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Torres-Rodríguez JV, Li D, Turkus J, Newton L, Davis J, Lopez-Corona L, Ali W, Sun G, Mural RV, Grzybowski MW, Zamft BM, Thompson AM, Schnable JC. Population-level gene expression can repeatedly link genes to functions in maize. THE PLANT JOURNAL : FOR CELL AND MOLECULAR BIOLOGY 2024. [PMID: 38812347 DOI: 10.1111/tpj.16801] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/19/2024] [Revised: 04/16/2024] [Accepted: 04/24/2024] [Indexed: 05/31/2024]
Abstract
Transcriptome-wide association studies (TWAS) can provide single gene resolution for candidate genes in plants, complementing genome-wide association studies (GWAS) but efforts in plants have been met with, at best, mixed success. We generated expression data from 693 maize genotypes, measured in a common field experiment, sampled over a 2-h period to minimize diurnal and environmental effects, using full-length RNA-seq to maximize the accurate estimation of transcript abundance. TWAS could identify roughly 10 times as many genes likely to play a role in flowering time regulation as GWAS conducted data from the same experiment. TWAS using mature leaf tissue identified known true-positive flowering time genes known to act in the shoot apical meristem, and trait data from a new environment enabled the identification of additional flowering time genes without the need for new expression data. eQTL analysis of TWAS-tagged genes identified at least one additional known maize flowering time gene through trans-eQTL interactions. Collectively these results suggest the gene expression resource described here can link genes to functions across different plant phenotypes expressed in a range of tissues and scored in different experiments.
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Affiliation(s)
- J Vladimir Torres-Rodríguez
- Quantitative Life Sciences Initiative, University of Nebraska-Lincoln, Lincoln, Nebraska, 68588, USA
- Center for Plant Science Innovation, University of Nebraska-Lincoln, Lincoln, Nebraska, 68588, USA
- Department of Agronomy and Horticulture, University of Nebraska-Lincoln, Lincoln, Nebraska, 68588, USA
| | - Delin Li
- The National Key Facility for Crop Gene Resources and Genetic Improvement, Key Laboratory of Crop Gene Resource and Germplasm Enhancement, Key Laboratory of Soybean Biology (Beijing), Institute of Crop Science, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Jonathan Turkus
- Quantitative Life Sciences Initiative, University of Nebraska-Lincoln, Lincoln, Nebraska, 68588, USA
- Center for Plant Science Innovation, University of Nebraska-Lincoln, Lincoln, Nebraska, 68588, USA
- Department of Agronomy and Horticulture, University of Nebraska-Lincoln, Lincoln, Nebraska, 68588, USA
| | - Linsey Newton
- Department of Plant Soil and Microbial Sciences, Michigan State University, East Lansing, Michigan, 48824, USA
| | - Jensina Davis
- Quantitative Life Sciences Initiative, University of Nebraska-Lincoln, Lincoln, Nebraska, 68588, USA
- Center for Plant Science Innovation, University of Nebraska-Lincoln, Lincoln, Nebraska, 68588, USA
- Department of Agronomy and Horticulture, University of Nebraska-Lincoln, Lincoln, Nebraska, 68588, USA
| | - Lina Lopez-Corona
- Quantitative Life Sciences Initiative, University of Nebraska-Lincoln, Lincoln, Nebraska, 68588, USA
- Center for Plant Science Innovation, University of Nebraska-Lincoln, Lincoln, Nebraska, 68588, USA
- Department of Agronomy and Horticulture, University of Nebraska-Lincoln, Lincoln, Nebraska, 68588, USA
| | - Waqar Ali
- Quantitative Life Sciences Initiative, University of Nebraska-Lincoln, Lincoln, Nebraska, 68588, USA
- Center for Plant Science Innovation, University of Nebraska-Lincoln, Lincoln, Nebraska, 68588, USA
- Department of Agronomy and Horticulture, University of Nebraska-Lincoln, Lincoln, Nebraska, 68588, USA
| | - Guangchao Sun
- Quantitative Life Sciences Initiative, University of Nebraska-Lincoln, Lincoln, Nebraska, 68588, USA
- Center for Plant Science Innovation, University of Nebraska-Lincoln, Lincoln, Nebraska, 68588, USA
- Department of Agronomy and Horticulture, University of Nebraska-Lincoln, Lincoln, Nebraska, 68588, USA
- Advanced Diagnostic Laboratory, Department of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota, USA
| | - Ravi V Mural
- Department of Agronomy, Horticulture and Plant Science, South Dakota State University, Brookings, South Dakota, 57007, USA
| | - Marcin W Grzybowski
- Quantitative Life Sciences Initiative, University of Nebraska-Lincoln, Lincoln, Nebraska, 68588, USA
- Center for Plant Science Innovation, University of Nebraska-Lincoln, Lincoln, Nebraska, 68588, USA
- Department of Agronomy and Horticulture, University of Nebraska-Lincoln, Lincoln, Nebraska, 68588, USA
- Department of Plant Molecular Ecophysiology, Institute of Plant Experimental Biology and Biotechnology, Faculty of Biology, University of Warsaw, Warsaw, Poland
| | - Bradley M Zamft
- X, The Moonshot Factory, Mountain View, California, 94043, USA
| | - Addie M Thompson
- Department of Plant Soil and Microbial Sciences, Michigan State University, East Lansing, Michigan, 48824, USA
- Plant Resilience Institute, Michigan State University, East Lansing, Michigan, 48824, USA
