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Li Y, Xiong H, Guo H, Xie Y, Zhao L, Gu J, Li H, Zhao S, Ding Y, Zhou C, Fang Z, Liu L. A gain-of-function mutation at the C-terminus of FT-D1 promotes heading by interacting with 14-3-3A and FDL6 in wheat. PLANT BIOTECHNOLOGY JOURNAL 2024. [PMID: 39276323 DOI: 10.1111/pbi.14474] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/28/2024] [Revised: 07/17/2024] [Accepted: 08/31/2024] [Indexed: 09/16/2024]
Abstract
Vernalization and photoperiod pathways converging at FT1 control the transition to flowering in wheat. Here, we identified a gain-of-function mutation in FT-D1 that results in earlier heading date (HD), and shorter plant height and spike length in the gamma ray-induced eh1 wheat mutant. Knockout of the wild-type and overexpression of the mutated FT-D1 indicate that both alleles are functional to affect HD and plant height. Protein interaction assays demonstrated that the frameshift mutation in FT-D1eh1 exon 3 led to gain-of-function interactions with 14-3-3A and FDL6, thereby enabling the formation of florigen activation complex (FAC) and consequently activating a flowering-related transcriptomic programme. This mutation did not affect FT-D1eh1 interactions with TaNaKR5 or TaFTIP7, both of which could modulate HD, potentially via mediating FT-D1 translocation to the shoot apical meristem. Furthermore, the 'Segment B' external loop is essential for FT-D1 interaction with FDL6, while residue Y85 is required for interactions with TaNaKR5 and TaFTIP7. Finally, the flowering regulatory hub gene, ELF5, was identified as the FT-D1 regulatory target. This study illustrates FT-D1 function in determining wheat HD with a suite of interaction partners and provides genetic resources for tuning HD in elite wheat lines.
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Affiliation(s)
- Yuting Li
- State Key Laboratory of Crop Gene Resources and Breeding/National Engineering Laboratory of Crop Molecular Breeding/CAEA Research and Development Centre on Nuclear Technology Applications for Irradiation Mutation Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
- MARA Key Laboratory of Sustainable Crop Production in the Middle Reaches of the Yangtze River (co-construction by Ministry and Province), College of Agriculture, Yangtze University, Jingzhou, 434025, China
| | - Hongchun Xiong
- State Key Laboratory of Crop Gene Resources and Breeding/National Engineering Laboratory of Crop Molecular Breeding/CAEA Research and Development Centre on Nuclear Technology Applications for Irradiation Mutation Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Huijun Guo
- State Key Laboratory of Crop Gene Resources and Breeding/National Engineering Laboratory of Crop Molecular Breeding/CAEA Research and Development Centre on Nuclear Technology Applications for Irradiation Mutation Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Yongdun Xie
- State Key Laboratory of Crop Gene Resources and Breeding/National Engineering Laboratory of Crop Molecular Breeding/CAEA Research and Development Centre on Nuclear Technology Applications for Irradiation Mutation Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Linshu Zhao
- State Key Laboratory of Crop Gene Resources and Breeding/National Engineering Laboratory of Crop Molecular Breeding/CAEA Research and Development Centre on Nuclear Technology Applications for Irradiation Mutation Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Jiayu Gu
- State Key Laboratory of Crop Gene Resources and Breeding/National Engineering Laboratory of Crop Molecular Breeding/CAEA Research and Development Centre on Nuclear Technology Applications for Irradiation Mutation Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Huiyuan Li
- State Key Laboratory of Crop Gene Resources and Breeding/National Engineering Laboratory of Crop Molecular Breeding/CAEA Research and Development Centre on Nuclear Technology Applications for Irradiation Mutation Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Shirong Zhao
- State Key Laboratory of Crop Gene Resources and Breeding/National Engineering Laboratory of Crop Molecular Breeding/CAEA Research and Development Centre on Nuclear Technology Applications for Irradiation Mutation Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Yuping Ding
- State Key Laboratory of Crop Gene Resources and Breeding/National Engineering Laboratory of Crop Molecular Breeding/CAEA Research and Development Centre on Nuclear Technology Applications for Irradiation Mutation Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Chunyun Zhou
- State Key Laboratory of Crop Gene Resources and Breeding/National Engineering Laboratory of Crop Molecular Breeding/CAEA Research and Development Centre on Nuclear Technology Applications for Irradiation Mutation Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Zhengwu Fang
- MARA Key Laboratory of Sustainable Crop Production in the Middle Reaches of the Yangtze River (co-construction by Ministry and Province), College of Agriculture, Yangtze University, Jingzhou, 434025, China
| | - Luxiang Liu
- State Key Laboratory of Crop Gene Resources and Breeding/National Engineering Laboratory of Crop Molecular Breeding/CAEA Research and Development Centre on Nuclear Technology Applications for Irradiation Mutation Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
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Bai X, Qiao P, Liu H, Shang Y, Guo J, Dai K. Genome-wide identification of the E-class gene family in wheat: evolution, expression, and interaction. FRONTIERS IN PLANT SCIENCE 2024; 15:1419437. [PMID: 39290745 PMCID: PMC11405201 DOI: 10.3389/fpls.2024.1419437] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/18/2024] [Accepted: 08/14/2024] [Indexed: 09/19/2024]
Abstract
Introduction Wheat (Triticum aestivum L.) is among themost important crop worldwide. Given a growing population and changing climate, enhancing wheat yield is of great importance. Yield is closely associated with flower and spike development, and E-class genes play important roles in the flower and kernel development of plants. Currently, the absence of systematic analysis on the E gene family hinders our comprehension of their roles in plant growth and development. Methods Identify E-class genes based on homologous sequence searches. Analyze the identified E-class genes through a series of gene family analyses. Determine the expression levels of wheat E-class genes by searching public databases. Validate the functions of these genes by transforming them into Arabidopsis. Finally, determine the interactions between the genes through yeast two-hybrid experiments. Results Fifteen E-class genes (TaEs) were identified in common wheat. Nine E-class genes were detected in five ancestral/closely related species, including one in Aegilops tauschii (AtE), one in T. Urartu (TuEs), two in T. turgidum (TtEs), two in T. dicoccoides (TdEs), and three in T. spelta (TsEs). The 24 E-class genes were classified into three subgroups using a phylogenetic approach. All genes were highly expressed in spikes, and most were only highly expressed at the floret meristem stage. The effects of TaSEP5-A on flowering and growth cycles were confirmed in homologous mutants and transgenic Arabidopsis thaliana. The E-class genes were able to regulate the growth cycle of Arabidopsis. Finally, we confirmed the interactions between TaSEP5-A and other wheat E-class genes based on yeast two-hybrid assays. Discussion Our findings provide information regarding the E-class genes in wheat and will potentially promote the application of these genes in wheat improvement.
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Affiliation(s)
- Xionghui Bai
- College of Agronomy, Key Laboratory of Sustainable Dryland Agriculture (Co-construction by Ministry and Province), Ministry of Agriculture and Rural Affairs, Shanxi Agricultural University, Jinzhong, China
| | - Pengfei Qiao
- College of Agronomy, Key Laboratory of Sustainable Dryland Agriculture (Co-construction by Ministry and Province), Ministry of Agriculture and Rural Affairs, Shanxi Agricultural University, Jinzhong, China
| | - Hanxiao Liu
- College of Agronomy, Key Laboratory of Sustainable Dryland Agriculture (Co-construction by Ministry and Province), Ministry of Agriculture and Rural Affairs, Shanxi Agricultural University, Jinzhong, China
| | - Yuping Shang
- College of Agronomy, Key Laboratory of Sustainable Dryland Agriculture (Co-construction by Ministry and Province), Ministry of Agriculture and Rural Affairs, Shanxi Agricultural University, Jinzhong, China
| | - Jie Guo
- College of Agronomy, Key Laboratory of Sustainable Dryland Agriculture (Co-construction by Ministry and Province), Ministry of Agriculture and Rural Affairs, Shanxi Agricultural University, Jinzhong, China
| | - Keli Dai
- College of Agronomy, Key Laboratory of Sustainable Dryland Agriculture (Co-construction by Ministry and Province), Ministry of Agriculture and Rural Affairs, Shanxi Agricultural University, Jinzhong, China
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3
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Mohammadi M, Mohammadi R. Potential of tetraploid wheats in plant breeding: A review. PLANT SCIENCE : AN INTERNATIONAL JOURNAL OF EXPERIMENTAL PLANT BIOLOGY 2024; 346:112155. [PMID: 38885883 DOI: 10.1016/j.plantsci.2024.112155] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/22/2024] [Revised: 06/05/2024] [Accepted: 06/08/2024] [Indexed: 06/20/2024]
Abstract
Domestication syndrome, selection pressure, and modern plant breeding programs have reduced the genetic diversity of the wheat germplasm. For the genetic gains of breeding programs to be sustainable, plant breeders require a diverse gene pool to select genes for resistance to biotic stress factors, tolerance to abiotic stress factors, and improved quality and yield components. Thus, old landraces, subspecies and wild ancestors are rich sources of genetic diversity that have not yet been fully exploited, and it is possible to utilize this diversity. Compared with durum wheat, tetraploid wheat subspecies have retained much greater genetic diversity despite genetic drift and various environmental influences, and the identification and utilization of this diversity can make a greater contribution to the genetic enrichment of wheat. In addition, using the pre-breeding method, the valuable left-behind alleles in the wheat gene pool can be re-introduced through hybridization and introgressive gene flow to create a sustainable opportunity for the genetic gain of wheat. This review provides some insights about the potential of tetraploid wheats in plant breeding and the genetic gains made by them in plant breeding across past decades, and gathers the known functional information on genes/QTLs, metabolites, traits and their direct involvement in wheat resistance/tolerance to biotic/abiotic stresses.
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Affiliation(s)
- Majid Mohammadi
- Dryland Agricultural Research Institute (DARI), Sararood branch, AREEO, Kermanshah, Iran.
| | - Reza Mohammadi
- Dryland Agricultural Research Institute (DARI), Sararood branch, AREEO, Kermanshah, Iran.
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Cavalet-Giorsa E, González-Muñoz A, Athiyannan N, Holden S, Salhi A, Gardener C, Quiroz-Chávez J, Rustamova SM, Elkot AF, Patpour M, Rasheed A, Mao L, Lagudah ES, Periyannan SK, Sharon A, Himmelbach A, Reif JC, Knauft M, Mascher M, Stein N, Chayut N, Ghosh S, Perovic D, Putra A, Perera AB, Hu CY, Yu G, Ahmed HI, Laquai KD, Rivera LF, Chen R, Wang Y, Gao X, Liu S, Raupp WJ, Olson EL, Lee JY, Chhuneja P, Kaur S, Zhang P, Park RF, Ding Y, Liu DC, Li W, Nasyrova FY, Dvorak J, Abbasi M, Li M, Kumar N, Meyer WB, Boshoff WHP, Steffenson BJ, Matny O, Sharma PK, Tiwari VK, Grewal S, Pozniak CJ, Chawla HS, Ens J, Dunning LT, Kolmer JA, Lazo GR, Xu SS, Gu YQ, Xu X, Uauy C, Abrouk M, Bougouffa S, Brar GS, Wulff BBH, Krattinger SG. Origin and evolution of the bread wheat D genome. Nature 2024; 633:848-855. [PMID: 39143210 PMCID: PMC11424481 DOI: 10.1038/s41586-024-07808-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2023] [Accepted: 07/10/2024] [Indexed: 08/16/2024]
Abstract
Bread wheat (Triticum aestivum) is a globally dominant crop and major source of calories and proteins for the human diet. Compared with its wild ancestors, modern bread wheat shows lower genetic diversity, caused by polyploidisation, domestication and breeding bottlenecks1,2. Wild wheat relatives represent genetic reservoirs, and harbour diversity and beneficial alleles that have not been incorporated into bread wheat. Here we establish and analyse extensive genome resources for Tausch's goatgrass (Aegilops tauschii), the donor of the bread wheat D genome. Our analysis of 46 Ae. tauschii genomes enabled us to clone a disease resistance gene and perform haplotype analysis across a complex disease resistance locus, allowing us to discern alleles from paralogous gene copies. We also reveal the complex genetic composition and history of the bread wheat D genome, which involves contributions from genetically and geographically discrete Ae. tauschii subpopulations. Together, our results reveal the complex history of the bread wheat D genome and demonstrate the potential of wild relatives in crop improvement.
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Affiliation(s)
- Emile Cavalet-Giorsa
- Plant Science Program, Biological and Environmental Science and Engineering Division (BESE), King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia
| | - Andrea González-Muñoz
- Plant Science Program, Biological and Environmental Science and Engineering Division (BESE), King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia
| | - Naveenkumar Athiyannan
- Plant Science Program, Biological and Environmental Science and Engineering Division (BESE), King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia
| | - Samuel Holden
- Faculty of Land and Food Systems, The University of British Columbia (UBC), Vancouver, British Columbia, Canada
| | - Adil Salhi
- Computer, Electrical and Mathematical Sciences and Engineering Division (CEMSE), Computational Bioscience Research Center (CBRC), King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia
| | - Catherine Gardener
- Plant Science Program, Biological and Environmental Science and Engineering Division (BESE), King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia
| | | | - Samira M Rustamova
- Institute of Molecular Biology and Biotechnologies, Ministry of Science and Education of the Republic of Azerbaijan, Baku, Azerbaijan
| | - Ahmed Fawzy Elkot
- Wheat Research Department, Field Crops Research Institute, Agricultural Research Center (ARC), Giza, Egypt
| | - Mehran Patpour
- Department of Agroecology, Aarhus University, Slagelse, Denmark
| | - Awais Rasheed
- Department of Plant Sciences, Quaid-i-Azam University, Islamabad, Pakistan
- International Maize and Wheat Improvement Centre (CIMMYT), c/o CAAS, Beijing, China
| | - Long Mao
- State Key Laboratory of Crop Gene Resources and Breeding and National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Evans S Lagudah
- Commonwealth Scientific and Industrial Research Organization (CSIRO), Agriculture and Food, Canberra, New South Wales, Australia
| | - Sambasivam K Periyannan
- Commonwealth Scientific and Industrial Research Organization (CSIRO), Agriculture and Food, Canberra, New South Wales, Australia
- Centre for Crop Health School of Agriculture and Environmental Science, University of Southern Queensland, Toowoomba, Queensland, Australia
| | - Amir Sharon
- Institute for Cereal Crops Improvement, School of Plant Sciences and Food Security, Tel Aviv University, Tel Aviv, Israel
| | - Axel Himmelbach
- Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Seeland, Germany
| | - Jochen C Reif
- Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Seeland, Germany
| | - Manuela Knauft
- Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Seeland, Germany
| | - Martin Mascher
- Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Seeland, Germany
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany
| | - Nils Stein
- Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Seeland, Germany
- Institute of Agricultural and Nutritional Sciences, Martin Luther University Halle-Wittenberg, Halle, Germany
| | - Noam Chayut
- John Innes Centre, Norwich Research Park, Norwich, UK
| | - Sreya Ghosh
- John Innes Centre, Norwich Research Park, Norwich, UK
| | - Dragan Perovic
- Julius Kuehn-Institute (JKI), Federal Research Centre for Cultivated Plants, Institute for Resistance Research and Stress Tolerance, Quedlinburg, Germany
| | - Alexander Putra
- Bioscience Core Lab, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia
| | - Ana B Perera
- Plant Science Program, Biological and Environmental Science and Engineering Division (BESE), King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia
| | - Chia-Yi Hu
- Plant Science Program, Biological and Environmental Science and Engineering Division (BESE), King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia
| | - Guotai Yu
- Plant Science Program, Biological and Environmental Science and Engineering Division (BESE), King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia
| | - Hanin Ibrahim Ahmed
- Plant Science Program, Biological and Environmental Science and Engineering Division (BESE), King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia
- Centre d'anthropobiologie et de génomique de Toulouse (CAGT), Laboratoire d'Anthropobiologie et d'Imagerie de Synthèse, CNRS UMR 5288, Faculté de Médecine de Purpan, Toulouse, France
| | - Konstanze D Laquai
- Plant Science Program, Biological and Environmental Science and Engineering Division (BESE), King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia
| | - Luis F Rivera
- Plant Science Program, Biological and Environmental Science and Engineering Division (BESE), King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia
| | - Renjie Chen
- Plant Science Program, Biological and Environmental Science and Engineering Division (BESE), King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia
| | - Yajun Wang
- Plant Science Program, Biological and Environmental Science and Engineering Division (BESE), King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia
- National Key Laboratory of Plant Molecular Genetics, Center for Excellence in Molecular Plant Sciences, Institute of Plant Physiology and Ecology, Chinese Academy of Sciences, Shanghai, China
| | - Xin Gao
- Computer, Electrical and Mathematical Sciences and Engineering Division (CEMSE), Computational Bioscience Research Center (CBRC), King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia
| | - Sanzhen Liu
- Department of Plant Pathology, Kansas State University, Manhattan, KS, USA
| | - W John Raupp
- Department of Plant Pathology and Wheat Genetics Resource Center, Kansas State University, Manhattan, KS, USA
| | - Eric L Olson
- Department of Plant, Soil and Microbial Sciences, Michigan State University, East Lansing, MI, USA
| | - Jong-Yeol Lee
- National Institute of Agricultural Sciences, Rural Development Administration, Jeonju, South Korea
| | - Parveen Chhuneja
- School of Agricultural Biotechnology, Punjab Agricultural University, Ludhiana, India
| | - Satinder Kaur
- School of Agricultural Biotechnology, Punjab Agricultural University, Ludhiana, India
| | - Peng Zhang
- Plant Breeding Institute, School of Life and Environmental Sciences, University of Sydney, Cobbitty, New South Wales, Australia
| | - Robert F Park
- Plant Breeding Institute, School of Life and Environmental Sciences, University of Sydney, Cobbitty, New South Wales, Australia
| | - Yi Ding
- Plant Breeding Institute, School of Life and Environmental Sciences, University of Sydney, Cobbitty, New South Wales, Australia
| | - Deng-Cai Liu
- Triticeae Research Institute, Sichuan Agricultural University, Chengdu, China
| | - Wanlong Li
- Department of Biology and Microbiology, South Dakota State University, Brookings, SD, USA
| | - Firuza Y Nasyrova
- Institute of Botany, Plant Physiology and Genetics, Tajik National Academy of Sciences, Dushanbe, Tajikistan
| | - Jan Dvorak
- Department of Plant Sciences, University of California, Davis, CA, USA
| | - Mehrdad Abbasi
- Faculty of Land and Food Systems, The University of British Columbia (UBC), Vancouver, British Columbia, Canada
| | - Meng Li
- Faculty of Land and Food Systems, The University of British Columbia (UBC), Vancouver, British Columbia, Canada
| | - Naveen Kumar
- Faculty of Land and Food Systems, The University of British Columbia (UBC), Vancouver, British Columbia, Canada
| | - Wilku B Meyer
- Department of Plant Sciences, University of the Free State, Bloemfontein, South Africa
| | - Willem H P Boshoff
- Department of Plant Sciences, University of the Free State, Bloemfontein, South Africa
| | - Brian J Steffenson
- Department of Plant Pathology, University of Minnesota, Saint Paul, MN, USA
| | - Oadi Matny
- Department of Plant Pathology, University of Minnesota, Saint Paul, MN, USA
| | - Parva K Sharma
- Department of Plant Science and Landscape Architecture, University of Maryland, College Park, MD, USA
| | - Vijay K Tiwari
- Department of Plant Science and Landscape Architecture, University of Maryland, College Park, MD, USA
| | - Surbhi Grewal
- Nottingham Wheat Research Centre, School of Biosciences, University of Nottingham, Loughborough, UK
| | - Curtis J Pozniak
- University of Saskatchewan, Crop Development Centre, Agriculture Building, Saskatoon, Saskatchewan, Canada
| | - Harmeet Singh Chawla
- University of Saskatchewan, Crop Development Centre, Agriculture Building, Saskatoon, Saskatchewan, Canada
- Department of Plant Science, University of Manitoba, Winnipeg, Manitoba, Canada
| | - Jennifer Ens
- University of Saskatchewan, Crop Development Centre, Agriculture Building, Saskatoon, Saskatchewan, Canada
| | - Luke T Dunning
- Ecology and Evolutionary Biology, School of Biosciences, University of Sheffield, Western Bank, Sheffield, UK
| | | | - Gerard R Lazo
- Crop Improvement and Genetics Research Unit, Western Regional Research Center, USDA-ARS, Albany, CA, USA
| | - Steven S Xu
- Crop Improvement and Genetics Research Unit, Western Regional Research Center, USDA-ARS, Albany, CA, USA
| | - Yong Q Gu
- Crop Improvement and Genetics Research Unit, Western Regional Research Center, USDA-ARS, Albany, CA, USA
| | - Xianyang Xu
- Peanut and Small Grains Research Unit, USDA-ARS, Stillwater, OK, USA
| | | | - Michael Abrouk
- Plant Science Program, Biological and Environmental Science and Engineering Division (BESE), King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia
| | - Salim Bougouffa
- Computer, Electrical and Mathematical Sciences and Engineering Division (CEMSE), Computational Bioscience Research Center (CBRC), King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia
| | - Gurcharn S Brar
- Faculty of Land and Food Systems, The University of British Columbia (UBC), Vancouver, British Columbia, Canada
- Faculty of Agricultural, Life and Environmental Sciences, University of Alberta, Edmonton, Canada
| | - Brande B H Wulff
- Plant Science Program, Biological and Environmental Science and Engineering Division (BESE), King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia.
| | - Simon G Krattinger
- Plant Science Program, Biological and Environmental Science and Engineering Division (BESE), King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia.
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Yang B, Qiao L, Zheng X, Zheng J, Wu B, Li X, Zhao J. Quantitative Trait Loci Mapping of Heading Date in Wheat under Phosphorus Stress Conditions. Genes (Basel) 2024; 15:1150. [PMID: 39336741 PMCID: PMC11431698 DOI: 10.3390/genes15091150] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2024] [Revised: 08/27/2024] [Accepted: 08/28/2024] [Indexed: 09/30/2024] Open
Abstract
Wheat (Triticum aestivum L.) is a crucial cereal crop, contributing around 20% of global caloric intake. However, challenges such as diminishing arable land, water shortages, and climate change threaten wheat production, making yield enhancement crucial for global food security. The heading date (HD) is a critical factor influencing wheat's growth cycle, harvest timing, climate adaptability, and yield. Understanding the genetic determinants of HD is essential for developing high-yield and stable wheat varieties. This study used a doubled haploid (DH) population from a cross between Jinmai 47 and Jinmai 84. QTL analysis of HD was performed under three phosphorus (P) treatments (low, medium, and normal) across six environments, using Wheat15K high-density SNP technology. The study identified 39 QTLs for HD, distributed across ten chromosomes, accounting for 2.39% to 29.52% of the phenotypic variance. Notably, five stable and major QTLs (Qhd.saw-3A.7, Qhd.saw-3A.8, Qhd.saw-3A.9, Qhd.saw-4A.4, and Qhd.saw-4D.3) were consistently detected across varying P conditions. The additive effects of these major QTLs showed that favorable alleles significantly delayed HD. There was a clear trend of increasing HD delay as the number of favorable alleles increased. Among them, Qhd.saw-3A.8, Qhd.saw-3A.9, and Qhd.saw-4D.3 were identified as novel QTLs with no prior reports of HD QTLs/genes in their respective intervals. Candidate gene analysis highlighted seven highly expressed genes related to Ca2+ transport, hormone signaling, glycosylation, and zinc finger proteins, likely involved in HD regulation. This research elucidates the genetic basis of wheat HD under P stress, providing critical insights for breeding high-yield, stable wheat varieties suited to low-P environments.
