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Ai G, He C, Bi S, Zhou Z, Liu A, Hu X, Liu Y, Jin L, Zhou J, Zhang H, Du D, Chen H, Gong X, Saeed S, Su H, Lan C, Chen W, Li Q, Mao H, Li L, Liu H, Chen D, Kaufmann K, Alazab KF, Yan W. Dissecting the molecular basis of spike traits by integrating gene regulatory networks and genetic variation in wheat. PLANT COMMUNICATIONS 2024; 5:100879. [PMID: 38486454 PMCID: PMC11121755 DOI: 10.1016/j.xplc.2024.100879] [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: 01/31/2024] [Revised: 02/25/2024] [Accepted: 03/11/2024] [Indexed: 04/30/2024]
Abstract
Spike architecture influences both grain weight and grain number per spike, which are the two major components of grain yield in bread wheat (Triticum aestivum L.). However, the complex wheat genome and the influence of various environmental factors pose challenges in mapping the causal genes that affect spike traits. Here, we systematically identified genes involved in spike trait formation by integrating information on genomic variation and gene regulatory networks controlling young spike development in wheat. We identified 170 loci that are responsible for variations in spike length, spikelet number per spike, and grain number per spike through genome-wide association study and meta-QTL analyses. We constructed gene regulatory networks for young inflorescences at the double ridge stage and the floret primordium stage, in which the spikelet meristem and the floret meristem are predominant, respectively, by integrating transcriptome, histone modification, chromatin accessibility, eQTL, and protein-protein interactome data. From these networks, we identified 169 hub genes located in 76 of the 170 QTL regions whose polymorphisms are significantly associated with variation in spike traits. The functions of TaZF-B1, VRT-B2, and TaSPL15-A/D in establishment of wheat spike architecture were verified. This study provides valuable molecular resources for understanding spike traits and demonstrates that combining genetic analysis and developmental regulatory networks is a robust approach for dissection of complex traits.
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Affiliation(s)
- Guo Ai
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan 430070, China; College of Plant Science and Technology, Huazhong Agricultural University, Wuhan 430070, China
| | - Chao He
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan 430070, China; College of Plant Science and Technology, Huazhong Agricultural University, Wuhan 430070, China
| | - Siteng Bi
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan 430070, China; College of Plant Science and Technology, Huazhong Agricultural University, Wuhan 430070, China
| | - Ziru Zhou
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan 430070, China; College of Plant Science and Technology, Huazhong Agricultural University, Wuhan 430070, China
| | - Ankui Liu
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan 430070, China; College of Plant Science and Technology, Huazhong Agricultural University, Wuhan 430070, China
| | - Xin Hu
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan 430070, China; College of Plant Science and Technology, Huazhong Agricultural University, Wuhan 430070, China
| | - Yanyan Liu
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan 430070, China; College of Plant Science and Technology, Huazhong Agricultural University, Wuhan 430070, China
| | - Liujie Jin
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan 430070, China; College of Plant Science and Technology, Huazhong Agricultural University, Wuhan 430070, China
| | - JiaCheng Zhou
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan 430070, China; College of Plant Science and Technology, Huazhong Agricultural University, Wuhan 430070, China
| | - Heping Zhang
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan 430070, China; College of Plant Science and Technology, Huazhong Agricultural University, Wuhan 430070, China
| | - Dengxiang Du
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan 430070, China; College of Plant Science and Technology, Huazhong Agricultural University, Wuhan 430070, China
| | - Hao Chen
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan 430070, China; College of Plant Science and Technology, Huazhong Agricultural University, Wuhan 430070, China
| | - Xin Gong
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan 430070, China; College of Plant Science and Technology, Huazhong Agricultural University, Wuhan 430070, China
| | - Sulaiman Saeed
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan 430070, China; College of Plant Science and Technology, Huazhong Agricultural University, Wuhan 430070, China
| | - Handong Su
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan 430070, China; College of Plant Science and Technology, Huazhong Agricultural University, Wuhan 430070, China
| | - Caixia Lan
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan 430070, China; College of Plant Science and Technology, Huazhong Agricultural University, Wuhan 430070, China
| | - Wei Chen
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan 430070, China; College of Plant Science and Technology, Huazhong Agricultural University, Wuhan 430070, China
| | - Qiang Li
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan 430070, China; College of Plant Science and Technology, Huazhong Agricultural University, Wuhan 430070, China
| | - Hailiang Mao
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan 430070, China; College of Plant Science and Technology, Huazhong Agricultural University, Wuhan 430070, China
| | - Lin Li
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan 430070, China; College of Plant Science and Technology, Huazhong Agricultural University, Wuhan 430070, China; Shenzhen Institute of Nutrition and Health, Huazhong Agricultural University, Wuhan 430070, China; Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome, Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China
| | - Hao Liu
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan 430070, China
| | - Dijun Chen
- State Key Laboratory of Pharmaceutical Biotechnology, School of Life Sciences, Nanjing University, Nanjing 210023, China
| | - Kerstin Kaufmann
- Department for Plant Cell and Molecular Biology, Institute for Biology, Humboldt-Universität Zu Berlin, 10115 Berlin, Germany
| | - Khaled F Alazab
- Plant Research Department, Nuclear Research Center, Egyptian Atomic Energy Authority, Cairo 13759, Egypt
| | - Wenhao Yan
- National Key Laboratory of Crop Genetic Improvement, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan 430070, China; College of Plant Science and Technology, Huazhong Agricultural University, Wuhan 430070, China.
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Liu X, Sukumaran S, Viitanen E, Naik N, Hassan S, Aronsson H. An Accurate Representation of the Number of bZIP Transcription Factors in the Triticum aestivum (Wheat) Genome and the Regulation of Functional Genes during Salt Stress. Curr Issues Mol Biol 2024; 46:4417-4436. [PMID: 38785536 PMCID: PMC11120151 DOI: 10.3390/cimb46050268] [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: 03/15/2024] [Revised: 04/24/2024] [Accepted: 04/28/2024] [Indexed: 05/25/2024] Open
Abstract
Climate change is dramatically increasing the overall area of saline soils around the world, which is increasing by approximately two million hectares each year. Soil salinity decreases crop yields and, thereby, makes farming less profitable, potentially causing increased poverty and hunger in many areas. A solution to this problem is increasing the salt tolerance of crop plants. Transcription factors (TFs) within crop plants represent a key to understanding salt tolerance, as these proteins play important roles in the regulation of functional genes linked to salt stress. The basic leucine zipper (bZIP) TF has a well-documented role in the regulation of salt tolerance. To better understand how bZIP TFs are linked to salt tolerance, we performed a genome-wide analysis in wheat using the Chinese spring wheat genome, which has been assembled by the International Wheat Genome Sequencing Consortium. We identified 89 additional bZIP gene sequences, which brings the total of bZIP gene sequences in wheat to 237. The majority of these 237 sequences included a single bZIP protein domain; however, different combinations of five other domains also exist. The bZIP proteins are divided into ten subfamily groups. Using an in silico analysis, we identified five bZIP genes (ABF2, ABF4, ABI5, EMBP1, and VIP1) that were involved in regulating salt stress. By scrutinizing the binding properties to the 2000 bp upstream region, we identified putative functional genes under the regulation of these TFs. Expression analyses of plant tissue that had been treated with or without 100 mM NaCl revealed variable patterns between the TFs and functional genes. For example, an increased expression of ABF4 was correlated with an increased expression of the corresponding functional genes in both root and shoot tissues, whereas VIP1 downregulation in root tissues strongly decreased the expression of two functional genes. Identifying strategies to sustain the expression of the functional genes described in this study could enhance wheat's salt tolerance.
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Affiliation(s)
- Xin Liu
- Department of Biological and Environmental Sciences, University of Gothenburg, Box 461, 405 30 Gothenburg, Sweden; (X.L.); (S.S.); (E.V.); (N.N.); (S.H.)
- Triticeae Research Institute, Sichuan Agricultural University, Wenjiang 611130, China
| | - Selvakumar Sukumaran
- Department of Biological and Environmental Sciences, University of Gothenburg, Box 461, 405 30 Gothenburg, Sweden; (X.L.); (S.S.); (E.V.); (N.N.); (S.H.)
| | - Esteri Viitanen
- Department of Biological and Environmental Sciences, University of Gothenburg, Box 461, 405 30 Gothenburg, Sweden; (X.L.); (S.S.); (E.V.); (N.N.); (S.H.)
| | - Nupur Naik
- Department of Biological and Environmental Sciences, University of Gothenburg, Box 461, 405 30 Gothenburg, Sweden; (X.L.); (S.S.); (E.V.); (N.N.); (S.H.)
| | - Sameer Hassan
- Department of Biological and Environmental Sciences, University of Gothenburg, Box 461, 405 30 Gothenburg, Sweden; (X.L.); (S.S.); (E.V.); (N.N.); (S.H.)
| | - Henrik Aronsson
- Department of Biological and Environmental Sciences, University of Gothenburg, Box 461, 405 30 Gothenburg, Sweden; (X.L.); (S.S.); (E.V.); (N.N.); (S.H.)
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Chen K, Yang H, Wu D, Peng Y, Lian L, Bai L, Wang L. Weed biology and management in the multi-omics era: Progress and perspectives. PLANT COMMUNICATIONS 2024; 5:100816. [PMID: 38219012 PMCID: PMC11009161 DOI: 10.1016/j.xplc.2024.100816] [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: 09/13/2023] [Revised: 11/20/2023] [Accepted: 01/08/2024] [Indexed: 01/15/2024]
Abstract
Weeds pose a significant threat to crop production, resulting in substantial yield reduction. In addition, they possess robust weedy traits that enable them to survive in extreme environments and evade human control. In recent years, the application of multi-omics biotechnologies has helped to reveal the molecular mechanisms underlying these weedy traits. In this review, we systematically describe diverse applications of multi-omics platforms for characterizing key aspects of weed biology, including the origins of weed species, weed classification, and the underlying genetic and molecular bases of important weedy traits such as crop-weed interactions, adaptability to different environments, photoperiodic flowering responses, and herbicide resistance. In addition, we discuss limitations to the application of multi-omics techniques in weed science, particularly compared with their extensive use in model plants and crops. In this regard, we provide a forward-looking perspective on the future application of multi-omics technologies to weed science research. These powerful tools hold great promise for comprehensively and efficiently unraveling the intricate molecular genetic mechanisms that underlie weedy traits. The resulting advances will facilitate the development of sustainable and highly effective weed management strategies, promoting greener practices in agriculture.
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Affiliation(s)
- Ke Chen
- Key Laboratory of Indica Rice Genetics and Breeding in the Middle and Lower Reaches of Yangtze River Valley, Ministry of Agriculture and Rural Affairs, Hunan Rice Research Institute, Hunan Academy of Agricultural Sciences, Changsha 410125, China; State Key Laboratory of Hybrid Rice, Hunan Academy of Agricultural Sciences, Changsha 410125, China; Longping Branch, College of Biology, Hunan University, Changsha 410125, China; Hunan Weed Science Key Laboratory, Hunan Agricultural Biotechnology Research Institute, Hunan Academy of Agricultural Sciences, Changsha 410125, China
| | - Haona Yang
- State Key Laboratory of Hybrid Rice, Hunan Academy of Agricultural Sciences, Changsha 410125, China; Hunan Weed Science Key Laboratory, Hunan Agricultural Biotechnology Research Institute, Hunan Academy of Agricultural Sciences, Changsha 410125, China
| | - Di Wu
- State Key Laboratory of Hybrid Rice, Hunan Academy of Agricultural Sciences, Changsha 410125, China
| | - Yajun Peng
- State Key Laboratory of Hybrid Rice, Hunan Academy of Agricultural Sciences, Changsha 410125, China; Hunan Weed Science Key Laboratory, Hunan Agricultural Biotechnology Research Institute, Hunan Academy of Agricultural Sciences, Changsha 410125, China
| | - Lei Lian
- Qingdao Kingagroot Compounds Co. Ltd, Qingdao 266000, China
| | - Lianyang Bai
- Key Laboratory of Indica Rice Genetics and Breeding in the Middle and Lower Reaches of Yangtze River Valley, Ministry of Agriculture and Rural Affairs, Hunan Rice Research Institute, Hunan Academy of Agricultural Sciences, Changsha 410125, China; State Key Laboratory of Hybrid Rice, Hunan Academy of Agricultural Sciences, Changsha 410125, China; Longping Branch, College of Biology, Hunan University, Changsha 410125, China; Huangpu Research Institute of Longping Agricultural Science and Technology, Guangzhou 510715, China; Hunan Weed Science Key Laboratory, Hunan Agricultural Biotechnology Research Institute, Hunan Academy of Agricultural Sciences, Changsha 410125, China.
| | - Lifeng Wang
- Key Laboratory of Indica Rice Genetics and Breeding in the Middle and Lower Reaches of Yangtze River Valley, Ministry of Agriculture and Rural Affairs, Hunan Rice Research Institute, Hunan Academy of Agricultural Sciences, Changsha 410125, China; State Key Laboratory of Hybrid Rice, Hunan Academy of Agricultural Sciences, Changsha 410125, China; Longping Branch, College of Biology, Hunan University, Changsha 410125, China; Huangpu Research Institute of Longping Agricultural Science and Technology, Guangzhou 510715, China; Hunan Weed Science Key Laboratory, Hunan Agricultural Biotechnology Research Institute, Hunan Academy of Agricultural Sciences, Changsha 410125, China.
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Li H, Men W, Ma C, Liu Q, Dong Z, Tian X, Wang C, Liu C, Gill HS, Ma P, Zhang Z, Liu B, Zhao Y, Sehgal SK, Liu W. Wheat powdery mildew resistance gene Pm13 encodes a mixed lineage kinase domain-like protein. Nat Commun 2024; 15:2449. [PMID: 38503771 PMCID: PMC10951266 DOI: 10.1038/s41467-024-46814-7] [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: 04/21/2023] [Accepted: 03/11/2024] [Indexed: 03/21/2024] Open
Abstract
Wheat powdery mildew is one of the most destructive diseases threatening global wheat production. The wild relatives of wheat constitute rich sources of diversity for powdery mildew resistance. Here, we report the map-based cloning of the powdery mildew resistance gene Pm13 from the wild wheat species Aegilops longissima. Pm13 encodes a mixed lineage kinase domain-like (MLKL) protein that contains an N-terminal-domain of MLKL (MLKL_NTD) domain in its N-terminus and a C-terminal serine/threonine kinase (STK) domain. The resistance function of Pm13 is validated by mutagenesis, gene silencing, transgenic assay, and allelic association analyses. The development of introgression lines with significantly reduced chromosome segments of Ae. longissima encompassing Pm13 enables widespread deployment of this gene into wheat cultivars. The cloning of Pm13 may provide valuable insights into the molecular mechanisms underlying Pm13-mediated powdery mildew resistance and highlight the important roles of kinase fusion proteins (KFPs) in wheat immunity.
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Affiliation(s)
- Huanhuan Li
- The State Key Laboratory of Wheat and Maize Crop Science, College of Life Sciences, Henan Agricultural University, Zhengzhou, 450002, PR China
| | - Wenqiang Men
- The State Key Laboratory of Wheat and Maize Crop Science, College of Life Sciences, Henan Agricultural University, Zhengzhou, 450002, PR China
| | - Chao Ma
- The State Key Laboratory of Wheat and Maize Crop Science, College of Life Sciences, Henan Agricultural University, Zhengzhou, 450002, PR China
| | - Qianwen Liu
- The State Key Laboratory of Wheat and Maize Crop Science, College of Life Sciences, Henan Agricultural University, Zhengzhou, 450002, PR China
| | - Zhenjie Dong
- College of Agronomy, Nanjing Agricultural University, Nanjing, 210000, PR China
| | - Xiubin Tian
- Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, 100101, PR China
| | - Chaoli Wang
- The State Key Laboratory of Wheat and Maize Crop Science, College of Life Sciences, Henan Agricultural University, Zhengzhou, 450002, PR China
| | - Cheng Liu
- Crop Research Institute, Shandong Academy of Agricultural Sciences, Jinan, 250000, PR China
| | - Harsimardeep S Gill
- Department of Agronomy, Horticulture and Plant Science, South Dakota State University, Brookings, SD, 57007, USA
| | - Pengtao Ma
- College of Life Sciences, Yantai University, Yantai, 264005, PR China
| | - Zhibin Zhang
- Key Laboratory of Molecular Epigenetics of the Ministry of Education (MOE), Northeast Normal University, Changchun, 130024, PR China
| | - Bao Liu
- Key Laboratory of Molecular Epigenetics of the Ministry of Education (MOE), Northeast Normal University, Changchun, 130024, PR China
| | - Yue Zhao
- The State Key Laboratory of Wheat and Maize Crop Science, College of Life Sciences, Henan Agricultural University, Zhengzhou, 450002, PR China.
| | - Sunish K Sehgal
- Department of Agronomy, Horticulture and Plant Science, South Dakota State University, Brookings, SD, 57007, USA.
| | - Wenxuan Liu
- The State Key Laboratory of Wheat and Maize Crop Science, College of Life Sciences, Henan Agricultural University, Zhengzhou, 450002, PR China.
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Xie Z, Zhang L, Zhang Q, Lu Y, Dong C, Li D, Liu X, Xia C, Kong X. A Glu209Lys substitution in DRG1/TaACT7, which disturbs F-actin organization, reduces plant height and grain length in bread wheat. THE NEW PHYTOLOGIST 2023; 240:1913-1929. [PMID: 37668262 DOI: 10.1111/nph.19246] [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: 03/13/2023] [Accepted: 08/14/2023] [Indexed: 09/06/2023]
Abstract
Plant height and grain size are two important agronomic traits that are closely related to crop yield. Numerous dwarf and grain-shape mutants have been studied to identify genes that can be used to increase crop yield and improve breeding programs. In this study, we characterized a dominant mutant, dwarf and round grain 1 (drg1-D), in bread wheat (Triticum aestivum L.). drg1-D plants exhibit multiple phenotypic changes, including dwarfism, round grains, and insensitivity to brassinosteroids (BR). Cell structure observation in drg1-D mutant plants showed that the reduced organ size is due to irregular cell shape. Using map-based cloning and verification in transgenic plants, we found that a Glu209Lys substitution in the DRG1 protein is responsible for the irregular cell size and arrangement in the drg1-D mutant. DRG1/TaACT7 encodes an actin family protein that is essential for polymerization stability and microfilament (MF) formation. In addition, the BR response and vesicular transport were altered by the abnormal actin cytoskeleton in drg1-D mutant plants. Our study demonstrates that DRG1/TaACT7 plays an important role in wheat cell shape determination by modulating actin organization and intracellular material transport, which could in the longer term provide tools to better understand the polymerization of actin and its assembly into filaments and arrays.