| | - James C Schnable
- Quantitative Life Sciences Initiative, University of Nebraska-Lincoln, Lincoln, Nebraska, 68588, USA
- Center for Plant Science Innovation, University of Nebraska-Lincoln, Lincoln, Nebraska, 68588, USA
- Department of Agronomy and Horticulture, University of Nebraska-Lincoln, Lincoln, Nebraska, 68588, USA
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2
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Chen S, Gao S, Wang D, Liu J, Ren Y, Wang Z, Wei X, Wang Q, Huang X. FKF1b controls reproductive transition associated with adaptation to geographical distribution in maize. JOURNAL OF INTEGRATIVE PLANT BIOLOGY 2024; 66:943-955. [PMID: 38501459 DOI: 10.1111/jipb.13639] [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: 12/12/2023] [Accepted: 02/23/2024] [Indexed: 03/20/2024]
Abstract
Maize (Zea mays subspecies mays) is an important commercial crop across the world, and its flowering time is closely related to grain yield, plant cycle and latitude adaptation. FKF1 is an essential clock-regulated blue-light receptor with distinct functions on flowering time in plants, and its function in maize remains unclear. In this study, we identified two FKF1 homologs in the maize genome, named ZmFKF1a and ZmFKF1b, and indicated that ZmFKF1a and ZmFKF1b independently regulate reproductive transition through interacting with ZmCONZ1 and ZmGI1 to increase the transcription levels of ZmCONZ1 and ZCN8. We demonstrated that ZmFKF1b underwent artificial selection during modern breeding in China probably due to its role in geographical adaptation. Furthermore, our data suggested that ZmFKF1bHap_C7 may be an elite allele, which increases the abundance of ZmCONZ1 mRNA more efficiently and adapt to a wider range of temperature zone than that of ZmFKF1bHap_Z58 to promote maize floral transition. It extends our understanding of the genetic diversity of maize flowering. This allele is expected to be introduced into tropical maize germplasm to enrich breeding resources and may improve the adaptability of maize at different climate zones, especially at temperate region.
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Affiliation(s)
- Suhui Chen
- Shanghai Key Laboratory of Plant Molecular Sciences, College of Life Sciences, Shanghai Normal University, Shanghai, 200234, China
| | - Shan Gao
- Shanghai Key Laboratory of Plant Molecular Sciences, College of Life Sciences, Shanghai Normal University, Shanghai, 200234, China
| | - Dongyang Wang
- Shanghai Key Laboratory of Plant Molecular Sciences, College of Life Sciences, Shanghai Normal University, Shanghai, 200234, China
| | - Jie Liu
- Shanghai Key Laboratory of Plant Molecular Sciences, College of Life Sciences, Shanghai Normal University, Shanghai, 200234, China
| | - Yingying Ren
- Shanghai Key Laboratory of Plant Molecular Sciences, College of Life Sciences, Shanghai Normal University, Shanghai, 200234, China
| | - Zhihan Wang
- Shanghai Key Laboratory of Plant Molecular Sciences, College of Life Sciences, Shanghai Normal University, Shanghai, 200234, China
| | - Xin Wei
- Shanghai Key Laboratory of Plant Molecular Sciences, College of Life Sciences, Shanghai Normal University, Shanghai, 200234, China
| | - Qin Wang
- Shanghai Key Laboratory of Plant Molecular Sciences, College of Life Sciences, Shanghai Normal University, Shanghai, 200234, China
| | - Xuehui Huang
- Shanghai Key Laboratory of Plant Molecular Sciences, College of Life Sciences, Shanghai Normal University, Shanghai, 200234, China
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3
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Lu Q, Zhao H, Zhang Z, Bai Y, Zhao H, Liu G, Liu M, Zheng Y, Zhao H, Gong H, Chen L, Deng X, Hong X, Liu T, Li B, Lu P, Wen F, Wang L, Li Z, Li H, Li H, Zhang L, Ma W, Liu C, Bai Y, Xin B, Chen J, E L, Lai J, Song W. Genomic variation in weedy and cultivated broomcorn millet accessions uncovers the genetic architecture of agronomic traits. Nat Genet 2024; 56:1006-1017. [PMID: 38658793 DOI: 10.1038/s41588-024-01718-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2023] [Accepted: 03/15/2024] [Indexed: 04/26/2024]
Abstract
Large-scale genomic variations are fundamental resources for crop genetics and breeding. Here we sequenced 1,904 genomes of broomcorn millet to an average of 40× sequencing depth and constructed a comprehensive variation map of weedy and cultivated accessions. Being one of the oldest cultivated crops, broomcorn millet has extremely low nucleotide diversity and remarkably rapid decay of linkage disequilibrium. Genome-wide association studies identified 186 loci for 12 agronomic traits. Many causative candidate genes, such as PmGW8 for grain size and PmLG1 for panicle shape, showed strong selection signatures during domestication. Weedy accessions contained many beneficial variations for the grain traits that are largely lost in cultivated accessions. Weedy and cultivated broomcorn millet have adopted different loci controlling flowering time for regional adaptation in parallel. Our study uncovers the unique population genomic features of broomcorn millet and provides an agronomically important resource for cereal crops.