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Affiliation(s)
- Bin Yang
- Institute of Wheat Research, Shanxi Agricultural University, Linfen 041000, China
| | - Ling Qiao
- Institute of Wheat Research, Shanxi Agricultural University, Linfen 041000, China
| | - Xingwei Zheng
- Institute of Wheat Research, Shanxi Agricultural University, Linfen 041000, China
| | - Jun Zheng
- Institute of Wheat Research, Shanxi Agricultural University, Linfen 041000, China
| | - Bangbang Wu
- Institute of Wheat Research, Shanxi Agricultural University, Linfen 041000, China
| | - Xiaohua Li
- Institute of Wheat Research, Shanxi Agricultural University, Linfen 041000, China
| | - Jiajia Zhao
- Institute of Wheat Research, Shanxi Agricultural University, Linfen 041000, China
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6
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Peracchi LM, Brew-Appiah RAT, Garland-Campbell K, Roalson EH, Sanguinet KA. Genome-wide characterization and expression analysis of the CINNAMYL ALCOHOL DEHYDROGENASE gene family in Triticum aestivum. BMC Genomics 2024; 25:816. [PMID: 39210247 PMCID: PMC11363449 DOI: 10.1186/s12864-024-10648-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2024] [Accepted: 07/22/2024] [Indexed: 09/04/2024] Open
Abstract
BACKGROUND CINNAMYL ALCOHOL DEHYDROGENASE (CAD) catalyzes the NADPH-dependent reduction of cinnamaldehydes into cinnamyl alcohols and is a key enzyme found at the final step of the monolignol pathway. Cinnamyl alcohols and their conjugates are subsequently polymerized in the secondary cell wall to form lignin. CAD genes are typically encoded by multi-gene families and thus traditionally organized into general classifications of functional relevance. RESULTS In silico analysis of the hexaploid Triticum aestivum genome revealed 47 high confidence TaCAD copies, of which three were determined to be the most significant isoforms (class I) considered bone fide CADs. Class I CADs were expressed throughout development both in RNAseq data sets as well as via qRT-PCR analysis. Of the 37 class II TaCADs identified, two groups were observed to be significantly co-expressed with class I TaCADs in developing tissue and under chitin elicitation in RNAseq data sets. These co-expressed class II TaCADs were also found to be phylogenetically unrelated to a separate clade of class II TaCADs previously reported to be an influential resistance factor to pathogenic fungal infection. Lastly, two groups were phylogenetically identified as class III TaCADs, which possess distinct conserved gene structures. However, the lack of data supporting their catalytic activity for cinnamaldehydes and their bereft transcriptional presence in lignifying tissues challenges their designation and function as CADs. CONCLUSIONS Taken together, our comprehensive transcriptomic analyses suggest that TaCAD genes contribute to overlapping but nonredundant functions during T. aestivum growth and development across a wide variety of agroecosystems and provide tolerance to various stressors.
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Affiliation(s)
- Luigi M Peracchi
- Department of Crop and Soil Sciences, Washington State University, Pullman, WA, 99164, USA
- Molecular Plant Sciences Graduate Group, Washington State University, Pullman, WA, 99164, USA
| | - Rhoda A T Brew-Appiah
- Department of Crop and Soil Sciences, Washington State University, Pullman, WA, 99164, USA
| | - Kimberly Garland-Campbell
- Department of Crop and Soil Sciences, Washington State University, Pullman, WA, 99164, USA
- Molecular Plant Sciences Graduate Group, Washington State University, Pullman, WA, 99164, USA
- USDA-ARS Wheat Health, Genetics and Quality Research, Pullman, WA, 99164, USA
| | - Eric H Roalson
- Molecular Plant Sciences Graduate Group, Washington State University, Pullman, WA, 99164, USA
- School of Biological Sciences, Washington State University, Pullman, WA, 99164, USA
| | - Karen A Sanguinet
- Department of Crop and Soil Sciences, Washington State University, Pullman, WA, 99164, USA.
- Molecular Plant Sciences Graduate Group, Washington State University, Pullman, WA, 99164, USA.
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Zhang Y, Du A, Tong L, Yan G, Lu L, Yin Y, Fu X, Yang H, Li H, Huang W, Cai D, Song Z, Zhang X, He Y, Tu S. Genome Resequencing for Autotetraploid Rice and Its Closest Relatives Reveals Abundant Variation and High Potential in Rice Breeding. Int J Mol Sci 2024; 25:9012. [PMID: 39201698 PMCID: PMC11354466 DOI: 10.3390/ijms25169012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2024] [Revised: 08/08/2024] [Accepted: 08/12/2024] [Indexed: 09/03/2024] Open
Abstract
Polyploid rice and its reverted diploid show rich phenotypic variation and strong heterosis, showing great breeding value. However, the genomic differences among tetraploids, counterpart common diploids, tetraploid-revertant diploids, and hybrid descendants are unclear. In this work, we bred a new excellent two-line hybrid rice variety, Y Liang You Duo Hui 14 (HTRM12), using Haitian tetraploid self-reverted diploid (HTRM2). Furthermore, we comparatively analyzed the important agronomic traits and genome-wide variations of those closest relatives, Haitian diploid (HT2), Haitian tetraploid (HT4), HTRM2, and HTRM12 in detail, based on multiple phenotypic investigations, genome resequencing, and bioinformatics analysis. The results of agronomic traits analysis and genome-wide variation analysis of single nucleotide polymorphism (SNP), insertion-deletion (InDel), and copy number variation (CNV) show that HT4 and HTRM2 had abundant phenotypic and genomic variations compared to HT2. HTRM2 can inherit important traits and variations from HT4. This implies that tetraploid self-reverted diploid has high potential in creating excellent breeding materials and in breeding breakthrough hybrid rice varieties. Our study verifies the feasibility that polyploid rice could be used as a mutation carrier for creating variations and provides genomic information, new breeding materials, and a new way of application for tetraploid rice breeding.
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Affiliation(s)
- Yachun Zhang
- Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu 610213, China; (Y.Z.); (A.D.); (L.L.); (X.F.); (H.Y.); (H.L.); (W.H.)
- State Key Laboratory of Biocatalysis and Enzyme Engineering, School of Life Sciences, Hubei University, Wuhan 430062, China; (L.T.); (G.Y.); (Y.Y.); (D.C.); (Z.S.); (X.Z.)
| | - Anping Du
- Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu 610213, China; (Y.Z.); (A.D.); (L.L.); (X.F.); (H.Y.); (H.L.); (W.H.)
| | - Liqi Tong
- State Key Laboratory of Biocatalysis and Enzyme Engineering, School of Life Sciences, Hubei University, Wuhan 430062, China; (L.T.); (G.Y.); (Y.Y.); (D.C.); (Z.S.); (X.Z.)
| | - Gui Yan
- State Key Laboratory of Biocatalysis and Enzyme Engineering, School of Life Sciences, Hubei University, Wuhan 430062, China; (L.T.); (G.Y.); (Y.Y.); (D.C.); (Z.S.); (X.Z.)
| | - Longxiang Lu
- Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu 610213, China; (Y.Z.); (A.D.); (L.L.); (X.F.); (H.Y.); (H.L.); (W.H.)
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yanni Yin
- State Key Laboratory of Biocatalysis and Enzyme Engineering, School of Life Sciences, Hubei University, Wuhan 430062, China; (L.T.); (G.Y.); (Y.Y.); (D.C.); (Z.S.); (X.Z.)
| | - Xingyue Fu
- Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu 610213, China; (Y.Z.); (A.D.); (L.L.); (X.F.); (H.Y.); (H.L.); (W.H.)
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Huixin Yang
- Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu 610213, China; (Y.Z.); (A.D.); (L.L.); (X.F.); (H.Y.); (H.L.); (W.H.)
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Hui Li
- Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu 610213, China; (Y.Z.); (A.D.); (L.L.); (X.F.); (H.Y.); (H.L.); (W.H.)
| | - Weizao Huang
- Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu 610213, China; (Y.Z.); (A.D.); (L.L.); (X.F.); (H.Y.); (H.L.); (W.H.)
| | - Detian Cai
- State Key Laboratory of Biocatalysis and Enzyme Engineering, School of Life Sciences, Hubei University, Wuhan 430062, China; (L.T.); (G.Y.); (Y.Y.); (D.C.); (Z.S.); (X.Z.)
| | - Zhaojian Song
- State Key Laboratory of Biocatalysis and Enzyme Engineering, School of Life Sciences, Hubei University, Wuhan 430062, China; (L.T.); (G.Y.); (Y.Y.); (D.C.); (Z.S.); (X.Z.)
| | - Xianhua Zhang
- State Key Laboratory of Biocatalysis and Enzyme Engineering, School of Life Sciences, Hubei University, Wuhan 430062, China; (L.T.); (G.Y.); (Y.Y.); (D.C.); (Z.S.); (X.Z.)
| | - Yuchi He
- State Key Laboratory of Biocatalysis and Enzyme Engineering, School of Life Sciences, Hubei University, Wuhan 430062, China; (L.T.); (G.Y.); (Y.Y.); (D.C.); (Z.S.); (X.Z.)
| | - Shengbin Tu
- Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu 610213, China; (Y.Z.); (A.D.); (L.L.); (X.F.); (H.Y.); (H.L.); (W.H.)
- University of Chinese Academy of Sciences, Beijing 100049, China
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8
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Wang C, Liu L, Yin M, Liu B, Wu Y, Eller F, Gao Y, Brix H, Wang T, Guo W, Salojärvi J. Chromosome-level genome assemblies reveal genome evolution of an invasive plant Phragmites australis. Commun Biol 2024; 7:1007. [PMID: 39154094 PMCID: PMC11330502 DOI: 10.1038/s42003-024-06660-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2024] [Accepted: 07/30/2024] [Indexed: 08/19/2024] Open
Abstract
Biological invasions pose a significant threat to ecosystems, disrupting local biodiversity and ecosystem functions. The genomic underpinnings of invasiveness, however, are still largely unknown, making it difficult to predict and manage invasive species effectively. The common reed (Phragmites australis) is a dominant grass species in wetland ecosystems and has become particularly invasive when transferred from Europe to North America. Here, we present a high-quality gap-free, telomere-to-telomere genome assembly of Phragmites australis consisting of 24 pseudochromosomes and a B chromosome. Fully phased subgenomes demonstrated considerable subgenome dominance and revealed the divergence of diploid progenitors approximately 30.9 million years ago. Comparative genomics using chromosome-level scaffolds for three other lineages and a previously published draft genome assembly of an invasive lineage revealed that gene family expansions in the form of tandem duplications may have contributed to the invasiveness of the lineage. This study sheds light on the genome evolution of Arundinoideae grasses and suggests that genetic drivers, such as gene family expansions and tandem duplications, may underly the processes of biological invasion in plants. These findings provide a crucial step toward understanding and managing the genetic basis of invasiveness in plant species.
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Affiliation(s)
- Cui Wang
- Key Laboratory of Ecological Prewarning, Protection and Restoration of Bohai Sea, Ministry of Natural Resources, School of Life Sciences, Shandong University, Qingdao, PR China
- Organismal and Evolutionary Biology Research Programme, Faculty of Biological and Environmental Sciences, University of Helsinki, Helsinki, Finland
| | - Lele Liu
- Key Laboratory of Ecological Prewarning, Protection and Restoration of Bohai Sea, Ministry of Natural Resources, School of Life Sciences, Shandong University, Qingdao, PR China
| | - Meiqi Yin
- Key Laboratory of Ecological Prewarning, Protection and Restoration of Bohai Sea, Ministry of Natural Resources, School of Life Sciences, Shandong University, Qingdao, PR China
| | - Bingbing Liu
- Institute of Loess Plateau, Shanxi University, Taiyuan, China
| | - Yiming Wu
- Key Laboratory of Ecological Prewarning, Protection and Restoration of Bohai Sea, Ministry of Natural Resources, School of Life Sciences, Shandong University, Qingdao, PR China
| | | | - Yingqi Gao
- Institute of Loess Plateau, Shanxi University, Taiyuan, China
| | - Hans Brix
- Department of Biology, Aarhus University, Aarhus, Denmark
| | - Tong Wang
- College of Landscape Architecture and Forestry, Qingdao Agricultural University, Qingdao, China
| | - Weihua Guo
- Key Laboratory of Ecological Prewarning, Protection and Restoration of Bohai Sea, Ministry of Natural Resources, School of Life Sciences, Shandong University, Qingdao, PR China.
| | - Jarkko Salojärvi
- Organismal and Evolutionary Biology Research Programme, Faculty of Biological and Environmental Sciences, University of Helsinki, Helsinki, Finland.
- School of Biological Sciences, Nanyang Technological University, Singapore, Singapore.
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9
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Abdelrahman M, Gorafi YSA, Sulieman S, Jogaiah S, Gupta A, Tsujimoto H, Nguyen HT, Herrera-Estrella L, Tran LSP. Wild grass-derived alleles represent a genetic architecture for the resilience of modern common wheat to stresses. THE PLANT JOURNAL : FOR CELL AND MOLECULAR BIOLOGY 2024; 119:1685-1702. [PMID: 38935838 DOI: 10.1111/tpj.16887] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/15/2023] [Revised: 05/28/2024] [Accepted: 06/03/2024] [Indexed: 06/29/2024]
Abstract
This review explores the integration of wild grass-derived alleles into modern bread wheat breeding to tackle the challenges of climate change and increasing food demand. With a focus on synthetic hexaploid wheat, this review highlights the potential of genetic variability in wheat wild relatives, particularly Aegilops tauschii, for improving resilience to multifactorial stresses like drought, heat, and salinity. The evolutionary journey of wheat (Triticum spp.) from diploid to hexaploid species is examined, revealing significant genetic contributions from wild grasses. We also emphasize the importance of understanding incomplete lineage sorting in the genomic evolution of wheat. Grasping this information is crucial as it can guide breeders in selecting the appropriate alleles from the gene pool of wild relatives to incorporate into modern wheat varieties. This approach improves the precision of phylogenetic relationships and increases the overall effectiveness of breeding strategies. This review also addresses the challenges in utilizing the wheat wild genetic resources, such as the linkage drag and cross-compatibility issues. Finally, we culminate the review with future perspectives, advocating for a combined approach of high-throughput phenotyping tools and advanced genomic techniques to comprehensively understand the genetic and regulatory architectures of wheat under stress conditions, paving the way for more precise and efficient breeding strategies.
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Affiliation(s)
- Mostafa Abdelrahman
- Institute of Genomics for Crop Abiotic Stress Tolerance, Texas Tech University, Lubbock, 79409, Texas, USA
| | - Yasir Serag Alnor Gorafi
- Graduate School of Agriculture, Kyoto University, Sakyo-ku, Kitashirakawa, 606-8502, Kyoto, Japan
| | - Saad Sulieman
- Department of Agronomy, Faculty of Agriculture, University of Khartoum, Khartoum North, 13314, Sudan
| | - Sudisha Jogaiah
- Department of Environmental Science, Central University of Kerala, Periye, Kasaragod, 671316, Kerala, India
| | - Aarti Gupta
- Institute of Genomics for Crop Abiotic Stress Tolerance, Texas Tech University, Lubbock, 79409, Texas, USA
| | - Hisashi Tsujimoto
- Arid Land Research Center, Tottori University, Tottori, 680-0001, Japan
| | - Henry T Nguyen
- Division of Plant Sciences and Technology, University of Missouri, Columbia, 65211, Missouri, USA
| | - Luis Herrera-Estrella
- Institute of Genomics for Crop Abiotic Stress Tolerance, Texas Tech University, Lubbock, 79409, Texas, USA
- Unidad de Genomica Avanzada, Centro de Investigación y de Estudios Avanzados del Intituto Politécnico Nacional, Irapuato, 36821, Mexico
| | - Lam-Son Phan Tran
- Institute of Genomics for Crop Abiotic Stress Tolerance, Texas Tech University, Lubbock, 79409, Texas, USA
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Aufiero G, Fruggiero C, D’Angelo D, D’Agostino N. Homoeologs in Allopolyploids: Navigating Redundancy as Both an Evolutionary Opportunity and a Technical Challenge-A Transcriptomics Perspective. Genes (Basel) 2024; 15:977. [PMID: 39202338 PMCID: PMC11353593 DOI: 10.3390/genes15080977] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2024] [Revised: 07/22/2024] [Accepted: 07/23/2024] [Indexed: 09/03/2024] Open
Abstract
Allopolyploidy in plants involves the merging of two or more distinct parental genomes into a single nucleus, a significant evolutionary process in the plant kingdom. Transcriptomic analysis provides invaluable insights into allopolyploid plants by elucidating the fate of duplicated genes, revealing evolutionary novelties and uncovering their environmental adaptations. By examining gene expression profiles, scientists can discern how duplicated genes have evolved to acquire new functions or regulatory roles. This process often leads to the development of novel traits and adaptive strategies that allopolyploid plants leverage to thrive in diverse ecological niches. Understanding these molecular mechanisms not only enhances our appreciation of the genetic complexity underlying allopolyploidy but also underscores their importance in agriculture and ecosystem resilience. However, transcriptome profiling is challenging due to genomic redundancy, which is further complicated by the presence of multiple chromosomes sets and the variations among homoeologs and allelic genes. Prior to transcriptome analysis, sub-genome phasing and homoeology inference are essential for obtaining a comprehensive view of gene expression. This review aims to clarify the terminology in this field, identify the most challenging aspects of transcriptome analysis, explain their inherent difficulties, and suggest reliable analytic strategies. Furthermore, bulk RNA-seq is highlighted as a primary method for studying allopolyploid gene expression, focusing on critical steps like read mapping and normalization in differential gene expression analysis. This approach effectively captures gene expression from both parental genomes, facilitating a comprehensive analysis of their combined profiles. Its sensitivity in detecting low-abundance transcripts allows for subtle differences between parental genomes to be identified, crucial for understanding regulatory dynamics and gene expression balance in allopolyploids.
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Affiliation(s)
| | | | | | - Nunzio D’Agostino
- Department of Agricultural Sciences, University of Naples Federico II, 80055 Portici, Italy; (G.A.); (C.F.); (D.D.)
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11
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Niu J, Wang W, Wang Z, Chen Z, Zhang X, Qin Z, Miao L, Yang Z, Xie C, Xin M, Peng H, Yao Y, Liu J, Ni Z, Sun Q, Guo W. Tagging large CNV blocks in wheat boosts digitalization of germplasm resources by ultra-low-coverage sequencing. Genome Biol 2024; 25:171. [PMID: 38951917 PMCID: PMC11218387 DOI: 10.1186/s13059-024-03315-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2024] [Accepted: 06/18/2024] [Indexed: 07/03/2024] Open
Abstract
BACKGROUND The massive structural variations and frequent introgression highly contribute to the genetic diversity of wheat, while the huge and complex genome of polyploid wheat hinders efficient genotyping of abundant varieties towards accurate identification, management, and exploitation of germplasm resources. RESULTS We develop a novel workflow that identifies 1240 high-quality large copy number variation blocks (CNVb) in wheat at the pan-genome level, demonstrating that CNVb can serve as an ideal DNA fingerprinting marker for discriminating massive varieties, with the accuracy validated by PCR assay. We then construct a digitalized genotyping CNVb map across 1599 global wheat accessions. Key CNVb markers are linked with trait-associated introgressions, such as the 1RS·1BL translocation and 2NvS translocation, and the beneficial alleles, such as the end-use quality allele Glu-D1d (Dx5 + Dy10) and the semi-dwarf r-e-z allele. Furthermore, we demonstrate that these tagged CNVb markers promote a stable and cost-effective strategy for evaluating wheat germplasm resources with ultra-low-coverage sequencing data, competing with SNP array for applications such as evaluating new varieties, efficient management of collections in gene banks, and describing wheat germplasm resources in a digitalized manner. We also develop a user-friendly interactive platform, WheatCNVb ( http://wheat.cau.edu.cn/WheatCNVb/ ), for exploring the CNVb profiles over ever-increasing wheat accessions, and also propose a QR-code-like representation of individual digital CNVb fingerprint. This platform also allows uploading new CNVb profiles for comparison with stored varieties. CONCLUSIONS The CNVb-based approach provides a low-cost and high-throughput genotyping strategy for enabling digitalized wheat germplasm management and modern breeding with precise and practical decision-making.
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Affiliation(s)
- Jianxia Niu
- Frontiers Science Center for Molecular Design Breeding, Key Laboratory of Crop Heterosis and Utilization, Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193, China
- Sanya Institute of China Agricultural University, Sanya, 572025, China
| | - Wenxi Wang
- Frontiers Science Center for Molecular Design Breeding, Key Laboratory of Crop Heterosis and Utilization, Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193, China
| | - Zihao Wang
- Frontiers Science Center for Molecular Design Breeding, Key Laboratory of Crop Heterosis and Utilization, Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193, China
- Sanya Institute of China Agricultural University, Sanya, 572025, China
| | - Zhe Chen
- Frontiers Science Center for Molecular Design Breeding, Key Laboratory of Crop Heterosis and Utilization, Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193, China
| | - Xiaoyu Zhang
- Frontiers Science Center for Molecular Design Breeding, Key Laboratory of Crop Heterosis and Utilization, Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193, China
| | - Zhen Qin
- Frontiers Science Center for Molecular Design Breeding, Key Laboratory of Crop Heterosis and Utilization, Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193, China
| | - Lingfeng Miao
- Frontiers Science Center for Molecular Design Breeding, Key Laboratory of Crop Heterosis and Utilization, Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193, China
| | - Zhengzhao Yang
- Frontiers Science Center for Molecular Design Breeding, Key Laboratory of Crop Heterosis and Utilization, Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193, China
| | - Chaojie Xie
- Frontiers Science Center for Molecular Design Breeding, Key Laboratory of Crop Heterosis and Utilization, Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193, China
| | - Mingming Xin
- Frontiers Science Center for Molecular Design Breeding, Key Laboratory of Crop Heterosis and Utilization, Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193, China
| | - Huiru Peng
- Frontiers Science Center for Molecular Design Breeding, Key Laboratory of Crop Heterosis and Utilization, Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193, China
| | - Yingyin Yao
- Frontiers Science Center for Molecular Design Breeding, Key Laboratory of Crop Heterosis and Utilization, Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193, China
| | - Jie Liu
- Frontiers Science Center for Molecular Design Breeding, Key Laboratory of Crop Heterosis and Utilization, Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193, China
| | - Zhongfu Ni
- Frontiers Science Center for Molecular Design Breeding, Key Laboratory of Crop Heterosis and Utilization, Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193, China
| | - Qixin Sun
- Frontiers Science Center for Molecular Design Breeding, Key Laboratory of Crop Heterosis and Utilization, Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193, China.
| | - Weilong Guo
- Frontiers Science Center for Molecular Design Breeding, Key Laboratory of Crop Heterosis and Utilization, Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193, China.
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12
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Yang Z, Yang R, Bai W, Chen W, Kong X, Zhou Y, Qiao W, Zhang Y, Sun J. Q negatively regulates wheat salt tolerance through directly repressing the expression of TaSOS1 and reactive oxygen species scavenging genes. THE PLANT JOURNAL : FOR CELL AND MOLECULAR BIOLOGY 2024; 119:478-489. [PMID: 38659310 DOI: 10.1111/tpj.16777] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/02/2024] [Revised: 03/28/2024] [Accepted: 04/10/2024] [Indexed: 04/26/2024]
Abstract
The Q transcription factor plays important roles in improving multiple wheat domestication traits such as spike architecture, threshability and rachis fragility. However, whether and how it regulates abiotic stress adaptation remain unclear. We found that the transcriptional expression of Q can be induced by NaCl and abscisic acid treatments. Using the q mutants generated by CRISPR/Cas9 and Q overexpression transgenic lines, we showed that the domesticated Q gene causes a penalty in wheat salt tolerance. Then, we demonstrated that Q directly represses the transcription of TaSOS1-3B and reactive oxygen species (ROS) scavenging genes to regulate Na+ and ROS homeostasis in wheat. Furthermore, we showed that wheat salt tolerance protein TaWD40 interacts with Q to competitively interfere with the interaction between Q and the transcriptional co-repressor TaTPL. Taken together, our findings reveal that Q directly represses the expression of TaSOS1 and some ROS scavenging genes, thus causing a harmful effect on wheat salt tolerance.