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Affiliation(s)
- Zhencheng Xie
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Lichao Zhang
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Qiang Zhang
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Yan Lu
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Chunhao Dong
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Danping Li
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Xu Liu
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Chuan Xia
- 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
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Mao H, Jiang C, Tang C, Nie X, Du L, Liu Y, Cheng P, Wu Y, Liu H, Kang Z, Wang X. Wheat adaptation to environmental stresses under climate change: Molecular basis and genetic improvement. MOLECULAR PLANT 2023; 16:1564-1589. [PMID: 37671604 DOI: 10.1016/j.molp.2023.09.001] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/04/2023] [Revised: 08/19/2023] [Accepted: 09/01/2023] [Indexed: 09/07/2023]
Abstract
Wheat (Triticum aestivum) is a staple food for about 40% of the world's population. As the global population has grown and living standards improved, high yield and improved nutritional quality have become the main targets for wheat breeding. However, wheat production has been compromised by global warming through the more frequent occurrence of extreme temperature events, which have increased water scarcity, aggravated soil salinization, caused plants to be more vulnerable to diseases, and directly reduced plant fertility and suppressed yield. One promising option to address these challenges is the genetic improvement of wheat for enhanced resistance to environmental stress. Several decades of progress in genomics and genetic engineering has tremendously advanced our understanding of the molecular and genetic mechanisms underlying abiotic and biotic stress responses in wheat. These advances have heralded what might be considered a "golden age" of functional genomics for the genetic improvement of wheat. Here, we summarize the current knowledge on the molecular and genetic basis of wheat resistance to abiotic and biotic stresses, including the QTLs/genes involved, their functional and regulatory mechanisms, and strategies for genetic modification of wheat for improved stress resistance. In addition, we also provide perspectives on some key challenges that need to be addressed.
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Affiliation(s)
- Hude Mao
- State Key Laboratory of Crop Stress Biology for Arid Areas and College of Agronomy, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Cong Jiang
- State Key Laboratory of Crop Stress Biology for Arid Areas and College of Plant Protection, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Chunlei Tang
- State Key Laboratory of Crop Stress Biology for Arid Areas and College of Plant Protection, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Xiaojun Nie
- State Key Laboratory of Crop Stress Biology for Arid Areas and College of Agronomy, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Linying Du
- State Key Laboratory of Crop Stress Biology for Arid Areas and College of Life Science, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Yuling Liu
- State Key Laboratory of Crop Stress Biology for Arid Areas and College of Plant Protection, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Peng Cheng
- State Key Laboratory of Crop Stress Biology for Arid Areas and College of Plant Protection, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Yunfeng Wu
- State Key Laboratory of Crop Stress Biology for Arid Areas and College of Plant Protection, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Huiquan Liu
- State Key Laboratory of Crop Stress Biology for Arid Areas and College of Plant Protection, Northwest A&F University, Yangling, Shaanxi 712100, China
| | - Zhensheng Kang
- State Key Laboratory of Crop Stress Biology for Arid Areas and College of Plant Protection, Northwest A&F University, Yangling, Shaanxi 712100, China.
| | - Xiaojie Wang
- State Key Laboratory of Crop Stress Biology for Arid Areas and College of Plant Protection, Northwest A&F University, Yangling, Shaanxi 712100, China.
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Tang X, Dai F, Hao Y, Chen Y, Zhang J, Wang G, Li X, Peng X, Xu T, Yuan C, Sun L, Xiao J, Wang H, Shi W, Yang L, Wang Z, Wang X. Fine mapping of two recessive powdery mildew resistance genes from Aegilops tauschii accession CIae8. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2023; 136:206. [PMID: 37672067 DOI: 10.1007/s00122-023-04454-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Accepted: 08/14/2023] [Indexed: 09/07/2023]
Abstract
KEY MESSAGE Two recessive powdery mildew resistance loci pmAeCIae8_2DS and pmAeCIae8_7DS from Aegilops tauschii were mapped and two synthesized hexaploid wheat lines were developed by distant hybridization. Wheat powdery mildew (Pm), one of the worldwide destructive fungal diseases, causes significant yield loss up to 30%. The identification of new Pm resistance genes will enrich the genetic diversity of wheat breeding for Pm resistance. Aegilops tauschii is the ancestor donor of sub-genome D of hexaploid wheat. It provides beneficial genes that can be easily transferred into wheat by producing synthetic hexaploid wheat followed by genetic recombination. We assessed the Pm resistance level of 35 Ae. tauschii accessions from different origins. Accession CIae8 exhibited high Pm resistance. Inheritance analysis and gene mapping were performed using F2 and F2:3 populations derived from the cross between CIae8 and a Pm susceptible accession PI574467. The Pm resistance of CIae8 was controlled by two independent recessive genes. Bulked segregate analysis using a 55 K SNP array revealed the SNPs were mainly enriched into genome regions, i.e. 2DS (13.5-20 Mb) and 7DS (4.0-15.5 Mb). The Pm resistance loci were named as pmAeCIae8_2DS and pmAeCIae8_7DS, respectively. By recombinant screening, we narrowed the pmAeCIae8_2DS into a 370-kb interval flanked by markers CINAU-AE7800 (14.89 Mb) and CINAU-AE20 (15.26 Mb), and narrowed the pmAeCIae8_7DS into a 260-kb interval flanked by markers CINAU-AE58 (4.72 Mb) and CINAU-AE25 (4.98 Mb). The molecular markers closely linked with the resistance loci were developed, and two synthesized hexaploid wheat (SHW) lines were produced. These laid the foundation for cloning of the two resistance loci and for transferring the resistance into common wheat.
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Affiliation(s)
- Xiong Tang
- State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, College of Agriculture, Collaborative Innovation Center for Modern Crop Production (CIC-MCP), Nanjing Agricultural University, Nanjing, 210095, Jiangsu, China
- Zhongshan Biological Breeding Laboratory, No.50 Zhongling Street, Nanjing, 210014, Jiangsu, China
| | - Fangxiu Dai
- State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, College of Agriculture, Collaborative Innovation Center for Modern Crop Production (CIC-MCP), Nanjing Agricultural University, Nanjing, 210095, Jiangsu, China
- Zhongshan Biological Breeding Laboratory, No.50 Zhongling Street, Nanjing, 210014, Jiangsu, China
| | - Yongli Hao
- State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, College of Agriculture, Collaborative Innovation Center for Modern Crop Production (CIC-MCP), Nanjing Agricultural University, Nanjing, 210095, Jiangsu, China
| | - Yiming Chen
- State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, College of Agriculture, Collaborative Innovation Center for Modern Crop Production (CIC-MCP), Nanjing Agricultural University, Nanjing, 210095, Jiangsu, China
- Zhongshan Biological Breeding Laboratory, No.50 Zhongling Street, Nanjing, 210014, Jiangsu, China
| | - Jianpeng Zhang
- State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, College of Agriculture, Collaborative Innovation Center for Modern Crop Production (CIC-MCP), Nanjing Agricultural University, Nanjing, 210095, Jiangsu, China
| | - Guoqing Wang
- State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, College of Agriculture, Collaborative Innovation Center for Modern Crop Production (CIC-MCP), Nanjing Agricultural University, Nanjing, 210095, Jiangsu, China
- Zhongshan Biological Breeding Laboratory, No.50 Zhongling Street, Nanjing, 210014, Jiangsu, China
| | - Xingyue Li
- State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, College of Agriculture, Collaborative Innovation Center for Modern Crop Production (CIC-MCP), Nanjing Agricultural University, Nanjing, 210095, Jiangsu, China
- Zhongshan Biological Breeding Laboratory, No.50 Zhongling Street, Nanjing, 210014, Jiangsu, China
| | - Xiaojin Peng
- State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, College of Agriculture, Collaborative Innovation Center for Modern Crop Production (CIC-MCP), Nanjing Agricultural University, Nanjing, 210095, Jiangsu, China
| | - Tao Xu
- State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, College of Agriculture, Collaborative Innovation Center for Modern Crop Production (CIC-MCP), Nanjing Agricultural University, Nanjing, 210095, Jiangsu, China
- Zhongshan Biological Breeding Laboratory, No.50 Zhongling Street, Nanjing, 210014, Jiangsu, China
| | - Chunxia Yuan
- State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, College of Agriculture, Collaborative Innovation Center for Modern Crop Production (CIC-MCP), Nanjing Agricultural University, Nanjing, 210095, Jiangsu, China
- Zhongshan Biological Breeding Laboratory, No.50 Zhongling Street, Nanjing, 210014, Jiangsu, China
| | - Li Sun
- State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, College of Agriculture, Collaborative Innovation Center for Modern Crop Production (CIC-MCP), Nanjing Agricultural University, Nanjing, 210095, Jiangsu, China
- Zhongshan Biological Breeding Laboratory, No.50 Zhongling Street, Nanjing, 210014, Jiangsu, China
| | - Jin Xiao
- State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, College of Agriculture, Collaborative Innovation Center for Modern Crop Production (CIC-MCP), Nanjing Agricultural University, Nanjing, 210095, Jiangsu, China
- Zhongshan Biological Breeding Laboratory, No.50 Zhongling Street, Nanjing, 210014, Jiangsu, China
| | - Haiyan Wang
- State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, College of Agriculture, Collaborative Innovation Center for Modern Crop Production (CIC-MCP), Nanjing Agricultural University, Nanjing, 210095, Jiangsu, China
- Zhongshan Biological Breeding Laboratory, No.50 Zhongling Street, Nanjing, 210014, Jiangsu, China
| | - Wenqi Shi
- Hubei Key Laboratory of Crop Disease, Insect Pests and Weeds Control, Institute of Plant Protection and Soil Science, Hubei Academy of Agricultural Sciences, Wuhan, 430064, Hubei, China
| | - Lijun Yang
- Hubei Key Laboratory of Crop Disease, Insect Pests and Weeds Control, Institute of Plant Protection and Soil Science, Hubei Academy of Agricultural Sciences, Wuhan, 430064, Hubei, China
| | - Zongkuan Wang
- State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, College of Agriculture, Collaborative Innovation Center for Modern Crop Production (CIC-MCP), Nanjing Agricultural University, Nanjing, 210095, Jiangsu, China.
- Zhongshan Biological Breeding Laboratory, No.50 Zhongling Street, Nanjing, 210014, Jiangsu, China.
| | - Xiue Wang
- State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, College of Agriculture, Collaborative Innovation Center for Modern Crop Production (CIC-MCP), Nanjing Agricultural University, Nanjing, 210095, Jiangsu, China.
- Zhongshan Biological Breeding Laboratory, No.50 Zhongling Street, Nanjing, 210014, Jiangsu, China.
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8
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Papon N, Lasserre-Zuber P, Rimbert H, De Oliveira R, Paux E, Choulet F. All families of transposable elements were active in the recent wheat genome evolution and polyploidy had no impact on their activity. THE PLANT GENOME 2023; 16:e20347. [PMID: 37243411 DOI: 10.1002/tpg2.20347] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/12/2022] [Revised: 04/12/2023] [Accepted: 04/13/2023] [Indexed: 05/28/2023]
Abstract
Bread wheat (Triticum aestivum L.) is a major crop and its genome is one of the largest ever assembled at reference-quality level. It is 15 Gb, hexaploid, with 85% of transposable elements (TEs). Wheat genetic diversity was mainly focused on genes and little is known about the extent of genomic variability affecting TEs, transposition rate, and the impact of polyploidy. Multiple chromosome-scale assemblies are now available for bread wheat and for its tetraploid and diploid wild relatives. In this study, we computed base pair-resolved, gene-anchored, whole genome alignments of A, B, and D lineages at different ploidy levels in order to estimate the variability that affects the TE space. We used assembled genomes of 13 T. aestivum cultivars (6x = AABBDD) and a single genome for Triticum durum (4x = AABB), Triticum dicoccoides (4x = AABB), Triticum urartu (2x = AA), and Aegilops tauschii (2x = DD). We show that 5%-34% of the TE fraction is variable, depending on the species divergence. Between 400 and 13,000 novel TE insertions per subgenome were detected. We found lineage-specific insertions for nearly all TE families in di-, tetra-, and hexaploids. No burst of transposition was observed and polyploidization did not trigger any boost of transposition. This study challenges the prevailing idea of wheat TE dynamics and is more in agreement with an equilibrium model of evolution.
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Affiliation(s)
- Nathan Papon
- INRAE, GDEC, Université Clermont Auvergne, Clermont-Ferrand, France
| | | | - Hélène Rimbert
- INRAE, GDEC, Université Clermont Auvergne, Clermont-Ferrand, France
| | | | - Etienne Paux
- INRAE, GDEC, Université Clermont Auvergne, Clermont-Ferrand, France
| | - Frédéric Choulet
- INRAE, GDEC, Université Clermont Auvergne, Clermont-Ferrand, France
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9
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Liu Y, Chen J, Yin C, Wang Z, Wu H, Shen K, Zhang Z, Kang L, Xu S, Bi A, Zhao X, Xu D, He Z, Zhang X, Hao C, Wu J, Gong Y, Yu X, Sun Z, Ye B, Liu D, Zhang L, Shen L, Hao Y, Ma Y, Lu F, Guo Z. A high-resolution genotype-phenotype map identifies the TaSPL17 controlling grain number and size in wheat. Genome Biol 2023; 24:196. [PMID: 37641093 PMCID: PMC10463835 DOI: 10.1186/s13059-023-03044-2] [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: 04/27/2023] [Accepted: 08/21/2023] [Indexed: 08/31/2023] Open
Abstract
BACKGROUND Large-scale genotype-phenotype association studies of crop germplasm are important for identifying alleles associated with favorable traits. The limited number of single-nucleotide polymorphisms (SNPs) in most wheat genome-wide association studies (GWASs) restricts their power to detect marker-trait associations. Additionally, only a few genes regulating grain number per spikelet have been reported due to sensitivity of this trait to variable environments. RESULTS We perform a large-scale GWAS using approximately 40 million filtered SNPs for 27 spike morphology traits. We detect 132,086 significant marker-trait associations and the associated SNP markers are located within 590 associated peaks. We detect additional and stronger peaks by dividing spike morphology into sub-traits relative to GWAS results of spike morphology traits. We propose that the genetic dissection of spike morphology is a powerful strategy to detect signals for grain yield traits in wheat. The GWAS results reveal that TaSPL17 positively controls grain size and number by regulating spikelet and floret meristem development, which in turn leads to enhanced grain yield per plant. The haplotypes at TaSPL17 indicate geographical differentiation, domestication effects, and breeding selection. CONCLUSION Our study provides valuable resources for genetic improvement of spike morphology and a fast-forward genetic solution for candidate gene detection and cloning in wheat.
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Affiliation(s)
- Yangyang Liu
- Key Laboratory of Plant Molecular Physiology, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Jun Chen
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing, 100081, China
| | - Changbin Yin
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing, 10011, China
| | - Ziying Wang
- Key Laboratory of Plant Molecular Physiology, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - He Wu
- Key Laboratory of Plant Molecular Physiology, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Kuocheng Shen
- Key Laboratory of Plant Molecular Physiology, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Zhiliang Zhang
- University of Chinese Academy of Sciences, Beijing, 100049, China
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing, 10011, China
| | - Lipeng Kang
- University of Chinese Academy of Sciences, Beijing, 100049, China
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing, 10011, China
| | - Song Xu
- University of Chinese Academy of Sciences, Beijing, 100049, China
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing, 10011, China
| | - Aoyue Bi
- University of Chinese Academy of Sciences, Beijing, 100049, China
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing, 10011, China
| | - Xuebo Zhao
- University of Chinese Academy of Sciences, Beijing, 100049, China
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing, 10011, China
| | - Daxing Xu
- University of Chinese Academy of Sciences, Beijing, 100049, China
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing, 10011, China
| | - Zhonghu He
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing, 100081, China
- International Maize and Wheat Improvement Center (CIMMYT) China Office, c/o CAAS, Beijing, 100081, China
| | - Xueyong Zhang
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing, 100081, China
| | - Chenyang Hao
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing, 100081, China
| | - Jianhui Wu
- State Key Laboratory of Crop Stress Biology for Arid Areas, Northwest A&F University, Yangling, 712100, Shaanxi, China
| | - Yan Gong
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing, 100081, China
| | - Xuchang Yu
- Key Laboratory of Plant Molecular Physiology, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Zhiwen Sun
- Key Laboratory of Plant Molecular Physiology, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Botao Ye
- Key Laboratory of Plant Molecular Physiology, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Danni Liu
- Key Laboratory of Plant Molecular Physiology, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Lili Zhang
- Key Laboratory of Plant Molecular Physiology, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China
| | - Liping Shen
- Key Laboratory of Plant Molecular Physiology, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China
| | - Yuanfeng Hao
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing, 100081, China.
| | - Youzhi Ma
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences (CAAS), Beijing, 100081, China.
| | - Fei Lu
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing, 10011, China.
- CAS-JIC Centre of Excellence for Plant and Microbial Science (CEPAMS), Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, 100093, China.
| | - Zifeng Guo
- Key Laboratory of Plant Molecular Physiology, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China.
- University of Chinese Academy of Sciences, Beijing, 100049, China.
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10
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Gao Z, Bian J, Lu F, Jiao Y, He H. Triticeae crop genome biology: an endless frontier. FRONTIERS IN PLANT SCIENCE 2023; 14:1222681. [PMID: 37546276 PMCID: PMC10399237 DOI: 10.3389/fpls.2023.1222681] [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: 05/15/2023] [Accepted: 07/04/2023] [Indexed: 08/08/2023]
Abstract
Triticeae, the wheatgrass tribe, includes several major cereal crops and their wild relatives. Major crops within the Triticeae are wheat, barley, rye, and oat, which are important for human consumption, animal feed, and rangeland protection. Species within this tribe are known for their large genomes and complex genetic histories. Powered by recent advances in sequencing technology, researchers worldwide have made progress in elucidating the genomes of Triticeae crops. In addition to assemblies of high-quality reference genomes, pan-genome studies have just started to capture the genomic diversities of these species, shedding light on our understanding of the genetic basis of domestication and environmental adaptation of Triticeae crops. In this review, we focus on recent signs of progress in genome sequencing, pan-genome analyses, and resequencing analysis of Triticeae crops. We also propose future research avenues in Triticeae crop genomes, including identifying genome structure variations, the association of genomic regions with desired traits, mining functions of the non-coding area, introgression of high-quality genes from wild Triticeae resources, genome editing, and integration of genomic resources.
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Affiliation(s)
- Zhaoxu Gao
- State Key Laboratory of Protein and Plant Gene Research, School of Advanced Agriculture Sciences and School of Life Sciences, Peking University, Beijing, China
| | - Jianxin Bian
- Peking University Institute of Advanced Agricultural Sciences, Shandong Laboratory of Advanced Agricultural Sciences in Weifang, Shandong, China
| | - Fei Lu
- 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, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
- CAS-JIC Centre of Excellence for Plant and Microbial Science (CEPAMS), Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China
| | - Yuling Jiao
- Peking University Institute of Advanced Agricultural Sciences, Shandong Laboratory of Advanced Agricultural Sciences in Weifang, Shandong, China
- University of Chinese Academy of Sciences, Beijing, China
- State Key Laboratory for Protein and Plant Gene Research, School of Life Sciences, Peking University, Beijing, China
- Peking-Tsinghua Center for Life Sciences, Center for Quantitative Biology, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing, China
- State Key Laboratory of Plant Genomics, Institute of Genetics and Developmental Biology, The Innovative Academy of Seed Design, Chinese Academy of Sciences, Beijing, China
| | - Hang He
- State Key Laboratory of Protein and Plant Gene Research, School of Advanced Agriculture Sciences and School of Life Sciences, Peking University, Beijing, China
- Peking University Institute of Advanced Agricultural Sciences, Shandong Laboratory of Advanced Agricultural Sciences in Weifang, Shandong, China
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11
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Kong C, Zhao G, Gao L, Kong X, Wang D, Liu X, Jia J. Epigenetic Landscape Is Largely Shaped by Diversiform Transposons in Aegilops tauschii. Int J Mol Sci 2023; 24:ijms24119349. [PMID: 37298301 DOI: 10.3390/ijms24119349] [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: 04/18/2023] [Revised: 05/21/2023] [Accepted: 05/23/2023] [Indexed: 06/12/2023] Open
Abstract
Transposons (TEs) account for more than 80% of the wheat genome, the highest among all known crop species. They play an important role in shaping the elaborate genomic landscape, which is the key to the speciation of wheat. In this study, we analyzed the association between TEs, chromatin states, and chromatin accessibility in Aegilops tauschii, the D genome donor of bread wheat. We found that TEs contributed to the complex but orderly epigenetic landscape as chromatin states showed diverse distributions on TEs of different orders or superfamilies. TEs also contributed to the chromatin state and openness of potential regulatory elements, affecting the expression of TE-related genes. Some TE superfamilies, such as hAT-Ac, carry active/open chromatin regions. In addition, the histone mark H3K9ac was found to be associated with the accessibility shaped by TEs. These results suggest the role of diversiform TEs in shaping the epigenetic landscape and in gene expression regulation in Aegilops tauschii. This has positive implications for understanding the transposon roles in Aegilops tauschii or the wheat D genome.