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Affiliation(s)
- Qiong Lu
- State Key Laboratory of Maize Bio-breeding, National Maize Improvement Center, China Agricultural University, Beijing, People's Republic of China
| | - Hainan Zhao
- State Key Laboratory of Maize Bio-breeding, National Maize Improvement Center, China Agricultural University, Beijing, People's Republic of China
- Frontiers Science Center for Molecular Design Breeding (Ministry of Education), China Agricultural University, Beijing, People's Republic of China
| | - Zhengquan Zhang
- State Key Laboratory of Maize Bio-breeding, National Maize Improvement Center, China Agricultural University, Beijing, People's Republic of China
| | - Yuhe Bai
- State Key Laboratory of Maize Bio-breeding, National Maize Improvement Center, China Agricultural University, Beijing, People's Republic of China
| | - Haiming Zhao
- State Key Laboratory of Maize Bio-breeding, National Maize Improvement Center, China Agricultural University, Beijing, People's Republic of China
| | - Guoqing Liu
- Institute of Millet Crops, Hebei Academy of Agriculture and Forestry Sciences, Shijiazhuang, People's Republic of China
| | - Minxuan Liu
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, People's Republic of China
| | - Yunxiao Zheng
- State Key Laboratory of Maize Bio-breeding, National Maize Improvement Center, China Agricultural University, Beijing, People's Republic of China
| | - Haiyue Zhao
- State Key Laboratory of Maize Bio-breeding, National Maize Improvement Center, China Agricultural University, Beijing, People's Republic of China
| | - Huihui Gong
- State Key Laboratory of Maize Bio-breeding, National Maize Improvement Center, China Agricultural University, Beijing, People's Republic of China
| | - Lingwei Chen
- State Key Laboratory of Maize Bio-breeding, National Maize Improvement Center, China Agricultural University, Beijing, People's Republic of China
| | - Xizhen Deng
- State Key Laboratory of Maize Bio-breeding, National Maize Improvement Center, China Agricultural University, Beijing, People's Republic of China
| | - Xiangde Hong
- State Key Laboratory of Maize Bio-breeding, National Maize Improvement Center, China Agricultural University, Beijing, People's Republic of China
| | - Tianxiang Liu
- State Key Laboratory of Maize Bio-breeding, National Maize Improvement Center, China Agricultural University, Beijing, People's Republic of China
| | - Baichuan Li
- State Key Laboratory of Maize Bio-breeding, National Maize Improvement Center, China Agricultural University, Beijing, People's Republic of China
| | - Ping Lu
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, People's Republic of China
| | - Feng Wen
- Tongliao Agricultural and Animal Husbandry Research Institute, Tongliao, People's Republic of China
| | - Lun Wang
- Center for Agricultural Genetic Resources Research, Shanxi Agricultural University, Taiyuan, People's Republic of China
| | - Zhijiang Li
- Institute of Crop Resources Research, Heilongjiang Academy of Agricultural Sciences, Harbin, People's Republic of China
| | - Hai Li
- High Latitude Crops Institute, Shanxi Agricultural University, Datong, People's Republic of China
| | - Haiquan Li
- Institute of Millet Crops, Hebei Academy of Agriculture and Forestry Sciences, Shijiazhuang, People's Republic of China
| | - Like Zhang
- National Agricultural Technology Extension & Service Center, Beijing, People's Republic of China
| | - Wenhui Ma
- National Agricultural Technology Extension & Service Center, Beijing, People's Republic of China
| | - Chunqing Liu
- National Agricultural Technology Extension & Service Center, Beijing, People's Republic of China
| | - Yan Bai
- State Key Laboratory of Maize Bio-breeding, National Maize Improvement Center, China Agricultural University, Beijing, People's Republic of China
- National Agricultural Technology Extension & Service Center, Beijing, People's Republic of China
| | - Beibei Xin
- State Key Laboratory of Maize Bio-breeding, National Maize Improvement Center, China Agricultural University, Beijing, People's Republic of China
| | - Jian Chen
- State Key Laboratory of Maize Bio-breeding, National Maize Improvement Center, China Agricultural University, Beijing, People's Republic of China
| | - Lizhu E
- State Key Laboratory of Maize Bio-breeding, National Maize Improvement Center, China Agricultural University, Beijing, People's Republic of China
| | - Jinsheng Lai
- State Key Laboratory of Maize Bio-breeding, National Maize Improvement Center, China Agricultural University, Beijing, People's Republic of China
- Frontiers Science Center for Molecular Design Breeding (Ministry of Education), China Agricultural University, Beijing, People's Republic of China
- Center for Crop Functional Genomics and Molecular Breeding, China Agricultural University, Beijing, People's Republic of China
- Sanya Institute of China Agricultural University, Sanya, People's Republic of China
| | - Weibin Song
- State Key Laboratory of Maize Bio-breeding, National Maize Improvement Center, China Agricultural University, Beijing, People's Republic of China.
- Frontiers Science Center for Molecular Design Breeding (Ministry of Education), China Agricultural University, Beijing, People's Republic of China.
- Center for Crop Functional Genomics and Molecular Breeding, China Agricultural University, Beijing, People's Republic of China.
- Sanya Institute of China Agricultural University, Sanya, People's Republic of China.