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Affiliation(s)
- Ziyi Yang
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Ruizhen Yang
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Wanqing Bai
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Wenxi Chen
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Xiuying Kong
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Yun Zhou
- State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Kaifeng, Henan, 475001, China
| | - Weihua Qiao
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Yunwei Zhang
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Jiaqiang Sun
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
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13
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Sallam A, Amro A, Mourad AMI, Rafeek A, Boerner A, Eltaher S. Molecular genetic diversity and linkage disequilibrium structure of the Egyptian faba bean using Single Primer Enrichment Technology (SPET). BMC Genomics 2024; 25:644. [PMID: 38943067 PMCID: PMC11212244 DOI: 10.1186/s12864-024-10245-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2023] [Accepted: 03/21/2024] [Indexed: 07/01/2024] Open
Abstract
Faba bean is an important legume crop. The genetic diversity among faba bean genotypes is very important for the genetic improvement of target traits. A set of 128 fab bean genotypes that are originally from Egypt were used in this study to investigate the genetic diversity and population structure. The 128 genotypes were genotyped using the Single Primer Enrichment Technology (SPET) by which a set of 6759 SNP markers were generated after filtration. The SNP markers were distributed on all chromosomes with a range extending from 822 (Chr. 6) to 1872 (Chr.1). The SNP markers had wide ranges of polymorphic information content (PIC), gene diversity (GD), and minor allele frequency. The analysis of population structure divided the Egyptian faba bean population into five subpopulations. Considerable genetic distance was found among all genotypes, ranging from 0.1 to 0.4. The highly divergent genotype was highlighted in this study and the genetic distance among genotypes ranged from 0.1 and 0.6. Moreover, the structure of linkage disequilibrium was studied, and the analysis revealed a low level of LD in the Egyptian faba bean population. A slow LD decay at the genomic and chromosomal levels was observed. Interestingly, the distribution of haplotype blocks was presented in each chromosome and the number of haplotype block ranged from 65 (Chr. 4) to 156 (Chr. 1). Migration and genetic drift are the main reasons for the low LD in the Egyptian faba bean population. The results of this study shed light on the possibility of the genetic improvement of faba bean crop in Egypt and conducting genetic association analyses to identify candidate genes associated with target traits (e.g. protein content, grain yield, etc.) in this panel.
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Affiliation(s)
- Ahmed Sallam
- Genebank Department, Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Stadt Seeland, Germany.
- Department of Genetics, Faculty of Agriculture, Assiut University, Assiut, 71526, Egypt.
| | - Ahmed Amro
- Department of Botany and Microbiology, Faculty of Science, Faculty of Assiut University, Assiut, 71526, Egypt
| | - Amira M I Mourad
- Genebank Department, Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Stadt Seeland, Germany
- Department of Agronomy, Faculty of Agriculture, Assiut University, Assiut, 71526, Egypt
| | - Abdallah Rafeek
- Department of Genetics, Faculty of Agriculture, Assiut University, Assiut, 71526, Egypt
| | - Andreas Boerner
- Genebank Department, Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Stadt Seeland, Germany
| | - Shamaseldeen Eltaher
- Department of Plant Biotechnology, Genetic Engineering and Biotechnology Research Institute (GEBRI), University of Sadat City, Sadat City, Egypt
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14
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Ehtaiwesh A, Sunoj VSJ, Djanaguiraman M, Prasad PVV. Response of winter wheat genotypes to salinity stress under controlled environments. FRONTIERS IN PLANT SCIENCE 2024; 15:1396498. [PMID: 38978515 PMCID: PMC11228282 DOI: 10.3389/fpls.2024.1396498] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/05/2024] [Accepted: 05/30/2024] [Indexed: 07/10/2024]
Abstract
This study was conducted in controlled environmental conditions to systematically evaluate multi-traits responses of winter wheat (Triticum aestivum L.) genotypes to different salinity levels. Responses were assessed at the germination to early seedling stage (Experiment 1). Seeds of different genotypes (n=292) were subjected to three salinity levels (0 [control], 60, and 120 mM NaCl). Principal Component Analysis (PCA) revealed that among studied traits seedling vigor index (SVI) contributed more towards the diverse response of genotypes to salinity stress. Based on SVI, eight contrasting genotypes assumed to be tolerant (Gage, Guymon, MTS0531, and Tascosa) and susceptible (CO04W320, Carson, TX04M410211) were selected for further physio-biochemical evaluation at the booting stage (Experiment 2) and to monitor grain yield. Higher level of salinity (120 mM NaCl) exposure at the booting stage increased thylakoid membrane damage, lipid peroxidation, sugars, proline, and protein while decreasing photosynthesis, chlorophyll index, starch, and grain yield. Based on grain yield, the assumed magnitude of the genotypic response shown in Experiment 1 was not analogous in Experiment 2. This indicates the necessity of individual screening of genotypes at different sensitive growth stages for identifying true salinity-tolerant and susceptible genotypes at a particular growth stage. However, based on higher grain yield and its least percentage reduction under higher salinity, Guymon and TX04M410211 were identified as tolerant, and Gage and CO04W320 as susceptible at the booting stage, and their biparental population can be used to identify genomic regions for booting stage-specific salinity response.
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Affiliation(s)
- Amal Ehtaiwesh
- Department of Agronomy, Crop Physiology Lab, 2004 Throckmorton Plant Science Center, Kansas State University, Manhattan, KS, United States
| | - V. S. John Sunoj
- Department of Agronomy, Crop Physiology Lab, 2004 Throckmorton Plant Science Center, Kansas State University, Manhattan, KS, United States
- Crop Eco-physiology, Texas A&M AgriLife Research and Extension Center, Uvalde, TX, United States
| | - Maduraimuthu Djanaguiraman
- Department of Agronomy, Crop Physiology Lab, 2004 Throckmorton Plant Science Center, Kansas State University, Manhattan, KS, United States
- Department of Crop Physiology, Tamil Nadu Agricultural University, Coimbatore, India
| | - P. V. Vara Prasad
- Department of Agronomy, Crop Physiology Lab, 2004 Throckmorton Plant Science Center, Kansas State University, Manhattan, KS, United States
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Dreisigacker S, Martini JWR, Cuevas J, Pérez-Rodríguez P, Lozano-Ramírez N, Huerta J, Singh P, Crespo-Herrera L, Bentley AR, Crossa J. Genomic prediction of synthetic hexaploid wheat upon tetraploid durum and diploid Aegilops parental pools. THE PLANT GENOME 2024; 17:e20464. [PMID: 38764312 DOI: 10.1002/tpg2.20464] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/30/2023] [Revised: 04/04/2024] [Accepted: 04/09/2024] [Indexed: 05/21/2024]
Abstract
Bread wheat (Triticum aestivum L.) is a globally important food crop, which was domesticated about 8-10,000 years ago. Bread wheat is an allopolyploid, and it evolved from two hybridization events of three species. To widen the genetic base in breeding, bread wheat has been re-synthesized by crossing durum wheat (Triticum turgidum ssp. durum) and goat grass (Aegilops tauschii Coss), leading to so-called synthetic hexaploid wheat (SHW). We applied the quantitative genetics tools of "hybrid prediction"-originally developed for the prediction of wheat hybrids generated from different heterotic groups - to a situation of allopolyploidization. Our use-case predicts the phenotypes of SHW for three quantitatively inherited global wheat diseases, namely tan spot (TS), septoria nodorum blotch (SNB), and spot blotch (SB). Our results revealed prediction abilities comparable to studies in 'traditional' elite or hybrid wheat. Prediction abilities were highest using a marker model and performing random cross-validation, predicting the performance of untested SHW (0.483 for SB to 0.730 for TS). When testing parents not necessarily used in SHW, combination prediction abilities were slightly lower (0.378 for SB to 0.718 for TS), yet still promising. Despite the limited phenotypic data, our results provide a general example for predictive models targeting an allopolyploidization event and a method that can guide the use of genetic resources available in gene banks.
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Affiliation(s)
| | | | - Jaime Cuevas
- Universidad Autónoma del Estado de Quintana Roo, Chetumal, México
| | | | | | - Julio Huerta
- International Maize and Wheat Improvement Center (CIMMYT), Texcoco, México
| | - Pawan Singh
- International Maize and Wheat Improvement Center (CIMMYT), Texcoco, México
| | | | - Alison R Bentley
- Australian National University, Research School of Biology, Canberra, Australia
| | - Jose Crossa
- International Maize and Wheat Improvement Center (CIMMYT), Texcoco, México
- Colegio de Postgraduados, Campus Montecillos, Texcoco, México
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16
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Wang M, Cheng J, Wu J, Chen J, Liu D, Wang C, Ma S, Guo W, Li G, Di D, Zhang Y, Han D, Kronzucker HJ, Xia G, Shi W. Variation in TaSPL6-D confers salinity tolerance in bread wheat by activating TaHKT1;5-D while preserving yield-related traits. Nat Genet 2024; 56:1257-1269. [PMID: 38802564 DOI: 10.1038/s41588-024-01762-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2023] [Accepted: 04/19/2024] [Indexed: 05/29/2024]
Abstract
Na+ exclusion from above-ground tissues via the Na+-selective transporter HKT1;5 is a major salt-tolerance mechanism in crops. Using the expression genome-wide association study and yeast-one-hybrid screening, we identified TaSPL6-D, a transcriptional suppressor of TaHKT1;5-D in bread wheat. SPL6 also targeted HKT1;5 in rice and Brachypodium. A 47-bp insertion in the first exon of TaSPL6-D resulted in a truncated peptide, TaSPL6-DIn, disrupting TaHKT1;5-D repression exhibited by TaSPL6-DDel. Overexpressing TaSPL6-DDel, but not TaSPL6-DIn, led to inhibited TaHKT1;5-D expression and increased salt sensitivity. Knockout of TaSPL6-DDel in two wheat genotypes enhanced salinity tolerance, which was attenuated by a further TaHKT1;5-D knockdown. Spike development was preserved in Taspl6-dd mutants but not in Taspl6-aabbdd mutants. TaSPL6-DIn was mainly present in landraces, and molecular-assisted introduction of TaSPL6-DIn from a landrace into a leading wheat cultivar successfully improved yield on saline soils. The SPL6-HKT1;5 module offers a target for the molecular breeding of salt-tolerant crops.
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Affiliation(s)
- Meng Wang
- State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing, P. R. China.
- University of Chinese Academy of Sciences, Beijing, P. R. China.
| | - Jie Cheng
- State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing, P. R. China
- State Key Laboratory of Crop Stress Resistance and High-Efficiency Production, College of Agronomy, Northwest A&F University, Yangling, P. R. China
| | - Jianhui Wu
- State Key Laboratory of Crop Stress Resistance and High-Efficiency Production, College of Agronomy, Northwest A&F University, Yangling, P. R. China
| | - Jiefei Chen
- State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing, P. R. China
- University of Chinese Academy of Sciences, Beijing, P. R. China
| | - Dan Liu
- State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing, P. R. China
- State Key Laboratory of Crop Stress Resistance and High-Efficiency Production, College of Agronomy, Northwest A&F University, Yangling, P. R. China
| | - Chenyang Wang
- State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing, P. R. China
- State Key Laboratory of Crop Stress Resistance and High-Efficiency Production, College of Agronomy, Northwest A&F University, Yangling, P. R. China
| | - Shengwei Ma
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, P. R. China
- Hainan Yazhou Bay Seed Laboratory, Sanya, P. R. China
| | - Weiwei Guo
- Shandong Engineering Research Center of Germplasm Innovation and Utilization of Salt-Tolerant Crops, College of Agronomy, Qingdao Agricultural University, Qingdao, P. R. China
| | - Guangjie Li
- State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing, P. R. China
| | - Dongwei Di
- State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing, P. R. China
| | - Yumei Zhang
- Shandong Engineering Research Center of Germplasm Innovation and Utilization of Salt-Tolerant Crops, College of Agronomy, Qingdao Agricultural University, Qingdao, P. R. China
| | - Dejun Han
- State Key Laboratory of Crop Stress Resistance and High-Efficiency Production, College of Agronomy, Northwest A&F University, Yangling, P. R. China
| | - Herbert J Kronzucker
- School of BioSciences, Faculty of Science, The University of Melbourne, Parkville, Victoria, Australia
| | - Guangmin Xia
- The Key Laboratory of Plant Development and Environment Adaptation Biology, Ministry of Education, School of Life Science, Shandong University, Qingdao, P. R. China
| | - Weiming Shi
- State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing, P. R. China
- University of Chinese Academy of Sciences, Beijing, P. R. China
- International Research Centre for Environmental Membrane Biology, Foshan University, Foshan, P. R. China
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17
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Jin Y, Yu Z, Su F, Fang T, Liu S, Xu H, Wang J, Xiao B, Han G, Li H, Ma P. Evaluation and Identification of Powdery Mildew Resistance Genes in Aegilops tauschii and Emmer Wheat Accessions. PLANT DISEASE 2024; 108:1670-1681. [PMID: 38173259 DOI: 10.1094/pdis-08-23-1667-re] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/05/2024]
Abstract
Powdery mildew, caused by Blumeria graminis f. sp. tritici (Bgt), is a serious threat to wheat (Triticum aestivum L.) production. Narrow genetic basis of common wheat boosted the demand for diversified donors against powdery mildew. Aegilops tauschii Coss (2n = 2x = DD) and emmer wheat (2n = 4x = AABB), as the ancestor species of common wheat, are important gene donors for genetic improvement of common wheat. In this study, a total of 71 Ae. tauschii and 161 emmer wheat accessions were first evaluated for their powdery mildew resistance using the Bgt isolate E09. Thirty-three Ae. tauschii (46.5%) and 108 emmer wheat accessions (67.1%) were resistant. Then, all these accessions were tested by the diagnostic markers for 21 known Pm genes. The results showed that Pm2 alleles were detected in all the 71 Ae. tauschii and only Pm4 alleles were detected in 20 of 161 emmer wheat accessions. After haplotype analysis, we identified four Pm4 alleles (Pm4a, Pm4b, Pm4d, and Pm4f) in the emmer wheat accessions and three Pm2 alleles (Pm2d, Pm2e, and Pm2g) in the Ae. tauschii. Further resistance spectrum analysis indicated that these resistance accessions displayed different resistance reactions to different Bgt isolates, implying they may have other Pm genes apart from Pm2 and/or Pm4 alleles. Notably, a new Pm2 allele, Pm2S, was identified in Ae. tauschii, which contained a 64-bp deletion in the first exon and formed a new termination site at the 513th triplet of the shifted reading frame compared with reported Pm2 alleles. The phylogenetic tree of Pm2S showed that the kinship of Pm2S was close to Pm2h. To efficiently and accurately detect Pm2S and distinguish with other Pm2 alleles in Ae. tauschii background, a diagnostic marker, YTU-QS-3, was developed, and its effectiveness was verified. This study provided valuable Pm alleles and enriched the genetic diversity of the powdery mildew resistance in wheat improvement.
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Affiliation(s)
- Yuli Jin
- Yantai Key Laboratory of Characteristic Agricultural Bioresource Conservation and Germplasm Innovative Utilization, College of Life Sciences, Yantai University, Yantai 264005, China
| | - Ziyang Yu
- Yantai Key Laboratory of Characteristic Agricultural Bioresource Conservation and Germplasm Innovative Utilization, College of Life Sciences, Yantai University, Yantai 264005, China
| | - Fuyu Su
- Yantai Key Laboratory of Characteristic Agricultural Bioresource Conservation and Germplasm Innovative Utilization, College of Life Sciences, Yantai University, Yantai 264005, China
| | - Tianying Fang
- Yantai Key Laboratory of Characteristic Agricultural Bioresource Conservation and Germplasm Innovative Utilization, College of Life Sciences, Yantai University, Yantai 264005, China
| | - Shuang Liu
- Yantai Key Laboratory of Characteristic Agricultural Bioresource Conservation and Germplasm Innovative Utilization, College of Life Sciences, Yantai University, Yantai 264005, China
| | - Hongxing Xu
- School of Life Sciences, Henan University, Kaifeng, Henan 475004, China
| | - Jiaojiao Wang
- Yantai Key Laboratory of Characteristic Agricultural Bioresource Conservation and Germplasm Innovative Utilization, College of Life Sciences, Yantai University, Yantai 264005, China
| | - Bei Xiao
- Yantai Key Laboratory of Characteristic Agricultural Bioresource Conservation and Germplasm Innovative Utilization, College of Life Sciences, Yantai University, Yantai 264005, China
| | - Guohao Han
- Center for Agricultural Resources Research, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Shijiazhuang 050021, China
| | - Hongjie Li
- The National Engineering Laboratory of Crop Molecular Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Pengtao Ma
- Yantai Key Laboratory of Characteristic Agricultural Bioresource Conservation and Germplasm Innovative Utilization, College of Life Sciences, Yantai University, Yantai 264005, China
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18
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Sallam A, Dawood MFA, Jarquín D, Mohamed EA, Hussein MY, Börner A, Ahmed AAM. Genome-wide scanning to identify and validate single nucleotide polymorphism markers associated with drought tolerance in spring wheat seedlings. THE PLANT GENOME 2024; 17:e20444. [PMID: 38476036 DOI: 10.1002/tpg2.20444] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/09/2023] [Revised: 02/12/2024] [Accepted: 02/15/2024] [Indexed: 03/14/2024]
Abstract
Unlike other growth stages of wheat, very few studies on drought tolerance have been done at the seedling stage, and this is due to the complexity and sensitivity of this stage to drought stress resulting from climate change. As a result, the drought tolerance of wheat seedlings is poorly understood and very few genes associated with drought tolerance at this stage were identified. To address this challenge, a set of 172 spring wheat genotypes representing 20 different countries was evaluated under drought stress at the seedling stage. Drought stress was applied on all tested genotypes by water withholding for 13 days. Two types of traits, namely morphological and physiological traits were scored on the leaves of all tested genotypes. Genome-wide association study (GWAS) is one of the effective genetic analysis methods that was used to identify target single nucleotide polymorphism (SNP) markers and candidate genes for later use in marker-assisted selection. The tested plant materials were genotyped using 25k Infinium iSelect array (25K) (herein after it will be identified as 25K) (for 172 genotypes) and genotyping-by-sequencing (GBS) (for 103 genotypes), respectively. The results of genotyping revealed 21,093 25K and 11,362 GBS-SNPs, which were used to perform GWAS analysis for all scored traits. The results of GWAS revealed that 131 and 55 significant SNPs were controlling morphological and physiological traits, respectively. Moreover, a total of eight and seven SNP markers were found to be associated with more than one morphological and physiological trait under drought stress, respectively. Remarkably, 10 significant SNPs found in this study were previously reported for their association with drought tolerance in wheat. Out of the 10 validated SNP markers, four SNPs were associated with drought at the seedling stage, while the remaining six SNPs were associated with drought stress at the reproductive stage. Moreover, the results of gene enrichment revealed 18 and six pathways as highly significant biological and molecular pathways, respectively. The selection based on drought-tolerant alleles revealed 15 genotypes with the highest number of different drought-tolerant alleles. These genotypes can be used as candidate parents in future breeding programs to produce highly drought-tolerant genotypes with high genetic diversity. Our findings in this study provide novel markers and useful information on the genetic basis of drought tolerance at early growth stages.
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Affiliation(s)
- Ahmed Sallam
- Genebank Department, Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Stadt Seeland, Germany
- Department of Genetics, Faculty of Agriculture, Assiut University, Assiut, 71526, Egypt
| | - Mona F A Dawood
- Department of Botany and Microbiology, Faculty of Science, Assiut University, Assiut, Egypt
| | - Diego Jarquín
- Department of Agronomy, University of Florida, Gainesville, Florida, USA
| | - Elsayed A Mohamed
- Department of Genetics, Faculty of Agriculture, Assiut University, Assiut, 71526, Egypt
| | - Mohamed Y Hussein
- Department of Genetics, Faculty of Agriculture, Assiut University, Assiut, 71526, Egypt
| | - Andreas Börner
- Genebank Department, Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Stadt Seeland, Germany
| | - Asmaa A M Ahmed
- Department of Genetics, Faculty of Agriculture, Assiut University, Assiut, 71526, Egypt
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19
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Peters Haugrud AR, Achilli AL, Martínez-Peña R, Klymiuk V. Future of durum wheat research and breeding: Insights from early career researchers. THE PLANT GENOME 2024:e20453. [PMID: 38760906 DOI: 10.1002/tpg2.20453] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/14/2023] [Revised: 03/26/2024] [Accepted: 04/02/2024] [Indexed: 05/20/2024]
Abstract
Durum wheat (Triticum turgidum ssp. durum) is globally cultivated for pasta, couscous, and bulgur production. With the changing climate and growing world population, the need to significantly increase durum production to meet the anticipated demand is paramount. This review summarizes recent advancements in durum research, encompassing the exploitation of existing and novel genetic diversity, exploration of potential new diversity sources, breeding for climate-resilient varieties, enhancements in production and management practices, and the utilization of modern technologies in breeding and cultivar development. In comparison to bread wheat (T. aestivum), the durum wheat community and production area are considerably smaller, often comprising many small-family farmers, notably in African and Asian countries. Public breeding programs such as the International Maize and Wheat Improvement Center (CIMMYT) and the International Center for Agricultural Research in the Dry Areas (ICARDA) play a pivotal role in providing new and adapted cultivars for these small-scale growers. We spotlight the contributions of these and others in this review. Additionally, we offer our recommendations on key areas for the durum research community to explore in addressing the challenges posed by climate change while striving to enhance durum production and sustainability. As part of the Wheat Initiative, the Expert Working Group on Durum Wheat Genomics and Breeding recognizes the significance of collaborative efforts in advancing toward a shared objective. We hope the insights presented in this review stimulate future research and deliberations on the trajectory for durum wheat genomics and breeding.
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Affiliation(s)
- Amanda R Peters Haugrud
- Cereal Crops Research Unit, Edward T. Schafer Agricultural Research Center, Agricultural Research Service, United States Department of Agriculture, Fargo, North Dakota, USA
| | - Ana Laura Achilli
- Faculty of Land and Food Systems, The University of British Columbia, Vancouver, British Columbia, Canada
| | - Raquel Martínez-Peña
- Regional Institute of Agri-Food and Forestry Research and Development of Castilla-La Mancha (IRIAF), Agroenvironmental Research Center El Chaparrillo, Ciudad Real, Spain
| | - Valentyna Klymiuk
- Crop Development Centre and Department of Plant Sciences, University of Saskatchewan, Saskatoon, Saskatchewan, Canada
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Mascher M, Marone MP, Schreiber M, Stein N. Are cereal grasses a single genetic system? NATURE PLANTS 2024; 10:719-731. [PMID: 38605239 DOI: 10.1038/s41477-024-01674-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/27/2023] [Accepted: 03/17/2024] [Indexed: 04/13/2024]
Abstract
In 1993, a passionate and provocative call to arms urged cereal researchers to consider the taxon they study as a single genetic system and collaborate with each other. Since then, that group of scientists has seen their discipline blossom. In an attempt to understand what unity of genetic systems means and how the notion was borne out by later research, we survey the progress and prospects of cereal genomics: sequence assemblies, population-scale sequencing, resistance gene cloning and domestication genetics. Gene order may not be as extraordinarily well conserved in the grasses as once thought. Still, several recurring themes have emerged. The same ancestral molecular pathways defining plant architecture have been co-opted in the evolution of different cereal crops. Such genetic convergence as much as cross-fertilization of ideas between cereal geneticists has led to a rich harvest of genes that, it is hoped, will lead to improved varieties.
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Affiliation(s)
- Martin Mascher
- Leibniz Institute of Plant Genetics and Crop Plant Research, Gatersleben, Germany.
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany.
| | - Marina Püpke Marone
- Leibniz Institute of Plant Genetics and Crop Plant Research, Gatersleben, Germany
| | - Mona Schreiber
- University of Marburg, Department of Biology, Marburg, Germany
| | - Nils Stein
- Leibniz Institute of Plant Genetics and Crop Plant Research, Gatersleben, Germany.
- Martin Luther University Halle-Wittenberg, Halle (Saale), Germany.