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Affiliation(s)
- Chuizheng Kong
- National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Guangyao Zhao
- National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Lifeng Gao
- National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Xiuying Kong
- National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Daowen Wang
- State Key Laboratory of Wheat and Maize Crop Science, College of Agronomy, Henan Agricultural University, Zhengzhou 450002, China
| | - Xu Liu
- National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Jizeng Jia
- National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China
- State Key Laboratory of Wheat and Maize Crop Science, College of Agronomy, Henan Agricultural University, Zhengzhou 450002, China
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12
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Xi W, Hao C, Li T, Wang H, Zhang X. Transcriptome Analysis of Roots from Wheat ( Triticum aestivum L.) Varieties in Response to Drought Stress. Int J Mol Sci 2023; 24:ijms24087245. [PMID: 37108408 PMCID: PMC10139362 DOI: 10.3390/ijms24087245] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Revised: 04/02/2023] [Accepted: 04/07/2023] [Indexed: 04/29/2023] Open
Abstract
Under climate change, drought is one of the most limiting factors that influences wheat (Triticum aestivum L.) production. Exploring stress-related genes is vital for wheat breeding. To identify genes related to the drought tolerance response, two common wheat cultivars, Zhengmai 366 (ZM366) and Chuanmai 42 (CM42), were selected based on their obvious difference in root length under 15% PEG-6000 treatment. The root length of the ZM366 cultivar was significantly longer than that of CM42. Stress-related genes were identified by RNA-seq in samples treated with 15% PEG-6000 for 7 days. In total, 11,083 differentially expressed genes (DEGs) and numerous single nucleotide polymorphisms (SNPs) and insertions/deletions (InDels) were identified. GO enrichment analysis revealed that the upregulated genes were mainly related to the response to water, acidic chemicals, oxygen-containing compounds, inorganic substances, and abiotic stimuli. Among the DEGs, the expression levels of 16 genes in ZM366 were higher than those in CM42 after the 15% PEG-6000 treatment based on RT-qPCR. Furthermore, EMS-induced mutants in Kronos (T. turgidum L.) of 4 representative DEGs possessed longer roots than the WT after the 15% PEG-6000 treatment. Altogether, the drought stress genes identified in this study represent useful gene resources for wheat breeding.
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Affiliation(s)
- Wei Xi
- College of Agronomy, Gansu Agricultural University, Lanzhou 730070, China
- State Key Laboratory of Aridland Crop Science/Gansu Key Laboratory of Crop Improvement & Germplasm Enhancement, Gansu Agricultural University, Lanzhou 730070, China
- Key Laboratory of Crop Gene Resources and Germplasm Enhancement, Ministry of Agriculture and Rural Affaris/The National Key Facility for Crop Gene Resources and Genetic Improvement/Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Chenyang Hao
- Key Laboratory of Crop Gene Resources and Germplasm Enhancement, Ministry of Agriculture and Rural Affaris/The National Key Facility for Crop Gene Resources and Genetic Improvement/Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Tian Li
- Key Laboratory of Crop Gene Resources and Germplasm Enhancement, Ministry of Agriculture and Rural Affaris/The National Key Facility for Crop Gene Resources and Genetic Improvement/Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Huajun Wang
- College of Agronomy, Gansu Agricultural University, Lanzhou 730070, China
- State Key Laboratory of Aridland Crop Science/Gansu Key Laboratory of Crop Improvement & Germplasm Enhancement, Gansu Agricultural University, Lanzhou 730070, China
| | - Xueyong Zhang
- College of Agronomy, Gansu Agricultural University, Lanzhou 730070, China
- State Key Laboratory of Aridland Crop Science/Gansu Key Laboratory of Crop Improvement & Germplasm Enhancement, Gansu Agricultural University, Lanzhou 730070, China
- Key Laboratory of Crop Gene Resources and Germplasm Enhancement, Ministry of Agriculture and Rural Affaris/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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13
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Yadav RK, Tripathi MK, Tiwari S, Tripathi N, Asati R, Patel V, Sikarwar RS, Payasi DK. Breeding and Genomic Approaches towards Development of Fusarium Wilt Resistance in Chickpea. Life (Basel) 2023; 13:life13040988. [PMID: 37109518 PMCID: PMC10144025 DOI: 10.3390/life13040988] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2023] [Revised: 03/27/2023] [Accepted: 03/29/2023] [Indexed: 04/29/2023] Open
Abstract
Chickpea is an important leguminous crop with potential to provide dietary proteins to both humans and animals. It also ameliorates soil nitrogen through biological nitrogen fixation. The crop is affected by an array of biotic and abiotic factors. Among different biotic stresses, a major fungal disease called Fusarium wilt, caused by Fusarium oxysporum f. sp. ciceris (FOC), is responsible for low productivity in chickpea. To date, eight pathogenic races of FOC (race 0, 1A, and 1B/C, 2-6) have been reported worldwide. The development of resistant cultivars using different conventional breeding methods is very time consuming and depends upon the environment. Modern technologies can improve conventional methods to solve these major constraints. Understanding the molecular response of chickpea to Fusarium wilt can help to provide effective management strategies. The identification of molecular markers closely linked to genes/QTLs has provided great potential for chickpea improvement programs. Moreover, omics approaches, including transcriptomics, metabolomics, and proteomics give scientists a vast viewpoint of functional genomics. In this review, we will discuss the integration of all available strategies and provide comprehensive knowledge about chickpea plant defense against Fusarium wilt.
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Affiliation(s)
- Rakesh Kumar Yadav
- Department of Genetics & Plant Breeding, College of Agriculture, Rajmata Vijayaraje Scindia Krishi Vishwa Vidyalaya, Gwalior 474002, India
| | - Manoj Kumar Tripathi
- Department of Genetics & Plant Breeding, College of Agriculture, Rajmata Vijayaraje Scindia Krishi Vishwa Vidyalaya, Gwalior 474002, India
- Department of Plant Molecular Biology & Biotechnology, College of Agriculture, Rajmata Vijayaraje Scindia Krishi Vishwa Vidyalaya, Gwalior 474002, India
| | - Sushma Tiwari
- Department of Genetics & Plant Breeding, College of Agriculture, Rajmata Vijayaraje Scindia Krishi Vishwa Vidyalaya, Gwalior 474002, India
- Department of Plant Molecular Biology & Biotechnology, College of Agriculture, Rajmata Vijayaraje Scindia Krishi Vishwa Vidyalaya, Gwalior 474002, India
| | - Niraj Tripathi
- Directorate of Research Services, Jawaharlal Nehru Krishi Vishwa Vidyalaya, Jabalpur 482004, India
| | - Ruchi Asati
- Department of Genetics & Plant Breeding, College of Agriculture, Rajmata Vijayaraje Scindia Krishi Vishwa Vidyalaya, Gwalior 474002, India
| | - Vinod Patel
- Department of Genetics & Plant Breeding, College of Agriculture, Rajmata Vijayaraje Scindia Krishi Vishwa Vidyalaya, Gwalior 474002, India
| | - R S Sikarwar
- Department of Genetics & Plant Breeding, College of Agriculture, Rajmata Vijayaraje Scindia Krishi Vishwa Vidyalaya, Gwalior 474002, India
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14
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Teng L, Liang M, Wang C, Li Y, Urbach JM, Kobe B, Xing Q, Han W, Ye N. Exon shuffling potentiates a diverse repertoire of brown algal NB-ARC-TPR candidate immune receptor proteins via alternative splicing. THE PLANT JOURNAL : FOR CELL AND MOLECULAR BIOLOGY 2023; 114:246-261. [PMID: 36738111 DOI: 10.1111/tpj.16131] [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: 11/22/2022] [Revised: 01/27/2023] [Accepted: 02/01/2023] [Indexed: 05/10/2023]
Abstract
Like other organisms, brown algae are subject to diseases caused by bacteria, fungi, and viruses. Brown algal immunity mechanisms are not well characterized; however, there is evidence suggesting that pathogen receptors exist in brown algae. One key protein family likely associated with brown algal innate immunity possesses an NB-ARC domain analogous to innate immune proteins in plants and animals. In this study, we conducted an extensive survey of NB-ARC genes in brown algae and obtained insights into the domain organization and evolutionary history of the encoded proteins. Our data show that brown algae possess an ancient NB-ARC-tetratricopeptide repeat (NB-TPR) domain architecture. We identified an N-terminal effector domain, the four-helix bundle, which was not previously found associated with NB-ARC domains. The phylogenetic tree including NB-ARC domains from all kingdoms of life suggests the three clades of brown algal NB-TPRs are likely monophyletic, whereas their TPRs seem to have distinct origins. One group of TPRs exhibit intense exon shuffling, with various alternative splicing and diversifying selection acting on them, suggesting exon shuffling is an important mechanism for evolving ligand-binding specificities. The reconciliation of gene duplication and loss events of the NB-ARC genes reveals that more independent gene gains than losses have occurred during brown algal evolution, and that tandem duplication has played a major role in the expansion of NB-ARC genes. Our results substantially enhance our understanding of the evolutionary history and exon shuffling mechanisms of the candidate innate immune repertoire of brown algae.
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Affiliation(s)
- Linhong Teng
- College of Life Sciences, Dezhou University, Dezhou, 253023, China
| | - Miao Liang
- College of Life Sciences, Dezhou University, Dezhou, 253023, China
| | - Chenghui Wang
- College of Life Sciences, Dezhou University, Dezhou, 253023, China
| | - Yan Li
- College of Life Sciences, Dezhou University, Dezhou, 253023, China
| | - Jonathan M Urbach
- Ragon Institute, 400 Technology Square, Cambridge, Massachusetts, 02139, USA
| | - Bostjan Kobe
- School of Chemistry and Molecular Biosciences, Institute for Molecular Bioscience and Australian Infectious Diseases Research Centre, University of Queensland, Brisbane, Queensland, 4072, Australia
| | - Qikun Xing
- Department of Marine Science, Incheon National University, Incheon, 22012, South Korea
| | - Wentao Han
- National Key Laboratory of Mariculture Biobreeding and Sustainable Goods, Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao, 266071, China
| | - Naihao Ye
- National Key Laboratory of Mariculture Biobreeding and Sustainable Goods, Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao, 266071, China
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15
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Zhang P, Ni Y, Jiao Z, Li J, Wang T, Yao Z, Jiang Y, Yang X, Sun Y, Li H, He D, Niu J. The wheat leaf delayed virescence of mutant dv4 is associated with the abnormal photosynthetic and antioxidant systems. Gene X 2023; 856:147134. [PMID: 36586497 DOI: 10.1016/j.gene.2022.147134] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2022] [Revised: 12/18/2022] [Accepted: 12/19/2022] [Indexed: 12/29/2022] Open
Abstract
Chlorophyll (Chl) is a key pigment for wheat (Triticum aestivum L.) photosynthesis, consequently impacts grain yield. A wheat mutant named as delayed virescence 4 (dv4) was obtained from cultivar Guomai 301 (wild type, WT) treated with ethyl methane sulfonate (EMS). The seedling leaves of dv4 were shallow yellow, apparently were chlorophyll deficient. They started to turn green at the jointing stage and returned to almost ordinary green at the heading stage. Leaf transcriptome comparison of Guomai 301 and dv4 at the jointing stage showed that most differentially expressed genes (DEGs) of transcription and translation were highly expressed in dv4, one key gene nicotianamine aminotransferase A (NAAT-A) involved in the synthesis and metabolism pathways of tyrosine, methionine and phenylalanine was significantly lowly expressed. The expression levels of the most photosynthesis related genes, such as photosystem I (PS I), ATPase and light-harvesting chlorophyll protein complex-related homeotypic genes, and protochlorophyllide reductase A (PORA) were lower; but macromolecule degradation and hypersensitivity response (HR) related gene heat shock protein 82 (HSP82) was highly expressed. Compared to WT, the contents of macromolecules such as proteins and sugars were reduced; the contents of Chl a, Chl b, total Chl, and carotenoids in leaves of dv4 were significantly less at the jointing stage, while the ratio of Chl a / Chl b was the same as that of WT. The net photosynthetic rate, stomatal conductance and transpiration rate of dv4 were significantly lower. The H2O2 content were higher, while the contents of total phenol and malondialdehyde (MDA), antioxidant enzyme activities were lower in leaves of dv4. In conclusion, the reduced contents of macromolecules and photosynthetic pigments, the abnormal photosynthetic and antioxidant systems were closely related to the phenotype of dv4.
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Affiliation(s)
- Peipei Zhang
- Henan Technology Innovation Centre of Wheat / National Key Laboratory of Wheat and Maize Crop Science, Henan Agricultural University, Zhengzhou 450046, Henan, China
| | - Yongjing Ni
- Shangqiu Academy of Agricultural and Forestry Sciences, Shangqiu 476000, Henan, China
| | - Zhixin Jiao
- Henan Technology Innovation Centre of Wheat / National Key Laboratory of Wheat and Maize Crop Science, Henan Agricultural University, Zhengzhou 450046, Henan, China
| | - Junchang Li
- Henan Technology Innovation Centre of Wheat / National Key Laboratory of Wheat and Maize Crop Science, Henan Agricultural University, Zhengzhou 450046, Henan, China
| | - Ting Wang
- Henan Technology Innovation Centre of Wheat / National Key Laboratory of Wheat and Maize Crop Science, Henan Agricultural University, Zhengzhou 450046, Henan, China
| | - Ziping Yao
- Henan Technology Innovation Centre of Wheat / National Key Laboratory of Wheat and Maize Crop Science, Henan Agricultural University, Zhengzhou 450046, Henan, China
| | - Yumei Jiang
- Henan Technology Innovation Centre of Wheat / National Key Laboratory of Wheat and Maize Crop Science, Henan Agricultural University, Zhengzhou 450046, Henan, China
| | - Xiwen Yang
- Henan Technology Innovation Centre of Wheat / National Key Laboratory of Wheat and Maize Crop Science, Henan Agricultural University, Zhengzhou 450046, Henan, China
| | - Yulong Sun
- Henan Technology Innovation Centre of Wheat / National Key Laboratory of Wheat and Maize Crop Science, Henan Agricultural University, Zhengzhou 450046, Henan, China
| | - Huijuan Li
- Henan Technology Innovation Centre of Wheat / National Key Laboratory of Wheat and Maize Crop Science, Henan Agricultural University, Zhengzhou 450046, Henan, China
| | - Dexian He
- Henan Technology Innovation Centre of Wheat / National Key Laboratory of Wheat and Maize Crop Science, Henan Agricultural University, Zhengzhou 450046, Henan, China.
| | - Jishan Niu
- Henan Technology Innovation Centre of Wheat / National Key Laboratory of Wheat and Maize Crop Science, Henan Agricultural University, Zhengzhou 450046, Henan, China.
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16
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Huang Y, Wu D, Huang Z, Li X, Merotto A, Bai L, Fan L. Weed genomics: yielding insights into the genetics of weedy traits for crop improvement. ABIOTECH 2023; 4:20-30. [PMID: 37220539 PMCID: PMC10199979 DOI: 10.1007/s42994-022-00090-5] [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: 10/27/2022] [Accepted: 12/06/2022] [Indexed: 05/25/2023]
Abstract
Weeds cause tremendous economic and ecological damage worldwide. The number of genomes established for weed species has sharply increased during the recent decade, with some 26 weed species having been sequenced and de novo genomes assembled. These genomes range from 270 Mb (Barbarea vulgaris) to almost 4.4 Gb (Aegilops tauschii). Importantly, chromosome-level assemblies are now available for 17 of these 26 species, and genomic investigations on weed populations have been conducted in at least 12 species. The resulting genomic data have greatly facilitated studies of weed management and biology, especially origin and evolution. Available weed genomes have indeed revealed valuable weed-derived genetic materials for crop improvement. In this review, we summarize the recent progress made in weed genomics and provide a perspective for further exploitation in this emerging field.
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Affiliation(s)
- Yujie Huang
- Institute of Crop Science and Institute of Bioinformatics, Zhejiang University, Hangzhou, 310058 China
| | - Dongya Wu
- Institute of Crop Science and Institute of Bioinformatics, Zhejiang University, Hangzhou, 310058 China
| | - Zhaofeng Huang
- Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing, 100193 China
| | - Xiangyu Li
- Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing, 100193 China
| | - Aldo Merotto
- Department of Crop Sciences, Agricultural School Federal University of Rio Grande do Sul, Porto Alegre, 91540-000 Brazil
| | - Lianyang Bai
- Hunan Weed Science Key Laboratory, Hunan Academy of Agriculture Sciences, Changshang, 410125 China
| | - Longjiang Fan
- Institute of Crop Science and Institute of Bioinformatics, Zhejiang University, Hangzhou, 310058 China
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17
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Kou H, Zhang Z, Yang Y, Wei C, Xu L, Zhang G. Advances in the Mining of Disease Resistance Genes from Aegilops tauschii and the Utilization in Wheat. PLANTS (BASEL, SWITZERLAND) 2023; 12:plants12040880. [PMID: 36840228 PMCID: PMC9966637 DOI: 10.3390/plants12040880] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/17/2022] [Revised: 12/01/2022] [Accepted: 12/07/2022] [Indexed: 06/02/2023]
Abstract
Aegilops tauschii is one of the malignant weeds that affect wheat production and is also the wild species ancestor of the D genome of hexaploid wheat (Triticum aestivum, AABBDD). It contains many disease resistance genes that have been lost in the long-term evolution of wheat and is an important genetic resource for the mining and utilization of wheat disease resistance genes. In recent years, the genome sequence of Aegilops tauschii has been preliminarily completed, which has laid a good foundation for the further exploration of wheat disease resistance genes in Aegilops tauschii. There are many studies on disease resistance genes in Aegilops tauschii; in order to provide better help for the disease resistance breeding of wheat, this paper analyzes and reviews the relationship between Aegilops tauschii and wheat, the research progress of Aegilops tauschii, the discovery of disease resistance genes from Aegilops tauschii, and the application of disease resistance genes from Aegilops tauschii to modern wheat breeding, providing a reference for the further exploration and utilization of Aegilops tauschii in wheat disease resistance breeding.