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4
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Wang Y, Jiang C, Zhang X, Yan H, Yin Z, Sun X, Gao F, Zhao Y, Liu W, Han S, Zhang J, Zhang Y, Zhang Z, Zhang H, Li J, Xie X, Zhao Q, Wang X, Ye G, Li J, Ming R, Li Z. Upland rice genomic signatures of adaptation to drought resistance and navigation to molecular design breeding. PLANT BIOTECHNOLOGY JOURNAL 2024; 22:662-677. [PMID: 37909415 PMCID: PMC10893945 DOI: 10.1111/pbi.14215] [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: 06/06/2023] [Revised: 07/31/2023] [Accepted: 10/16/2023] [Indexed: 11/03/2023]
Abstract
Upland rice is a distinctive drought-aerobic ecotype of cultivated rice highly resistant to drought stress. However, the genetic and genomic basis for the drought-aerobic adaptation of upland rice remains largely unclear due to the lack of genomic resources. In this study, we identified 25 typical upland rice accessions and assembled a high-quality genome of one of the typical upland rice varieties, IRAT109, comprising 384 Mb with a contig N50 of 19.6 Mb. Phylogenetic analysis revealed upland and lowland rice have distinct ecotype differentiation within the japonica subgroup. Comparative genomic analyses revealed that adaptive differentiation of lowland and upland rice is likely attributable to the natural variation of many genes in promoter regions, formation of specific genes in upland rice, and expansion of gene families. We revealed differentiated gene expression patterns in the leaves and roots of the two ecotypes and found that lignin synthesis mediated by the phenylpropane pathway plays an important role in the adaptive differentiation of upland and lowland rice. We identified 28 selective sweeps that occurred during domestication and validated that the qRT9 gene in selective regions can positively regulate drought resistance in rice. Eighty key genes closely associated with drought resistance were appraised for their appreciable potential in drought resistance breeding. Our study enhances the understanding of the adaptation of upland rice and provides a genome navigation map of drought resistance breeding, which will facilitate the breeding of drought-resistant rice and the "blue revolution" in agriculture.
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Affiliation(s)
- Yulong Wang
- Beijing Key Laboratory of Crop Genetic Improvement, College of Agronomy and BiotechnologyChina Agricultural UniversityBeijingChina
| | - Conghui Jiang
- Beijing Key Laboratory of Crop Genetic Improvement, College of Agronomy and BiotechnologyChina Agricultural UniversityBeijingChina
- Institute of Wetland Agriculture and EcologyShandong Academy of Agricultural SciencesJinanShandongChina
| | - Xingtan Zhang
- Center for Genomics and Biotechnology, Fujian Provincial Key Laboratory of Haixia Applied Plant Systems Biology, Key Laboratory of Genetics, Breeding and Multiple Utilization of Crops, Ministry of EducationFujian Agriculture and Forestry UniversityFuzhouFujianChina
- Agricultural Genomics Institute in ShenzhenChinese Academy of Agricultural SciencesShenzhenGuangdongChina
| | - Huimin Yan
- Collaborative Innovation Center of Henan Grain Crops, Henan Key Laboratory of Rice BiologyHenan Agricultural UniversityZhengzhouHenanChina
| | - Zhigang Yin
- Beijing Key Laboratory of Crop Genetic Improvement, College of Agronomy and BiotechnologyChina Agricultural UniversityBeijingChina
| | - Xingming Sun
- Beijing Key Laboratory of Crop Genetic Improvement, College of Agronomy and BiotechnologyChina Agricultural UniversityBeijingChina
| | - Fenghua Gao
- Beijing Key Laboratory of Crop Genetic Improvement, College of Agronomy and BiotechnologyChina Agricultural UniversityBeijingChina
| | - Yan Zhao
- Beijing Key Laboratory of Crop Genetic Improvement, College of Agronomy and BiotechnologyChina Agricultural UniversityBeijingChina
| | - Wei Liu
- Beijing Key Laboratory of Crop Genetic Improvement, College of Agronomy and BiotechnologyChina Agricultural UniversityBeijingChina
| | - Shichen Han
- Beijing Key Laboratory of Crop Genetic Improvement, College of Agronomy and BiotechnologyChina Agricultural UniversityBeijingChina
| | - Jingjing Zhang
- Beijing Key Laboratory of Crop Genetic Improvement, College of Agronomy and BiotechnologyChina Agricultural UniversityBeijingChina
| | - Yage Zhang
- Sanya Institute of Hainan Academy of Agricultural SciencesSanyaHainanChina
| | - Zhanying Zhang
- Beijing Key Laboratory of Crop Genetic Improvement, College of Agronomy and BiotechnologyChina Agricultural UniversityBeijingChina
| | - Hongliang Zhang
- Beijing Key Laboratory of Crop Genetic Improvement, College of Agronomy and BiotechnologyChina Agricultural UniversityBeijingChina
| | - Jinjie Li
- Beijing Key Laboratory of Crop Genetic Improvement, College of Agronomy and BiotechnologyChina Agricultural UniversityBeijingChina
| | - Xianzhi Xie
- Institute of Wetland Agriculture and EcologyShandong Academy of Agricultural SciencesJinanShandongChina
| | - Quanzhi Zhao
- Collaborative Innovation Center of Henan Grain Crops, Henan Key Laboratory of Rice BiologyHenan Agricultural UniversityZhengzhouHenanChina
| | - Xiaoning Wang
- Sanya Institute of Hainan Academy of Agricultural SciencesSanyaHainanChina
| | - Guoyou Ye
- Agricultural Genomics Institute in ShenzhenChinese Academy of Agricultural SciencesShenzhenGuangdongChina
- Institution International Rice Research InstituteLos BañosLagunaPhilippines
| | - Junzhou Li
- Collaborative Innovation Center of Henan Grain Crops, Henan Key Laboratory of Rice BiologyHenan Agricultural UniversityZhengzhouHenanChina
| | - Ray Ming
- Center for Genomics and Biotechnology, Fujian Provincial Key Laboratory of Haixia Applied Plant Systems Biology, Key Laboratory of Genetics, Breeding and Multiple Utilization of Crops, Ministry of EducationFujian Agriculture and Forestry UniversityFuzhouFujianChina
| | - Zichao Li