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21
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Shi T, Wang Y, Li Y, Sui X, Dong CH. Generation of selenium-rich wheat mutants and exploration of responsive genes for selenium accumulation. PLANT CELL REPORTS 2024; 43:132. [PMID: 38687389 DOI: 10.1007/s00299-024-03219-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/18/2024] [Accepted: 04/12/2024] [Indexed: 05/02/2024]
Abstract
KEY MESSAGE Salt tolerance, selenium accumulation and expression of the responsive genes were analyzed in the wheat high selenium mutants. Selenium is an essential trace element for the human body, and its deficiency can lead to various diseases such as Keshan disease and large bone disease. Wheat, being a major staple crop, plays a crucial role in providing dietary selenium supplementation to combat this deficiency. Despite progress in understanding the molecular regulation of selenium accumulation in certain crops, the molecular mechanisms governing selenium accumulation-related gene expression in wheat plants remain poorly understood. In this study, three mutant wheat lines with elevated selenium content were identified. Under the treatment of Na2SeO3 or NaCl, the selenium-rich wheat mutants exhibited decreased sensitivity to both selenium and NaCl compared to the wild type. Additionally, there was an increase in the activities of SOD and POD, while the content of MDA decreased. Through qRT-PCR analysis, the expression of selenium-related genes was affected, revealing that some of these genes not only regulate the response of wheat to salt stress, but also play a role in the process of selenium accumulation. The transcriptome results revealed that the important genes encoding glutathione S-transferases, peroxidases, superoxide dismutases, and UDP-glucosyltransferases may function in the regulation of salt tolerance and selenium accumulation in wheat. These findings significantly contribute to the current understanding of the molecular regulation of selenium accumulation in wheat crops, while also offering novel germplasm resources for cultivating selenium-rich and salt-tolerant wheat lines.
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Affiliation(s)
- Tengteng Shi
- College of Life Sciences, Qingdao Agricultural University, Qingdao, 266109, China
| | - Yanrong Wang
- College of Life Sciences, Qingdao Agricultural University, Qingdao, 266109, China
| | - Yuetong Li
- College of Life Sciences, Qingdao Agricultural University, Qingdao, 266109, China
| | - Xinying Sui
- College of Life Sciences, Qingdao Agricultural University, Qingdao, 266109, China
| | - Chun-Hai Dong
- College of Life Sciences, Qingdao Agricultural University, Qingdao, 266109, China.
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22
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Wang H, Zhao S, Qi Z, Yang C, Ding D, Xiao B, Wang S, Yang C. Regulation of Root Exudation in Wheat Plants in Response to Alkali Stress. PLANTS (BASEL, SWITZERLAND) 2024; 13:1227. [PMID: 38732442 PMCID: PMC11085862 DOI: 10.3390/plants13091227] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/28/2024] [Revised: 04/19/2024] [Accepted: 04/24/2024] [Indexed: 05/13/2024]
Abstract
Soil alkalization is an important environmental factor limiting crop production. Despite the importance of root secretion in the response of plants to alkali stress, the regulatory mechanism is unclear. In this study, we applied a widely targeted metabolomics approach using a local MS/MS data library constructed with authentic standards to identify and quantify root exudates of wheat under salt and alkali stresses. The regulatory mechanism of root secretion in alkali-stressed wheat plants was analyzed by determining transcriptional and metabolic responses. Our primary focus was alkali stress-induced secreted metabolites (AISMs) that showed a higher secretion rate in alkali-stressed plants than in control and salt-stressed plants. This secretion was mainly induced by high-pH stress. We discovered 55 AISMs containing -COOH groups, including 23 fatty acids, 4 amino acids, 1 amino acid derivative, 7 dipeptides, 5 organic acids, 9 phenolic acids, and 6 others. In the roots, we also discovered 29 metabolites with higher levels under alkali stress than under control and salt stress conditions, including 2 fatty acids, 3 amino acid derivatives, 1 dipeptide, 2 organic acids, and 11 phenolic acids. These alkali stress-induced accumulated carboxylic acids may support continuous root secretion during the response of wheat plants to alkali stress. In the roots, RNAseq analysis indicated that 5 6-phosphofructokinase (glycolysis rate-limiting enzyme) genes, 16 key fatty acid synthesis genes, and 122 phenolic acid synthesis genes have higher expression levels under alkali stress than under control and salt stress conditions. We propose that the secretion of multiple types of metabolites with a -COOH group is an important pH regulation strategy for alkali-stressed wheat plants. Enhanced glycolysis, fatty acid synthesis, and phenolic acid synthesis will provide more energy and substrates for root secretion during the response of wheat to alkali stress.
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Affiliation(s)
- Huan Wang
- Department of Agronomy, Jilin Agricultural University, Changchun 130118, China
| | - Shuting Zhao
- Department of Agronomy, Jilin Agricultural University, Changchun 130118, China
| | - Zexin Qi
- Department of Agronomy, Jilin Agricultural University, Changchun 130118, China
| | - Changgang Yang
- Wheat Research Institute, Gansu Academy of Agricultural Sciences, Lanzhou 730070, China
| | - Dan Ding
- Department of Agronomy, Jilin Agricultural University, Changchun 130118, China
| | - Binbin Xiao
- Key Laboratory of Molecular Epigenetics of Ministry of Education, Northeast Normal University, Changchun 130024, China
| | - Shihong Wang
- Wheat Research Institute, Gansu Academy of Agricultural Sciences, Lanzhou 730070, China
| | - Chunwu Yang
- Key Laboratory of Molecular Epigenetics of Ministry of Education, Northeast Normal University, Changchun 130024, China
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Awan MJA, Farooq MA, Naqvi RZ, Karamat U, Bukhari SAR, Waqas MAB, Mahmood MA, Buzdar MI, Rasheed A, Amin I, Saeed NA, Mansoor S. Deciphering the differential expression patterns of yield-related negative regulators in hexaploid wheat cultivars and hybrids at different growth stages. Mol Biol Rep 2024; 51:537. [PMID: 38642174 DOI: 10.1007/s11033-024-09454-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2023] [Accepted: 03/18/2024] [Indexed: 04/22/2024]
Abstract
BACKGROUND Hexaploid bread wheat underwent a series of polyploidization events through interspecific hybridizations that conferred adaptive plasticity and resulted in duplication and neofunctionalization of major agronomic genes. The genetic architecture of polyploid wheat not only confers adaptive plasticity but also offers huge genetic diversity. However, the contribution of different gene copies (homeologs) encoded from different subgenomes (A, B, D) at different growth stages remained unexplored. METHODS In this study, hybrid of elite cultivars of wheat were developed via reciprocal crosses (cytoplasm swapping) and phenotypically evaluated. We assessed differential expression profiles of yield-related negative regulators in these cultivars and their F1 hybrids and identified various cis-regulatory signatures by employing bioinformatics tools. Furthermore, the preferential expression patterns of the syntenic triads encoded from A, B, and D subgenomes were assessed to decipher their functional redundancy at six different growth stages. RESULTS Hybrid progenies showed better heterosis such as up to 17% increase in the average number of grains and up to 50% increase in average thousand grains weight as compared to mid-parents. Based on the expression profiling, our results indicated significant dynamic transcriptional expression patterns, portraying the different homeolog-dominance at the same stage in the different cultivars and their hybrids. Albeit belonging to same syntenic triads, a dynamic trend was observed in the regulatory signatures of these genes that might be influencing their expression profiles. CONCLUSION These findings can substantially contribute and provide insights for the selective introduction of better cultivars into traditional and hybrid breeding programs which can be harnessed for the improvement of future wheat.
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Affiliation(s)
- Muhammad Jawad Akbar Awan
- Agricultural Biotechnology Division, National Institute for Biotechnology and Genetic Engineering (NIBGE), Constituent College of Pakistan Institute of Engineering and Applied Sciences, Jhang Road, Faisalabad, Pakistan
| | - Muhammad Awais Farooq
- Agricultural Biotechnology Division, National Institute for Biotechnology and Genetic Engineering (NIBGE), Constituent College of Pakistan Institute of Engineering and Applied Sciences, Jhang Road, Faisalabad, Pakistan
- State Key Laboratory of North China Crop Improvement and Regulation, Key Laboratory of Vegetable Germplasm Innovation and Utilization of Hebei, Collaborative Innovation Center of Vegetable Industry in Hebei, College of Horticulture, Hebei Agricultural University, Baoding, China
| | - Rubab Zahra Naqvi
- Agricultural Biotechnology Division, National Institute for Biotechnology and Genetic Engineering (NIBGE), Constituent College of Pakistan Institute of Engineering and Applied Sciences, Jhang Road, Faisalabad, Pakistan
| | - Umer Karamat
- State Key Laboratory of North China Crop Improvement and Regulation, Key Laboratory of Vegetable Germplasm Innovation and Utilization of Hebei, Collaborative Innovation Center of Vegetable Industry in Hebei, College of Horticulture, Hebei Agricultural University, Baoding, China
- Guangdong Key Laboratory for New Technology Research of Vegetables, Vegetable Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou, China
| | - Sayyad Ali Raza Bukhari
- School of Natural Sciences, University of Tasmania, Hobart, TAS, Australia
- Department of Biotechnology, University of Sargodha, Sargodha, Pakistan
| | - Muhammad Abu Bakar Waqas
- Agricultural Biotechnology Division, National Institute for Biotechnology and Genetic Engineering (NIBGE), Constituent College of Pakistan Institute of Engineering and Applied Sciences, Jhang Road, Faisalabad, Pakistan
| | - Muhammad Arslan Mahmood
- Agricultural Biotechnology Division, National Institute for Biotechnology and Genetic Engineering (NIBGE), Constituent College of Pakistan Institute of Engineering and Applied Sciences, Jhang Road, Faisalabad, Pakistan
| | - Muhammad Ismail Buzdar
- Agricultural Biotechnology Division, National Institute for Biotechnology and Genetic Engineering (NIBGE), Constituent College of Pakistan Institute of Engineering and Applied Sciences, Jhang Road, Faisalabad, Pakistan
| | - Awais Rasheed
- Department of Plant Sciences, Quaid-i-Azam University, Islamabad, 45320, Pakistan
- Institute of Crop Science, Chinese Academy of Agricultural Sciences (CAAS) & CIMMYT-China office, 12 Zhongguancun South Street, Beijing, 100081, China
| | - Imran Amin
- Agricultural Biotechnology Division, National Institute for Biotechnology and Genetic Engineering (NIBGE), Constituent College of Pakistan Institute of Engineering and Applied Sciences, Jhang Road, Faisalabad, Pakistan
| | - Nasir A Saeed
- Agricultural Biotechnology Division, National Institute for Biotechnology and Genetic Engineering (NIBGE), Constituent College of Pakistan Institute of Engineering and Applied Sciences, Jhang Road, Faisalabad, Pakistan
| | - Shahid Mansoor
- Agricultural Biotechnology Division, National Institute for Biotechnology and Genetic Engineering (NIBGE), Constituent College of Pakistan Institute of Engineering and Applied Sciences, Jhang Road, Faisalabad, Pakistan.
- International Center for Chemical and Biological Sciences, University of Karachi, Karachi, Pakistan.
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24
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Shan Y, Osborne CP. Diversification of quantitative morphological traits in wheat. ANNALS OF BOTANY 2024; 133:413-426. [PMID: 38195097 PMCID: PMC11006538 DOI: 10.1093/aob/mcad202] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/27/2023] [Accepted: 01/08/2024] [Indexed: 01/11/2024]
Abstract
BACKGROUND AND AIMS The development and morphology of crop plants have been profoundly altered by evolution under cultivation, initially through unconscious selection, without deliberate foresight, and later by directed breeding. Wild wheats remain an important potential source of variation for modern breeders; however, the sequence and timing of morphological changes during domestication are not fully resolved. METHODS We grew and measured 142 wheat accessions representing different stages in wheat evolution, including three independent domestication events, and compared their morphological traits to define the morphospace of each group. KEY RESULTS The results show that wild and domesticated wheats have overlapping morphospaces, but each also occupies a distinct area of morphospace from one another. Polyploid formation in wheat increased leaf biomass and seed weight but had its largest effects on tiller loss. Domestication continued to increase the sizes of wheat leaves and seeds and made wheat grow taller, with more erect architecture. Associated changes to the biomass of domesticated wheats generated more grains and achieved higher yields. Landrace improvement subsequently decreased the numbers of tillers and spikes, to focus resource allocation to the main stem, accompanied by a thicker main stem and larger flag leaves. During the Green Revolution, wheat height was reduced to increase the harvest index and therefore yield. Modern wheats also have more erect leaves and larger flower biomass proportions than landraces. CONCLUSIONS Quantitative trait history in wheat differs by trait. Some trait values show progressive changes in the same direction (e.g. leaf size, grain weight), whereas others change in a punctuated way at particular stages (e.g. canopy architecture), and other trait values switch directions during wheat evolution (e.g. plant height, flower biomass proportion). Agronomically valued domestication traits arose during different stages of wheat history, such that modern wheats are the product of >10 000 years of morphological evolution.
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Affiliation(s)
- Yixiang Shan
- Plants, Photosynthesis and Soil, School of Biosciences, University of Sheffield, Sheffield S10 2TN, UK
| | - Colin P Osborne
- Plants, Photosynthesis and Soil, School of Biosciences, University of Sheffield, Sheffield S10 2TN, UK
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25
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Wang L, Zhang K, Wang Z, Yang J, Kang G, Liu Y, You L, Wang X, Jin H, Wang D, Guo T. Appropriate reduction of importin-α gene expression enhances yellow dwarf disease resistance in common wheat. PLANT BIOTECHNOLOGY JOURNAL 2024; 22:572-586. [PMID: 37855813 PMCID: PMC10893941 DOI: 10.1111/pbi.14204] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/04/2023] [Revised: 09/21/2023] [Accepted: 10/03/2023] [Indexed: 10/20/2023]
Abstract
Barley yellow dwarf viruses (BYDVs) cause widespread damage to global cereal crops. Here we report a novel strategy for elevating resistance to BYDV infection. The 17K protein, a potent virulence factor conserved in BYDVs, interacted with barley IMP-α1 and -α2 proteins that are nuclear transport receptors. Consistently, a nuclear localization signal was predicted in 17K, which was found essential for 17K to be transported into the nucleus and to interact with IMP-α1 and -α2. Reducing HvIMP-α1 and -α2 expression by gene silencing attenuated BYDV-elicited dwarfism, accompanied by a lowered nuclear accumulation of 17K. Among the eight common wheat CRISPR mutants with two to four TaIMP-α1 and -α2 genes mutated, the triple mutant α1aaBBDD /α2AAbbdd and the tetra-mutant α1aabbdd /α2AAbbDD displayed strong BYDV resistance without negative effects on plant growth under field conditions. The BYDV resistance exhibited by α1aaBBDD /α2AAbbdd and α1aabbdd /α2AAbbDD was correlated with decreased nuclear accumulation of 17K and lowered viral proliferation in infected plants. Our work uncovers the function of host IMP-α proteins in BYDV pathogenesis and generates the germplasm valuable for breeding BYDV-resistant wheat. Appropriate reduction of IMP-α gene expression may be broadly useful for enhancing antiviral resistance in agricultural crops and other economically important organisms.
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Affiliation(s)
- Lina Wang
- National Wheat Engineering Research Center, College of AgronomyHenan Agricultural UniversityZhengzhouHenanChina
- State Key Laboratory of Wheat and Maize Crop Science, Center for Crop Genome Engineering, College of AgronomyHenan Agricultural UniversityZhengzhouHenanChina
| | - Kunpu Zhang
- National Wheat Engineering Research Center, College of AgronomyHenan Agricultural UniversityZhengzhouHenanChina
- State Key Laboratory of Wheat and Maize Crop Science, Center for Crop Genome Engineering, College of AgronomyHenan Agricultural UniversityZhengzhouHenanChina
- The Shennong LaboratoryZhengzhouHenanChina
| | - Zhaohui Wang
- National Wheat Engineering Research Center, College of AgronomyHenan Agricultural UniversityZhengzhouHenanChina
- State Key Laboratory of Wheat and Maize Crop Science, Center for Crop Genome Engineering, College of AgronomyHenan Agricultural UniversityZhengzhouHenanChina
| | - Jin Yang
- National Wheat Engineering Research Center, College of AgronomyHenan Agricultural UniversityZhengzhouHenanChina
- State Key Laboratory of Wheat and Maize Crop Science, Center for Crop Genome Engineering, College of AgronomyHenan Agricultural UniversityZhengzhouHenanChina
| | - Guozhang Kang
- National Wheat Engineering Research Center, College of AgronomyHenan Agricultural UniversityZhengzhouHenanChina
- State Key Laboratory of Wheat and Maize Crop Science, Center for Crop Genome Engineering, College of AgronomyHenan Agricultural UniversityZhengzhouHenanChina
| | - Yan Liu
- State Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant ProtectionChinese Academy of Agricultural SciencesBeijingChina
| | - Liyuan You
- National Wheat Engineering Research Center, College of AgronomyHenan Agricultural UniversityZhengzhouHenanChina
- State Key Laboratory of Wheat and Maize Crop Science, Center for Crop Genome Engineering, College of AgronomyHenan Agricultural UniversityZhengzhouHenanChina
- The Shennong LaboratoryZhengzhouHenanChina
| | - Xifeng Wang
- State Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant ProtectionChinese Academy of Agricultural SciencesBeijingChina
| | - Huaibing Jin
- National Wheat Engineering Research Center, College of AgronomyHenan Agricultural UniversityZhengzhouHenanChina
- State Key Laboratory of Wheat and Maize Crop Science, Center for Crop Genome Engineering, College of AgronomyHenan Agricultural UniversityZhengzhouHenanChina
- State Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant ProtectionChinese Academy of Agricultural SciencesBeijingChina
| | - Daowen Wang
- National Wheat Engineering Research Center, College of AgronomyHenan Agricultural UniversityZhengzhouHenanChina
- State Key Laboratory of Wheat and Maize Crop Science, Center for Crop Genome Engineering, College of AgronomyHenan Agricultural UniversityZhengzhouHenanChina
- The Shennong LaboratoryZhengzhouHenanChina
| | - Tiancai Guo
- National Wheat Engineering Research Center, College of AgronomyHenan Agricultural UniversityZhengzhouHenanChina
- State Key Laboratory of Wheat and Maize Crop Science, Center for Crop Genome Engineering, College of AgronomyHenan Agricultural UniversityZhengzhouHenanChina
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26
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Bhoite R, Han Y, Chaitanya AK, Varshney RK, Sharma DL. Genomic approaches to enhance adaptive plasticity to cope with soil constraints amidst climate change in wheat. THE PLANT GENOME 2024; 17:e20358. [PMID: 37265088 DOI: 10.1002/tpg2.20358] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/13/2022] [Revised: 03/09/2023] [Accepted: 05/09/2023] [Indexed: 06/03/2023]
Abstract
Climate change is varying the availability of resources, soil physicochemical properties, and rainfall events, which collectively determines soil physical and chemical properties. Soil constraints-acidity (pH < 6), salinity (pH ≤ 8.5), sodicity, and dispersion (pH > 8.5)-are major causes of wheat yield loss in arid and semiarid cropping systems. To cope with changing environments, plants employ adaptive strategies such as phenotypic plasticity, a key multifaceted trait, to promote shifts in phenotypes. Adaptive strategies for constrained soils are complex, determined by key functional traits and genotype × environment × management interactions. The understanding of the molecular basis of stress tolerance is particularly challenging for plasticity traits. Advances in sequencing and high-throughput genomics technologies have identified functional alleles in gene-rich regions, haplotypes, candidate genes, mechanisms, and in silico gene expression profiles at various growth developmental stages. Our review focuses on favorable alleles for enhanced gene expression, quantitative trait loci, and epigenetic regulation of plant responses to soil constraints, including heavy metal stress and nutrient limitations. A strategy is then described for quantitative traits in wheat by investigating significant alleles and functional characterization of variants, followed by gene validation using advanced genomic tools, and marker development for molecular breeding and genome editing. Moreover, the review highlights the progress of gene editing in wheat, multiplex gene editing, and novel alleles for smart control of gene expression. Application of these advanced genomic technologies to enhance plasticity traits along with soil management practices will be an effective tool to build yield, stability, and sustainability on constrained soils in the face of climate change.
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Affiliation(s)
- Roopali Bhoite
- Department of Primary Industries and Regional Development, South Perth, Western Australia, Australia
- The UWA Institute of Agriculture, The University of Western Australia, Perth, Western Australia, Australia
| | - Yong Han
- Department of Primary Industries and Regional Development, South Perth, Western Australia, Australia
- Centre for Crop & Food Innovation, State Agricultural Biotechnology Centre, Murdoch University, Perth, Western Australia, Australia
| | - Alamuru Krishna Chaitanya
- Grains Genetics Portfolio, University of Southern Queensland, Centre for Crop Health, Toowoomba, Queensland, Australia
| | - Rajeev K Varshney
- Centre for Crop & Food Innovation, State Agricultural Biotechnology Centre, Murdoch University, Perth, Western Australia, Australia
| | - Darshan Lal Sharma
- Department of Primary Industries and Regional Development, South Perth, Western Australia, Australia
- Centre for Crop & Food Innovation, State Agricultural Biotechnology Centre, Murdoch University, Perth, Western Australia, Australia
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27
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Chen Y, Wang W, Yang Z, Peng H, Ni Z, Sun Q, Guo W. Innovative computational tools provide new insights into the polyploid wheat genome. ABIOTECH 2024; 5:52-70. [PMID: 38576428 PMCID: PMC10987449 DOI: 10.1007/s42994-023-00131-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/13/2023] [Accepted: 12/14/2023] [Indexed: 04/06/2024]
Abstract
Bread wheat (Triticum aestivum) is an important crop and serves as a significant source of protein and calories for humans, worldwide. Nevertheless, its large and allopolyploid genome poses constraints on genetic improvement. The complex reticulate evolutionary history and the intricacy of genomic resources make the deciphering of the functional genome considerably more challenging. Recently, we have developed a comprehensive list of versatile computational tools with the integration of statistical models for dissecting the polyploid wheat genome. Here, we summarize the methodological innovations and applications of these tools and databases. A series of step-by-step examples illustrates how these tools can be utilized for dissecting wheat germplasm resources and unveiling functional genes associated with important agronomic traits. Furthermore, we outline future perspectives on new advanced tools and databases, taking into consideration the unique features of bread wheat, to accelerate genomic-assisted wheat breeding.
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Affiliation(s)
- Yongming Chen
- Frontiers Science Center for Molecular Design Breeding, Key Laboratory of Crop Heterosis and Utilization, Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193 China
| | - Wenxi Wang
- Frontiers Science Center for Molecular Design Breeding, Key Laboratory of Crop Heterosis and Utilization, Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193 China
| | - Zhengzhao Yang
- Frontiers Science Center for Molecular Design Breeding, Key Laboratory of Crop Heterosis and Utilization, Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193 China
| | - Huiru Peng
- Frontiers Science Center for Molecular Design Breeding, Key Laboratory of Crop Heterosis and Utilization, Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193 China
| | - Zhongfu Ni
- Frontiers Science Center for Molecular Design Breeding, Key Laboratory of Crop Heterosis and Utilization, Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193 China
| | - Qixin Sun
- Frontiers Science Center for Molecular Design Breeding, Key Laboratory of Crop Heterosis and Utilization, Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193 China
| | - Weilong Guo
- Frontiers Science Center for Molecular Design Breeding, Key Laboratory of Crop Heterosis and Utilization, Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing, 100193 China
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28
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Afshari-Behbahanizadeh S, Puglisi D, Esposito S, De Vita P. Allelic Variations in Vernalization ( Vrn) Genes in Triticum spp. Genes (Basel) 2024; 15:251. [PMID: 38397240 PMCID: PMC10887697 DOI: 10.3390/genes15020251] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2024] [Revised: 02/12/2024] [Accepted: 02/14/2024] [Indexed: 02/25/2024] Open
Abstract
Rapid climate changes, with higher warming rates during winter and spring seasons, dramatically affect the vernalization requirements, one of the most critical processes for the induction of wheat reproductive growth, with severe consequences on flowering time, grain filling, and grain yield. Specifically, the Vrn genes play a major role in the transition from vegetative to reproductive growth in wheat. Recent advances in wheat genomics have significantly improved the understanding of the molecular mechanisms of Vrn genes (Vrn-1, Vrn-2, Vrn-3, and Vrn-4), unveiling a diverse array of natural allelic variations. In this review, we have examined the current knowledge of Vrn genes from a functional and structural point of view, considering the studies conducted on Vrn alleles at different ploidy levels (diploid, tetraploid, and hexaploid). The molecular characterization of Vrn-1 alleles has been a focal point, revealing a diverse array of allelic forms with implications for flowering time. We have highlighted the structural complexity of the different allelic forms and the problems linked to the different nomenclature of some Vrn alleles. Addressing these issues will be crucial for harmonizing research efforts and enhancing our understanding of Vrn gene function and evolution. The increasing availability of genome and transcriptome sequences, along with the improvements in bioinformatics and computational biology, offers a versatile range of possibilities for enriching genomic regions surrounding the target sites of Vrn genes, paving the way for innovative approaches to manipulate flowering time and improve wheat productivity.