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Affiliation(s)
- Hongyun Kou
- State Key Laboratory of Crop Biology, Shandong Agricultural University, Tai’an 271018, China
| | - Zhenbo Zhang
- State Key Laboratory of Crop Biology, Shandong Agricultural University, Tai’an 271018, China
| | - Yu Yang
- College of Agriculture and Bioengineering, Heze University, Heze 274015, China
| | - Changfeng Wei
- College of Agriculture and Bioengineering, Heze University, Heze 274015, China
| | - Lili Xu
- College of Agriculture and Bioengineering, Heze University, Heze 274015, China
| | - Guangqiang Zhang
- State Key Laboratory of Crop Biology, Shandong Agricultural University, Tai’an 271018, China
- College of Agriculture and Bioengineering, Heze University, Heze 274015, China
- Shandong Shofine Seed Technology Co., Ltd., Jining 272400, China
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18
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Abstract
Specific length amplified fragment sequencing (SLAF-seq) technology is a simplified genome sequencing technology based on next-generation sequencing. SLAF-seq technology has several distinguishing characteristics: 1. Deep sequencing to ensure accuracy of genotyping; 2. Effectively reduce sequencing costs; 3. Pre-designed simplified representation scheme to optimize marker efficiency; 4. Doubled barcode system for large populations. The advantages and technical process of SLAF-seq are described briefly with summarized results for the application of SLAF-seq in development of molecular markers, construction of high-density genetic map and gene mapping in ornamental plants. Finally, the difficulties and prospects of this method are discussed in application.
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Affiliation(s)
- Yang Zhou
- Beijing Key Laboratory of Ornamental Plants Germplasm Innovation and Molecular Breeding, National Engineering Research Center for Floriculture, College of Landscape Architecture, Beijing Forestry University, Beijing, China
| | - Huitang Pan
- Beijing Key Laboratory of Ornamental Plants Germplasm Innovation and Molecular Breeding, National Engineering Research Center for Floriculture, College of Landscape Architecture, Beijing Forestry University, Beijing, China.
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19
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Genetic Improvement and Application Practices of Synthetic Hexaploid Wheat. Genes (Basel) 2023; 14:genes14020283. [PMID: 36833210 PMCID: PMC9956247 DOI: 10.3390/genes14020283] [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: 12/24/2022] [Revised: 01/16/2023] [Accepted: 01/18/2023] [Indexed: 01/26/2023] Open
Abstract
Synthetic hexaploid wheat (SHW) is a useful genetic resource that can be used to improve the performance of common wheat by transferring favorable genes from a wide range of tetraploid or diploid donors. From the perspectives of physiology, cultivation, and molecular genetics, the use of SHW has the potential to increase wheat yield. Moreover, genomic variation and recombination were enhanced in newly formed SHW, which could generate more genovariation or new gene combinations compared to ancestral genomes. Accordingly, we presented a breeding strategy for the application of SHW-the 'large population with limited backcrossing method'-and we pyramided stripe rust resistance and big-spike-related QTLs/genes from SHW into new high-yield cultivars, which represents an important genetic basis of big-spike wheat in southwestern China. For further breeding applications of SHW-derived cultivars, we used the 'recombinant inbred line-based breeding method' that combines both phenotypic and genotypic evaluations to pyramid multi-spike and pre-harvest sprouting resistance QTLs/genes from other germplasms to SHW-derived cultivars; consequently, we created record-breaking high-yield wheat in southwestern China. To meet upcoming environmental challenges and continuous global demand for wheat production, SHW with broad genetic resources from wild donor species will play a major role in wheat breeding.
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20
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Zhao R, Liu B, Wan W, Jiang Z, Chen T, Wang L, Bie T. Mapping and characterization of a novel adult-plant leaf rust resistance gene LrYang16G216 via bulked segregant analysis and conventional linkage method. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2023; 136:1. [PMID: 36645449 DOI: 10.1007/s00122-023-04270-9] [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: 07/13/2022] [Accepted: 11/07/2022] [Indexed: 06/17/2023]
Abstract
A novel adult-plant leaf rust resistance gene LrYang16G216 on wheat chromosome 6BL was identified and mapped to a 0.59 cM genetic interval by BSA and conventional linkage method. Leaf rust (Puccinia triticina) is one of the most devastating fungal diseases of wheat (Triticum aestivum L.). Discovery and identification of new resistance genes is essential to develop disease-resistant cultivars. An advanced breeding line Yang16G216 was previously identified to confer adult-plant resistance (APR) to leaf rust. In this research, a recombinant inbred line (RIL) population was constructed from the cross between Yang16G216 and a highly susceptible line Yang16M6393, and genotyped with exome capture sequencing and 55 K SNP array. Through bulked segregant analysis (BSA) and genetic linkage mapping, a stable APR gene, designated as LrYang16G216, was detected and mapped to the distal region of chromosome arm 6BL with a genetic interval of 2.8 cM. For further verification, another RIL population derived from the cross between Yang16G216 and a susceptible wheat variety Yangmai 29 was analyzed using the enriched markers in the target interval, and LrYang16G216 was further narrowed to a 0.59 cM genetic interval flanked by the KASP markers Ax109403980 and Ax95083494, corresponding to the physical position 712.34-713.94 Mb in the Chinese Spring reference genome, in which twenty-six disease resistance-related genes were annotated. Based on leaf rust resistance spectrum, mapping data and physical location, LrYang16G216 was identified to be a novel and effective APR gene. The LrYang16G216 with linked markers will be useful for marker-assisted selection in wheat resistance breeding.
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Affiliation(s)
- Renhui Zhao
- Key Laboratory of Wheat Biology and Genetic Improvement On Low & Middle Yangtze River Valley Wheat Region (Ministry of Agriculture), Yangzhou Academy of Agricultural Sciences, Yangzhou, 225007, China
| | - Bingliang Liu
- Jiangsu Co-Innovation Center for Modern Production Technology of Grain Crops, Yangzhou University, Yangzhou, 225007, China
| | - Wentao Wan
- Key Laboratory of Wheat Biology and Genetic Improvement On Low & Middle Yangtze River Valley Wheat Region (Ministry of Agriculture), Yangzhou Academy of Agricultural Sciences, Yangzhou, 225007, China
| | - Zhengning Jiang
- Key Laboratory of Wheat Biology and Genetic Improvement On Low & Middle Yangtze River Valley Wheat Region (Ministry of Agriculture), Yangzhou Academy of Agricultural Sciences, Yangzhou, 225007, China
| | - Tiantian Chen
- Key Laboratory of Wheat Biology and Genetic Improvement On Low & Middle Yangtze River Valley Wheat Region (Ministry of Agriculture), Yangzhou Academy of Agricultural Sciences, Yangzhou, 225007, China
| | - Ling Wang
- Key Laboratory of Wheat Biology and Genetic Improvement On Low & Middle Yangtze River Valley Wheat Region (Ministry of Agriculture), Yangzhou Academy of Agricultural Sciences, Yangzhou, 225007, China
| | - Tongde Bie
- Key Laboratory of Wheat Biology and Genetic Improvement On Low & Middle Yangtze River Valley Wheat Region (Ministry of Agriculture), Yangzhou Academy of Agricultural Sciences, Yangzhou, 225007, China.
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21
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Cusaro CM, Grazioli C, Capelli E, Picco AM, Guarise M, Gozio E, Zarpellon P, Brusoni M. Involvement of miRNAs in Metabolic Herbicide Resistance to Bispyribac-Sodium in Echinochloa crus-galli (L.) P. Beauv. PLANTS (BASEL, SWITZERLAND) 2022; 11:3359. [PMID: 36501398 PMCID: PMC9736381 DOI: 10.3390/plants11233359] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/07/2022] [Revised: 11/25/2022] [Accepted: 11/29/2022] [Indexed: 06/17/2023]
Abstract
Several mechanisms involved in weed herbicide resistance are unknown, particularly those acting at the epigenetic level, such as the capacity of small-non-coding RNAs (sncRNAs) to target messenger RNAs of genes involved in herbicide detoxification. The transcription of these sncRNAs is stimulated by epigenetic factors, thereby affecting gene expression. This study was carried out in order to evaluate, for the first time in Echinochloa crus-galli (L.) P. Beauv. (barnyardgrass), the capacity of miRNAs to regulate the expression of genes associated with bispyribac-sodium detoxification. The expression profiles of eight miRNAs with a high degree of complementarity (≥80%) with mRNAs of genes involved in herbicide detoxification (CYP450, GST and eIF4B) were determined by qRT-PCR before and after herbicide spraying. Five of the miRNAs studied (gra-miR7487c, gma-miR396f, gra-miR8759, osa-miR395f, ath-miR847) showed an increased expression after herbicide application in both susceptible and resistant biotypes. All the miRNAs, except gra-miR8759, were more highly expressed in the herbicide-resistant biotypes. In specimens with increased expression of miRNAs, we observed reduced expression of the target genes. The remaining three miRNAs (ata-miR166c-5p, ath-miR396b-5p and osa-miR5538) showed no over-expression after herbicide treatment, and no difference in expression was recorded between susceptible and resistant biotypes. Our results represent a first overview of the capacity of miRNAs to regulate the expression of genes involved in bispyribac-sodium detoxification in the genus Echinochloa. Further research is required to identify novel miRNAs and target genes to develop more focused and sustainable strategies of weed control.
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Affiliation(s)
- Carlo Maria Cusaro
- Department of Earth and Environmental Sciences, University of Pavia, Via S. Epifanio 14, 27100 Pavia, Italy
| | - Carolina Grazioli
- Department of Earth and Environmental Sciences, University of Pavia, Via S. Epifanio 14, 27100 Pavia, Italy
| | - Enrica Capelli
- Department of Earth and Environmental Sciences, University of Pavia, Via S. Epifanio 14, 27100 Pavia, Italy
| | - Anna Maria Picco
- Department of Earth and Environmental Sciences, University of Pavia, Via S. Epifanio 14, 27100 Pavia, Italy
| | - Marta Guarise
- Agricola 2000 S.c.p.A., Via Trieste 9, 20067 Tribiano, Italy
| | - Enrico Gozio
- Agricola 2000 S.c.p.A., Via Trieste 9, 20067 Tribiano, Italy
| | | | - Maura Brusoni
- Department of Earth and Environmental Sciences, University of Pavia, Via S. Epifanio 14, 27100 Pavia, Italy
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22
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Pei H, Teng W, Gao L, Gao H, Ren X, Liu Y, Jia J, Tong Y, Wang Y, Lu Z. Low-affinity SPL binding sites contribute to subgenome expression divergence in allohexaploid wheat. SCIENCE CHINA LIFE SCIENCES 2022; 66:819-834. [PMID: 36417050 DOI: 10.1007/s11427-022-2202-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/02/2022] [Accepted: 09/22/2022] [Indexed: 11/24/2022]
Abstract
Expression divergence caused by genetic variation and crosstalks among subgenomes of the allohexaploid bread wheat (Triticum aestivum. L., BBAADD) is hypothesized to increase its adaptability and/or plasticity. However, the molecular basis of expression divergence remains unclear. Squamosa promoter-binding protein-like (SPL) transcription factors are critical for a wide array of biological processes. In this study, we constructed expression regulatory networks by combining DAP-seq for 40 SPLs, ATAC-seq, and RNA-seq. Our findings indicate that a group of low-affinity SPL binding regions (SBRs) were targeted by diverse SPLs and caused different sequence preferences around the core GTAC motif. The SBRs including the low-affinity ones are evolutionarily conserved, enriched GWAS signals related to important agricultural traits. However, those SBRs are highly diversified among the cis-regulatory regions (CREs) of syntenic genes, with less than 8% SBRs coexisting in triad genes, suggesting that CRE variations are critical for subgenome differentiations. Knocking out of TaSPL7A/B/D and TaSPL15A/B/D subfamily further proved that both high- and low-affinity SBRs played critical roles in the differential expression of genes regulating tiller number and spike sizes. Our results have provided baseline data for downstream networks of SPLs and wheat improvements and revealed that CRE variations are critical sources for subgenome divergence in the allohexaploid wheat.
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23
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Kuang L, Shen Q, Chen L, Ye L, Yan T, Chen ZH, Waugh R, Li Q, Huang L, Cai S, Fu L, Xing P, Wang K, Shao J, Wu F, Jiang L, Wu D, Zhang G. The genome and gene editing system of sea barleygrass provide a novel platform for cereal domestication and stress tolerance studies. PLANT COMMUNICATIONS 2022; 3:100333. [PMID: 35643085 PMCID: PMC9482977 DOI: 10.1016/j.xplc.2022.100333] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/03/2022] [Revised: 04/24/2022] [Accepted: 05/02/2022] [Indexed: 06/15/2023]
Abstract
The tribe Triticeae provides important staple cereal crops and contains elite wild species with wide genetic diversity and high tolerance to abiotic stresses. Sea barleygrass (Hordeum marinum Huds.), a wild Triticeae species, thrives in saline marshlands and is well known for its high tolerance to salinity and waterlogging. Here, a 3.82-Gb high-quality reference genome of sea barleygrass is assembled de novo, with 3.69 Gb (96.8%) of its sequences anchored onto seven chromosomes. In total, 41 045 high-confidence (HC) genes are annotated by homology, de novo prediction, and transcriptome analysis. Phylogenetics, non-synonymous/synonymous mutation ratios (Ka/Ks), and transcriptomic and functional analyses provide genetic evidence for the divergence in morphology and salt tolerance among sea barleygrass, barley, and wheat. The large variation in post-domestication genes (e.g. IPA1 and MOC1) may cause interspecies differences in plant morphology. The extremely high salt tolerance of sea barleygrass is mainly attributed to low Na+ uptake and root-to-shoot translocation, which are mainly controlled by SOS1, HKT, and NHX transporters. Agrobacterium-mediated transformation and CRISPR/Cas9-mediated gene editing systems were developed for sea barleygrass to promote its utilization for exploration and functional studies of hub genes and for the genetic improvement of cereal crops.
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Affiliation(s)
- Liuhui Kuang
- Department of Agronomy, Key Laboratory of Crop Germplasm Resource of Zhejiang Province, Zhejiang University, Hangzhou 310058, China
| | - Qiufang Shen
- Department of Agronomy, Key Laboratory of Crop Germplasm Resource of Zhejiang Province, Zhejiang University, Hangzhou 310058, China
| | - Liyang Chen
- Novogene Bioinformatics Institute, Beijing 100083, China
| | - Lingzhen Ye
- Department of Agronomy, Key Laboratory of Crop Germplasm Resource of Zhejiang Province, Zhejiang University, Hangzhou 310058, China
| | - Tao Yan
- College of Agronomy, Hunan Agricultural University, Changsha 410128, China
| | - Zhong-Hua Chen
- School of Science, Hawkesbury Institute for the Environment, Western Sydney University, Richmond, NSW 2753, Australia
| | - Robbie Waugh
- The James Hutton Institute, Dundee DD2 5DA, UK; The Division of Plant Sciences, School of Life Sciences, University of Dundee, Dundee DD2 5DA, UK; School of Agriculture and Wine & Waite Research Institute, University of Adelaide, Waite Campus, Glen Osmond, SA 5064, Australia
| | - Qi Li
- Department of Agronomy, Key Laboratory of Crop Germplasm Resource of Zhejiang Province, Zhejiang University, Hangzhou 310058, China
| | - Lu Huang
- Department of Agronomy, Key Laboratory of Crop Germplasm Resource of Zhejiang Province, Zhejiang University, Hangzhou 310058, China
| | - Shengguan Cai
- Department of Agronomy, Key Laboratory of Crop Germplasm Resource of Zhejiang Province, Zhejiang University, Hangzhou 310058, China
| | - Liangbo Fu
- Department of Agronomy, Key Laboratory of Crop Germplasm Resource of Zhejiang Province, Zhejiang University, Hangzhou 310058, China
| | - Pengwei Xing
- Novogene Bioinformatics Institute, Beijing 100083, China
| | - Kai Wang
- Novogene Bioinformatics Institute, Beijing 100083, China
| | - Jiari Shao
- Novogene Bioinformatics Institute, Beijing 100083, China
| | - Feibo Wu
- Department of Agronomy, Key Laboratory of Crop Germplasm Resource of Zhejiang Province, Zhejiang University, Hangzhou 310058, China
| | - Lixi Jiang
- Department of Agronomy, Key Laboratory of Crop Germplasm Resource of Zhejiang Province, Zhejiang University, Hangzhou 310058, China
| | - Dezhi Wu
- College of Agronomy, Hunan Agricultural University, Changsha 410128, China.
| | - Guoping Zhang
- Department of Agronomy, Key Laboratory of Crop Germplasm Resource of Zhejiang Province, Zhejiang University, Hangzhou 310058, China.
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24
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Wheat genomic study for genetic improvement of traits in China. SCIENCE CHINA. LIFE SCIENCES 2022; 65:1718-1775. [PMID: 36018491 DOI: 10.1007/s11427-022-2178-7] [Citation(s) in RCA: 55] [Impact Index Per Article: 27.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/10/2022] [Accepted: 08/10/2022] [Indexed: 01/17/2023]
Abstract
Bread wheat (Triticum aestivum L.) is a major crop that feeds 40% of the world's population. Over the past several decades, advances in genomics have led to tremendous achievements in understanding the origin and domestication of wheat, and the genetic basis of agronomically important traits, which promote the breeding of elite varieties. In this review, we focus on progress that has been made in genomic research and genetic improvement of traits such as grain yield, end-use traits, flowering regulation, nutrient use efficiency, and biotic and abiotic stress responses, and various breeding strategies that contributed mainly by Chinese scientists. Functional genomic research in wheat is entering a new era with the availability of multiple reference wheat genome assemblies and the development of cutting-edge technologies such as precise genome editing tools, high-throughput phenotyping platforms, sequencing-based cloning strategies, high-efficiency genetic transformation systems, and speed-breeding facilities. These insights will further extend our understanding of the molecular mechanisms and regulatory networks underlying agronomic traits and facilitate the breeding process, ultimately contributing to more sustainable agriculture in China and throughout the world.
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25
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Levy AA, Feldman M. Evolution and origin of bread wheat. THE PLANT CELL 2022; 34:2549-2567. [PMID: 35512194 PMCID: PMC9252504 DOI: 10.1093/plcell/koac130] [Citation(s) in RCA: 51] [Impact Index Per Article: 25.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/10/2021] [Accepted: 03/18/2022] [Indexed: 05/12/2023]
Abstract
Bread wheat (Triticum aestivum, genome BBAADD) is a young hexaploid species formed only 8,500-9,000 years ago through hybridization between a domesticated free-threshing tetraploid progenitor, genome BBAA, and Aegilops tauschii, the diploid donor of the D subgenome. Very soon after its formation, it spread globally from its cradle in the fertile crescent into new habitats and climates, to become a staple food of humanity. This extraordinary global expansion was probably enabled by allopolyploidy that accelerated genetic novelty through the acquisition of new traits, new intergenomic interactions, and buffering of mutations, and by the attractiveness of bread wheat's large, tasty, and nutritious grain with high baking quality. New genome sequences suggest that the elusive donor of the B subgenome is a distinct (unknown or extinct) species rather than a mosaic genome. We discuss the origin of the diploid and tetraploid progenitors of bread wheat and the conflicting genetic and archaeological evidence on where it was formed and which species was its free-threshing tetraploid progenitor. Wheat experienced many environmental changes throughout its evolution, therefore, while it might adapt to current climatic changes, efforts are needed to better use and conserve the vast gene pool of wheat biodiversity on which our food security depends.