- Beijing Key Laboratory of Crop Genetic Improvement, College of Agronomy and BiotechnologyChina Agricultural UniversityBeijingChina
- Sanya Institute of Hainan Academy of Agricultural SciencesSanyaHainanChina
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5
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He Y, Zhang K, Shi Y, Lin H, Huang X, Lu X, Wang Z, Li W, Feng X, Shi T, Chen Q, Wang J, Tang Y, Chapman MA, Germ M, Luthar Z, Kreft I, Janovská D, Meglič V, Woo SH, Quinet M, Fernie AR, Liu X, Zhou M. Genomic insight into the origin, domestication, dispersal, diversification and human selection of Tartary buckwheat. Genome Biol 2024; 25:61. [PMID: 38414075 PMCID: PMC10898187 DOI: 10.1186/s13059-024-03203-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2023] [Accepted: 02/21/2024] [Indexed: 02/29/2024] Open
Abstract
BACKGROUND Tartary buckwheat, Fagopyrum tataricum, is a pseudocereal crop with worldwide distribution and high nutritional value. However, the origin and domestication history of this crop remain to be elucidated. RESULTS Here, by analyzing the population genomics of 567 accessions collected worldwide and reviewing historical documents, we find that Tartary buckwheat originated in the Himalayan region and then spread southwest possibly along with the migration of the Yi people, a minority in Southwestern China that has a long history of planting Tartary buckwheat. Along with the expansion of the Mongol Empire, Tartary buckwheat dispersed to Europe and ultimately to the rest of the world. The different natural growth environments resulted in adaptation, especially significant differences in salt tolerance between northern and southern Chinese Tartary buckwheat populations. By scanning for selective sweeps and using a genome-wide association study, we identify genes responsible for Tartary buckwheat domestication and differentiation, which we then experimentally validate. Comparative genomics and QTL analysis further shed light on the genetic foundation of the easily dehulled trait in a particular variety that was artificially selected by the Wa people, a minority group in Southwestern China known for cultivating Tartary buckwheat specifically for steaming as a staple food to prevent lysine deficiency. CONCLUSIONS This study provides both comprehensive insights into the origin and domestication of, and a foundation for molecular breeding for, Tartary buckwheat.
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Affiliation(s)
- Yuqi He
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Kaixuan Zhang
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Yaliang Shi
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Hao Lin
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Xu Huang
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Xiang Lu
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Zhirong Wang
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Wei Li
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Xibo Feng
- Tibet Key Experiments of Crop Cultivation and Farming/College of Plant Science, Tibet Agriculture and Animal Husbandry University, Linzhi, 860000, China
| | - Taoxiong Shi
- Research Center of Buckwheat Industry Technology, Guizhou Normal University, Guiyang, 550001, China
| | - Qingfu Chen
- Research Center of Buckwheat Industry Technology, Guizhou Normal University, Guiyang, 550001, China
| | - Junzhen Wang
- Xichang Institute of Agricultural Science, Liangshan Yi People Autonomous Prefecture, Liangshan, Sichuan, 615000, China
| | - Yu Tang
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Mark A Chapman
- Biological Sciences, University of Southampton, Life Sciences Building 85, Highfield Campus, Southampton, SO17 1BJ, UK
| | - Mateja Germ
- Biotechnical Faculty, University of Ljubljana, Jamnikarjeva 101, SI-1000, Ljubljana, Slovenia
| | - Zlata Luthar
- Biotechnical Faculty, University of Ljubljana, Jamnikarjeva 101, SI-1000, Ljubljana, Slovenia
| | - Ivan Kreft
- Nutrition Institute, Koprska Ulica 98, SI-1000, Ljubljana, Slovenia
| | - Dagmar Janovská
- Gene Bank, Crop Research Institute, Drnovská 507, Prague 6, Czech Republic
| | - Vladimir Meglič
- Agricultural Institute of Slovenia, Hacquetova ulica 17, SI-1000, Ljubljana, Slovenia
| | - Sun-Hee Woo
- Department of Crop Science, Chungbuk National University, Cheong-ju, Republic of Korea
| | - Muriel Quinet
- Groupe de Recherche en Physiologie Végétale (GRPV), Earth and Life Institute-Agronomy (ELI-A), Université catholique de Louvain, Croix du Sud 45, boîte L7.07.13, B-1348, Louvain-la-Neuve, Belgium
| | - Alisdair R Fernie
- Department of Molecular Physiology, Max-Planck-Institute of Molecular Plant Physiology, 14476, Potsdam, Germany
| | - Xu Liu
- State Key Laboratory of Crop Gene Resources and Breeding, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
| | - Meiliang Zhou
- 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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6
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Acosta-Bayona J, León-Martínez G, Vielle-Calzada JP. Origin and diversification of maize: Two teosintes but different contributions. MOLECULAR PLANT 2024; 17:233-235. [PMID: 38168636 DOI: 10.1016/j.molp.2023.12.024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/22/2023] [Revised: 12/27/2023] [Accepted: 12/28/2023] [Indexed: 01/05/2024]
Affiliation(s)
- Jonathan Acosta-Bayona
- Grupo de Desarrollo Reproductivo y Apomixis, UGA Laboratorio Nacional de Genómica para la Biodiversidad, Cinvestav Irapuato, Irapuato Gto CP36825, México
| | - Gloria León-Martínez
- Grupo de Desarrollo Reproductivo y Apomixis, UGA Laboratorio Nacional de Genómica para la Biodiversidad, Cinvestav Irapuato, Irapuato Gto CP36825, México
| | - Jean-Philippe Vielle-Calzada
- Grupo de Desarrollo Reproductivo y Apomixis, UGA Laboratorio Nacional de Genómica para la Biodiversidad, Cinvestav Irapuato, Irapuato Gto CP36825, México.