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Affiliation(s)
- Sanaz Afshari-Behbahanizadeh
- Research Centre for Cereal and Industrial Crops (CREA-CI), CREA—Council for Agricultural Research and Economics, SS 673 Meters 25 200, 71122 Foggia, Italy; (S.A.-B.); (D.P.)
- Department of Agriculture, Food, Natural Science, Engineering, University of Foggia, Via Napoli 25, 71122 Foggia, Italy
| | - Damiano Puglisi
- Research Centre for Cereal and Industrial Crops (CREA-CI), CREA—Council for Agricultural Research and Economics, SS 673 Meters 25 200, 71122 Foggia, Italy; (S.A.-B.); (D.P.)
| | - Salvatore Esposito
- Research Centre for Cereal and Industrial Crops (CREA-CI), CREA—Council for Agricultural Research and Economics, SS 673 Meters 25 200, 71122 Foggia, Italy; (S.A.-B.); (D.P.)
- National Research Council of Italy, Institute of Biosciences and BioResources, Research Division Portici (CNR-IBBR), 80055 Portici, Italy
| | - Pasquale De Vita
- Research Centre for Cereal and Industrial Crops (CREA-CI), CREA—Council for Agricultural Research and Economics, SS 673 Meters 25 200, 71122 Foggia, Italy; (S.A.-B.); (D.P.)
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29
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Wei S, Liu L, Chen G, Yang H, Huang L, Gong G, Luo P, Zhang M. Molecular evolution and phylogeographic analysis of wheat dwarf virus. Front Microbiol 2024; 15:1314526. [PMID: 38419641 PMCID: PMC10901289 DOI: 10.3389/fmicb.2024.1314526] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2023] [Accepted: 01/23/2024] [Indexed: 03/02/2024] Open
Abstract
Wheat dwarf virus (WDV) has caused considerable economic loss in the global production of grain crops. Knowledge of the evolutionary biology and population history of the pathogen remain poorly understood. We performed molecular evolution and worldwide phylodynamic analyses of the virus based on the genes in the protein-coding region of the entire viral genome. Our results showed that host-driven and geography-driven adaptation are major factors that affects the evolution of WDV. Bayesian phylogenetic analysis estimates that the average WDV substitution rate was 4.240 × 10-4 substitutions/site/year (95% credibility interval, 2.828 × 10-4-5.723 × 10-4), and the evolutionary rates of genes encoding proteins with virion-sense transcripts and genes encoding proteins with complementary-sense transcripts were different. The positively selected sites were detected in only two genes encoding proteins with complementary-sense, and WDV-barley are subject to stronger purifying selection than WDV-wheat. The time since the most recent common WDV ancestor was 1746 (95% credibility interval, 1517-1893) CE. Further analyses identified that the WDV-barley population and WDV-wheat population experienced dramatic expansion-decline episodes, and the expansion time of the WDV-barley population was earlier than that of the WDV-wheat population. Our phylogeographic analysis showed that the WDV population originating in Iran was subsequently introduced to Europe, and then spread from Eastern Europe to China.
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Affiliation(s)
- Shiqing Wei
- College of Agronomy, Sichuan Agricultural University, Chengdu, China
| | - Linwen Liu
- College of Agronomy, Sichuan Agricultural University, Chengdu, China
| | - Guoliang Chen
- College of Agronomy, Sichuan Agricultural University, Chengdu, China
| | - Hui Yang
- College of Agronomy, Sichuan Agricultural University, Chengdu, China
| | - Liang Huang
- State Key Laboratory for the Biology of Plant Diseases and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Guoshu Gong
- College of Agronomy, Sichuan Agricultural University, Chengdu, China
| | - PeiGao Luo
- College of Agronomy, Sichuan Agricultural University, Chengdu, China
| | - Min Zhang
- College of Agronomy, Sichuan Agricultural University, Chengdu, China
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30
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Deng P, Du X, Wang Y, Yang X, Cheng X, Huang C, Li T, Li T, Chen C, Zhao J, Wang C, Liu X, Tian Z, Ji W. GenoBaits®WheatplusEE: a targeted capture sequencing panel for quick and accurate identification of wheat-Thinopyrum derivatives. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2024; 137:36. [PMID: 38291310 DOI: 10.1007/s00122-023-04538-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/19/2023] [Accepted: 12/27/2023] [Indexed: 02/01/2024]
Abstract
KEY MESSAGE A total of 90,000 capture probes derived from wheat and Thinopyrum elongatum were integrated into one chip, which served as an economical genotype for explorating Thinopyrumspecies and their derivatives. Thinopyrum species play a crucial role as a source of new genetic variations for enhancing wheat traits, including resistance to both abiotic and biotic factors. Accurate identification of exogenous chromosome(s) or chromosome segments or genes is essential following the introduction of alien genetic material into wheat, but this task remains challenging. This study aimed to develop a high-resolution wheat-Thinopyrum elongatum array, named GenoBaits®WheatplusEE, to trace alien genetic information by genotyping using a target sequencing system. This GenoBaits®WheatplusEE array included 90,000 capture probes derived from two species and integrated into one chip, with 10,000 and 80,000 originating from wheat and Th. elongatum, respectively. The capture probes were strategically positioned in genes and evenly distributed across the genome, facilitating the development of a roadmap for identifying each alien gene. The array was applied to the high-throughput identification of the alien chromosomes or segments in Thinopyrum and distantly related species and their derivatives. Our results demonstrated that the GenoBaits®WheatplusEE array could be used for direct identification of the breakpoint of alien segments, determine copy number of alien chromosomes, and reveal variations in wheat chromosomes by a single round of target sequencing of the sample. Additionally, we could efficiently and cost-effectively genotype, supporting the exploration of subgenome composition, phylogenetic relationships, and polymorphisms in essential genes (e.g., Fhb7 gene) among Thinopyrum species and their derivatives. We hope that GenoBaits®WheatplusEE will become a widely adopted tool for exporting wild germplasm for wheat improvement in the future.
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Affiliation(s)
- Pingchuan Deng
- State Key Laboratory of Crop Stress Biology in Arid Areas, College of Agronomy, Northwest A&F University, Yangling, 712100, Shaanxi, China
| | - Xin Du
- State Key Laboratory of Crop Stress Biology in Arid Areas, College of Agronomy, Northwest A&F University, Yangling, 712100, Shaanxi, China
| | - Yanzhen Wang
- State Key Laboratory of Crop Stress Biology in Arid Areas, College of Agronomy, Northwest A&F University, Yangling, 712100, Shaanxi, China
- Center for Agricultural Genetic Resources Research, Shanxi Agricultural University, Taiyuan, 030031, Shanxi, China
| | - Xiaoying Yang
- State Key Laboratory of Crop Stress Biology in Arid Areas, College of Agronomy, Northwest A&F University, Yangling, 712100, Shaanxi, China
| | - Xiaofang Cheng
- State Key Laboratory of Crop Stress Biology in Arid Areas, College of Agronomy, Northwest A&F University, Yangling, 712100, Shaanxi, China
| | - Chenxi Huang
- State Key Laboratory of Crop Stress Biology in Arid Areas, College of Agronomy, Northwest A&F University, Yangling, 712100, Shaanxi, China
| | - Tingting Li
- College of Bioengineering, Yangling Vocational Technical College, Yangling, 712100, Shaanxi, China
| | - Tingdong Li
- State Key Laboratory of Crop Stress Biology in Arid Areas, College of Agronomy, Northwest A&F University, Yangling, 712100, Shaanxi, China
| | - Chunhuan Chen
- State Key Laboratory of Crop Stress Biology in Arid Areas, College of Agronomy, Northwest A&F University, Yangling, 712100, Shaanxi, China
| | - Jixin Zhao
- State Key Laboratory of Crop Stress Biology in Arid Areas, College of Agronomy, Northwest A&F University, Yangling, 712100, Shaanxi, China
| | - Changyou Wang
- State Key Laboratory of Crop Stress Biology in Arid Areas, College of Agronomy, Northwest A&F University, Yangling, 712100, Shaanxi, China
| | - Xinlun Liu
- State Key Laboratory of Crop Stress Biology in Arid Areas, College of Agronomy, Northwest A&F University, Yangling, 712100, Shaanxi, China
| | - Zengrong Tian
- State Key Laboratory of Crop Stress Biology in Arid Areas, College of Agronomy, Northwest A&F University, Yangling, 712100, Shaanxi, China
| | - Wanquan Ji
- State Key Laboratory of Crop Stress Biology in Arid Areas, College of Agronomy, Northwest A&F University, Yangling, 712100, Shaanxi, China.
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31
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Jia J, Zhao G, Li D, Wang K, Kong C, Deng P, Yan X, Zhang X, Lu Z, Xu S, Jiao Y, Chong K, Liu X, Cui D, Li G, Zhang Y, Du C, Wu L, Li T, Yan D, Zhan K, Chen F, Wang Z, Zhang L, Kong X, Ru Z, Wang D, Gao L. Genome resources for the elite bread wheat cultivar Aikang 58 and mining of elite homeologous haplotypes for accelerating wheat improvement. MOLECULAR PLANT 2023; 16:1893-1910. [PMID: 37897037 DOI: 10.1016/j.molp.2023.10.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/14/2022] [Revised: 07/12/2023] [Accepted: 10/23/2023] [Indexed: 10/29/2023]
Abstract
Despite recent progress in crop genomics studies, the genomic changes brought about by modern breeding selection are still poorly understood, thus hampering genomics-assisted breeding, especially in polyploid crops with compound genomes such as common wheat (Triticum aestivum). In this work, we constructed genome resources for the modern elite common wheat variety Aikang 58 (AK58). Comparative genomics between AK58 and the landrace cultivar Chinese Spring (CS) shed light on genomic changes that occurred through recent varietal improvement. We also explored subgenome diploidization and divergence in common wheat and developed a homoeologous locus-based genome-wide association study (HGWAS) approach, which was more effective than single homoeolog-based GWAS in unraveling agronomic trait-associated loci. A total of 123 major HGWAS loci were detected using a genetic population derived from AK58 and CS. Elite homoeologous haplotypes (HHs), formed by combinations of subgenomic homoeologs of the associated loci, were found in both parents and progeny, and many could substantially improve wheat yield and related traits. We built a website where users can download genome assembly sequence and annotation data for AK58, perform blast analysis, and run JBrowse. Our work enriches genome resources for wheat, provides new insights into genomic changes during modern wheat improvement, and suggests that efficient mining of elite HHs can make a substantial contribution to genomics-assisted breeding in common wheat and other polyploid crops.
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Affiliation(s)
- Jizeng Jia
- College of Agronomy, Collaborative Innovation Center of Henan Grain Crops, State Key Laboratory of Wheat and Maize Crop Science, and Center for Crop Genome Engineering, Henan Agricultural University, Zhengzhou 450046, Henan, China; State Key Laboratory of Crop Gene Resources and Breeding, the National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Guangyao Zhao
- State Key Laboratory of Crop Gene Resources and Breeding, the National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Danping Li
- State Key Laboratory of Crop Gene Resources and Breeding, the National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Kai Wang
- Xi'An Shansheng Biosciences Co., Ltd., Xi'an 710000, China
| | - Chuizheng Kong
- State Key Laboratory of Crop Gene Resources and Breeding, the National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Pingchuan Deng
- Zhejiang Provincial Key Laboratory of Crop Genetic Resources, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, Zhejiang 310058, China; State Key Laboratory of Crop Stress Biology in Arid Areas, College of Agronomy, Northwest A&F University, Yangling, Shaanxi 612100, China
| | - Xueqing Yan
- State Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Xueyong Zhang
- State Key Laboratory of Crop Gene Resources and Breeding, the National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Zefu Lu
- State Key Laboratory of Crop Gene Resources and Breeding, the National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Shujuan Xu
- University of Chinese Academy of Sciences, Beijing 100049, China; Key Laboratory of Plant Molecular Physiology, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China
| | - Yuannian Jiao
- State Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Kang Chong
- University of Chinese Academy of Sciences, Beijing 100049, China; Key Laboratory of Plant Molecular Physiology, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China
| | - Xu Liu
- State Key Laboratory of Crop Gene Resources and Breeding, the National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Dangqun Cui
- College of Agronomy, Collaborative Innovation Center of Henan Grain Crops, State Key Laboratory of Wheat and Maize Crop Science, and Center for Crop Genome Engineering, Henan Agricultural University, Zhengzhou 450046, Henan, China
| | - Guangwei Li
- College of Agronomy, Collaborative Innovation Center of Henan Grain Crops, State Key Laboratory of Wheat and Maize Crop Science, and Center for Crop Genome Engineering, Henan Agricultural University, Zhengzhou 450046, Henan, China
| | - Yijing Zhang
- State Key Laboratory of Genetic Engineering, Collaborative Innovation Center of Genetics and Development, Department of Biochemistry, Institute of Plant Biology, School of Life Sciences, Fudan University, Shanghai 200438, China
| | - Chunguang Du
- College of Agronomy, Collaborative Innovation Center of Henan Grain Crops, State Key Laboratory of Wheat and Maize Crop Science, and Center for Crop Genome Engineering, Henan Agricultural University, Zhengzhou 450046, Henan, China
| | - Liang Wu
- Zhejiang Provincial Key Laboratory of Crop Genetic Resources, College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, Zhejiang 310058, China; Hainan Yazhou Bay Seed Laboratory, Hainan Institute of Zhejiang University, Sanya, Hainan 562000, China
| | - Tianbao Li
- College of Agronomy, Collaborative Innovation Center of Henan Grain Crops, State Key Laboratory of Wheat and Maize Crop Science, and Center for Crop Genome Engineering, Henan Agricultural University, Zhengzhou 450046, Henan, China; State Key Laboratory of Crop Gene Resources and Breeding, the National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Dong Yan
- State Key Laboratory of Crop Gene Resources and Breeding, the National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Kehui Zhan
- College of Agronomy, Collaborative Innovation Center of Henan Grain Crops, State Key Laboratory of Wheat and Maize Crop Science, and Center for Crop Genome Engineering, Henan Agricultural University, Zhengzhou 450046, Henan, China
| | - Feng Chen
- College of Agronomy, Collaborative Innovation Center of Henan Grain Crops, State Key Laboratory of Wheat and Maize Crop Science, and Center for Crop Genome Engineering, Henan Agricultural University, Zhengzhou 450046, Henan, China
| | - Zhiyong Wang
- College of Agronomy, Collaborative Innovation Center of Henan Grain Crops, State Key Laboratory of Wheat and Maize Crop Science, and Center for Crop Genome Engineering, Henan Agricultural University, Zhengzhou 450046, Henan, China
| | - Lichao Zhang
- State Key Laboratory of Crop Gene Resources and Breeding, the National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Xiuying Kong
- State Key Laboratory of Crop Gene Resources and Breeding, the National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China.
| | - Zhengang Ru
- School of Life Science and Technology, Henan Institute of Science and Technology, Xinxiang, Henan 453003, China.
| | - Daowen Wang
- College of Agronomy, Collaborative Innovation Center of Henan Grain Crops, State Key Laboratory of Wheat and Maize Crop Science, and Center for Crop Genome Engineering, Henan Agricultural University, Zhengzhou 450046, Henan, China.
| | - Lifeng Gao
- State Key Laboratory of Crop Gene Resources and Breeding, the National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China.
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Wen C, Yuan Z, Zhang X, Chen H, Luo L, Li W, Li T, Ma N, Mao F, Lin D, Lin Z, Lin C, Xu T, Lü P, Lin J, Zhu F. Sea-ATI unravels novel vocabularies of plant active cistrome. Nucleic Acids Res 2023; 51:11568-11583. [PMID: 37850650 PMCID: PMC10681729 DOI: 10.1093/nar/gkad853] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2023] [Revised: 08/11/2023] [Accepted: 09/25/2023] [Indexed: 10/19/2023] Open
Abstract
The cistrome consists of all cis-acting regulatory elements recognized by transcription factors (TFs). However, only a portion of the cistrome is active for TF binding in a specific tissue. Resolving the active cistrome in plants remains challenging. In this study, we report the assay sequential extraction assisted-active TF identification (sea-ATI), a low-input method that profiles the DNA sequences recognized by TFs in a target tissue. We applied sea-ATI to seven plant tissues to survey their active cistrome and generated 41 motif models, including 15 new models that represent previously unidentified cis-regulatory vocabularies. ATAC-seq and RNA-seq analyses confirmed the functionality of the cis-elements from the new models, in that they are actively bound in vivo, located near the transcription start site, and influence chromatin accessibility and transcription. Furthermore, comparing dimeric WRKY CREs between sea-ATI and DAP-seq libraries revealed that thermodynamics and genetic drifts cooperatively shaped their evolution. Notably, sea-ATI can identify not only positive but also negative regulatory cis-elements, thereby providing unique insights into the functional non-coding genome of plants.
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Affiliation(s)
- Chenjin Wen
- College of Life Science, Haixia Institute of Science and Technology, National Engineering Research Center of JUNCAO, Fujian Agriculture and Forestry University, Fuzhou 350002, Fujian, China
| | - Zhen Yuan
- College of Life Science, Haixia Institute of Science and Technology, National Engineering Research Center of JUNCAO, Fujian Agriculture and Forestry University, Fuzhou 350002, Fujian, China
| | - Xiaotian Zhang
- College of Life Science, Haixia Institute of Science and Technology, National Engineering Research Center of JUNCAO, Fujian Agriculture and Forestry University, Fuzhou 350002, Fujian, China
| | - Hao Chen
- College of Life Science, Haixia Institute of Science and Technology, National Engineering Research Center of JUNCAO, Fujian Agriculture and Forestry University, Fuzhou 350002, Fujian, China
| | - Lin Luo
- College of Life Science, Haixia Institute of Science and Technology, National Engineering Research Center of JUNCAO, Fujian Agriculture and Forestry University, Fuzhou 350002, Fujian, China
| | - Wanying Li
- College of Life Science, Haixia Institute of Science and Technology, National Engineering Research Center of JUNCAO, Fujian Agriculture and Forestry University, Fuzhou 350002, Fujian, China
| | - Tian Li
- College of Life Science, Haixia Institute of Science and Technology, National Engineering Research Center of JUNCAO, Fujian Agriculture and Forestry University, Fuzhou 350002, Fujian, China
| | - Nana Ma
- College of Life Science, Haixia Institute of Science and Technology, National Engineering Research Center of JUNCAO, Fujian Agriculture and Forestry University, Fuzhou 350002, Fujian, China
| | - Fei Mao
- College of Life Science, Haixia Institute of Science and Technology, National Engineering Research Center of JUNCAO, Fujian Agriculture and Forestry University, Fuzhou 350002, Fujian, China
| | - Dongmei Lin
- College of Life Science, Haixia Institute of Science and Technology, National Engineering Research Center of JUNCAO, Fujian Agriculture and Forestry University, Fuzhou 350002, Fujian, China
| | - Zhanxi Lin
- College of Life Science, Haixia Institute of Science and Technology, National Engineering Research Center of JUNCAO, Fujian Agriculture and Forestry University, Fuzhou 350002, Fujian, China
| | - Chentao Lin
- College of Life Science, Haixia Institute of Science and Technology, National Engineering Research Center of JUNCAO, Fujian Agriculture and Forestry University, Fuzhou 350002, Fujian, China
| | - Tongda Xu
- College of Life Science, Haixia Institute of Science and Technology, National Engineering Research Center of JUNCAO, Fujian Agriculture and Forestry University, Fuzhou 350002, Fujian, China
| | - Peitao Lü
- College of Horticulture, Fujian Agriculture and Forestry University, Fuzhou 350002, Fujian, China
| | - Juncheng Lin
- College of Life Science, Haixia Institute of Science and Technology, National Engineering Research Center of JUNCAO, Fujian Agriculture and Forestry University, Fuzhou 350002, Fujian, China
| | - Fangjie Zhu
- College of Life Science, Haixia Institute of Science and Technology, National Engineering Research Center of JUNCAO, Fujian Agriculture and Forestry University, Fuzhou 350002, Fujian, China
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33
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Tan F, Hou Y, Huang X, Jia J, Yang H, Luo P. Temporal and spatial arrangement of wheat sowing date: a revolutionary strategy to accomplish Tianfu Granary. FRONTIERS IN PLANT SCIENCE 2023; 14:1240417. [PMID: 38053769 PMCID: PMC10694224 DOI: 10.3389/fpls.2023.1240417] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/15/2023] [Accepted: 11/03/2023] [Indexed: 12/07/2023]
Abstract
Rapidly global urbanization and economic growth in the past several decades have resulted in a sharp contraction of arable areas worldwide. However, food supply requirements are quickly increasing due to higher living standards and larger populations. Therefore, food crises are still a major threat to human society. The conflict between farmland areas and the increasing need for essential supplies is becoming acuter in China. Therefore, we suggest that a novel strategy would address the issue, in which temporal and spatial arrangement of wheat sowing dates would be highly focused.
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Affiliation(s)
- Feiquan Tan
- Key Laboratory of Plant Genetics and Breeding at Sichuan Agricultural University of Sichuan Province, Agricultural College, Sichuan Agricultural University, Chengdu, China
| | - Yulian Hou
- Key Laboratory of Plant Genetics and Breeding at Sichuan Agricultural University of Sichuan Province, Agricultural College, Sichuan Agricultural University, Chengdu, China
| | - Xinyu Huang
- Key Laboratory of Plant Genetics and Breeding at Sichuan Agricultural University of Sichuan Province, Agricultural College, Sichuan Agricultural University, Chengdu, China
| | - Jia Jia
- Key Laboratory of Plant Genetics and Breeding at Sichuan Agricultural University of Sichuan Province, Agricultural College, Sichuan Agricultural University, Chengdu, China
| | - Huai Yang
- Key Laboratory of Plant Genetics and Breeding at Sichuan Agricultural University of Sichuan Province, Agricultural College, Sichuan Agricultural University, Chengdu, China
- Sichuan Long-Gao-Fei Agricultural Science and Technology Co., Ltd, Chengdu, China
| | - Peigao Luo
- Key Laboratory of Plant Genetics and Breeding at Sichuan Agricultural University of Sichuan Province, Agricultural College, Sichuan Agricultural University, Chengdu, China
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34
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Li Z, Zhang Y, Ding CH, Chen Y, Wang H, Zhang J, Ying S, Wang M, Zhang R, Liu J, Xie Y, Tang T, Diao H, Ye L, Zhuang Y, Teng W, Zhang B, Huang L, Tong Y, Zhang W, Li G, Benhamed M, Dong Z, Gou JY, Zhang Y. LHP1-mediated epigenetic buffering of subgenome diversity and defense responses confers genome plasticity and adaptability in allopolyploid wheat. Nat Commun 2023; 14:7538. [PMID: 37985755 PMCID: PMC10661560 DOI: 10.1038/s41467-023-43178-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Accepted: 10/25/2023] [Indexed: 11/22/2023] Open
Abstract
Polyploidization is a major driver of genome diversification and environmental adaptation. However, the merger of different genomes may result in genomic conflicts, raising a major question regarding how genetic diversity is interpreted and regulated to enable environmental plasticity. By analyzing the genome-wide binding of 191 trans-factors in allopolyploid wheat, we identified like heterochromatin protein 1 (LHP1) as a master regulator of subgenome-diversified genes. Transcriptomic and epigenomic analyses of LHP1 mutants reveal its role in buffering the expression of subgenome-diversified defense genes by controlling H3K27me3 homeostasis. Stripe rust infection releases latent subgenomic variations by eliminating H3K27me3-related repression. The simultaneous inactivation of LHP1 homoeologs by CRISPR-Cas9 confers robust stripe rust resistance in wheat seedlings. The conditional repression of subgenome-diversified defenses ensures developmental plasticity to external changes, while also promoting neutral-to-non-neutral selection transitions and adaptive evolution. These findings establish an LHP1-mediated buffering system at the intersection of genotypes, environments, and phenotypes in polyploid wheat. Manipulating the epigenetic buffering capacity offers a tool to harness cryptic subgenomic variations for crop improvement.