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Huang S, Zhang Y, Ren H, Li X, Zhang X, Zhang Z, Zhang C, Liu S, Wang X, Zeng Q, Wang Q, Singh RP, Bhavani S, Wu J, Han D, Kang Z. Epistatic interaction effect between chromosome 1BL (Yr29) and a novel locus on 2AL facilitating resistance to stripe rust in Chinese wheat Changwu 357-9. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2022; 135:2501-2513. [PMID: 35723707 DOI: 10.1007/s00122-022-04133-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/11/2021] [Accepted: 05/18/2022] [Indexed: 06/15/2023]
Abstract
Four stable QTL for adult plant resistance were identified in wheat line Changwu 357-9, including a new QTL on 2AL showing significant interaction with Yr29 to reduce stripe rust severity. Stripe rust (yellow rust) is a serious disease of bread wheat (Triticum aestivum L.) worldwide. Genetic resistance is considered the most economical, effective and environmentally friendly method to control the disease and to minimize the use of fungicides. The current study focused on characterizing the components of stripe rust resistance and understanding the interactions in Changwu 357-9 (CW357-9)/Avocet S RIL population. A genetic linkage map constructed using a new GenoBaits Wheat 16K Panel and the 660K SNP array had 5104 polymorphic SNP markers spanning 3533.11 cM. Four stable QTL, consistently identified across five environments, were detected on chromosome arms 1BL, 2AL, 3DS, and 6BS in Changwu357-9. The most effective QTL QYrCW357-1BL was Yr29. The 6BS QTL was identified as Yr78, which has been combined with the 1BL QTL in many wheat cultivars and breeding lines. The novel QTL on 2AL with moderate effect showed a stable and significant epistatic interaction with Yr29. The QTL on 3DL should be same as QYrsn.nwafu-3DL and enriches the overall stripe rust resistance gene pool for breeding. Polymorphisms of flanking AQP markers AX-110020417 (for QYrCW357-1BL), AX-110974948 (for QYrCW357-2AL), AX-109466386 (for QYrCW357-3DL), and AX-109995005 (for QYrCW357-6BS) were evaluated in a diversity panel including 225 wheat cultivars and breeding lines. These results suggested that these high-throughput markers could be used to introduce QYrCW357-1BL, QYrCW357-2AL, QYrCW357-3DL, and QYrCW357-6BS into commercial wheat cultivars. Combinations of these genes with other APR QTL should lead to higher levels of stripe rust resistance along with the beneficial effects of multi-disease resistance gene Yr29 on improving resistance to other diseases.
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Affiliation(s)
- Shuo Huang
- State Key Laboratory of Crop Stress Biology for Arid Areas, Plant Protection, Northwest A&F University, Yangling, Shaanxi, 712100, People's Republic of China
| | - Yibo Zhang
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Agronomy, Northwest A&F University, Yangling, Shaanxi, 712100, People's Republic of China
| | - Hui Ren
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Agronomy, Northwest A&F University, Yangling, Shaanxi, 712100, People's Republic of China
| | - Xiang Li
- State Key Laboratory of Crop Stress Biology for Arid Areas, Plant Protection, Northwest A&F University, Yangling, Shaanxi, 712100, People's Republic of China
| | - Xin Zhang
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Agronomy, Northwest A&F University, Yangling, Shaanxi, 712100, People's Republic of China
| | - Zeyuan Zhang
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Agronomy, Northwest A&F University, Yangling, Shaanxi, 712100, People's Republic of China
| | - Chuanliang Zhang
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Agronomy, Northwest A&F University, Yangling, Shaanxi, 712100, People's Republic of China
| | - Shengjie Liu
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Agronomy, Northwest A&F University, Yangling, Shaanxi, 712100, People's Republic of China
| | - Xiaoting Wang
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Agronomy, Northwest A&F University, Yangling, Shaanxi, 712100, People's Republic of China
| | - Qingdong Zeng
- State Key Laboratory of Crop Stress Biology for Arid Areas, Plant Protection, Northwest A&F University, Yangling, Shaanxi, 712100, People's Republic of China
| | - Qilin Wang
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Agronomy, Northwest A&F University, Yangling, Shaanxi, 712100, People's Republic of China
| | - Ravi P Singh
- International Maize and Wheat Improvement Center (CIMMYT), 56237, El Batan, Texcoco, Estado de Mexico, Mexico
| | - Sridhar Bhavani
- International Maize and Wheat Improvement Center (CIMMYT), 56237, El Batan, Texcoco, Estado de Mexico, Mexico
| | - Jianhui Wu
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Agronomy, Northwest A&F University, Yangling, Shaanxi, 712100, People's Republic of China.
| | - Dejun Han
- State Key Laboratory of Crop Stress Biology for Arid Areas, College of Agronomy, Northwest A&F University, Yangling, Shaanxi, 712100, People's Republic of China.
| | - Zhensheng Kang
- State Key Laboratory of Crop Stress Biology for Arid Areas, Plant Protection, Northwest A&F University, Yangling, Shaanxi, 712100, People's Republic of China.
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Wang J, Zhang L, Wang J, Hao Y, Xiao Q, Teng J, Shen S, Zhang Y, Feng Y, Bao S, Li Y, Yan Z, Wei C, Wang L, Wang J. Conversion between duplicated genes generated by polyploidization contributes to the divergence of poplar and willow. BMC PLANT BIOLOGY 2022; 22:298. [PMID: 35710333 PMCID: PMC9205023 DOI: 10.1186/s12870-022-03684-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/24/2021] [Accepted: 06/06/2022] [Indexed: 06/15/2023]
Abstract
BACKGROUND Gene conversion has an important effect on duplicate genes produced by polyploidization. Poplar (Populus trichocarpa) and willow (Salix brachista) are leading models and excellent green plants in the Salicaceae. Although much attention has been paid to the evolution of duplicated genes in poplar and willow, the role of conversion between duplicates generated from polyploidization remains poorly understood. RESULTS Here, through genomic synteny analyses, we identified duplicate genes generated by the Salicaceae common tetraploidization (SCT) in the poplar and willow genomes. We estimated that at least 0.58% and 0.25% of poplar and willow duplicates were affected by whole-gene conversion after the poplar-willow divergence, with more (5.73% and 2.66%) affected by partial-gene conversion. Moreover, we found that the converted duplicated genes were unevenly distributed on each chromosome in the two genomes, and the well-preserved homoeologous chromosome regions may facilitate the conversion of duplicates. Notably, we found that conversion maintained the similarity of duplicates, likely contributing to the conservation of certain sequences, but is essentially accelerated the rate of evolution and increased species divergence. In addition, we found that converted duplicates tended to have more similar expression patterns than nonconverted duplicates. We found that genes associated with multigene families were preferentially converted. We also found that the genes encoding conserved structural domains associated with specific traits exhibited a high frequency of conversion. CONCLUSIONS Extensive conversion between duplicate genes generated from the SCT contributes to the diversification of the family Salicaceae and has had long-lasting effects on those genes with important biological functions.
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Affiliation(s)
- Jianyu Wang
- School of Life Sciences, and Center for Genomics and Computational Biology, North China University of Science and Technology, Tangshan, 063000, Hebei, China
| | - Lan Zhang
- School of Life Sciences, and Center for Genomics and Computational Biology, North China University of Science and Technology, Tangshan, 063000, Hebei, China
| | - Jiaqi Wang
- School of Life Sciences, and Center for Genomics and Computational Biology, North China University of Science and Technology, Tangshan, 063000, Hebei, China
| | - Yanan Hao
- School of Life Sciences, and Center for Genomics and Computational Biology, North China University of Science and Technology, Tangshan, 063000, Hebei, China
| | - Qimeng Xiao
- School of Life Sciences, and Center for Genomics and Computational Biology, North China University of Science and Technology, Tangshan, 063000, Hebei, China
| | - Jia Teng
- School of Life Sciences, and Center for Genomics and Computational Biology, North China University of Science and Technology, Tangshan, 063000, Hebei, China
| | - Shaoqi Shen
- School of Life Sciences, and Center for Genomics and Computational Biology, North China University of Science and Technology, Tangshan, 063000, Hebei, China
| | - Yan Zhang
- School of Life Sciences, and Center for Genomics and Computational Biology, North China University of Science and Technology, Tangshan, 063000, Hebei, China
| | - Yishan Feng
- School of Life Sciences, and Center for Genomics and Computational Biology, North China University of Science and Technology, Tangshan, 063000, Hebei, China
| | - Shoutong Bao
- School of Life Sciences, and Center for Genomics and Computational Biology, North China University of Science and Technology, Tangshan, 063000, Hebei, China
| | - Yu Li
- School of Life Sciences, and Center for Genomics and Computational Biology, North China University of Science and Technology, Tangshan, 063000, Hebei, China
| | - Zimo Yan
- School of Life Sciences, and Center for Genomics and Computational Biology, North China University of Science and Technology, Tangshan, 063000, Hebei, China
| | - Chendan Wei
- School of Life Sciences, and Center for Genomics and Computational Biology, North China University of Science and Technology, Tangshan, 063000, Hebei, China
| | - Li Wang
- School of Life Sciences, and Center for Genomics and Computational Biology, North China University of Science and Technology, Tangshan, 063000, Hebei, China.
| | - Jinpeng Wang
- School of Life Sciences, and Center for Genomics and Computational Biology, North China University of Science and Technology, Tangshan, 063000, Hebei, China.
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- State Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, Chinese Academy of Science, Beijing, 100093, China.
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28
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Chapman MA, He Y, Zhou M. Beyond a reference genome: pangenomes and population genomics of underutilized and orphan crops for future food and nutrition security. THE NEW PHYTOLOGIST 2022; 234:1583-1597. [PMID: 35318683 PMCID: PMC9994440 DOI: 10.1111/nph.18021] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/03/2022] [Accepted: 01/22/2022] [Indexed: 04/14/2023]
Abstract
Underutilized crops are, by definition, under-researched compared to staple crops yet come with traits that may be especially important given climate change and the need to feed a globally increasing population. These crops are often stress-tolerant, and this combined with unique and beneficial nutritional profiles. Whilst progress is being made by generating reference genome sequences, in this Tansley Review, we show how this is only the very first step. We advocate that going 'beyond a reference genome' should be a priority, as it is only at this stage one can identify the specific genes and the adaptive alleles that underpin the valuable traits. We sum up how population genomic and pangenomic approaches have led to the identification of stress- and disease-tolerant alleles in staple crops and compare this to the small number of examples from underutilized crops. We also demonstrate how previously underutilized crops have benefitted from genomic advances and that many breeding targets in underutilized crops are often well studied in staple crops. This cross-crop population-level resequencing could lead to an understanding of the genetic basis of adaptive traits in underutilized crops. This level of investment may be crucial for fully understanding the value of these crops before they are lost.
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Affiliation(s)
- Mark A. Chapman
- Biological SciencesUniversity of SouthamptonLife Sciences Building 85, Highfield CampusSouthamptonSO17 1BJUK
| | - Yuqi He
- Institute of Crop SciencesChinese Academy of Agricultural SciencesRoom 405, National Crop Gene Bank BuildingZhongguancun South Street No. 12Haidian DistrictBeijing100081China
| | - Meiliang Zhou
- Institute of Crop SciencesChinese Academy of Agricultural SciencesRoom 405, National Crop Gene Bank BuildingZhongguancun South Street No. 12Haidian DistrictBeijing100081China
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Wang X, Hu Y, He W, Yu K, Zhang C, Li Y, Yang W, Sun J, Li X, Zheng F, Zhou S, Kong L, Ling H, Zhao S, Liu D, Zhang A. Whole-genome resequencing of the wheat A subgenome progenitor Triticum urartu provides insights into its demographic history and geographic adaptation. PLANT COMMUNICATIONS 2022; 3:100345. [PMID: 35655430 PMCID: PMC9483109 DOI: 10.1016/j.xplc.2022.100345] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/02/2022] [Revised: 04/23/2022] [Accepted: 05/30/2022] [Indexed: 01/17/2023]
Abstract
Triticum urartu is the progenitor of the A subgenome in tetraploid and hexaploid wheat. Uncovering the landscape of genetic variations in T. urartu will help us understand the evolutionary and polyploid characteristics of wheat. Here, we investigated the population genomics of T. urartu by genome-wide sequencing of 59 representative accessions collected around the world. A total of 42.2 million high-quality single-nucleotide polymorphisms and 3 million insertions and deletions were obtained by mapping reads to the reference genome. The ancient T. urartu population experienced a significant reduction in effective population size (Ne) from ∼3 000 000 to ∼140 000 and subsequently split into eastern Mediterranean coastal and Mesopotamian-Transcaucasian populations during the Younger Dryas period. A map of allelic drift paths displayed splits and mixtures between different geographic groups, and a strong genetic drift towards hexaploid wheat was also observed, indicating that the direct donor of the A subgenome originated from northwestern Syria. Genetic changes were revealed between the eastern Mediterranean coastal and Mesopotamian-Transcaucasian populations in genes orthologous to those regulating plant development and stress responses. A genome-wide association study identified two single-nucleotide polymorphisms in the exonic regions of the SEMI-DWARF 37 ortholog that corresponded to the different T. urartu ecotype groups. Our study provides novel insights into the origin and genetic legacy of the A subgenome in polyploid wheat and contributes a gene repertoire for genomics-enabled improvements in wheat breeding.
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Affiliation(s)
- Xin Wang
- State Key Laboratory of Plant Cell and Chromosome Engineering, National Center for Plant Gene Research, Institute of Genetics and Developmental Biology/Innovation Academy of Seed Design, Chinese Academy of Sciences, Beijing, 100101, China; Institute of Vegetables, Zhejiang Academy of Agricultural Sciences, Hangzhou, 310021, China
| | - Yafei Hu
- BGI Genomics, BGI-Shenzhen, Shenzhen, 518083, China
| | - Weiming He
- BGI Genomics, BGI-Shenzhen, Shenzhen, 518083, China
| | - Kang Yu
- BGI Genomics, BGI-Shenzhen, Shenzhen, 518083, China; BGI Institute of Applied Agriculture, BGI-Agro, Shenzhen, 518120, China
| | - Chi Zhang
- BGI Genomics, BGI-Shenzhen, Shenzhen, 518083, China
| | - Yiwen Li
- State Key Laboratory of Plant Cell and Chromosome Engineering, National Center for Plant Gene Research, Institute of Genetics and Developmental Biology/Innovation Academy of Seed Design, Chinese Academy of Sciences, Beijing, 100101, China
| | - Wenlong Yang
- State Key Laboratory of Plant Cell and Chromosome Engineering, National Center for Plant Gene Research, Institute of Genetics and Developmental Biology/Innovation Academy of Seed Design, Chinese Academy of Sciences, Beijing, 100101, China
| | - Jiazhu Sun
- State Key Laboratory of Plant Cell and Chromosome Engineering, National Center for Plant Gene Research, Institute of Genetics and Developmental Biology/Innovation Academy of Seed Design, Chinese Academy of Sciences, Beijing, 100101, China
| | - Xin Li
- State Key Laboratory of Plant Cell and Chromosome Engineering, National Center for Plant Gene Research, Institute of Genetics and Developmental Biology/Innovation Academy of Seed Design, Chinese Academy of Sciences, Beijing, 100101, China
| | - Fengya Zheng
- BGI Genomics, BGI-Shenzhen, Shenzhen, 518083, China
| | - Shengjun Zhou
- Institute of Vegetables, Zhejiang Academy of Agricultural Sciences, Hangzhou, 310021, China
| | - Lingrang Kong
- State Key Laboratory of Crop Biology, Shandong Key Laboratory of Crop Biology, College of Agronomy, Shandong Agricultural University, Tai'an, 271018, China
| | - Hongqing Ling
- State Key Laboratory of Plant Cell and Chromosome Engineering, National Center for Plant Gene Research, Institute of Genetics and Developmental Biology/Innovation Academy of Seed Design, Chinese Academy of Sciences, Beijing, 100101, China
| | - Shancen Zhao
- BGI Genomics, BGI-Shenzhen, Shenzhen, 518083, China; BGI Institute of Applied Agriculture, BGI-Agro, Shenzhen, 518120, China.
| | - Dongcheng Liu
- State Key Laboratory of North China Crop Improvement and Regulation, College of Agronomy, Hebei Agricultural University, Baoding, 071001, China.
| | - Aimin Zhang
- State Key Laboratory of Plant Cell and Chromosome Engineering, National Center for Plant Gene Research, Institute of Genetics and Developmental Biology/Innovation Academy of Seed Design, Chinese Academy of Sciences, Beijing, 100101, China; State Key Laboratory of North China Crop Improvement and Regulation, College of Agronomy, Hebei Agricultural University, Baoding, 071001, China.
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30
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Ben-Abu Y, Itsko M. Metabolome dynamics during wheat domestication. Sci Rep 2022; 12:8532. [PMID: 35595776 PMCID: PMC9122938 DOI: 10.1038/s41598-022-11952-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2021] [Accepted: 04/25/2022] [Indexed: 11/09/2022] Open
Abstract
One of the most important crops worldwide is wheat. Wheat domestication took place about 10,000 years ago. Not only that its wild progenitors have been discovered and phenotypically characterized, but their genomes were also sequenced and compared to modern wheat. While comparative genomics is essential to track genes that contribute to improvement in crop yield, comparative analyses of functional biological end-products, such as metabolites, are still lacking. With the advent of rigorous mass-spectrometry technologies, it is now possible to address that problem on a big-data scale. In attempt to reveal classes of metabolites, which are associated with wheat domestication, we analyzed the metabolomes of wheat kernel samples from various wheat lines. These wheat lines represented subspecies of tetraploid wheat along primary and secondary domestications, including wild emmer, domesticated emmer, landraces durum, and modern durum. We detected that the groups of plant metabolites such as plant-defense metabolites, antioxidants and plant hormones underwent significant changes during wheat domestication. Our data suggest that these metabolites may have contributed to the improvement in the agricultural fitness of wheat. Closer evaluation of specific metabolic pathways may result in the future in genetically-engineered high-yield crops.
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Affiliation(s)
- Yuval Ben-Abu
- Department of Physics and Project Unit, Sapir Academic College, 79165, Sderot, Hof Ashkelon, Israel. .,Clarendon Laboratory, Department of Physics, University of Oxford, Oxford, UK.
| | - Mark Itsko
- WDS Inc., Contractor to Centers for Disease Control and Prevention, 1600 Clifton Road, Atlanta, GA, 30033, USA
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Hussain S, Habib M, Ahmed Z, Sadia B, Bernardo A, Amand PS, Bai G, Ghori N, Khan AI, Awan FS, Maqbool R. Genotyping-by-Sequencing Based Molecular Genetic Diversity of Pakistani Bread Wheat ( Triticum aestivum L.) Accessions. Front Genet 2022; 13:772517. [PMID: 35464861 PMCID: PMC9019749 DOI: 10.3389/fgene.2022.772517] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2021] [Accepted: 01/07/2022] [Indexed: 11/29/2022] Open
Abstract
Spring wheat (Triticum aestivum L.) is one of the most imperative staple food crops, with an annual production of 765 million tons globally to feed ∼40% world population. Genetic diversity in available germplasm is crucial for sustainable wheat improvement to ensure global food security. A diversity panel of 184 Pakistani wheat accessions was genotyped using 123,596 high-quality single nucleotide polymorphism (SNP) markers generated by genotyping-by-sequencing with 42% of the SNPs mapped on B, 36% on A, and 22% on D sub-genomes of wheat. Chromosome 2B contains the most SNPs (9,126), whereas 4D has the least (2,660) markers. The mean polymorphic information content, genetic diversity, and major allele frequency of the population were 0.157, 0.1844, and 0.87, respectively. Analysis of molecular variance revealed a higher genetic diversity (80%) within the sub-population than among the sub-populations (20%). The genome-wide linkage disequilibrium was 0.34 Mbp for the whole wheat genome. Among the three subgenomes, A has the highest LD decay value (0.29 Mbp), followed by B (0.2 Mbp) and D (0.07 Mbp) genomes, respectively. The results of population structure, principal coordinate analysis, phylogenetic tree, and kinship analysis also divided the whole population into three clusters comprising 31, 33, and 120 accessions in group 1, group 2, and group 3, respectively. All groups were dominated by the local wheat accessions. Estimation of genetic diversity will be a baseline for the selection of breeding parents for mutations and the genome-wide association and marker-assisted selection studies.