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7
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Yang N, Wang Y, Liu X, Jin M, Vallebueno-Estrada M, Calfee E, Chen L, Dilkes BP, Gui S, Fan X, Harper TK, Kennett DJ, Li W, Lu Y, Ding J, Chen Z, Luo J, Mambakkam S, Menon M, Snodgrass S, Veller C, Wu S, Wu S, Zhuo L, Xiao Y, Yang X, Stitzer MC, Runcie D, Yan J, Ross-Ibarra J. Two teosintes made modern maize. Science 2023; 382:eadg8940. [PMID: 38033071 DOI: 10.1126/science.adg8940] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2023] [Accepted: 10/02/2023] [Indexed: 12/02/2023]
Abstract
The origins of maize were the topic of vigorous debate for nearly a century, but neither the current genetic model nor earlier archaeological models account for the totality of available data, and recent work has highlighted the potential contribution of a wild relative, Zea mays ssp. mexicana. Our population genetic analysis reveals that the origin of modern maize can be traced to an admixture between ancient maize and Zea mays ssp. mexicana in the highlands of Mexico some 4000 years after domestication began. We show that variation in admixture is a key component of maize diversity, both at individual loci and for additive genetic variation underlying agronomic traits. Our results clarify the origin of modern maize and raise new questions about the anthropogenic mechanisms underlying dispersal throughout the Americas.
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Affiliation(s)
- Ning Yang
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China
- Hubei Hongshan Laboratory, Wuhan 430070, China
- Department of Evolution and Ecology, University of California, Davis, CA 95616, USA
| | - Yuebin Wang
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China
| | - Xiangguo Liu
- Institute of Agricultural Biotechnology, Jilin Academy of Agricultural Sciences, Changchun 130033, China
| | - Minliang Jin
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China
| | - Miguel Vallebueno-Estrada
- Unidad de Genómica Avanzada, Laboratorio Nacional de Genómica para la Biodiversidad, CINVESTAV Irapuato, 36821 Guanajuato, México
| | - Erin Calfee
- Department of Evolution and Ecology, University of California, Davis, CA 95616, USA
- Center for Population Biology, University of California, Davis, CA 95616, USA
- Adaptive Biotechnologies, Seattle, WA 98109, USA
| | - Lu Chen
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China
| | - Brian P Dilkes
- Department of Biochemistry, Purdue University, West Lafayette, IN 47907, USA
| | - Songtao Gui
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China
| | - Xingming Fan
- Institute of Food Crops, Yunnan Academy of Agricultural Sciences, Kunming 650200, China
| | - Thomas K Harper
- Department of Anthropology, Pennsylvania State University, University Park, PA 16802, USA
| | - Douglas J Kennett
- Department of Anthropology, University of California, Santa Barbara, CA 93106, USA
| | - Wenqiang Li
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China
| | - Yanli Lu
- Maize Research Institute, Sichuan Agricultural University, Wenjiang, Sichuan 611130, China
| | - Junqiang Ding
- College of Agronomy, Henan Agricultural University, Zhengzhou, Henan 450046, China
| | - Ziqi Chen
- Institute of Agricultural Biotechnology, Jilin Academy of Agricultural Sciences, Changchun 130033, China
| | - Jingyun Luo
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China
| | - Sowmya Mambakkam
- Department of Evolution and Ecology, University of California, Davis, CA 95616, USA
| | - Mitra Menon
- Department of Evolution and Ecology, University of California, Davis, CA 95616, USA
- Center for Population Biology, University of California, Davis, CA 95616, USA
| | - Samantha Snodgrass
- Department of Ecology, Evolution, and Organismal Biology, Iowa State University, Ames, IA 50011, USA
| | - Carl Veller
- Department of Ecology and Evolution, University of Chicago, Chicago, IL 60637, USA
| | - Shenshen Wu
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China
| | - Siying Wu
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China
| | - Lin Zhuo
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China
| | - Yingjie Xiao
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China
- Hubei Hongshan Laboratory, Wuhan 430070, China
| | - Xiaohong Yang
- National Maize Improvement Center of China, Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing 100193, China
| | - Michelle C Stitzer
- Institute for Genomic Diversity and Department of Molecular Biology and Genetics, Cornell University, Ithaca, NY 14853, USA
| | - Daniel Runcie
- Department of Plant Sciences, University of California, Davis, CA 95616, USA
| | - Jianbing Yan
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China
- Hubei Hongshan Laboratory, Wuhan 430070, China
- Yazhouwan National Laboratory, Sanya 572024, China
| | - Jeffrey Ross-Ibarra
- Department of Evolution and Ecology, University of California, Davis, CA 95616, USA
- Center for Population Biology, University of California, Davis, CA 95616, USA
- Genome Center, University of California, Davis, CA 95616, USA
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8