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Affiliation(s)
- Zijuan Li
- State Key Laboratory of Genetic Engineering, Collaborative Innovation Center of Genetics and Development, Department of Biochemistry, Institute of Plant Biology, School of Life Sciences, Fudan University, 200438, Shanghai, China
- National Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, 300 Fenglin Road, 200032, Shanghai, China
- University of the Chinese Academy of Sciences, 100049, Beijing, China
| | - Yuyun Zhang
- State Key Laboratory of Genetic Engineering, Collaborative Innovation Center of Genetics and Development, Department of Biochemistry, Institute of Plant Biology, School of Life Sciences, Fudan University, 200438, Shanghai, China
- National Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, 300 Fenglin Road, 200032, Shanghai, China
- University of the Chinese Academy of Sciences, 100049, Beijing, China
| | - Ci-Hang Ding
- State Key Laboratory of Genetic Engineering, Collaborative Innovation Center of Genetics and Development, Department of Biochemistry, Institute of Plant Biology, School of Life Sciences, Fudan University, 200438, Shanghai, China
- Frontiers Science Center for Molecular Design Breeding, China Agricultural University, Beijing, China
| | - Yan Chen
- Guangdong Provincial Key Laboratory of Plant Adaptation and Molecular Design, Guangzhou Key Laboratory of Crop Gene Editing, Innovative Center of Molecular Genetics and Evolution, School of Life Sciences, Guangzhou University, 510006, Guangzhou, China
| | - Haoyu Wang
- State Key Laboratory of Genetic Engineering, Collaborative Innovation Center of Genetics and Development, Department of Biochemistry, Institute of Plant Biology, School of Life Sciences, Fudan University, 200438, Shanghai, China
- National Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, 300 Fenglin Road, 200032, Shanghai, China
- Henan University, School of Life Science, 457000, Kaifeng, Henan, China
| | - Jinyu Zhang
- State Key Laboratory of Genetic Engineering, Collaborative Innovation Center of Genetics and Development, Department of Biochemistry, Institute of Plant Biology, School of Life Sciences, Fudan University, 200438, Shanghai, China
- National Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, 300 Fenglin Road, 200032, Shanghai, China
- University of the Chinese Academy of Sciences, 100049, Beijing, China
| | - Songbei Ying
- State Key Laboratory of Genetic Engineering, Collaborative Innovation Center of Genetics and Development, Department of Biochemistry, Institute of Plant Biology, School of Life Sciences, Fudan University, 200438, Shanghai, China
| | - Meiyue Wang
- State Key Laboratory of Genetic Engineering, Collaborative Innovation Center of Genetics and Development, Department of Biochemistry, Institute of Plant Biology, School of Life Sciences, Fudan University, 200438, Shanghai, China
| | - Rongzhi Zhang
- Crop Research Institute, Shandong Academy of Agricultural Sciences, Jinan, China
- Ministry of Agriculture, Key Laboratory of Wheat Biology and Genetic Improvement on North Yellow and Huai River Valley, Jinan, China
- National Engineering Research Center for Wheat and Maize, Jinan, Shandong, China
| | - Jinyi Liu
- State Key Laboratory of Genetic Engineering, Collaborative Innovation Center of Genetics and Development, Department of Biochemistry, Institute of Plant Biology, School of Life Sciences, Fudan University, 200438, Shanghai, China
- National Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, 300 Fenglin Road, 200032, Shanghai, China
- University of the Chinese Academy of Sciences, 100049, Beijing, China
| | - Yilin Xie
- State Key Laboratory of Genetic Engineering, Collaborative Innovation Center of Genetics and Development, Department of Biochemistry, Institute of Plant Biology, School of Life Sciences, Fudan University, 200438, Shanghai, China
- National Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, 300 Fenglin Road, 200032, Shanghai, China
- University of the Chinese Academy of Sciences, 100049, Beijing, China
| | - Tengfei Tang
- State Key Laboratory of Genetic Engineering, Collaborative Innovation Center of Genetics and Development, Department of Biochemistry, Institute of Plant Biology, School of Life Sciences, Fudan University, 200438, Shanghai, China
- National Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, 300 Fenglin Road, 200032, Shanghai, China
- Henan University, School of Life Science, 457000, Kaifeng, Henan, China
| | - Huishan Diao
- State Key Laboratory of Genetic Engineering, Collaborative Innovation Center of Genetics and Development, Department of Biochemistry, Institute of Plant Biology, School of Life Sciences, Fudan University, 200438, Shanghai, China
| | - Luhuan Ye
- National Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, 300 Fenglin Road, 200032, Shanghai, China
| | - Yili Zhuang
- National Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, 300 Fenglin Road, 200032, Shanghai, China
| | - Wan Teng
- University of the Chinese Academy of Sciences, 100049, Beijing, China
- The State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, the Innovative Academy of Seed Design, Chinese Academy of Sciences, 100101, Beijing, China
| | - Bo Zhang
- Northwest Institute of Plateau Biology, Chinese Academy of Sciences, 810008, Xining, China
| | - Lin Huang
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Sichuan Agricultural University, 611130, Wenjiang, Chengdu, China
| | - Yiping Tong
- University of the Chinese Academy of Sciences, 100049, Beijing, China
- The State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, the Innovative Academy of Seed Design, Chinese Academy of Sciences, 100101, Beijing, China
| | - Wenli Zhang
- State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricultural University, No.1 Weigang, 210095, Nanjing, Jiangsu, China
| | - Genying Li
- Crop Research Institute, Shandong Academy of Agricultural Sciences, Jinan, China
- Ministry of Agriculture, Key Laboratory of Wheat Biology and Genetic Improvement on North Yellow and Huai River Valley, Jinan, China
- National Engineering Research Center for Wheat and Maize, Jinan, Shandong, China
| | - Moussa Benhamed
- Université Paris Cité, Institute of Plant Sciences Paris-Saclay (IPS2), F-75006, Paris, France.
- Université Paris-Saclay, CNRS, INRAE, Univ Evry, Institute of Plant Sciences Paris-Saclay (IPS2), 91405, Orsay, France.
| | - Zhicheng Dong
- Guangdong Provincial Key Laboratory of Plant Adaptation and Molecular Design, Guangzhou Key Laboratory of Crop Gene Editing, Innovative Center of Molecular Genetics and Evolution, School of Life Sciences, Guangzhou University, 510006, Guangzhou, China.
| | - Jin-Ying Gou
- Frontiers Science Center for Molecular Design Breeding, China Agricultural University, Beijing, China.
| | - Yijing Zhang
- State Key Laboratory of Genetic Engineering, Collaborative Innovation Center of Genetics and Development, Department of Biochemistry, Institute of Plant Biology, School of Life Sciences, Fudan University, 200438, Shanghai, China.
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Xie Y, Ying S, Li Z, Zhang Y, Zhu J, Zhang J, Wang M, Diao H, Wang H, Zhang Y, Ye L, Zhuang Y, Zhao F, Teng W, Zhang W, Tong Y, Cho J, Dong Z, Xue Y, Zhang Y. Transposable element-initiated enhancer-like elements generate the subgenome-biased spike specificity of polyploid wheat. Nat Commun 2023; 14:7465. [PMID: 37978184 PMCID: PMC10656477 DOI: 10.1038/s41467-023-42771-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2023] [Accepted: 10/20/2023] [Indexed: 11/19/2023] Open
Abstract
Transposable elements (TEs) comprise ~85% of the common wheat genome, which are highly diverse among subgenomes, possibly contribute to polyploid plasticity, but the causality is only assumed. Here, by integrating data from gene expression cap analysis and epigenome profiling via hidden Markov model in common wheat, we detect a large proportion of enhancer-like elements (ELEs) derived from TEs producing nascent noncoding transcripts, namely ELE-RNAs, which are well indicative of the regulatory activity of ELEs. Quantifying ELE-RNA transcriptome across typical developmental stages reveals that TE-initiated ELE-RNAs are mainly from RLG_famc7.3 specifically expanded in subgenome A. Acquisition of spike-specific transcription factor binding likely confers spike-specific expression of RLG_famc7.3-initiated ELE-RNAs. Knockdown of RLG_famc7.3-initiated ELE-RNAs resulted in global downregulation of spike-specific genes and abnormal spike development. These findings link TE expansion to regulatory specificity and polyploid developmental plasticity, highlighting the functional impact of TE-driven regulatory innovation on polyploid evolution.
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Affiliation(s)
- Yilin Xie
- State Key Laboratory of Genetic Engineering, Collaborative Innovation Center of Genetics and Development, Department of Biochemistry, Institute of Plant Biology, School of Life Sciences, Fudan University, Shanghai, 200438, China
- National Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, 300 Fenglin Road, Shanghai, 200032, China
- University of the Chinese Academy of Sciences, Beijing, 100049, China
| | - Songbei Ying
- State Key Laboratory of Genetic Engineering, Collaborative Innovation Center of Genetics and Development, Department of Biochemistry, Institute of Plant Biology, School of Life Sciences, Fudan University, Shanghai, 200438, China
| | - Zijuan Li
- National Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, 300 Fenglin Road, Shanghai, 200032, China
- University of the Chinese Academy of Sciences, Beijing, 100049, China
| | - Yu'e Zhang
- University of the Chinese Academy of Sciences, Beijing, 100049, China
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, and The Innovation Academy of Seed Design, Chinese Academy of Sciences, Beijing, 100101, China
| | - Jiafu Zhu
- Guangdong Provincial Key Laboratory of Plant Adaptation and Molecular Design, Guangzhou Key Laboratory of Crop Gene Editing, Innovative Center of Molecular Genetics and Evolution, School of Life Sciences, Guangzhou University, Guangzhou, 510006, China
| | - Jinyu Zhang
- State Key Laboratory of Genetic Engineering, Collaborative Innovation Center of Genetics and Development, Department of Biochemistry, Institute of Plant Biology, School of Life Sciences, Fudan University, Shanghai, 200438, China
- National Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, 300 Fenglin Road, Shanghai, 200032, China
- University of the Chinese Academy of Sciences, Beijing, 100049, China
| | - Meiyue Wang
- State Key Laboratory of Genetic Engineering, Collaborative Innovation Center of Genetics and Development, Department of Biochemistry, Institute of Plant Biology, School of Life Sciences, Fudan University, Shanghai, 200438, China
| | - Huishan Diao
- State Key Laboratory of Genetic Engineering, Collaborative Innovation Center of Genetics and Development, Department of Biochemistry, Institute of Plant Biology, School of Life Sciences, Fudan University, Shanghai, 200438, China
| | - Haoyu Wang
- National Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, 300 Fenglin Road, Shanghai, 200032, China
- Henan University, School of Life Science, Kaifeng, Henan, 457000, China
| | - Yuyun Zhang
- State Key Laboratory of Genetic Engineering, Collaborative Innovation Center of Genetics and Development, Department of Biochemistry, Institute of Plant Biology, School of Life Sciences, Fudan University, Shanghai, 200438, China
- National Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, 300 Fenglin Road, Shanghai, 200032, China
- University of the Chinese Academy of Sciences, Beijing, 100049, China
| | - Luhuan Ye
- National Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, 300 Fenglin Road, Shanghai, 200032, China
- University of the Chinese Academy of Sciences, Beijing, 100049, China
| | - Yili Zhuang
- National Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, 300 Fenglin Road, Shanghai, 200032, China
- University of the Chinese Academy of Sciences, Beijing, 100049, China
| | - Fei Zhao
- National Key Laboratory of Plant Molecular Genetics, CAS Center for Excellence in Molecular Plant Sciences, Shanghai Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, 300 Fenglin Road, Shanghai, 200032, China
- University of the Chinese Academy of Sciences, Beijing, 100049, China
| | - Wan Teng
- University of the Chinese Academy of Sciences, Beijing, 100049, China
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, and The Innovation Academy of Seed Design, Chinese Academy of Sciences, Beijing, 100101, China
| | - Wenli Zhang
- State Key Laboratory for Crop Genetics and Germplasm Enhancement, CIC-MCP, Nanjing Agricultural University, No.1 Weigang, Nanjing, Jiangsu, 210095, China
| | - Yiping Tong
- University of the Chinese Academy of Sciences, Beijing, 100049, China
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, and The Innovation Academy of Seed Design, Chinese Academy of Sciences, Beijing, 100101, China
| | - Jungnam Cho
- Department of Biosciences, Durham University, Durham, DH1 3LE, United Kingdom.
| | - Zhicheng Dong
- Guangdong Provincial Key Laboratory of Plant Adaptation and Molecular Design, Guangzhou Key Laboratory of Crop Gene Editing, Innovative Center of Molecular Genetics and Evolution, School of Life Sciences, Guangzhou University, Guangzhou, 510006, China.
| | - Yongbiao Xue
- University of the Chinese Academy of Sciences, Beijing, 100049, China.
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, and The Innovation Academy of Seed Design, Chinese Academy of Sciences, Beijing, 100101, China.
- Beijing Institute of Genomics, Chinese Academy of Sciences, and China National Centre for Bioinformation, Beijing, 100101, China.
- Jiangsu Co-Innovation Center for Modern Production Technology of Grain Crops, Yangzhou University, Yangzhou, 225009, China.
| | - Yijing Zhang
- State Key Laboratory of Genetic Engineering, Collaborative Innovation Center of Genetics and Development, Department of Biochemistry, Institute of Plant Biology, School of Life Sciences, Fudan University, Shanghai, 200438, China.
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Zhou X, Zhao Y, Ni P, Ni Z, Sun Q, Zong Y. CRISPR-mediated acceleration of wheat improvement: advances and perspectives. J Genet Genomics 2023; 50:815-834. [PMID: 37741566 DOI: 10.1016/j.jgg.2023.09.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2023] [Revised: 09/13/2023] [Accepted: 09/14/2023] [Indexed: 09/25/2023]
Abstract
Common wheat (Triticum aestivum) is one of the most widely cultivated and consumed crops globally. In the face of limited arable land and climate changes, it is a great challenge to maintain current and increase future wheat production. Enhancing agronomic traits in wheat by introducing mutations across all three homoeologous copies of each gene has proven to be a difficult task due to its large genome with high repetition. However, clustered regularly interspaced short palindromic repeat (CRISPR)/CRISPR-associated nuclease (Cas) genome editing technologies offer a powerful means of precisely manipulating the genomes of crop species, thereby opening up new possibilities for biotechnology and breeding. In this review, we first focus on the development and optimization of the current CRISPR-based genome editing tools in wheat, emphasizing recent breakthroughs in precise and multiplex genome editing. We then describe the general procedure of wheat genome editing and highlight different methods to deliver the genome editing reagents into wheat cells. Furthermore, we summarize the recent applications and advancements of CRISPR/Cas technologies for wheat improvement. Lastly, we discuss the remaining challenges specific to wheat genome editing and its future prospects.
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Affiliation(s)
- Ximeng Zhou
- Frontiers Science Center for Molecular Design Breeding, Key Laboratory of Crop Heterosis and Utilization, Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing 100193, China
| | - Yidi Zhao
- Frontiers Science Center for Molecular Design Breeding, Key Laboratory of Crop Heterosis and Utilization, Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing 100193, China
| | - Pei Ni
- Frontiers Science Center for Molecular Design Breeding, Key Laboratory of Crop Heterosis and Utilization, Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing 100193, China
| | - Zhongfu Ni
- Frontiers Science Center for Molecular Design Breeding, Key Laboratory of Crop Heterosis and Utilization, Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing 100193, China
| | - Qixin Sun
- Frontiers Science Center for Molecular Design Breeding, Key Laboratory of Crop Heterosis and Utilization, Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing 100193, China
| | - Yuan Zong
- Frontiers Science Center for Molecular Design Breeding, Key Laboratory of Crop Heterosis and Utilization, Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing 100193, China.
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Wang Z, Miao L, Chen Y, Peng H, Ni Z, Sun Q, Guo W. Deciphering the evolution and complexity of wheat germplasm from a genomic perspective. J Genet Genomics 2023; 50:846-860. [PMID: 37611848 DOI: 10.1016/j.jgg.2023.08.002] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2023] [Revised: 07/29/2023] [Accepted: 08/09/2023] [Indexed: 08/25/2023]
Abstract
Bread wheat provides an essential fraction of the daily calorific intake for humanity. Due to its huge and complex genome, progress in studying on the wheat genome is substantially trailed behind those of the other two major crops, rice and maize, for at least a decade. With rapid advances in genome assembling and reduced cost of high-throughput sequencing, emerging de novo genome assemblies of wheat and whole-genome sequencing data are leading to a paradigm shift in wheat research. Here, we review recent progress in dissecting the complex genome and germplasm evolution of wheat since the release of the first high-quality wheat genome. New insights have been gained in the evolution of wheat germplasm during domestication and modern breeding progress, genomic variations at multiple scales contributing to the diversity of wheat germplasm, and complex transcriptional and epigenetic regulations of functional genes in polyploid wheat. Genomics databases and bioinformatics tools meeting the urgent needs of wheat genomics research are also summarized. The ever-increasing omics data, along with advanced tools and well-structured databases, are expected to accelerate deciphering the germplasm and gene resources in wheat for future breeding advances.
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Affiliation(s)
- Zihao Wang
- Frontiers Science Center for Molecular Design Breeding, Key Laboratory of Crop Heterosis and Utilization, Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing 100193, China
| | - Lingfeng Miao
- Frontiers Science Center for Molecular Design Breeding, Key Laboratory of Crop Heterosis and Utilization, Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing 100193, China
| | - Yongming Chen
- Frontiers Science Center for Molecular Design Breeding, Key Laboratory of Crop Heterosis and Utilization, Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing 100193, China
| | - Huiru Peng
- Frontiers Science Center for Molecular Design Breeding, Key Laboratory of Crop Heterosis and Utilization, Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing 100193, China
| | - Zhongfu Ni
- Frontiers Science Center for Molecular Design Breeding, Key Laboratory of Crop Heterosis and Utilization, Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing 100193, China
| | - Qixin Sun
- Frontiers Science Center for Molecular Design Breeding, Key Laboratory of Crop Heterosis and Utilization, Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing 100193, China
| | - Weilong Guo
- Frontiers Science Center for Molecular Design Breeding, Key Laboratory of Crop Heterosis and Utilization, Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing 100193, China.
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Polturak G, Misra RC, El-Demerdash A, Owen C, Steed A, McDonald HP, Wang J, Saalbach G, Martins C, Chartrain L, Wilkinson B, Nicholson P, Osbourn A. Discovery of isoflavone phytoalexins in wheat reveals an alternative route to isoflavonoid biosynthesis. Nat Commun 2023; 14:6977. [PMID: 37914713 PMCID: PMC10620232 DOI: 10.1038/s41467-023-42464-3] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2023] [Accepted: 10/12/2023] [Indexed: 11/03/2023] Open
Abstract
Isoflavones are a group of phenolic compounds mostly restricted to plants of the legume family, where they mediate important interactions with plant-associated microbes, including in defense from pathogens and in nodulation. Their well-studied health promoting attributes have made them a prime target for metabolic engineering, both for bioproduction of isoflavones as high-value molecules, and in biofortification of food crops. A key gene in their biosynthesis, isoflavone synthase, was identified in legumes over two decades ago, but little is known about formation of isoflavones outside of this family. Here we identify a specialized wheat-specific isoflavone synthase, TaCYP71F53, which catalyzes a different reaction from the leguminous isoflavone synthases, thus revealing an alternative path to isoflavonoid biosynthesis and providing a non-transgenic route for engineering isoflavone production in wheat. TaCYP71F53 forms part of a biosynthetic gene cluster that produces a naringenin-derived O-methylated isoflavone, 5-hydroxy-2',4',7-trimethoxyisoflavone, triticein. Pathogen-induced production and in vitro antimicrobial activity of triticein suggest a defense-related role for this molecule in wheat. Genomic and metabolic analyses of wheat ancestral grasses further show that the triticein gene cluster was introduced into domesticated emmer wheat through natural hybridization ~9000 years ago, and encodes a pathogen-responsive metabolic pathway that is conserved in modern bread wheat varieties.
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Affiliation(s)
- Guy Polturak
- Biochemistry and Metabolism Department, John Innes Centre, Norwich, NR4 7UH, UK.
- Institute of Plant Sciences and Genetics in Agriculture, The Hebrew University of Jerusalem, Rehovot, 7610001, Israel.
| | | | - Amr El-Demerdash
- Biochemistry and Metabolism Department, John Innes Centre, Norwich, NR4 7UH, UK
- Division of Organic Chemistry, Department of Chemistry, School of Sciences, Mansoura University, Mansoura, 35516, Egypt
| | - Charlotte Owen
- Biochemistry and Metabolism Department, John Innes Centre, Norwich, NR4 7UH, UK
| | - Andrew Steed
- Crop Genetics Department, John Innes Centre, Norwich, NR4 7UH, UK
| | - Hannah P McDonald
- Molecular Microbiology Department, John Innes Centre, Norwich, NR4 7UH, UK
| | - JiaoJiao Wang
- Biochemistry and Metabolism Department, John Innes Centre, Norwich, NR4 7UH, UK
- Tsinghua-Peking Joint Center for Life Sciences, and School of Life Sciences, Tsinghua University, Beijing, 100084, China
| | | | - Carlo Martins
- Proteomics Facility, John Innes Centre, Norwich, NR4 7UH, UK
| | | | - Barrie Wilkinson
- Molecular Microbiology Department, John Innes Centre, Norwich, NR4 7UH, UK
| | - Paul Nicholson
- Crop Genetics Department, John Innes Centre, Norwich, NR4 7UH, UK
| | - Anne Osbourn
- Biochemistry and Metabolism Department, John Innes Centre, Norwich, NR4 7UH, UK.
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Li T, Tang S, Li W, Zhang S, Wang J, Pan D, Lin Z, Ma X, Chang Y, Liu B, Sun J, Wang X, Zhao M, You C, Luo H, Wang M, Ye X, Zhai J, Shen Z, Du H, Song X, Huang G, Cao X. Genome evolution and initial breeding of the Triticeae grass Leymus chinensis dominating the Eurasian Steppe. Proc Natl Acad Sci U S A 2023; 120:e2308984120. [PMID: 37874858 PMCID: PMC10623014 DOI: 10.1073/pnas.2308984120] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2023] [Accepted: 09/19/2023] [Indexed: 10/26/2023] Open
Abstract
Leymus chinensis, a dominant perennial grass in the Eurasian Steppe, is well known for its remarkable adaptability and forage quality. Hardly any breeding has been done on the grass, limiting its potential in ecological restoration and forage productivity. To enable genetic improvement of the untapped, important species, we obtained a 7.85-Gb high-quality genome of L. chinensis with a particularly long contig N50 (318.49 Mb). Its allotetraploid genome is estimated to originate 5.29 million years ago (MYA) from a cross between the Ns-subgenome relating to Psathyrostachys and the unknown Xm-subgenome. Multiple bursts of transposons during 0.433-1.842 MYA after genome allopolyploidization, which involved predominantly the Tekay and Angela of LTR retrotransposons, contributed to its genome expansion and complexity. With the genome resource available, we successfully developed a genetic transformation system as well as the gene-editing pipeline in L. chinensis. We knocked out the monocot-specific miR528 using CRISPR/Cas9, resulting in the improvement of yield-related traits with increases in the tiller number and growth rate. Our research provides valuable genomic resources for Triticeae evolutionary studies and presents a conceptual framework illustrating the utilization of genomic information and genome editing to accelerate the improvement of wild L. chinensis with features such as polyploidization and self-incompatibility.