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Affiliation(s)
- Shabbir Hussain
- Center of Agricultural Biochemistry and Biotechnology, University of Agriculture, Faisalabad, Pakistan
| | - Madiha Habib
- Center of Agricultural Biochemistry and Biotechnology, University of Agriculture, Faisalabad, Pakistan
| | - Zaheer Ahmed
- Department of Plant Breeding and Genetics, University of Agriculture, Faisalabad, Pakistan
| | - Bushra Sadia
- Center of Agricultural Biochemistry and Biotechnology, University of Agriculture, Faisalabad, Pakistan
| | - Amy Bernardo
- USDA, Hard Winter Wheat Genetics Research Unit, Manhattan, KS, United States
| | - Paul St Amand
- USDA, Hard Winter Wheat Genetics Research Unit, Manhattan, KS, United States
| | - Guihua Bai
- USDA, Hard Winter Wheat Genetics Research Unit, Manhattan, KS, United States
| | - Nida Ghori
- USDA, Hard Winter Wheat Genetics Research Unit, Manhattan, KS, United States
| | - Azeem I Khan
- Department of Plant Breeding and Genetics, University of Agriculture, Faisalabad, Pakistan
| | - Faisal S Awan
- Center of Agricultural Biochemistry and Biotechnology, University of Agriculture, Faisalabad, Pakistan
| | - Rizwana Maqbool
- Department of Plant Breeding and Genetics, University of Agriculture, Faisalabad, Pakistan
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32
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Chu C, Wang S, Rudd JC, Ibrahim AMH, Xue Q, Devkota RN, Baker JA, Baker S, Simoneaux B, Opena G, Dong H, Liu X, Jessup KE, Chen MS, Hui K, Metz R, Johnson CD, Zhang ZS, Liu S. A new strategy for using historical imbalanced yield data to conduct genome-wide association studies and develop genomic prediction models for wheat breeding. MOLECULAR BREEDING : NEW STRATEGIES IN PLANT IMPROVEMENT 2022; 42:18. [PMID: 37309459 PMCID: PMC10248704 DOI: 10.1007/s11032-022-01287-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/31/2021] [Accepted: 03/02/2022] [Indexed: 06/14/2023]
Abstract
Using imbalanced historical yield data to predict performance and select new lines is an arduous breeding task. Genome-wide association studies (GWAS) and high throughput genotyping based on sequencing techniques can increase prediction accuracy. An association mapping panel of 227 Texas elite (TXE) wheat breeding lines was used for GWAS and a training population to develop prediction models for grain yield selection. An imbalanced set of yield data collected from 102 environments (year-by-location) over 10 years, through testing yield in 40-66 lines each year at 6-14 locations with 38-41 lines repeated in the test in any two consecutive years, was used. Based on correlations among data from different environments within two adjacent years and heritability estimated in each environment, yield data from 87 environments were selected and assigned to two correlation-based groups. The yield best linear unbiased estimation (BLUE) from each group, along with reaction to greenbug and Hessian fly in each line, was used for GWAS to reveal genomic regions associated with yield and insect resistance. A total of 74 genomic regions were associated with grain yield and two of them were commonly detected in both correlation-based groups. Greenbug resistance in TXE lines was mainly controlled by Gb3 on chromosome 7DL in addition to two novel regions on 3DL and 6DS, and Hessian fly resistance was conferred by the region on 1AS. Genomic prediction models developed in two correlation-based groups were validated using a set of 105 new advanced breeding lines and the model from correlation-based group G2 was more reliable for prediction. This research not only identified genomic regions associated with yield and insect resistance but also established the method of using historical imbalanced breeding data to develop a genomic prediction model for crop improvement. Supplementary Information The online version contains supplementary material available at 10.1007/s11032-022-01287-8.
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Affiliation(s)
- Chenggen Chu
- Texas A&M AgriLife Research Center, Amarillo, TX 79106 USA
- Sugarbeet & Potato Research Unit, Edward T. Schafer Agricultural Research Center, USDA-ARS, Fargo, ND 58102 USA
| | - Shichen Wang
- Genomics and Bioinformatics Service Center, Texas A&M AgriLife Research, College Station, TX 77843 USA
| | - Jackie C. Rudd
- Texas A&M AgriLife Research Center, Amarillo, TX 79106 USA
| | - Amir M. H. Ibrahim
- Soil and Crop Sciences Department, Texas A&M University, College Station, TX 77843 USA
| | - Qingwu Xue
- Texas A&M AgriLife Research Center, Amarillo, TX 79106 USA
| | | | - Jason A. Baker
- Texas A&M AgriLife Research Center, Amarillo, TX 79106 USA
| | - Shannon Baker
- Texas A&M AgriLife Research Center, Amarillo, TX 79106 USA
| | - Bryan Simoneaux
- Soil and Crop Sciences Department, Texas A&M University, College Station, TX 77843 USA
| | - Geraldine Opena
- Soil and Crop Sciences Department, Texas A&M University, College Station, TX 77843 USA
| | - Haixiao Dong
- Soil and Crop Sciences Department, Washington State University, Pullman, WA 99164 USA
| | - Xiaoxiao Liu
- Texas A&M AgriLife Research Center, Amarillo, TX 79106 USA
| | - Kirk E. Jessup
- Texas A&M AgriLife Research Center, Amarillo, TX 79106 USA
| | - Ming-Shun Chen
- Hard Winter Wheat Genetics Research Unit, USDA-ARS, Manhattan, KS 66506 USA
| | - Kele Hui
- Texas A&M AgriLife Research Center, Amarillo, TX 79106 USA
| | - Richard Metz
- Genomics and Bioinformatics Service Center, Texas A&M AgriLife Research, College Station, TX 77843 USA
| | - Charles D. Johnson
- Genomics and Bioinformatics Service Center, Texas A&M AgriLife Research, College Station, TX 77843 USA
| | - Zhiwu S. Zhang
- Soil and Crop Sciences Department, Washington State University, Pullman, WA 99164 USA
| | - Shuyu Liu
- Texas A&M AgriLife Research Center, Amarillo, TX 79106 USA
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33
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Li A, Hao C, Wang Z, Geng S, Jia M, Wang F, Han X, Kong X, Yin L, Tao S, Deng Z, Liao R, Sun G, Wang K, Ye X, Jiao C, Lu H, Zhou Y, Liu D, Fu X, Zhang X, Mao L. Wheat breeding history reveals synergistic selection of pleiotropic genomic sites for plant architecture and grain yield. MOLECULAR PLANT 2022; 15:504-519. [PMID: 35026438 DOI: 10.1016/j.molp.2022.01.004] [Citation(s) in RCA: 31] [Impact Index Per Article: 15.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/11/2021] [Revised: 11/24/2021] [Accepted: 01/07/2022] [Indexed: 05/10/2023]
Abstract
Diversity surveys of crop germplasm are important for gaining insights into the genomic basis for plant architecture and grain yield improvement, which is still poorly understood in wheat. In this study, we exome sequenced 287 wheat accessions that were collected in the past 100 years. Population genetics analysis identified that 6.7% of the wheat genome falls within the selective sweeps between landraces and cultivars, which harbors the genes known for yield improvement. These regions were asymmetrically distributed on the A and B subgenomes with regulatory genes being favorably selected. Genome-wide association study (GWAS) identified genomic loci associated with traits for yield potential, and two underlying genes, TaARF12 encoding an auxin response factor and TaDEP1 encoding the G-protein γ-subunit, were located and characterized to pleiotropically regulate both plant height and grain weight. Elite single-nucleotide haplotypes with increased allele frequency in cultivars relative to the landraces were identified and found to have accumulated over the course of breeding. Interestingly, we found that TaARF12 and TaDEP1 function in epistasis with the classical plant height Rht-1 locus, leading to propose a "Green Revolution"-based working model for historical wheat breeding. Collectively, our study identifies selection signatures that fine-tune the gibberellin pathway during modern wheat breeding and provides a wealth of genomic diversity resources for the wheat research community.
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Affiliation(s)
- Aili Li
- National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing 100081, China.
| | - Chenyang Hao
- National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Zhenyu Wang
- National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Shuaifeng Geng
- National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Meiling Jia
- National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Fang Wang
- National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Xiang Han
- The State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China
| | - Xingchen Kong
- National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Lingjie Yin
- National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Shu Tao
- National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Zhongyin Deng
- National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Ruyi Liao
- National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Guoliang Sun
- National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Ke Wang
- National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Xingguo Ye
- National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing 100081, China
| | - Chengzhi Jiao
- Novogene Bioinformatics Institute, Beijing 100083, China
| | - Hongfeng Lu
- Novogene Bioinformatics Institute, Beijing 100083, China
| | - Yun Zhou
- Collaborative Innovation Center of Crop Stress Biology & Institute of Plant Stress Biology, School of Life Science, Henan University, Kaifeng 475004, China
| | - Dengcai Liu
- Triticeae Research Institute, Sichuan Agricultural University, Chengdu, Sichuan 611130, China
| | - Xiangdong Fu
- The State Key Laboratory of Plant Cell and Chromosome Engineering, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China.
| | - Xueyong Zhang
- National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing 100081, China.
| | - Long Mao
- National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing 100081, China.
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Jing F, Miao Y, Zhang P, Chen T, Liu Y, Ma J, Li M, Yang D. Characterization of TaSPP-5A gene associated with sucrose content in wheat (Triticum aestivum L.). BMC PLANT BIOLOGY 2022; 22:58. [PMID: 35105304 PMCID: PMC8805233 DOI: 10.1186/s12870-022-03442-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/18/2021] [Accepted: 01/18/2022] [Indexed: 05/13/2023]
Abstract
BACKGROUND Sucrose, the major product of photosynthesis and the primary sugar transported as a soluble carbohydrate via the phloem, is a critical determinant for harvest yield in wheat crops. Sucrose-phosphatase (SPP) catalyzes the final step in the sucrose biosynthesis pathway, implying its essential role in the plant. RESULT In this study, wheat SPP homologs genes were isolated from chromosomes 5A, 5B, and 5D, designated as TaSPP-5A, TaSPP-5B, and TaSPP-5D, respectively. Sequence alignment showed one 1-bp Insertion-deletion (InDel) and three single nucleotide polymorphisms (SNPs) at TaSPP-5A coding region, forming two haplotypes, TaSPP-5Aa and TaSPP-5Ab, respectively. A derived cleaved amplified polymorphism sequence (dCAPS) marker, TaSPP-5A-dCAPS, was developed to discriminate allelic variation based on the polymorphism at position 1242 (C-T). A total of 158 varieties were used to perform a TaSPP-5A marker-trait association analysis, where two haplotypes were significantly associated with sucrose content in two environments and with thousand-grain weight (TGW) and grain length (GL) in three environments. Quantitative real-time PCR further revealed that TaSPP-5Aa showed relatively higher expression than TaSPP-5Ab in wheat seedling leaves, generally associating with increased sucrose content and TGW. The expression of TaSPP-5A and sucrose content in TaSPP-5Aa haplotypes were also higher than those in TaSPP-5Ab haplotypes under both 20% PEG-6000 and 100 μM ABA treatment. Sequence alignment showed that the two TaSPP-5A haplotypes comprised 11 SNPs from -395 to -1962 bp at TaSPP-5A promoter locus, participating in the formation of several conserved sequences, may account for the high expression of TaSPP-5A in TaSPP-5Aa haplotypes. In addition, the distribution analysis of TaSPP-5A haplotypes revealed that TaSPP-5Aa was preferred in the natural wheat population, being strongly positively selected in breeding programs. CONCLUSION According to the SNPs detected in the TaSPP-5A sequence, two haplotypes, TaSPP-5Aa and TaSPP-5Ab, were identified among wheat accessions, which potential value for sucrose content selection was validated by association analysis. Our results indicate that the favorable allelic variation TaSPP-5Aa should be valuable in enhancing grain yield by improving the sucrose content. Furthermore, a functional marker, TaSPP-5A-dCAPS, can be used for marker-assisted selection to improve grain weight in wheat and provides insights into the biological function of TaSPP-5A gene.
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Affiliation(s)
- Fanli Jing
- Gansu Provincial Key Lab of Aridland Crop Science, Lanzhou, 730070, Gansu, China
- College of Life Science and Technology, Gansu Agricultural University, Lanzhou, 730070, Gansu, China
| | - Yongping Miao
- Gansu Provincial Key Lab of Aridland Crop Science, Lanzhou, 730070, Gansu, China
- College of Life Science and Technology, Gansu Agricultural University, Lanzhou, 730070, Gansu, China
| | - Peipei Zhang
- Gansu Provincial Key Lab of Aridland Crop Science, Lanzhou, 730070, Gansu, China
| | - Tao Chen
- Gansu Provincial Key Lab of Aridland Crop Science, Lanzhou, 730070, Gansu, China
- College of Life Science and Technology, Gansu Agricultural University, Lanzhou, 730070, Gansu, China
| | - Yuan Liu
- Gansu Provincial Key Lab of Aridland Crop Science, Lanzhou, 730070, Gansu, China
- College of Life Science and Technology, Gansu Agricultural University, Lanzhou, 730070, Gansu, China
| | - Jingfu Ma
- Gansu Provincial Key Lab of Aridland Crop Science, Lanzhou, 730070, Gansu, China
- College of Life Science and Technology, Gansu Agricultural University, Lanzhou, 730070, Gansu, China
| | - Mengfei Li
- Gansu Provincial Key Lab of Aridland Crop Science, Lanzhou, 730070, Gansu, China
- College of Life Science and Technology, Gansu Agricultural University, Lanzhou, 730070, Gansu, China
| | - Delong Yang
- Gansu Provincial Key Lab of Aridland Crop Science, Lanzhou, 730070, Gansu, China.
- College of Life Science and Technology, Gansu Agricultural University, Lanzhou, 730070, Gansu, China.
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Gruet C, Muller D, Moënne-Loccoz Y. Significance of the Diversification of Wheat Species for the Assembly and Functioning of the Root-Associated Microbiome. Front Microbiol 2022; 12:782135. [PMID: 35058901 PMCID: PMC8764353 DOI: 10.3389/fmicb.2021.782135] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2021] [Accepted: 11/30/2021] [Indexed: 12/15/2022] Open
Abstract
Wheat, one of the major crops in the world, has had a complex history that includes genomic hybridizations between Triticum and Aegilops species and several domestication events, which resulted in various wild and domesticated species (especially Triticum aestivum and Triticum durum), many of them still existing today. The large body of information available on wheat-microbe interactions, however, was mostly obtained without considering the importance of wheat evolutionary history and its consequences for wheat microbial ecology. This review addresses our current understanding of the microbiome of wheat root and rhizosphere in light of the information available on pre- and post-domestication wheat history, including differences between wild and domesticated wheats, ancient and modern types of cultivars as well as individual cultivars within a given wheat species. This analysis highlighted two major trends. First, most data deal with the taxonomic diversity rather than the microbial functioning of root-associated wheat microbiota, with so far a bias toward bacteria and mycorrhizal fungi that will progressively attenuate thanks to the inclusion of markers encompassing other micro-eukaryotes and archaea. Second, the comparison of wheat genotypes has mostly focused on the comparison of T. aestivum cultivars, sometimes with little consideration for their particular genetic and physiological traits. It is expected that the development of current sequencing technologies will enable to revisit the diversity of the wheat microbiome. This will provide a renewed opportunity to better understand the significance of wheat evolutionary history, and also to obtain the baseline information needed to develop microbiome-based breeding strategies for sustainable wheat farming.
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Affiliation(s)
| | | | - Yvan Moënne-Loccoz
- Univ Lyon, Université Claude Bernard Lyon 1, Centre National de la Recherche Scientifique (CNRS), Institut National de la Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), VetAgro Sup, UMR 5557 Ecologie Microbienne, Villeurbanne, France
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Othmeni M, Grewal S, Walker J, Yang CY, King IP, King J. Assessing the Potential of Using the Langdon 5D(5B) Substitution Line for the Introgression of Aegilops tauschii Into Durum Wheat. FRONTIERS IN PLANT SCIENCE 2022; 13:927728. [PMID: 35873983 PMCID: PMC9302120 DOI: 10.3389/fpls.2022.927728] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/24/2022] [Accepted: 06/07/2022] [Indexed: 05/17/2023]
Abstract
Aegilops tauschii, the D-genome donor of hexaploid wheat, provides a source of genetic variation that could be used for tetraploid (durum) wheat improvement. In addition to the genes for wheat quality on the D-genome, which differentiate between bread and durum wheats in terms of end-use properties, genes coding for resistances to biotic and abiotic stresses are also present on the D-genome which would be useful in durum wheat. The introgression of Ae. tauschii into durum wheat, however, requires cytogenetic manipulation to induce homoeologous chromosome pairing to promote recombination. For this purpose, the introgression of Ae. tauschii into durum wheat was performed through a bridge cross of the wild species to the Langdon 5D(5B) disomic substitution line that lacks the Ph1 locus present on chromosome 5B, followed by a cross of the F1 to the durum wheat cultivar Om Rabi 5. Subsequent generations were self-fertilized, and these were screened for D-genome introgressions using (i) D-genome-specific Kompetitive Allele-Specific PCR (KASP) markers and (ii) KASP markers polymorphic between the 5D chromosomes of wheat, present in the Langdon 5D(5B) substitution line, and of Ae. tauschii. Homozygous introgression lines were confirmed using genomic and fluorescence in situ hybridization. The results showed that the use of the Langdon 5D(5B) disomic substitution line did not promote D-genome introgression across all linkage groups with only a limited success in the introgression of Ae. tauschii 5D segments into durum wheat.
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Khan SU, Saeed S, Khan MHU, Fan C, Ahmar S, Arriagada O, Shahzad R, Branca F, Mora-Poblete F. Advances and Challenges for QTL Analysis and GWAS in the Plant-Breeding of High-Yielding: A Focus on Rapeseed. Biomolecules 2021; 11:1516. [PMID: 34680149 PMCID: PMC8533950 DOI: 10.3390/biom11101516] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2021] [Revised: 10/07/2021] [Accepted: 10/11/2021] [Indexed: 12/15/2022] Open
Abstract
Yield is one of the most important agronomic traits for the breeding of rapeseed (Brassica napus L), but its genetic dissection for the formation of high yield remains enigmatic, given the rapid population growth. In the present review, we review the discovery of major loci underlying important agronomic traits and the recent advancement in the selection of complex traits. Further, we discuss the benchmark summary of high-throughput techniques for the high-resolution genetic breeding of rapeseed. Biparental linkage analysis and association mapping have become powerful strategies to comprehend the genetic architecture of complex agronomic traits in crops. The generation of improved crop varieties, especially rapeseed, is greatly urged to enhance yield productivity. In this sense, the whole-genome sequencing of rapeseed has become achievable to clone and identify quantitative trait loci (QTLs). Moreover, the generation of high-throughput sequencing and genotyping techniques has significantly enhanced the precision of QTL mapping and genome-wide association study (GWAS) methodologies. Furthermore, this study demonstrates the first attempt to identify novel QTLs of yield-related traits, specifically focusing on ovule number per pod (ON). We also highlight the recent breakthrough concerning single-locus-GWAS (SL-GWAS) and multi-locus GWAS (ML-GWAS), which aim to enhance the potential and robust control of GWAS for improved complex traits.