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Berube B, Ernst E, Cahn J, Roche B, de Santis Alves C, Lynn J, Scheben A, Siepel A, Ross-Ibarra J, Kermicle J, Martienssen R. Teosinte Pollen Drive guides maize diversification and domestication by RNAi. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.07.12.548689. [PMID: 37503269 PMCID: PMC10370002 DOI: 10.1101/2023.07.12.548689] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/29/2023]
Abstract
Meiotic drivers subvert Mendelian expectations by manipulating reproductive development to bias their own transmission. Chromosomal drive typically functions in asymmetric female meiosis, while gene drive is normally postmeiotic and typically found in males. Using single molecule and single-pollen genome sequencing, we describe Teosinte Pollen Drive, an instance of gene drive in hybrids between maize (Zea mays ssp. mays) and teosinte mexicana (Zea mays ssp. mexicana), that depends on RNA interference (RNAi). 22nt small RNAs from a non-coding RNA hairpin in mexicana depend on Dicer-Like 2 (Dcl2) and target Teosinte Drive Responder 1 (Tdr1), which encodes a lipase required for pollen viability. Dcl2, Tdr1, and the hairpin are in tight pseudolinkage on chromosome 5, but only when transmitted through the male. Introgression of mexicana into early cultivated maize is thought to have been critical to its geographical dispersal throughout the Americas, and a tightly linked inversion in mexicana spans a major domestication sweep in modern maize. A survey of maize landraces and sympatric populations of teosinte mexicana reveals correlated patterns of admixture among unlinked genes required for RNAi on at least 4 chromosomes that are also subject to gene drive in pollen from synthetic hybrids. Teosinte Pollen Drive likely played a major role in maize domestication and diversification, and offers an explanation for the widespread abundance of "self" small RNAs in the germlines of plants and animals.
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Affiliation(s)
- Benjamin Berube
- Howard Hughes Medical Institute, Cold Spring Harbor Laboratory, Cold Spring Harbor NY11724
| | - Evan Ernst
- Howard Hughes Medical Institute, Cold Spring Harbor Laboratory, Cold Spring Harbor NY11724
| | - Jonathan Cahn
- Howard Hughes Medical Institute, Cold Spring Harbor Laboratory, Cold Spring Harbor NY11724
| | - Benjamin Roche
- Howard Hughes Medical Institute, Cold Spring Harbor Laboratory, Cold Spring Harbor NY11724
| | | | - Jason Lynn
- Howard Hughes Medical Institute, Cold Spring Harbor Laboratory, Cold Spring Harbor NY11724
| | - Armin Scheben
- Simons Center for Quantitative Biology, Cold Spring Harbor Laboratory, Cold Spring Harbor NY11724
| | - Adam Siepel
- Simons Center for Quantitative Biology, Cold Spring Harbor Laboratory, Cold Spring Harbor NY11724
| | - Jeffrey Ross-Ibarra
- Dept. of Evolution & Ecology, Center for Population Biology and Genome Center, University of California, Davis CA
| | - Jerry Kermicle
- Laboratory of Genetics, University of Wisconsin, Madison WI
| | - Rob Martienssen
- Howard Hughes Medical Institute, Cold Spring Harbor Laboratory, Cold Spring Harbor NY11724
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9
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Bapat AR, Moran Lauter AN, Hufford MB, Boerman NA, Scott MP. The Ga1 locus of the genus Zea is associated with novel genome structures derived from multiple, independent nonhomologous recombination events. G3 (BETHESDA, MD.) 2023; 13:jkad196. [PMID: 37652030 PMCID: PMC10627281 DOI: 10.1093/g3journal/jkad196] [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: 05/17/2023] [Revised: 08/11/2023] [Accepted: 08/16/2023] [Indexed: 09/02/2023]
Abstract
The Ga1 locus controls cross-incompatibility between field corn and popcorn. The Ga1-S haplotype contains 2 types of pectin methylesterase (PME) genes, ZmPme3 and several copies of ZmGa1P that are expressed in silk and pollen, respectively. The ga1 haplotype contains nonfunctional tandem repeat sequences related to ZmPme3 and ZmGa1P. This haplotype can cross-pollinate freely and is widely present in field corn. The primary objective of this study is to characterize the repeat sequences from a diverse collection of maize and teosinte lines and use this information to understand the evolution of the Ga1 locus. First, we characterized the complexity of the Ga1 genome region in high-quality maize genome assemblies that led to their categorization into 5 groups based on the number and type of PME-like sequences found at this region. Second, we studied duplication events that led to the ga1 and Ga1-S repeats using maximum likelihood phylogenetic reconstruction. Divergence estimates of the ga1 haplotype suggest that the duplication events occurred more than 600 KYA whereas those in Ga1-S occurred at 3 time points, i.e. >600, ∼260, and ∼100 KYA. These estimates suggest that the ga1 and Ga1-S tandem duplication events occurred independently. Finally, analysis of ZmPme3 and ZmGa1P homologs in Zea and Tripsacum genomes suggests that ga1 and Ga1-S repeats originated from an ancestral pair of PME genes that duplicated and diverged through 2 evolutionary branches prior to the domestication of maize.