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Affiliation(s)
- Tong Li
- State Key Laboratory of Plant Genomics and National Center for Plant Gene Research, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing100101, China
| | - Shanjie Tang
- State Key Laboratory of Plant Genomics and National Center for Plant Gene Research, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing100101, China
| | - Wei Li
- School of Life Sciences, Institute of Life Sciences and Green Development, Hebei University, Baoding071000, China
| | - Shuaibin Zhang
- State Key Laboratory of Plant Genomics and National Center for Plant Gene Research, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing100101, China
| | - Jianli Wang
- Institute of Forage and Grassland Sciences, Heilongjiang Academy of Agricultural Sciences, Harbin150086, China
| | - Duofeng Pan
- Institute of Forage and Grassland Sciences, Heilongjiang Academy of Agricultural Sciences, Harbin150086, China
| | - Zhelong Lin
- State Key Laboratory of Plant Genomics and National Center for Plant Gene Research, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing100101, China
| | - Xuan Ma
- College of Life Sciences, Tianjin Key Laboratory of Animal and Plant Resistance, Tianjin Normal University, Tianjin300387, China
| | - Yanan Chang
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing100081, China
| | - Bo Liu
- Department of Biology, School of Life Sciences, Southern University of Science and Technology, Shenzhen518055, China
| | - Jing Sun
- State Key Laboratory of Plant Genomics and National Center for Plant Gene Research, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing100101, China
| | - Xiaofei Wang
- State Key Laboratory of Plant Genomics and National Center for Plant Gene Research, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing100101, China
| | - Mengjie Zhao
- State Key Laboratory of Plant Genomics and National Center for Plant Gene Research, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing100101, China
| | - Changqing You
- State Key Laboratory of Plant Genomics and National Center for Plant Gene Research, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing100101, China
| | - Haofei Luo
- State Key Laboratory of Plant Genomics and National Center for Plant Gene Research, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing100101, China
| | - Meijia Wang
- State Key Laboratory of Plant Genomics and National Center for Plant Gene Research, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing100101, China
| | - Xingguo Ye
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing100081, China
| | - Jixian Zhai
- Department of Biology, School of Life Sciences, Southern University of Science and Technology, Shenzhen518055, China
| | - Zhongbao Shen
- Institute of Forage and Grassland Sciences, Heilongjiang Academy of Agricultural Sciences, Harbin150086, China
| | - Huilong Du
- School of Life Sciences, Institute of Life Sciences and Green Development, Hebei University, Baoding071000, China
| | - Xianwei Song
- State Key Laboratory of Plant Genomics and National Center for Plant Gene Research, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing100101, China
- Innovative Academy of Seed Design, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing100101, China
| | - Gai Huang
- State Key Laboratory of Plant Genomics and National Center for Plant Gene Research, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing100101, China
| | - Xiaofeng Cao
- State Key Laboratory of Plant Genomics and National Center for Plant Gene Research, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing100101, China
- CAS Center for Excellence in Molecular Plant Sciences, Chinese Academy of Sciences, Beijing100101, China
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40
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Zhang J, Xiong H, Burguener GF, Vasquez-Gross H, Liu Q, Debernardi JM, Akhunova A, Garland-Campbell K, Kianian SF, Brown-Guedira G, Pozniak C, Faris JD, Akhunov E, Dubcovsky J. Sequencing 4.3 million mutations in wheat promoters to understand and modify gene expression. Proc Natl Acad Sci U S A 2023; 120:e2306494120. [PMID: 37703281 PMCID: PMC10515147 DOI: 10.1073/pnas.2306494120] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2023] [Accepted: 08/03/2023] [Indexed: 09/15/2023] Open
Abstract
Wheat is an important contributor to global food security, and further improvements are required to feed a growing human population. Functional genetics and genomics tools can help us to understand the function of different genes and to engineer beneficial changes. In this study, we used a promoter capture assay to sequence 2-kb regions upstream of all high-confidence annotated genes from 1,513 mutagenized plants from the tetraploid wheat variety Kronos. We identified 4.3 million induced mutations with an accuracy of 99.8%, resulting in a mutation density of 41.9 mutations per kb. We also remapped Kronos exome capture reads to Chinese Spring RefSeq v1.1, identified 4.7 million mutations, and predicted their effects on annotated genes. Using these predictions, we identified 59% more nonsynonymous substitutions and 49% more truncation mutations than in the original study. To show the biological value of the promoter dataset, we selected two mutations within the promoter of the VRN-A1 vernalization gene. Both mutations, located within transcription factor binding sites, significantly altered VRN-A1 expression, and one reduced the number of spikelets per spike. These publicly available sequenced mutant datasets provide rapid and inexpensive access to induced variation in the promoters and coding regions of most wheat genes. These mutations can be used to understand and modulate gene expression and phenotypes for both basic and commercial applications, where limited governmental regulations can facilitate deployment. These mutant collections, together with gene editing, provide valuable tools to accelerate functional genetic studies in this economically important crop.
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Affiliation(s)
- Junli Zhang
- Department of Plant Sciences, University of California, Davis, CA95616
| | - Hongchun Xiong
- Department of Plant Sciences, University of California, Davis, CA95616
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing100081, China
| | - Germán F. Burguener
- Department of Plant Sciences, University of California, Davis, CA95616
- HHMI, Chevy Chase, MD20815
| | - Hans Vasquez-Gross
- Department of Plant Sciences, University of California, Davis, CA95616
- Nevada Bioinformatics Center, University of Nevada, Reno, NV89557
| | - Qiujie Liu
- Department of Plant Sciences, University of California, Davis, CA95616
- HHMI, Chevy Chase, MD20815
| | - Juan M. Debernardi
- Department of Plant Sciences, University of California, Davis, CA95616
- HHMI, Chevy Chase, MD20815
| | - Alina Akhunova
- Department of Plant Pathology, Kansas State University, Manhattan, KS66506
| | - Kimberly Garland-Campbell
- United States Department of Agriculture - Agricultural Research Service, Wheat Health, Genetics and Quality Research Unit, Pullman, WA99164
| | - Shahryar F. Kianian
- United States Department of Agriculture - Agricultural Research Service, Cereal Disease Laboratory, Saint Paul, MN55108-6086
| | - Gina Brown-Guedira
- United States Department of Agriculture - Agricultural Research Service, Plant Science Research Unit, Raleigh, NC27695
| | - Curtis Pozniak
- Crop Development Centre, University of Saskatchewan, SaskatoonS7N 5A8, Canada
| | - Justin D. Faris
- United States Department of Agriculture - Agricultural Research Service, Cereal Crops Research Unit, Northern Crop Science Laboratory, Fargo, ND58102
| | - Eduard Akhunov
- Department of Plant Pathology, Kansas State University, Manhattan, KS66506
| | - Jorge Dubcovsky
- Department of Plant Sciences, University of California, Davis, CA95616
- HHMI, Chevy Chase, MD20815
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Chen Y, Guo Y, Xie X, Wang Z, Miao L, Yang Z, Jiao Y, Xie C, Liu J, Hu Z, Xin M, Yao Y, Ni Z, Sun Q, Peng H, Guo W. Pangenome-based trajectories of intracellular gene transfers in Poaceae unveil high cumulation in Triticeae. PLANT PHYSIOLOGY 2023; 193:578-594. [PMID: 37249052 PMCID: PMC10469385 DOI: 10.1093/plphys/kiad319] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/14/2023] [Accepted: 05/04/2023] [Indexed: 05/31/2023]
Abstract
Intracellular gene transfers (IGTs) between the nucleus and organelles, including plastids and mitochondria, constantly reshape the nuclear genome during evolution. Despite the substantial contribution of IGTs to genome variation, the dynamic trajectories of IGTs at the pangenomic level remain elusive. Here, we developed an approach, IGTminer, that maps the evolutionary trajectories of IGTs using collinearity and gene reannotation across multiple genome assemblies. We applied IGTminer to create a nuclear organellar gene (NOG) map across 67 genomes covering 15 Poaceae species, including important crops. The resulting NOGs were verified by experiments and sequencing data sets. Our analysis revealed that most NOGs were recently transferred and lineage specific and that Triticeae species tended to have more NOGs than other Poaceae species. Wheat (Triticum aestivum) had a higher retention rate of NOGs than maize (Zea mays) and rice (Oryza sativa), and the retained NOGs were likely involved in photosynthesis and translation pathways. Large numbers of NOG clusters were aggregated in hexaploid wheat during 2 rounds of polyploidization, contributing to the genetic diversity among modern wheat accessions. We implemented an interactive web server to facilitate the exploration of NOGs in Poaceae. In summary, this study provides resources and insights into the roles of IGTs in shaping interspecies and intraspecies genome variation and driving plant genome evolution.
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Affiliation(s)
- Yongming Chen
- Frontiers Science Center for Molecular Design Breeding, Key Laboratory of Crop Heterosis and Utilization, Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing 100193, China
| | - Yiwen Guo
- Frontiers Science Center for Molecular Design Breeding, Key Laboratory of Crop Heterosis and Utilization, Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing 100193, China
| | - Xiaoming Xie
- Frontiers Science Center for Molecular Design Breeding, Key Laboratory of Crop Heterosis and Utilization, Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing 100193, China
| | - Zihao Wang
- Frontiers Science Center for Molecular Design Breeding, Key Laboratory of Crop Heterosis and Utilization, Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing 100193, China
| | - Lingfeng Miao
- Frontiers Science Center for Molecular Design Breeding, Key Laboratory of Crop Heterosis and Utilization, Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing 100193, China
| | - Zhengzhao Yang
- Frontiers Science Center for Molecular Design Breeding, Key Laboratory of Crop Heterosis and Utilization, Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing 100193, China
| | - Yuannian Jiao
- State Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Chaojie Xie
- Frontiers Science Center for Molecular Design Breeding, Key Laboratory of Crop Heterosis and Utilization, Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing 100193, China
| | - Jie Liu
- Frontiers Science Center for Molecular Design Breeding, Key Laboratory of Crop Heterosis and Utilization, Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing 100193, China
| | - Zhaorong Hu
- Frontiers Science Center for Molecular Design Breeding, Key Laboratory of Crop Heterosis and Utilization, Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing 100193, China
| | - Mingming Xin
- Frontiers Science Center for Molecular Design Breeding, Key Laboratory of Crop Heterosis and Utilization, Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing 100193, China
| | - Yingyin Yao
- Frontiers Science Center for Molecular Design Breeding, Key Laboratory of Crop Heterosis and Utilization, Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing 100193, China
| | - Zhongfu Ni
- Frontiers Science Center for Molecular Design Breeding, Key Laboratory of Crop Heterosis and Utilization, Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing 100193, China
| | - Qixin Sun
- Frontiers Science Center for Molecular Design Breeding, Key Laboratory of Crop Heterosis and Utilization, Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing 100193, China
| | - Huiru Peng
- Frontiers Science Center for Molecular Design Breeding, Key Laboratory of Crop Heterosis and Utilization, Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing 100193, China
| | - Weilong Guo
- Frontiers Science Center for Molecular Design Breeding, Key Laboratory of Crop Heterosis and Utilization, Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing 100193, China
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Shoormij F, Mirlohi A, Chan-Rodriguez D, Bolibok-Brągoszewska H, Saeidi G. Characterization of 14 Triticum species for the NAM-B1 gene and its associated traits. PLoS One 2023; 18:e0287798. [PMID: 37607184 PMCID: PMC10443865 DOI: 10.1371/journal.pone.0287798] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2023] [Accepted: 06/13/2023] [Indexed: 08/24/2023] Open
Abstract
BACKGROUND Wheat grain protein, zinc (Zn), and iron (Fe) content are important wheat qualities crucial for human nutrition and health worldwide. Increasing these three components simultaneously in wheat grains by a single gene came into the picture through NAM-B1 cloning. NAM-B1 gene and its association with the mentioned grain quality traits have been primarily studied in common and durum wheat and their progenitors T. dicoccum and T. dicoccoides. METHOD In the present study, for the first time, 38 wheat accessions comprising ten hexaploids from five species and 28 tetraploids from nine species were evaluated in the field for two consecutive years. Additionally, the 582 first nucleotides of the NAM-B1 gene were examined. RESULT The NAM-B1 gene was present in 21 tetraploids and five hexaploid accessions. Seven tetraploid accessions contained the wild-type allele (five T. dicoccum, one T. dicoccoides, and one T. ispahanicum) and fourteen the mutated allele with a 'T' insertion at position 11 in the open reading frame, causing a frameshift. In hexaploid wheat comprising the gene, only one accession of T. spelta contained the wild-type allele, and the rest resembled the insertion mutated type. In the two-year field experiment, eight accessions with the wild-type NAM-B1 allele had significantly higher protein, Zn and Fe grain content when compared to indel-type accessions. Additionally, these accessions exhibited a lower mean for seed-filling duration than all other accessions containing indel-type alleles. In terms of grain yield, 1,000-kernel weight, kernel diameter, and kernel length, T. dicoccum accessions having wild-type alleles were similar to the indel-type accessions over two years of evaluation. CONCLUSION These findings further support the possibility of simultaneous improvement of wheat grain protein, Zn, and Fe content by a single gene crucial for human nutrition and health worldwide.
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Affiliation(s)
- Fatemeh Shoormij
- Department of Agronomy and Plant Breeding, College of Agriculture, Isfahan University of Technology, Isfahan, Iran
| | - Aghafakhr Mirlohi
- Department of Agronomy and Plant Breeding, College of Agriculture, Isfahan University of Technology, Isfahan, Iran
| | - David Chan-Rodriguez
- Department of Plant Genetics, Breeding and Biotechnology, Institute of Biology, Warsaw University of Life Sciences-SGGW, Warsaw, Poland
| | - Hanna Bolibok-Brągoszewska
- Department of Plant Genetics, Breeding and Biotechnology, Institute of Biology, Warsaw University of Life Sciences-SGGW, Warsaw, Poland
| | - Ghodratollah Saeidi
- Department of Agronomy and Plant Breeding, College of Agriculture, Isfahan University of Technology, Isfahan, Iran
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Chen C, Han Y, Xiao H, Zou B, Wu D, Sha L, Yang C, Liu S, Cheng Y, Wang Y, Kang H, Fan X, Zhou Y, Zhang T, Zhang H. Chromosome-specific painting in Thinopyrum species using bulked oligonucleotides. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2023; 136:177. [PMID: 37540294 DOI: 10.1007/s00122-023-04423-w] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/21/2023] [Accepted: 07/24/2023] [Indexed: 08/05/2023]
Abstract
Chromosome-specific painting probes were developed to identify the individual chromosomes from 1 to 7E in Thinopyrum species and detect alien genetic material of the E genome in a wheat background. The E genome of Thinopyrum is closely related to the ABD genome of wheat (Triticum aestivum L.) and harbors genes conferring beneficial traits to wheat, including high yield, disease resistance, and unique end-use quality. Species of Thinopyrum vary from diploid (2n = 2x = 14) to decaploid (2n = 10x = 70), and chromosome structural variation and differentiation have arisen during polyploidization. To investigate the variation and evolution of the E genome, we developed a complete set of E genome-specific painting probes for identification of the individual chromosomes 1E to 7E based on the genome sequences of Th. elongatum (Host) D. R. Dewey and wheat. By using these new probes in oligonucleotide-based chromosome painting, we showed that Th. bessarabicum (PI 531711, EbEb) has a close genetic relationship with diploid Th. elongatum (EeEe), with five chromosomes (1E, 2E, 3E, 6E, and 7E) maintaining complete synteny in the two species except for a reciprocal translocation between 4 and 5Eb. All 14 pairs of chromosomes of tetraploid Th. elongatum have maintained complete synteny with those of diploid Th. elongatum (Thy14), but the two sets of E genomes have diverged. This study also demonstrated that the E genome-specific painting probes are useful for rapid and effective detection of the alien genetic material of E genome in wheat-Thinopyrum derived lines.
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Affiliation(s)
- Chen Chen
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Sichuan Agricultural University, Chengdu, 611130, Sichuan, China
- Triticeae Research Institute, Sichuan Agricultural University, Chengdu, 611130, Sichuan, China
| | - Yangshuo Han
- Jiangsu Key Laboratory of Crop Genomics and Molecular Breeding/Jiangsu Co-Innovation Center for Modern Production Technology of Grain Crops, Agricultural College of Yangzhou University, Yangzhou, 225009, China
| | - He Xiao
- Triticeae Research Institute, Sichuan Agricultural University, Chengdu, 611130, Sichuan, China
| | - Bingcan Zou
- Triticeae Research Institute, Sichuan Agricultural University, Chengdu, 611130, Sichuan, China
| | - Dandan Wu
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Sichuan Agricultural University, Chengdu, 611130, Sichuan, China
- Triticeae Research Institute, Sichuan Agricultural University, Chengdu, 611130, Sichuan, China
| | - Lina Sha
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Sichuan Agricultural University, Chengdu, 611130, Sichuan, China
- College of Grassland Science and Technology, Sichuan Agricultural University, Chengdu, 611130, Sichuan, China
| | - Cairong Yang
- College of Chemistry and Life Sciences, Chengdu Normal University, Chengdu, 611130, Sichuan, China
| | - Songqing Liu
- College of Chemistry and Life Sciences, Chengdu Normal University, Chengdu, 611130, Sichuan, China
| | - Yiran Cheng
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Sichuan Agricultural University, Chengdu, 611130, Sichuan, China
| | - Yi Wang
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Sichuan Agricultural University, Chengdu, 611130, Sichuan, China
- Triticeae Research Institute, Sichuan Agricultural University, Chengdu, 611130, Sichuan, China
| | - Houyang Kang
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Sichuan Agricultural University, Chengdu, 611130, Sichuan, China
- Triticeae Research Institute, Sichuan Agricultural University, Chengdu, 611130, Sichuan, China
| | - Xing Fan
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Sichuan Agricultural University, Chengdu, 611130, Sichuan, China
- Triticeae Research Institute, Sichuan Agricultural University, Chengdu, 611130, Sichuan, China
| | - Yonghong Zhou
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Sichuan Agricultural University, Chengdu, 611130, Sichuan, China
- Triticeae Research Institute, Sichuan Agricultural University, Chengdu, 611130, Sichuan, China
| | - Tao Zhang
- Jiangsu Key Laboratory of Crop Genomics and Molecular Breeding/Jiangsu Co-Innovation Center for Modern Production Technology of Grain Crops, Agricultural College of Yangzhou University, Yangzhou, 225009, China.
| | - Haiqin Zhang
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Sichuan Agricultural University, Chengdu, 611130, Sichuan, China.
- College of Grassland Science and Technology, Sichuan Agricultural University, Chengdu, 611130, Sichuan, China.
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Dai F, Zhuo X, Luo G, Wang Z, Xu Y, Wang D, Zhong J, Lin S, Chen L, Li Z, Wang Y, Zhang D, Li Y, Zheng Q, Zheng T, Liu Z, Wang L, Zhang Z, Tang C. Genomic Resequencing Unravels the Genetic Basis of Domestication, Expansion, and Trait Improvement in Morus Atropurpurea. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2023; 10:e2300039. [PMID: 37339798 PMCID: PMC10460887 DOI: 10.1002/advs.202300039] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/03/2023] [Revised: 05/28/2023] [Indexed: 06/22/2023]
Abstract
Mulberry is an economically important plant in the sericulture industry and traditional medicine. However, the genetic and evolutionary history of mulberry remains largely unknown. Here, this work presents the chromosome-level genome assembly of Morus atropurpurea (M. atropurpurea), originating from south China. Population genomic analysis using 425 mulberry accessions reveal that cultivated mulberry is classified into two species, M. atropurpurea and M. alba, which may have originated from two different mulberry progenitors and have independent and parallel domestication in north and south China, respectively. Extensive gene flow is revealed between different mulberry populations, contributing to genetic diversity in modern hybrid cultivars. This work also identifies the genetic architecture of the flowering time and leaf size. In addition, the genomic structure and evolution of sex-determining regions are identified. This study significantly advances the understanding of the genetic basis and domestication history of mulberry in the north and south, and provides valuable molecular markers of desirable traits for mulberry breeding.
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Affiliation(s)
- Fanwei Dai
- Sericultural & Agri‐Food Research Institute Guangdong Academy of Agricultural Sciences/Key Laboratory of Functional FoodsMinistry of Agriculture and Rural Affairs/Guangdong Key Laboratory of Agricultural Products ProcessingGuangzhou510610P. R. China
- Key Laboratory of Urban Agriculture in South ChinaMinistry of Agriculture and Rural AffairsGuangzhou510610P. R. China
| | - Xiaokang Zhuo
- College of HorticultureFujian Agriculture and Forestry UniversityFuzhou350002P. R. China
- National Engineering Research Center for FloricultureBeijing Forestry UniversityBeijing100083P. R. China
| | - Guoqing Luo
- Sericultural & Agri‐Food Research Institute Guangdong Academy of Agricultural Sciences/Key Laboratory of Functional FoodsMinistry of Agriculture and Rural Affairs/Guangdong Key Laboratory of Agricultural Products ProcessingGuangzhou510610P. R. China
- Key Laboratory of Urban Agriculture in South ChinaMinistry of Agriculture and Rural AffairsGuangzhou510610P. R. China
| | - Zhenjiang Wang
- Sericultural & Agri‐Food Research Institute Guangdong Academy of Agricultural Sciences/Key Laboratory of Functional FoodsMinistry of Agriculture and Rural Affairs/Guangdong Key Laboratory of Agricultural Products ProcessingGuangzhou510610P. R. China
- Key Laboratory of Urban Agriculture in South ChinaMinistry of Agriculture and Rural AffairsGuangzhou510610P. R. China
| | - Yujuan Xu
- Sericultural & Agri‐Food Research Institute Guangdong Academy of Agricultural Sciences/Key Laboratory of Functional FoodsMinistry of Agriculture and Rural Affairs/Guangdong Key Laboratory of Agricultural Products ProcessingGuangzhou510610P. R. China
| | - Dan Wang
- Sericultural & Agri‐Food Research Institute Guangdong Academy of Agricultural Sciences/Key Laboratory of Functional FoodsMinistry of Agriculture and Rural Affairs/Guangdong Key Laboratory of Agricultural Products ProcessingGuangzhou510610P. R. China
| | - Jianwu Zhong
- Sericultural & Agri‐Food Research Institute Guangdong Academy of Agricultural Sciences/Key Laboratory of Functional FoodsMinistry of Agriculture and Rural Affairs/Guangdong Key Laboratory of Agricultural Products ProcessingGuangzhou510610P. R. China
| | - Sen Lin
- Sericultural & Agri‐Food Research Institute Guangdong Academy of Agricultural Sciences/Key Laboratory of Functional FoodsMinistry of Agriculture and Rural Affairs/Guangdong Key Laboratory of Agricultural Products ProcessingGuangzhou510610P. R. China
| | - Lian Chen
- Sericultural & Agri‐Food Research Institute Guangdong Academy of Agricultural Sciences/Key Laboratory of Functional FoodsMinistry of Agriculture and Rural Affairs/Guangdong Key Laboratory of Agricultural Products ProcessingGuangzhou510610P. R. China
| | - Zhiyi Li
- Sericultural & Agri‐Food Research Institute Guangdong Academy of Agricultural Sciences/Key Laboratory of Functional FoodsMinistry of Agriculture and Rural Affairs/Guangdong Key Laboratory of Agricultural Products ProcessingGuangzhou510610P. R. China
| | - Yuan Wang
- Sericultural & Agri‐Food Research Institute Guangdong Academy of Agricultural Sciences/Key Laboratory of Functional FoodsMinistry of Agriculture and Rural Affairs/Guangdong Key Laboratory of Agricultural Products ProcessingGuangzhou510610P. R. China
| | - Diyang Zhang
- Key Laboratory of National Forestry and Grassland Administration for Orchid Conservation and Utilization at College of Landscape ArchitectureFujian Agriculture and Forestry UniversityFuzhou350002P. R. China
| | - Yuanyuan Li
- Key Laboratory of National Forestry and Grassland Administration for Orchid Conservation and Utilization at College of Landscape ArchitectureFujian Agriculture and Forestry UniversityFuzhou350002P. R. China
| | - Qinyao Zheng
- Key Laboratory of National Forestry and Grassland Administration for Orchid Conservation and Utilization at College of Landscape ArchitectureFujian Agriculture and Forestry UniversityFuzhou350002P. R. China
| | - Tangchun Zheng
- National Engineering Research Center for FloricultureBeijing Forestry UniversityBeijing100083P. R. China
| | - Zhong‐Jian Liu
- Key Laboratory of National Forestry and Grassland Administration for Orchid Conservation and Utilization at College of Landscape ArchitectureFujian Agriculture and Forestry UniversityFuzhou350002P. R. China
| | - Li Wang
- Shenzhen BranchGuangdong Laboratory of Lingnan Modern AgricultureGenome Analysis Laboratory of the Ministry of Agriculture and Rural AffairsAgricultural Genomics Institute at ShenzhenChinese Academy of Agricultural SciencesShenzhen518120P. R. China
- Kunpeng Institute of Modern Agriculture at FoshanChinese Academy of Agricultural SciencesFoshan528225P. R. China
| | - Zhiyong Zhang
- Beijing Advanced Innovation Center for Tree Breeding by Molecular DesignBeijing University of AgricultureBeijing102206P. R. China
| | - Cuiming Tang
- Sericultural & Agri‐Food Research Institute Guangdong Academy of Agricultural Sciences/Key Laboratory of Functional FoodsMinistry of Agriculture and Rural Affairs/Guangdong Key Laboratory of Agricultural Products ProcessingGuangzhou510610P. R. China
- Key Laboratory of Urban Agriculture in South ChinaMinistry of Agriculture and Rural AffairsGuangzhou510610P. R. China
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Emebiri L, Hildebrand S. Natural variation and genetic loci underlying resistance to grain shattering in standing crop of modern wheat. Mol Genet Genomics 2023:10.1007/s00438-023-02051-z. [PMID: 37410105 PMCID: PMC10363068 DOI: 10.1007/s00438-023-02051-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2023] [Accepted: 06/25/2023] [Indexed: 07/07/2023]
Abstract
Modern wheat (Triticum aestivum L.) cultivars have a free-threshing habit, which allows for easy manual or mechanical threshing. However, when harvesting is delayed or extreme weather events occur at harvest time, grain shattering can cause severe loss of harvestable yield. In the past, grain size was considered a predisposing factor as large, plump kernels can lead to buckling and breaking of the outer glume, but the correlation between glume strength and shattering is not strong in modern wheat, and it is hypothesised that there may be other genetic mechanisms. Data from two bi-parent populations and a wheat diversity panel were analyzed to explore the underlying genetic basis for grain shattering observed in multiple field experiments through quantitative trait loci (QTL) analysis. Grain shattering had a significant and negative association with grain yield, irrespective of populations and environments. The correlation with plant height was positive in all populations, but correlations with phenology were population specific, being negative in the diversity panel and the Drysdale × Waagan population, and positive in the Crusader × RT812 population. In the wheat diversity panel, allelic variations at well-known major genes (Rht-B1, Rht-D1 and Ppd-D1) showed minimal association with grain shattering. Instead, the genome-wide analysis identified a single locus on chromosome 2DS, which explained 50% of the phenotypic variation, and mapping to ~ 10 Mb from Tenacious glume (Tg) gene. In the Drysdale × Waagan cross, however, the reduced height (Rht) genes showed major effects on grain shattering. At the Rht-B1 locus, the Rht-B1b allele was associated with 10.4 cm shorter plant height, and 18% decreased grain shattering, whereas Rht-D1b reduced plant height by 11.4 cm and reduced grain shattering by 20%. Ten QTL were detected in the Crusader × RT812, including a major locus detected on the long arm of chromosome 5A. All the QTL identified in this population were non-pleiotropic, as they were still significant even after removing the influence of plant height. In conclusion, these results indicated a complex genetic system for grain shattering in modern wheat, which varied with genetic background, involved pleiotropic as well as independent gene actions, and which might be different from shattering in wild wheat species caused by major domestication genes. The influence of Rht genes was confirmed, and this provides valuable information in breeding crops of the future. Further, the SNP marker close to Tg on chromosome 2DS should be considered for utility in marker-assisted selection.