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Affiliation(s)
- Shahid Ullah Khan
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China; (S.U.K.); (S.S.); (M.H.U.K.)
| | - Sumbul Saeed
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China; (S.U.K.); (S.S.); (M.H.U.K.)
| | - Muhammad Hafeez Ullah Khan
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China; (S.U.K.); (S.S.); (M.H.U.K.)
| | - Chuchuan Fan
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China; (S.U.K.); (S.S.); (M.H.U.K.)
| | - Sunny Ahmar
- Institute of Biological Sciences, University of Talca, 1 Poniente 1141, Talca 3465548, Chile;
| | - Osvin Arriagada
- Departamento de Ciencias Vegetales, Facultad de Agronomía e Ingeniería Forestal, Pontificia Universidad Católica de Chile, Santiago 7820436, Chile;
| | - Raheel Shahzad
- Department of Biotechnology, Faculty of Science & Technology, Universitas Muhammadiyah Bandung, Bandung 40614, Indonesia;
| | - Ferdinando Branca
- Department of Agriculture, Food and Environment (Di3A), University of Catania, 95123 Catania, Italy;
| | - Freddy Mora-Poblete
- Institute of Biological Sciences, University of Talca, 1 Poniente 1141, Talca 3465548, Chile;
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Razzaq A, Wani SH, Saleem F, Yu M, Zhou M, Shabala S. Rewilding crops for climate resilience: economic analysis and de novo domestication strategies. JOURNAL OF EXPERIMENTAL BOTANY 2021; 72:6123-6139. [PMID: 34114599 DOI: 10.1093/jxb/erab276] [Citation(s) in RCA: 32] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/05/2021] [Accepted: 06/09/2021] [Indexed: 05/08/2023]
Abstract
To match predicted population growth, annual food production should be doubled by 2050. This is not achievable by current agronomical and breeding practices, due to the impact of climate changes and associated abiotic stresses on agricultural production systems. Here, we analyze the impact of global climate trends on crop productivity and show that the overall loss in crop production from climate-driven abiotic stresses may exceed US$170 billion year-1 and represents a major threat to global food security. We also show that abiotic stress tolerance had been present in wild progenitors of modern crops but was lost during their domestication. We argue for a major shift in our paradigm of crop breeding, focusing on climate resilience, and call for a broader use of wild relatives as a major tool in this process. We argue that, while molecular tools are currently in place to harness the potential of climate-resilient genes present in wild relatives, the complex polygenic nature of tolerance traits remains a major bottleneck in this process. Future research efforts should be focused not only on finding appropriate wild relatives but also on development of efficient cell-based high-throughput phenotyping platforms allowing assessment of the in planta operation of key genes.
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Affiliation(s)
- Ali Razzaq
- Centre of Agricultural Biochemistry and Biotechnology (CABB), University of Agriculture, Faisald 38040,Pakistan
| | - Shabir Hussain Wani
- Mountain Research Center for Field Crops, Khudwani, Sher-e-Kashmir University of Agricultural Sciences and Technology of Kashmir, J&K,India
| | - Fozia Saleem
- Centre of Agricultural Biochemistry and Biotechnology (CABB), University of Agriculture, Faisald 38040,Pakistan
| | - Min Yu
- International Research Centre for Environmental Membrane Biology, Foshan University, Foshan 528000,China
| | - Meixue Zhou
- Tasmanian Institute of Agriculture, University of Tasmania, Hobart, Tas 7001,Australia
| | - Sergey Shabala
- International Research Centre for Environmental Membrane Biology, Foshan University, Foshan 528000,China
- Tasmanian Institute of Agriculture, University of Tasmania, Hobart, Tas 7001,Australia
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Yang C, Zhao Q, Wang Y, Zhao J, Qiao L, Wu B, Yan S, Zheng J, Zheng X. Comparative Analysis of Genomic and Transcriptome Sequences Reveals Divergent Patterns of Codon Bias in Wheat and Its Ancestor Species. Front Genet 2021; 12:732432. [PMID: 34490050 PMCID: PMC8417831 DOI: 10.3389/fgene.2021.732432] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2021] [Accepted: 07/29/2021] [Indexed: 11/29/2022] Open
Abstract
The synonymous codons usage shows a characteristic pattern of preference in each organism. This codon usage bias is thought to have evolved for efficient protein synthesis. Synonymous codon usage was studied in genes of the hexaploid wheat Triticum aestivum (AABBDD) and its progenitor species, Triticum urartu (AA), Aegilops tauschii (DD), and Triticum turgidum (AABB). Triticum aestivum exhibited stronger usage bias for G/C-ending codons than did the three progenitor species, and this bias was especially higher compared to T. turgidum and Ae. tauschii. High GC content is a primary factor influencing codon usage in T. aestivum. Neutrality analysis showed a significant positive correlation (p<0.001) between GC12 and GC3 in the four species with regression line slopes near zero (0.16–0.20), suggesting that the effect of mutation on codon usage was only 16–20%. The GC3s values of genes were associated with gene length and distribution density within chromosomes. tRNA abundance data indicated that codon preference corresponded to the relative abundance of isoaccepting tRNAs in the four species. Both mutation and selection have affected synonymous codon usage in hexaploid wheat and its progenitor species. GO enrichment showed that GC biased genes were commonly enriched in physiological processes such as photosynthesis and response to acid chemical. In some certain gene families with important functions, the codon usage of small parts of genes has changed during the evolution process of T. aestivum.
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Affiliation(s)
- Chenkang Yang
- School of Life Science, Shanxi University, Taiyuan, China
| | - Qi Zhao
- School of Life Science, Shanxi University, Taiyuan, China
| | - Ying Wang
- School of Life Science, Shanxi University, Taiyuan, China
| | - Jiajia Zhao
- State Key Laboratory of Sustainable Dryland Agriculture, Institute of Wheat Research, Shanxi Agricultural University, Linfen, China
| | - Ling Qiao
- State Key Laboratory of Sustainable Dryland Agriculture, Institute of Wheat Research, Shanxi Agricultural University, Linfen, China
| | - Bangbang Wu
- State Key Laboratory of Sustainable Dryland Agriculture, Institute of Wheat Research, Shanxi Agricultural University, Linfen, China
| | - Suxian Yan
- State Key Laboratory of Sustainable Dryland Agriculture, Institute of Wheat Research, Shanxi Agricultural University, Linfen, China
| | - Jun Zheng
- School of Life Science, Shanxi University, Taiyuan, China.,State Key Laboratory of Sustainable Dryland Agriculture, Institute of Wheat Research, Shanxi Agricultural University, Linfen, China
| | - Xingwei Zheng
- School of Life Science, Shanxi University, Taiyuan, China.,State Key Laboratory of Sustainable Dryland Agriculture, Institute of Wheat Research, Shanxi Agricultural University, Linfen, China
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40
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Ebrahimzadegan R, Orooji F, Ma P, Mirzaghaderi G. Differentially Amplified Repetitive Sequences Among Aegilops tauschii Subspecies and Genotypes. FRONTIERS IN PLANT SCIENCE 2021; 12:716750. [PMID: 34490015 PMCID: PMC8417419 DOI: 10.3389/fpls.2021.716750] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/29/2021] [Accepted: 07/27/2021] [Indexed: 06/13/2023]
Abstract
Genomic repetitive sequences commonly show species-specific sequence type, abundance, and distribution patterns, however, their intraspecific characteristics have been poorly described. We quantified the genomic repetitive sequences and performed single nucleotide polymorphism (SNP) analysis between 29 Ae. tauschii genotypes and subspecies using publicly available raw genomic Illumina sequence reads and used fluorescence in situ hybridization (FISH) to experimentally analyze some repeats. The majority of the identified repetitive sequences had similar contents and proportions between anathera, meyeri, and strangulata subspecies. However, two Ty3/gypsy retrotransposons (CL62 and CL87) showed significantly higher abundances, and CL1, CL119, CL213, CL217 tandem repeats, and CL142 retrotransposon (Ty1/copia type) showed significantly lower abundances in subspecies strangulata compared with the subspecies anathera and meyeri. One tandem repeat and 45S ribosomal DNA (45S rDNA) abundances showed a high variation between genotypes but their abundances were not subspecies specific. Phylogenetic analysis using the repeat abundances of the aforementioned clusters placed the strangulata subsp. in a distinct clade but could not discriminate anathera and meyeri. A near complete differentiation of anathera and strangulata subspecies was observed using SNP analysis; however, var. meyeri showed higher genetic diversity. FISH using major tandem repeats couldn't detect differences between subspecies, although (GAA)10 signal patterns generated two different karyotype groups. Taken together, the different classes of repetitive DNA sequences have differentially accumulated between strangulata and the other two subspecies of Ae. tauschii that is generally in agreement with spike morphology, implying that factors affecting repeatome evolution are variable even among highly closely related lineages.
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Affiliation(s)
- Rahman Ebrahimzadegan
- Department of Agronomy and Plant Breeding, Faculty of Agriculture, University of Kurdistan, Sanandaj, Iran
| | - Fatemeh Orooji
- Department of Agronomy and Plant Breeding, Faculty of Agriculture, University of Kurdistan, Sanandaj, Iran
| | - Pengtao Ma
- College of Life Sciences, Yantai University, Yantai, China
| | - Ghader Mirzaghaderi
- Department of Agronomy and Plant Breeding, Faculty of Agriculture, University of Kurdistan, Sanandaj, Iran
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Xing L, Yuan L, Lv Z, Wang Q, Yin C, Huang Z, Liu J, Cao S, Zhang R, Chen P, Karafiátová M, Vrána J, Bartoš J, Doležel J, Cao A. Long-range assembly of sequences helps to unravel the genome structure and small variation of the wheat-Haynaldia villosa translocated chromosome 6VS.6AL. PLANT BIOTECHNOLOGY JOURNAL 2021; 19:1567-1578. [PMID: 33606347 PMCID: PMC8384597 DOI: 10.1111/pbi.13570] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/25/2020] [Accepted: 02/06/2021] [Indexed: 05/07/2023]
Abstract
Genomics studies in wild species of wheat have been limited due to the lack of references; however, new technologies and bioinformatics tools have much potential to promote genomic research. The wheat-Haynaldia villosa translocation line T6VS·6AL has been widely used as a backbone parent of wheat breeding in China. Therefore, revealing the genome structure of translocation chromosome 6VS·6AL will clarify how this chromosome formed and will help to determine how it affects agronomic traits. In this study, chromosome flow sorting, NGS sequencing and Chicago long-range linkage assembly were innovatively used to produce the assembled sequences of 6VS·6AL, and gene prediction and genome structure characterization at the molecular level were effectively performed. The analysis discovered that the short arm of 6VS·6AL was actually composed of a large distal segment of 6VS, a small proximal segment of 6AS and the centromere of 6A, while the collinear region in 6VS corresponding to 230-260 Mb of 6AS-Ta was deleted when the recombination between 6VS and 6AS occurred. In addition to the molecular mechanism of the increased grain weight and enhanced spike length produced by the translocation chromosome, it may be correlated with missing GW2-V and an evolved NRT-V cluster. Moreover, a fine physical bin map of 6VS was constructed by the high-throughput developed 6VS-specific InDel markers and a series of newly identified small fragment translocation lines involving 6VS. This study will provide essential information for mining of new alien genes carried by the 6VS·6AL translocation chromosome.
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Affiliation(s)
- Liping Xing
- National Key Laboratory of Crop Genetics and Germplasm EnhancementCytogenetics InstituteNanjing Agricultural University/JCIC‐MCPNanjingChina
| | - Lu Yuan
- National Key Laboratory of Crop Genetics and Germplasm EnhancementCytogenetics InstituteNanjing Agricultural University/JCIC‐MCPNanjingChina
| | - Zengshuai Lv
- National Key Laboratory of Crop Genetics and Germplasm EnhancementCytogenetics InstituteNanjing Agricultural University/JCIC‐MCPNanjingChina
| | - Qiang Wang
- National Key Laboratory of Crop Genetics and Germplasm EnhancementCytogenetics InstituteNanjing Agricultural University/JCIC‐MCPNanjingChina
| | - Chunhong Yin
- National Key Laboratory of Crop Genetics and Germplasm EnhancementCytogenetics InstituteNanjing Agricultural University/JCIC‐MCPNanjingChina
| | - Zhenpu Huang
- National Key Laboratory of Crop Genetics and Germplasm EnhancementCytogenetics InstituteNanjing Agricultural University/JCIC‐MCPNanjingChina
| | - Jiaqian Liu
- National Key Laboratory of Crop Genetics and Germplasm EnhancementCytogenetics InstituteNanjing Agricultural University/JCIC‐MCPNanjingChina
| | - Shuqi Cao
- National Key Laboratory of Crop Genetics and Germplasm EnhancementCytogenetics InstituteNanjing Agricultural University/JCIC‐MCPNanjingChina
| | - Ruiqi Zhang
- National Key Laboratory of Crop Genetics and Germplasm EnhancementCytogenetics InstituteNanjing Agricultural University/JCIC‐MCPNanjingChina
| | - Peidu Chen
- National Key Laboratory of Crop Genetics and Germplasm EnhancementCytogenetics InstituteNanjing Agricultural University/JCIC‐MCPNanjingChina
| | - Miroslava Karafiátová
- Institute of Experimental Botany of the Czech Academy of SciencesCentre of the Region Haná for Biotechnological and Agricultural ResearchOlomoucCzech Republic
| | - Jan Vrána
- Institute of Experimental Botany of the Czech Academy of SciencesCentre of the Region Haná for Biotechnological and Agricultural ResearchOlomoucCzech Republic
| | - Jan Bartoš
- Institute of Experimental Botany of the Czech Academy of SciencesCentre of the Region Haná for Biotechnological and Agricultural ResearchOlomoucCzech Republic
| | - Jaroslav Doležel
- Institute of Experimental Botany of the Czech Academy of SciencesCentre of the Region Haná for Biotechnological and Agricultural ResearchOlomoucCzech Republic
| | - Aizhong Cao
- National Key Laboratory of Crop Genetics and Germplasm EnhancementCytogenetics InstituteNanjing Agricultural University/JCIC‐MCPNanjingChina
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Si Z, Qiao Y, Zhang K, Ji Z, Han J. Characterization of Nucleotide Binding -Site-Encoding Genes in Sweetpotato, Ipomoea batatas(L.) Lam., and Their Response to Biotic and Abiotic Stresses. Cytogenet Genome Res 2021; 161:257-271. [PMID: 34320507 DOI: 10.1159/000515834] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2021] [Accepted: 03/12/2021] [Indexed: 11/19/2022] Open
Abstract
Sweetpotato, Ipomoea batatas (L.) Lam., is an important and widely grown crop, yet its production is affected severely by biotic and abiotic stresses. The nucleotide binding site (NBS)-encoding genes have been shown to improve stress tolerance in several plant species. However, the characterization of NBS-encoding genes in sweetpotato is not well-documented to date. In this study, a comprehensive analysis of NBS-encoding genes has been conducted on this species by using bioinformatics and molecular biology methods. A total of 315 NBS-encoding genes were identified, and 260 of them contained all essential conserved domains while 55 genes were truncated. Based on domain architectures, the 260 NBS-encoding genes were grouped into 6 distinct categories. Phylogenetic analysis grouped these genes into 3 classes: TIR, CC (I), and CC (II). Chromosome location analysis revealed that the distribution of NBS-encoding genes in chromosomes was uneven, with a number ranging from 1 to 34. Multiple stress-related regulatory elements were detected in the promoters, and the NBS-encoding genes' expression profiles under biotic and abiotic stresses were obtained. According to the bioinformatics analysis, 9 genes were selected for RT-qPCR analysis. The results revealed that IbNBS75, IbNBS219, and IbNBS256 respond to stem nematode infection; Ib-NBS240, IbNBS90, and IbNBS80 respond to cold stress, while IbNBS208, IbNBS71, and IbNBS159 respond to 30% PEG treatment. We hope these results will provide new insights into the evolution of NBS-encoding genes in the sweetpotato genome and contribute to the molecular breeding of sweetpotato in the future.
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Affiliation(s)
- Zengzhi Si
- Hebei Key Laboratory of Crop Stress Biology, Hebei Normal University of Science and Technology, Qinhuangdao, China
| | - Yake Qiao
- Hebei Key Laboratory of Crop Stress Biology, Hebei Normal University of Science and Technology, Qinhuangdao, China
| | - Kai Zhang
- Hebei Key Laboratory of Crop Stress Biology, Hebei Normal University of Science and Technology, Qinhuangdao, China
| | - Zhixin Ji
- Hebei Key Laboratory of Crop Stress Biology, Hebei Normal University of Science and Technology, Qinhuangdao, China
| | - Jinling Han
- Hebei Key Laboratory of Crop Stress Biology, Hebei Normal University of Science and Technology, Qinhuangdao, China
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Li S, Zhang C, Li J, Yan L, Wang N, Xia L. Present and future prospects for wheat improvement through genome editing and advanced technologies. PLANT COMMUNICATIONS 2021; 2:100211. [PMID: 34327324 PMCID: PMC8299080 DOI: 10.1016/j.xplc.2021.100211] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/26/2021] [Revised: 05/15/2021] [Accepted: 06/03/2021] [Indexed: 05/03/2023]
Abstract
Wheat (Triticum aestivum, 2n = 6x = 42, AABBDD) is one of the most important staple food crops in the world. Despite the fact that wheat production has significantly increased over the past decades, future wheat production will face unprecedented challenges from global climate change, increasing world population, and water shortages in arid and semi-arid lands. Furthermore, excessive applications of diverse fertilizers and pesticides are exacerbating environmental pollution and ecological deterioration. To ensure global food and ecosystem security, it is essential to enhance the resilience of wheat production while minimizing environmental pollution through the use of cutting-edge technologies. However, the hexaploid genome and gene redundancy complicate advances in genetic research and precision gene modifications for wheat improvement, thus impeding the breeding of elite wheat cultivars. In this review, we first introduce state-of-the-art genome-editing technologies in crop plants, especially wheat, for both functional genomics and genetic improvement. We then outline applications of other technologies, such as GWAS, high-throughput genotyping and phenotyping, speed breeding, and synthetic biology, in wheat. Finally, we discuss existing challenges in wheat genome editing and future prospects for precision gene modifications using advanced genome-editing technologies. We conclude that the combination of genome editing and other molecular breeding strategies will greatly facilitate genetic improvement of wheat for sustainable global production.
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Affiliation(s)
- Shaoya Li
- Institute of Crop Sciences (ICS), Chinese Academy of Agricultural Sciences (CAAS), Beijing 100081, China
| | - Chen Zhang
- Institute of Crop Sciences (ICS), Chinese Academy of Agricultural Sciences (CAAS), Beijing 100081, China
| | - Jingying Li
- Institute of Crop Sciences (ICS), Chinese Academy of Agricultural Sciences (CAAS), Beijing 100081, China
| | - Lei Yan
- Institute of Crop Sciences (ICS), Chinese Academy of Agricultural Sciences (CAAS), Beijing 100081, China
| | - Ning Wang
- Institute of Crop Sciences (ICS), Chinese Academy of Agricultural Sciences (CAAS), Beijing 100081, China
| | - Lanqin Xia
- Institute of Crop Sciences (ICS), Chinese Academy of Agricultural Sciences (CAAS), Beijing 100081, China
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Ling J, Xie X, Gu X, Zhao J, Ping X, Li Y, Yang Y, Mao Z, Xie B. High-quality chromosome-level genomes of Cucumis metuliferus and Cucumis melo provide insight into Cucumis genome evolution. THE PLANT JOURNAL : FOR CELL AND MOLECULAR BIOLOGY 2021; 107:136-148. [PMID: 33866620 DOI: 10.1111/tpj.15279] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/10/2020] [Revised: 03/18/2021] [Accepted: 03/28/2021] [Indexed: 06/12/2023]
Abstract
Cucumis metuliferus (African horned cucumber), a wild relative of Cucumis sativus (cucumber) and Cucumis melo (melon), displays high-level resistance to several important plant pathogens (e.g., root-knot nematodes and several viruses). Here, we report a chromosome-level genome assembly for C. metuliferus, with a 316 Mb genome sequence comprising 29 039 genes. Phylogenetic analysis of related species in family Cucurbitaceae indicated that the divergence time between C. metuliferus and melon was 17.8 million years ago. Comparisons between the C. metuliferus and melon genomes revealed large structural variations (inversions and translocations >1 Mb) in eight chromosomes of these two species. Gene family comparison showed that C. metuliferus has the largest number of resistance-related nucleotide-binding site leucine-rich repeat (NBS-LRR) genes in Cucurbitaceae. The loss of NBS-LRR loci caused by large insertions or deletions (indels) and pseudogenization caused by small indels explained the loss of NBS-LRR genes in Cucurbitaceae. Population structure analysis suggested that C. metuliferus originated in Zimbabwe, then spread to other southern African regions where it likely underwent similar domestic selection as melon. This C. metuliferus reference sequence will accelerate the understanding of the molecular evolution of resistance-related genes and enhance cucurbit crop improvement efforts.
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Affiliation(s)
- Jian Ling
- Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, 12 Zhongguancun South Street, Beijing, 100081, China
| | - Xiaoxiao Xie
- Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, 12 Zhongguancun South Street, Beijing, 100081, China
| | - Xingfang Gu
- Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, 12 Zhongguancun South Street, Beijing, 100081, China
| | - Jianlong Zhao
- Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, 12 Zhongguancun South Street, Beijing, 100081, China
| | - Xingxing Ping
- Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, 12 Zhongguancun South Street, Beijing, 100081, China
| | - Yan Li
- Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, 12 Zhongguancun South Street, Beijing, 100081, China
| | - Yuhong Yang
- Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, 12 Zhongguancun South Street, Beijing, 100081, China
| | - Zhenchuan Mao
- Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, 12 Zhongguancun South Street, Beijing, 100081, China
| | - Bingyan Xie
- Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, 12 Zhongguancun South Street, Beijing, 100081, China
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Mahlandt A, Rawat N, Leonard J, Venglat P, Datla R, Meier N, Gill BS, Riera-Lizarazu O, Coleman G, Murphy AS, Tiwari VK. High-resolution mapping of the Mov-1 locus in wheat by combining radiation hybrid (RH) and recombination-based mapping approaches. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2021; 134:2303-2314. [PMID: 33830295 DOI: 10.1007/s00122-021-03827-w] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/04/2021] [Accepted: 03/29/2021] [Indexed: 06/12/2023]
Abstract
This work reports a quick method that integrates RH mapping and genetic mapping to map the dominant Mov-1 locus to a 1.1-Mb physical interval with a small number of candidate genes. Bread wheat is an important crop for global human population. Identification of genes and alleles controlling agronomic traits is essential toward sustainably increasing crop production. The unique multi-ovary (MOV) trait in wheat holds potential for improving yields and is characterized by the formation of 2-3 grains per spikelet. The genetic basis of the multi-ovary trait is known to be monogenic and dominant in nature. Its precise mapping and functional characterization is critical to utilizing this trait in a feasible manner. Previous mapping efforts of the locus controlling multiple ovary/pistil formation in the hexaploid wheat have failed to produce a consensus for a particular chromosome. We describe a mapping strategy integrating radiation hybrid mapping and high-resolution genetic mapping to locate the chromosomal position of the Mov-1 locus in hexaploid wheat. We used RH mapping approach using a panel of 188 lines to map the Mov-1 locus in the terminal part of long arm of wheat chromosome 2D with a map resolution of 1.67 Mb/cR1500. Then using a genetic population of MOV × Synthetic wheat of F2 lines, we delineated the Mov-1 locus to a 1.1-Mb physical region with a small number of candidate genes. This demonstrates the value of this integrated strategy to mapping dominant genes in wheat.
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Affiliation(s)
- Alexander Mahlandt
- Department of Plant Science and Landscape Architecture, University of Maryland, College Park, USA
| | - Nidhi Rawat
- Department of Plant Science and Landscape Architecture, University of Maryland, College Park, USA
| | - Jeff Leonard
- Department of Crop and Soil Sciences, Oregon State University, Corvallis, OR, USA
| | - Prakash Venglat
- Global Institute for Food Security, University of Saskatchewan, Saskatoon, Canada
| | - Raju Datla
- Global Institute for Food Security, University of Saskatchewan, Saskatoon, Canada
| | - Nathan Meier
- Department of Plant Biology, University of California, Davis, CA, USA
| | - Bikram S Gill
- Department of Plant Pathology, Kansas State University, Manhattan, KS, USA
| | | | - Gary Coleman
- Department of Plant Science and Landscape Architecture, University of Maryland, College Park, USA
| | - Angus S Murphy
- Department of Plant Science and Landscape Architecture, University of Maryland, College Park, USA
| | - Vijay K Tiwari
- Department of Plant Science and Landscape Architecture, University of Maryland, College Park, USA.
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46
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Mi X, Feng G, Hu Y, Zhang J, Chen L, Corlett RT, Hughes AC, Pimm S, Schmid B, Shi S, Svenning JC, Ma K. The global significance of biodiversity science in China: an overview. Natl Sci Rev 2021; 8:nwab032. [PMID: 34694304 PMCID: PMC8310773 DOI: 10.1093/nsr/nwab032] [Citation(s) in RCA: 36] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2020] [Revised: 01/03/2021] [Accepted: 02/14/2021] [Indexed: 01/13/2023] Open
Abstract
Biodiversity science in China has seen rapid growth over recent decades, ranging from baseline biodiversity studies to understanding the processes behind evolution across dynamic regions such as the Qinghai-Tibetan Plateau. We review research, including species catalogues; biodiversity monitoring; the origins, distributions, maintenance and threats to biodiversity; biodiversity-related ecosystem function and services; and species and ecosystems' responses to global change. Next, we identify priority topics and offer suggestions and priorities for future biodiversity research in China. These priorities include (i) the ecology and biogeography of the Qinghai-Tibetan Plateau and surrounding mountains, and that of subtropical and tropical forests across China; (ii) marine and inland aquatic biodiversity; and (iii) effective conservation and management to identify and maintain synergies between biodiversity and socio-economic development to fulfil China's vision for becoming an ecological civilization. In addition, we propose three future strategies: (i) translate advanced biodiversity science into practice for biodiversity conservation; (ii) strengthen capacity building and application of advanced technologies, including high-throughput sequencing, genomics and remote sensing; and (iii) strengthen and expand international collaborations. Based on the recent rapid progress of biodiversity research, China is well positioned to become a global leader in biodiversity research in the near future.
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Affiliation(s)
- Xiangcheng Mi
- State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China
| | - Gang Feng
- Ministry of Education Key Laboratory of Ecology and Resource Use of the Mongolian Plateau and Inner Mongolia Key Laboratory of Grassland Ecology, School of Ecology and Environment, Inner Mongolia University, Hohhot 010021, China
| | - Yibo Hu
- Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China
| | - Jian Zhang
- Zhejiang Tiantong Forest Ecosystem National Observation and Research Station, School of Ecological and Environmental Sciences, East China Normal University, Shanghai 200241, China
| | - Lei Chen
- State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China
| | - Richard T Corlett
- Center for Integrative Conservation, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Menglun 666303, China
- Center of Conservation Biology, Core Botanical Gardens, Chinese Academy of Sciences, Menglun, 666303, China
| | - Alice C Hughes
- Center for Integrative Conservation, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Menglun 666303, China
- Center of Conservation Biology, Core Botanical Gardens, Chinese Academy of Sciences, Menglun, 666303, China
| | - Stuart Pimm
- Nicholas School of the Environment, Duke University, Durham, NC 27708, USA
| | - Bernhard Schmid
- Department of Geography, Remote Sensing Laboratories, University of Zurich, Zurich 8057, Switzerland
| | - Suhua Shi
- State Key Laboratory of Biocontrol, Guangdong Key Laboratory of Plant Resources, Key Laboratory of Biodiversity Dynamics and Conservation of Guangdong Higher Education Institutes, School of Life Sciences, Sun Yat-Sen University, Guangzhou 510275, China
| | - Jens-Christian Svenning
- Center for Biodiversity Dynamics in a Changing World (BIOCHANGE) and Section for Ecoinformatics and Biodiversity, Department of Biology, Aarhus University, DK-8000 Aarhus C, Denmark
| | - Keping Ma
- State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China
- Universityof Chinese Academy of Sciences, Beijing 100049, China
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47
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Hou J, Lu D, Mason AS, Li B, An S, Li G, Cai D. Distribution of MITE family Monkey King in rapeseed (Brassica napus L) and its influence on gene expression. Genomics 2021; 113:2934-2943. [PMID: 34182079 DOI: 10.1016/j.ygeno.2021.06.034] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2020] [Revised: 05/06/2021] [Accepted: 06/24/2021] [Indexed: 10/21/2022]
Abstract
Miniature inverted-repeat transposable elements (MITEs) are a group of class II transposable elements. The MITE Monkey King (MK) was first discovered upstream of BnFLC.A10. In this study, genome resequencing of four selected B. napus accessions, revealed more than 4000 distributed copies of MKs constituting ~2.4 Mb of the B. napus genomic sequence and caused 677 polymorphisms among the four accessions. MK -polymorphism-related markers across 128 natural and 58 synthetic accessions revealed more polymorphic MKs in natural than synthetic accessions. Ten MK -induced indels significantly affected the expression levels of the nearest gene based on RNAseq analysis, six of these effects were subsequently confirmed using qRT-PCR. Decreased expression pattern of MK -derived miRNA-bna-miR6031 was also observed under various stress treatments. Further research focused on the MITE families should promote not only our understanding of gene regulatory networks but also inform crop improvement efforts.
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Affiliation(s)
- Jinna Hou
- Henan Academy of Agricultural Sciences, Zhengzhou 450002, China.
| | - Dandan Lu
- Henan Academy of Agricultural Sciences, Zhengzhou 450002, China
| | - Annaliese S Mason
- Chair of Plant Breeding, Institute of Crop Science and Resource Conservation, University of Bonn, Bonn, Germany.
| | - Baoquan Li
- Henan Academy of Agricultural Sciences, Zhengzhou 450002, China
| | - Sufang An
- Henan Academy of Agricultural Sciences, Zhengzhou 450002, China
| | - Gaoyuan Li
- Bioinformatic Institute, Huazhong Agricultural University, Wuhan 430071, China.
| | - Dongfang Cai
- Henan Academy of Agricultural Sciences, Zhengzhou 450002, China.
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48
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Zhou Y, Bai S, Li H, Sun G, Zhang D, Ma F, Zhao X, Nie F, Li J, Chen L, Lv L, Zhu L, Fan R, Ge Y, Shaheen A, Guo G, Zhang Z, Ma J, Liang H, Qiu X, Hu J, Sun T, Hou J, Xu H, Xue S, Jiang W, Huang J, Li S, Zou C, Song CP. Introgressing the Aegilops tauschii genome into wheat as a basis for cereal improvement. NATURE PLANTS 2021; 7:774-786. [PMID: 34045708 DOI: 10.1038/s41477-021-00934-w] [Citation(s) in RCA: 52] [Impact Index Per Article: 17.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/02/2021] [Accepted: 04/30/2021] [Indexed: 05/04/2023]
Abstract
Increasing crop production is necessary to feed the world's expanding population, and crop breeders often utilize genetic variations to improve crop yield and quality. However, the narrow diversity of the wheat D genome seriously restricts its selective breeding. A practical solution is to exploit the genomic variations of Aegilops tauschii via introgression. Here, we established a rapid introgression platform for transferring the overall genetic variations of A. tauschii to elite wheats, thereby enriching the wheat germplasm pool. To accelerate the process, we assembled four new reference genomes, resequenced 278 accessions of A. tauschii and constructed the variation landscape of this wheat progenitor species. Genome comparisons highlighted diverse functional genes or novel haplotypes with potential applications in wheat improvement. We constructed the core germplasm of A. tauschii, including 85 accessions covering more than 99% of the species' overall genetic variations. This was crossed with elite wheat cultivars to generate an A. tauschii-wheat synthetic octoploid wheat (A-WSOW) pool. Laboratory and field analysis with two examples of the introgression lines confirmed its great potential for wheat breeding. Our high-quality reference genomes, genomic variation landscape of A. tauschii and the A-WSOW pool provide valuable resources to facilitate gene discovery and breeding in wheat.
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Affiliation(s)
- Yun Zhou
- State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Kaifeng, China
| | - Shenglong Bai
- State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Kaifeng, China
| | - Hao Li
- State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Kaifeng, China
| | - Guiling Sun
- State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Kaifeng, China
| | - Dale Zhang
- State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Kaifeng, China
| | - Feifei Ma
- State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Kaifeng, China
| | - Xinpeng Zhao
- State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Kaifeng, China
| | - Fang Nie
- State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Kaifeng, China
| | - Jingyao Li
- State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Kaifeng, China
| | - Liyang Chen
- Novogene Bioinformatics Institute, Beijing, China
| | - Linlin Lv
- State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Kaifeng, China
| | - Lele Zhu
- State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Kaifeng, China
| | - Ruixiao Fan
- State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Kaifeng, China
| | - Yifan Ge
- State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Kaifeng, China
| | - Aaqib Shaheen
- State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Kaifeng, China
| | - Guanghui Guo
- State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Kaifeng, China
| | - Zhen Zhang
- State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Kaifeng, China
| | - Jianchao Ma
- State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Kaifeng, China
| | - Huihui Liang
- State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Kaifeng, China
| | - Xiaolong Qiu
- State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Kaifeng, China
| | - Jiamin Hu
- State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Kaifeng, China
| | - Ting Sun
- State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Kaifeng, China
| | - Jingyi Hou
- State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Kaifeng, China
| | - Hongxing Xu
- State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Kaifeng, China
| | - Shulin Xue
- State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Kaifeng, China
| | - Wenkai Jiang
- Novogene Bioinformatics Institute, Beijing, China
| | - Jinling Huang
- State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Kaifeng, China
- Department of Biology, East Carolina University, Greenville, NC, USA
| | - Suoping Li
- State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Kaifeng, China
| | - Changsong Zou
- State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Kaifeng, China.
| | - Chun-Peng Song
- State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Kaifeng, China.
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49
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Wei M, Li X, Yang R, Li L, Wang Z, Wang X, Sha A. Novel Insights Into Genetic Responses for Waterlogging Stress in Two Local Wheat Cultivars in Yangtze River Basin. Front Genet 2021; 12:681680. [PMID: 34135945 PMCID: PMC8201782 DOI: 10.3389/fgene.2021.681680] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2021] [Accepted: 04/19/2021] [Indexed: 11/14/2022] Open
Abstract
Wheat (Triticum aestivum L.), the most widely cultivated crop, is affected by waterlogging that limited the wheat production. Given the incompleteness of its genome annotation, PacBio SMRT plus Illumina short-read sequencing strategy provided an efficient approach to investigate the genetic regulation of waterlogging stress in wheat. A total of 947,505 full-length non-chimetric (FLNC) sequences were obtained with two wheat cultivars (XM55 and YM158) with PacBio sequencing. Of these, 5,309 long-non-coding RNAs, 1,574 fusion genes and 739 transcription factors were identified with the FLNC sequences. These full-length transcripts were derived from 49,368 genes, including 47.28% of the genes annotated in IWGSC RefSeq v1.0 and 40.86% genes encoded two or more isoforms, while 27.31% genes in the genome annotation of IWGSC RefSeq v1.0 were multiple-exon genes encoding two or more isoforms. Meanwhile, the individuals with waterlogging treatments (WL) and control group (CK) were selected for Illumina sequencing. Totally, 6,829 differentially expressed genes (DEGs) were detected from four pairwise comparisons. Notably, 942 DEGs were overlapped in the two comparisons (i.e., XM55-WL vs. YM158-WL and YM158-WL vs. YM158-CK). Undoubtedly, the genes involved in photosynthesis were downregulated after waterlogging treatment in two cultivars. Notably, the genes related to steroid biosynthesis, steroid hormone biosynthesis, and downstream plant hormone signal transduction were significantly upregulated after the waterlogging treatment, and the YM158 variety revealed different genetic regulation patterns compared with XM55. The findings provided valuable insights into unveiling regulation mechanisms of waterlogging stress in wheat at anthesis and contributed to molecular selective breeding of new wheat cultivars in future.
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Affiliation(s)
- Mingmei Wei
- Agricultural College, Yangtze University, Jingzhou, China
| | - Xiu Li
- Agricultural College, Yangtze University, Jingzhou, China
| | - Rui Yang
- Agricultural College, Yangtze University, Jingzhou, China
| | - Liulong Li
- Agricultural College, Yangtze University, Jingzhou, China
| | - Zhuangzhi Wang
- Agricultural College, Yangtze University, Jingzhou, China
| | - Xiaoyan Wang
- Agricultural College, Yangtze University, Jingzhou, China
| | - Aihua Sha
- Agricultural College, Yangtze University, Jingzhou, China
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50
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Singh P, Mukhopadhyay K. Comprehensive molecular dissection of TIFY Transcription factors reveal their dynamic responses to biotic and abiotic stress in wheat (Triticum aestivum L.). Sci Rep 2021; 11:9739. [PMID: 33958607 PMCID: PMC8102568 DOI: 10.1038/s41598-021-87722-w] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2020] [Accepted: 03/31/2021] [Indexed: 02/03/2023] Open
Abstract
The plant specific TIFY (previously known as ZIM) transcription factor (TF) family plays crucial roles in cross talk between Jasmonic Acid and other phytohormones like gibberellins, salicylic acid, abscisic acid, auxin, and ethylene signaling pathways. Wheat yield is severely affected by rust diseases and many abiotic stresses, where different phytohormone signaling pathways are involved. TIFYs have been studied in many plants yet reports describing their molecular structure and function in wheat are lacking. In the present study, we have identified 23 novel TIFY genes in wheat genome using in silico approaches. The identified proteins were characterized based on their conserved domains and phylogenetically classified into nine subfamilies. Chromosomal localization of the identified TIFY genes showed arbitrary distribution. Forty cis-acting elements including phytohormone, stress and light receptive elements were detected in the upstream regions of TIFY genes. Seventeen wheat microRNAs targeted the identified wheat TIFY genes. Gene ontological studies revealed their major contribution in defense response and phytohormone signaling. Secondary structure of TIFY proteins displayed the characteristic alpha-alpha-beta fold. Synteny analyses indicated all wheat TIFY genes had orthologous sequences in sorghum, rice, maize, barley and Brachypodium indicating presence of similar TIFY domains in monocot plants. Six TIFY genes had been cloned from wheat genomic and cDNA. Sequence characterization revealed similar characteristics as the in silico identified novel TIFY genes. Tertiary structures predicted the active sites in these proteins to play critical roles in DNA binding. Expression profiling of TIFY genes showed their contribution during incompatible and compatible leaf rust infestation. TIFY genes were also highly expressed during the initial hours of phytohormone induced stress. This study furnishes fundamental information on characterization and putative functions of TIFY genes in wheat.
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Affiliation(s)
- Poonam Singh
- Department of Bio-Engineering, Birla Institute of Technology, Mesra, Ranchi, 835215, Jharkhand, India
| | - Kunal Mukhopadhyay
- Department of Bio-Engineering, Birla Institute of Technology, Mesra, Ranchi, 835215, Jharkhand, India.
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