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Affiliation(s)
- Livinus Emebiri
- NSW Department of Primary Industries, Wagga Wagga Agricultural Institute, Wagga Wagga, NSW, 2650, Australia.
| | - Shane Hildebrand
- NSW Department of Primary Industries, Wagga Wagga Agricultural Institute, Wagga Wagga, NSW, 2650, Australia
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Klindworth DL, Salsman E, Underdahl J, Elias EM, Green AJ, Dykes L, Faris JD, Xu SS. Linkage drag analysis in three Aegilops speltoides introgressions carrying Sr47 in modern durum and hard red spring wheat germplasm. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2023; 136:168. [PMID: 37410182 DOI: 10.1007/s00122-023-04409-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/02/2023] [Accepted: 06/22/2023] [Indexed: 07/07/2023]
Abstract
KEY MESSAGE Yield and quality tests of wheat lines derived from RWG35 show they carry little, or no linkage drag and are the preferred source of Sr47 for stem rust resistance. Three durum wheat (Triticum turgidum L. subsp. durum) lines, RWG35, RWG36, and RWG37 carrying slightly different Aegilops speltoides introgressions, but each carrying the Sr47 stem rust resistance gene, were backcrossed to three durum and three hard red spring (HRS) wheat (Triticum aestivum L.) cultivars to produce 18 backcross populations. Each population was backcrossed to the recurrent parent six times and prepared for yield trials to test for linkage drag. Lines carrying the introgression (S-lines) were compared to euploid sibling lines (W-lines) and their parent. Yield trials were conducted from 2018 to 2021 at three locations. Three agronomic and several quality traits were studied. In durum, lines derived from RWG35 had little or no linkage drag. Lines derived from RWG36 and RWG37 still retained linkage drag, most notably involving yield and thousand kernel weight, but also test weight, falling number, kernel hardness index, semolina extract, semolina protein content, semolina brightness, and peak height. In HRS wheat, the results were more complex, though the general result of RWG35 lines having little or no linkage drag and RWG36 and RWG37 lines retaining linkage drag still applied. But there was heterogeneity in the Glenn35S lines, and Linkert lines had problems combining with the Ae. speltoides introgressions. We concluded that introgressions derived from RWG35 either had eliminated linkage drag or any negative effects were minor in nature. We recommend that breeders who wish to incorporate Sr47 into their cultivars should work exclusively with germplasm derived from RWG35.
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Affiliation(s)
- Daryl L Klindworth
- USDA-ARS, Cereal Crops Research Unit, Edward T. Schafer Agricultural Research Centre, 1616 Albrecht Blvd, Fargo, ND, 58102-2765, USA
| | - Evan Salsman
- Department of Plant Sciences, North Dakota State University, Dep. 7670, P.O. Box 6050, Fargo, ND, 58108, USA
| | - Jesse Underdahl
- Department of Plant Sciences, North Dakota State University, Dep. 7670, P.O. Box 6050, Fargo, ND, 58108, USA
| | - Elias M Elias
- Department of Plant Sciences, North Dakota State University, Dep. 7670, P.O. Box 6050, Fargo, ND, 58108, USA
| | - Andrew J Green
- Department of Plant Sciences, North Dakota State University, Dep. 7670, P.O. Box 6050, Fargo, ND, 58108, USA
| | - Linda Dykes
- USDA-ARS, Cereal Crops Research Unit, Edward T. Schafer Agricultural Research Centre, 1616 Albrecht Blvd, Fargo, ND, 58102-2765, USA
| | - Justin D Faris
- USDA-ARS, Cereal Crops Research Unit, Edward T. Schafer Agricultural Research Centre, 1616 Albrecht Blvd, Fargo, ND, 58102-2765, USA
| | - Steven S Xu
- USDA-ARS, Crop Improvement and Genetics Research Unit, Western Regional Research Center, 800 Buchanan Street, Albany, CA, 94710, USA.
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Ning S, Li S, Xu K, Liu D, Ma L, Ma C, Hao M, Zhang L, Chen W, Zhang B, Jiang Y, Huang L, Chen X, Jiang B, Yuan Z, Liu D. Development and Characterization of Near-Isogenic Lines Derived from Synthetic Wheat Revealing the 2 kb Insertion in the PPD-D1 Gene Responsible for Heading Delay and Grain Number Improvement. Int J Mol Sci 2023; 24:10834. [PMID: 37446014 DOI: 10.3390/ijms241310834] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2023] [Revised: 06/24/2023] [Accepted: 06/26/2023] [Indexed: 07/15/2023] Open
Abstract
Spikelet number and grain number per spike are two crucial and correlated traits for grain yield in wheat. Photoperiod-1 (Ppd-1) is a key regulator of inflorescence architecture and spikelet formation in wheat. In this study, near-isogenic lines derived from the cross of a synthetic hexaploid wheat and commercial cultivars generated by double top-cross and two-phase selection were evaluated for the number of days to heading and other agronomic traits. The results showed that heading time segregation was conferred by a single incomplete dominant gene PPD-D1, and the 2 kb insertion in the promoter region was responsible for the delay in heading. Meanwhile, slightly delayed heading plants and later heading plants obviously have advantages in grain number and spikelet number of the main spike compared with early heading plants. Utilization of PPD-D1 photoperiod sensitivity phenotype as a potential means to increase wheat yield potential.
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Affiliation(s)
- Shunzong Ning
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Sichuan Agricultural University, Chengdu 611130, China
- Triticeae Research Institute, Sichuan Agricultural University, Chengdu 611130, China
| | - Shengke Li
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Sichuan Agricultural University, Chengdu 611130, China
- Triticeae Research Institute, Sichuan Agricultural University, Chengdu 611130, China
| | - Kai Xu
- Triticeae Research Institute, Sichuan Agricultural University, Chengdu 611130, China
| | - Dongmei Liu
- Triticeae Research Institute, Sichuan Agricultural University, Chengdu 611130, China
| | - Li Ma
- Triticeae Research Institute, Sichuan Agricultural University, Chengdu 611130, China
| | - Chunfang Ma
- Triticeae Research Institute, Sichuan Agricultural University, Chengdu 611130, China
| | - Ming Hao
- Triticeae Research Institute, Sichuan Agricultural University, Chengdu 611130, China
| | - Lianquan Zhang
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Sichuan Agricultural University, Chengdu 611130, China
- Triticeae Research Institute, Sichuan Agricultural University, Chengdu 611130, China
| | - Wenjie Chen
- Key Laboratory of Adaptation and Evolution of Plateau Biota, Northwest Institute of Plateau Biology, Chinese Academy of Sciences, Xining 810008, China
| | - Bo Zhang
- Key Laboratory of Adaptation and Evolution of Plateau Biota, Northwest Institute of Plateau Biology, Chinese Academy of Sciences, Xining 810008, China
| | - Yun Jiang
- Biotechnology and Nuclear Technology Research Institute, Sichuan Academy of Agricultural Sciences, Chengdu 610061, China
| | - Lin Huang
- Triticeae Research Institute, Sichuan Agricultural University, Chengdu 611130, China
| | - Xuejiao Chen
- Triticeae Research Institute, Sichuan Agricultural University, Chengdu 611130, China
| | - Bo Jiang
- Triticeae Research Institute, Sichuan Agricultural University, Chengdu 611130, China
| | - Zhongwei Yuan
- Triticeae Research Institute, Sichuan Agricultural University, Chengdu 611130, China
| | - Dengcai Liu
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Sichuan Agricultural University, Chengdu 611130, China
- Triticeae Research Institute, Sichuan Agricultural University, Chengdu 611130, China
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Cabral AL, Ruan Y, Cuthbert RD, Li L, Zhang W, Boyle K, Berraies S, Henriquez MA, Burt A, Kumar S, Fobert P, Piche I, Bokore FE, Meyer B, Sangha J, Knox RE. Multi-locus genome-wide association study of fusarium head blight in relation to days to anthesis and plant height in a spring wheat association panel. FRONTIERS IN PLANT SCIENCE 2023; 14:1166282. [PMID: 37457352 PMCID: PMC10346453 DOI: 10.3389/fpls.2023.1166282] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/15/2023] [Accepted: 05/03/2023] [Indexed: 07/18/2023]
Abstract
Fusarium head blight (FHB) is a highly destructive fungal disease of wheat to which host resistance is quantitatively inherited and largely influenced by the environment. Resistance to FHB has been associated with taller height and later maturity; however, a further understanding of these relationships is needed. An association mapping panel (AMP) of 192 predominantly Canadian spring wheat was genotyped with the wheat 90K single-nucleotide polymorphism (SNP) array. The AMP was assessed for FHB incidence (INC), severity (SEV) and index (IND), days to anthesis (DTA), and plant height (PLHT) between 2015 and 2017 at three Canadian FHB-inoculated nurseries. Seven multi-environment trial (MET) datasets were deployed in a genome-wide association study (GWAS) using a single-locus mixed linear model (MLM) and a multi-locus random SNP-effect mixed linear model (mrMLM). MLM detected four quantitative trait nucleotides (QTNs) for INC on chromosomes 2D and 3D and for SEV and IND on chromosome 3B. Further, mrMLM identified 291 QTNs: 50 (INC), 72 (SEV), 90 (IND), 41 (DTA), and 38 (PLHT). At two or more environments, 17 QTNs for FHB, DTA, and PLHT were detected. Of these 17, 12 QTNs were pleiotropic for FHB traits, DTA, and PLHT on chromosomes 1A, 1D, 2D, 3B, 5A, 6B, 7A, and 7B; two QTNs for DTA were detected on chromosomes 1B and 7A; and three PLHT QTNs were located on chromosomes 4B and 6B. The 1B DTA QTN and the three pleiotropic QTNs on chromosomes 1A, 3B, and 6B are potentially identical to corresponding quantitative trait loci (QTLs) in durum wheat. Further, the 3B pleiotropic QTN for FHB INC, SEV, and IND co-locates with TraesCS3B02G024900 within the Fhb1 region on chromosome 3B and is ~3 Mb from a cloned Fhb1 candidate gene TaHRC. While the PLHT QTN on chromosome 6B is putatively novel, the 1B DTA QTN co-locates with a disease resistance protein located ~10 Mb from a Flowering Locus T1-like gene TaFT3-B1, and the 7A DTA QTN is ~5 Mb away from a maturity QTL QMat.dms-7A.3 of another study. GWAS and QTN candidate genes enabled the characterization of FHB resistance in relation to DTA and PLHT. This approach should eventually generate additional and reliable trait-specific markers for breeding selection, in addition to providing useful information for FHB trait discovery.
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Affiliation(s)
- Adrian L. Cabral
- Swift Current Research and Development Centre, Agriculture and Agri-Food Canada, Swift Current, SK, Canada
| | - Yuefeng Ruan
- Swift Current Research and Development Centre, Agriculture and Agri-Food Canada, Swift Current, SK, Canada
| | - Richard D. Cuthbert
- Swift Current Research and Development Centre, Agriculture and Agri-Food Canada, Swift Current, SK, Canada
| | - Lin Li
- Swift Current Research and Development Centre, Agriculture and Agri-Food Canada, Swift Current, SK, Canada
| | - Wentao Zhang
- Aquatic and Crop Resource Development Research Centre, National Research Council of Canada, Saskatoon, SK, Canada
| | - Kerry Boyle
- Aquatic and Crop Resource Development Research Centre, National Research Council of Canada, Saskatoon, SK, Canada
| | - Samia Berraies
- Swift Current Research and Development Centre, Agriculture and Agri-Food Canada, Swift Current, SK, Canada
| | - Maria Antonia Henriquez
- Morden Research and Development Centre, Agriculture and Agri-Food Canada, Morden, MB, Canada
| | - Andrew Burt
- Ottawa Research and Development Centre, Agriculture and Agri-Food Canada, Ottawa, ON, Canada
| | - Santosh Kumar
- Brandon Research and Development Centre, Agriculture and Agri-Food Canada, Brandon, MB, Canada
| | - Pierre Fobert
- Aquatic and Crop Resource Development Research Centre, National Research Council of Canada, Ottawa, ON, Canada
| | - Isabelle Piche
- Swift Current Research and Development Centre, Agriculture and Agri-Food Canada, Swift Current, SK, Canada
| | - Firdissa E. Bokore
- Swift Current Research and Development Centre, Agriculture and Agri-Food Canada, Swift Current, SK, Canada
| | - Brad Meyer
- Swift Current Research and Development Centre, Agriculture and Agri-Food Canada, Swift Current, SK, Canada
| | - Jatinder Sangha
- Swift Current Research and Development Centre, Agriculture and Agri-Food Canada, Swift Current, SK, Canada
| | - Ron E. Knox
- Swift Current Research and Development Centre, Agriculture and Agri-Food Canada, Swift Current, SK, Canada
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Xie D, Hao M, Zhao L, Chen X, Chen X, Jiang B, Ning S, Yuan Z, Zhang L, Shu K, Zhang Y, Liu D, Wu P. Transcriptomic analysis provides insight into the genetic regulation of shade avoidance in Aegilops tauschii. BMC PLANT BIOLOGY 2023; 23:336. [PMID: 37353759 DOI: 10.1186/s12870-023-04348-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/11/2022] [Accepted: 06/14/2023] [Indexed: 06/25/2023]
Abstract
BACKGROUND Weeds are not only economically important but also fascinating models for studying the adaptation of species in human-mediated environments. Aegilops tauschii is the D-genome donor species of common wheat but is also a weed that influences wheat production. How shading stress caused by adjacent wheat plants affects Ae. tauschii growth is a fundamental scientific question but is also important in agriculture, such as for weed control and wheat breeding. RESULT The present study indicated that shade avoidance is a strategy of Ae. tauschii in response to shading stress. Ae. tauschii plants exhibited growth increases in specific organs, such as stem and leaf elongation, to avoid shading. However, these changes were accompanied by sacrificing the growth of other parts of the plants, such as a reduction in tiller number. The two reverse phenotype responses seem to be formed by systemically regulating the expression of different genes. Fifty-six genes involved in the regulation of cell division and cell expansion were found to be downregulated, and one key upstream negative regulator (RPK2) of cell division was upregulated under shading stress. On the other hand, the upregulated genes under shading stress were mainly enriched in protein serine/threonine kinase activity and carbon metabolism, which are associated with cell enlargement, signal transduction and energy supply. The transcription factor WRKY72 may be important in regulating genes in response to shading stress, which can be used as a prior candidate gene for further study on the genetic regulation of shade avoidance. CONCLUSIONS This study sheds new light on the gene expression changes and molecular processes involved in the response and avoidance of Ae. tauschii to shading stress, which may aid more effective development of shading stress avoidance or cultivars in wheat and other crops in the future.
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Affiliation(s)
- Die Xie
- Triticeae Research Institute, Sichuan Agricultural University at Chengdu, Wenjiang, 611130, Sichuan, China
| | - Ming Hao
- Triticeae Research Institute, Sichuan Agricultural University at Chengdu, Wenjiang, 611130, Sichuan, China
| | - Laibin Zhao
- Henan Provincial Key Laboratory of Hybrid Wheat, School of Life Science and Technology, Henan Institute of Science and Technology, Xinxiang, 453003, China
| | - Xue Chen
- Triticeae Research Institute, Sichuan Agricultural University at Chengdu, Wenjiang, 611130, Sichuan, China
| | - Xuejiao Chen
- Triticeae Research Institute, Sichuan Agricultural University at Chengdu, Wenjiang, 611130, Sichuan, China
| | - Bo Jiang
- Triticeae Research Institute, Sichuan Agricultural University at Chengdu, Wenjiang, 611130, Sichuan, China
| | - Shunzong Ning
- Triticeae Research Institute, Sichuan Agricultural University at Chengdu, Wenjiang, 611130, Sichuan, China
| | - Zhongwei Yuan
- Triticeae Research Institute, Sichuan Agricultural University at Chengdu, Wenjiang, 611130, Sichuan, China
| | - Lianquan Zhang
- Triticeae Research Institute, Sichuan Agricultural University at Chengdu, Wenjiang, 611130, Sichuan, China
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Sichuan Agricultural University at Chengdu, Wenjiang, 611130, Sichuan, China
| | - Kai Shu
- School of Ecology and Environment, Northwestern Polytechnical University, Xi'an, 710012, China
| | - Yijing Zhang
- State Key Laboratory of Genetic Engineering, Collaborative Innovation Center of Genetics and Development, Department of Biochemistry, Institute of Plant Biology, School of Life Sciences, Fudan University, Shanghai, 200438, China
| | - Dengcai Liu
- Triticeae Research Institute, Sichuan Agricultural University at Chengdu, Wenjiang, 611130, Sichuan, China.
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, Sichuan Agricultural University at Chengdu, Wenjiang, 611130, Sichuan, China.
| | - Peipei Wu
- Triticeae Research Institute, Sichuan Agricultural University at Chengdu, Wenjiang, 611130, Sichuan, China.
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50
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Kong X, Zhang Y, Wang Z, Bao S, Feng Y, Wang J, Yu Z, Long F, Xiao Z, Hao Y, Gao X, Li Y, Ding Y, Wang J, Lei T, Xu C, Wang J. Two-step model of paleohexaploidy, ancestral genome reshuffling and plasticity of heat shock response in Asteraceae. HORTICULTURE RESEARCH 2023; 10:uhad073. [PMID: 37303613 PMCID: PMC10251138 DOI: 10.1093/hr/uhad073] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/20/2023] [Accepted: 04/10/2023] [Indexed: 06/13/2023]
Abstract
An ancient hexaploidization event in the most but not all Asteraceae plants, may have been responsible for shaping the genomes of many horticultural, ornamental, and medicinal plants that promoting the prosperity of the largest angiosperm family on the earth. However, the duplication process of this hexaploidy, as well as the genomic and phenotypic diversity of extant Asteraceae plants caused by paleogenome reorganization, are still poorly understood. We analyzed 11 genomes from 10 genera in Asteraceae, and redated the Asteraceae common hexaploidization (ACH) event ~70.7-78.6 million years ago (Mya) and the Asteroideae specific tetraploidization (AST) event ~41.6-46.2 Mya. Moreover, we identified the genomic homologies generated from the ACH, AST and speciation events, and constructed a multiple genome alignment framework for Asteraceae. Subsequently, we revealed biased fractionations between the paleopolyploidization produced subgenomes, suggesting the ACH and AST both are allopolyplodization events. Interestingly, the paleochromosome reshuffling traces provided clear evidence for the two-step duplications of ACH event in Asteraceae. Furthermore, we reconstructed ancestral Asteraceae karyotype (AAK) that has 9 paleochromosomes, and revealed a highly flexible reshuffling of Asteraceae paleogenome. Of specific significance, we explored the genetic diversity of Heat Shock Transcription Factors (Hsfs) associated with recursive whole-genome polyploidizations, gene duplications, and paleogenome reshuffling, and revealed that the expansion of Hsfs gene families enable heat shock plasticity during the genome evolution of Asteraceae. Our study provides insights on polyploidy and paleogenome remodeling for the successful establishment of Asteraceae, and is helpful for further communication and exploration of the diversification of plant families and phenotypes.
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Affiliation(s)
| | | | | | | | - Yishan Feng
- Department of Bioinformatics, School of Life Sciences, and Center for Genomics and Computational Biology, North China University of Science and Technology, Tangshan, Hebei 063000, China
| | - Jiaqi Wang
- Department of Bioinformatics, School of Life Sciences, and Center for Genomics and Computational Biology, North China University of Science and Technology, Tangshan, Hebei 063000, China
| | - Zijian Yu
- Department of Bioinformatics, School of Life Sciences, and Center for Genomics and Computational Biology, North China University of Science and Technology, Tangshan, Hebei 063000, China
| | - Feng Long
- Department of Bioinformatics, School of Life Sciences, and Center for Genomics and Computational Biology, North China University of Science and Technology, Tangshan, Hebei 063000, China
| | - Zejia Xiao
- Department of Bioinformatics, School of Life Sciences, and Center for Genomics and Computational Biology, North China University of Science and Technology, Tangshan, Hebei 063000, China
| | - Yanan Hao
- Department of Bioinformatics, School of Life Sciences, and Center for Genomics and Computational Biology, North China University of Science and Technology, Tangshan, Hebei 063000, China
| | - Xintong Gao
- Department of Bioinformatics, School of Life Sciences, and Center for Genomics and Computational Biology, North China University of Science and Technology, Tangshan, Hebei 063000, China
| | - Yinfeng Li
- Department of Bioinformatics, School of Life Sciences, and Center for Genomics and Computational Biology, North China University of Science and Technology, Tangshan, Hebei 063000, China
| | - Yue Ding
- Department of Bioinformatics, School of Life Sciences, and Center for Genomics and Computational Biology, North China University of Science and Technology, Tangshan, Hebei 063000, China
| | - Jianyu Wang
- Department of Bioinformatics, School of Life Sciences, and Center for Genomics and Computational Biology, North China University of Science and Technology, Tangshan, Hebei 063000, China
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