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Affiliation(s)
- Amruta R Bapat
- Interdepartmental Genetics and Genomics Program, Iowa State University, Ames, IA 50011, USA
- Department of Agronomy, Iowa State University, Ames, IA 50011, USA
| | | | - Matthew B Hufford
- Department of Ecology, Evolution and Organismal Biology, Iowa State University, Ames, IA 50011, USA
| | | | - M Paul Scott
- Corn Insects and Crop Genetics Research Unit, USDA-ARS, Ames, IA 50011, USA
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10
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Fu J, Pei W, He L, Ma B, Tang C, Zhu L, Wang L, Zhong Y, Chen G, Wang Q, Wang Q. ZmEREB92 plays a negative role in seed germination by regulating ethylene signaling and starch mobilization in maize. PLoS Genet 2023; 19:e1011052. [PMID: 37976306 PMCID: PMC10691696 DOI: 10.1371/journal.pgen.1011052] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2023] [Revised: 12/01/2023] [Accepted: 11/04/2023] [Indexed: 11/19/2023] Open
Abstract
Rapid and uniform seed germination is required for modern cropping system. Thus, it is important to optimize germination performance through breeding strategies in maize, in which identification for key regulators is needed. Here, we characterized an AP2/ERF transcription factor, ZmEREB92, as a negative regulator of seed germination in maize. Enhanced germination in ereb92 mutants is contributed by elevated ethylene signaling and starch degradation. Consistently, an ethylene signaling gene ZmEIL7 and an α-amylase gene ZmAMYa2 are identified as direct targets repressed by ZmEREB92. OsERF74, the rice ortholog of ZmEREB92, shows conserved function in negatively regulating seed germination in rice. Importantly, this orthologous gene pair is likely experienced convergently selection during maize and rice domestication. Besides, mutation of ZmEREB92 and OsERF74 both lead to enhanced germination under cold condition, suggesting their regulation on seed germination might be coupled with temperature sensitivity. Collectively, our findings uncovered the ZmEREB92-mediated regulatory mechanism of seed germination in maize and provide breeding targets for maize and rice to optimize seed germination performance towards changing climates.
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Affiliation(s)
- Jingye Fu
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, College of Agronomy, Sichuan Agricultural University, Chengdu, China
| | - Wenzheng Pei
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, College of Agronomy, Sichuan Agricultural University, Chengdu, China
| | - Linqian He
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, College of Agronomy, Sichuan Agricultural University, Chengdu, China
| | - Ben Ma
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, College of Agronomy, Sichuan Agricultural University, Chengdu, China
| | - Chen Tang
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, College of Agronomy, Sichuan Agricultural University, Chengdu, China
| | - Li Zhu
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, College of Agronomy, Sichuan Agricultural University, Chengdu, China
| | - Liping Wang
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, College of Agronomy, Sichuan Agricultural University, Chengdu, China
| | - Yuanyuan Zhong
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, College of Agronomy, Sichuan Agricultural University, Chengdu, China
| | - Gang Chen
- Graduate School of Horticulture, Chiba University, Matsudo, Chiba, Japan
| | - Qi Wang
- Key Laboratory of Aquatic Genomics, Ministry of Agriculture and Rural Affairs, Beijing Key Laboratory of Fishery Biotechnology, Chinese Academy of Fishery Sciences, Beijing, China
| | - Qiang Wang
- State Key Laboratory of Crop Gene Exploration and Utilization in Southwest China, College of Agronomy, Sichuan Agricultural University, Chengdu, China
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11
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Yang Z, Cao Y, Shi Y, Qin F, Jiang C, Yang S. Genetic and molecular exploration of maize environmental stress resilience: Toward sustainable agriculture. MOLECULAR PLANT 2023; 16:1496-1517. [PMID: 37464740 DOI: 10.1016/j.molp.2023.07.005] [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: 05/08/2023] [Revised: 07/03/2023] [Accepted: 07/15/2023] [Indexed: 07/20/2023]
Abstract
Global climate change exacerbates the effects of environmental stressors, such as drought, flooding, extreme temperatures, salinity, and alkalinity, on crop growth and grain yield, threatening the sustainability of the food supply. Maize (Zea mays) is one of the most widely cultivated crops and the most abundant grain crop in production worldwide. However, the stability of maize yield is highly dependent on environmental conditions. Recently, great progress has been made in understanding the molecular mechanisms underlying maize responses to environmental stresses and in developing stress-resilient varieties due to advances in high-throughput sequencing technologies, multi-omics analysis platforms, and automated phenotyping facilities. In this review, we summarize recent advances in dissecting the genetic factors and networks that contribute to maize abiotic stress tolerance through diverse strategies. We also discuss future challenges and opportunities for the development of climate-resilient maize varieties.
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Affiliation(s)
- Zhirui Yang
- State Key Laboratory of Plant Environmental Resilience, Frontiers Science Center for Molecular Design Breeding, College of Biological Sciences, China Agricultural University, Beijing 100193, China
| | - Yibo Cao
- State Key Laboratory of Plant Environmental Resilience, Frontiers Science Center for Molecular Design Breeding, College of Biological Sciences, China Agricultural University, Beijing 100193, China
| | - Yiting Shi
- State Key Laboratory of Plant Environmental Resilience, Frontiers Science Center for Molecular Design Breeding, College of Biological Sciences, China Agricultural University, Beijing 100193, China
| | - Feng Qin
- State Key Laboratory of Plant Environmental Resilience, Frontiers Science Center for Molecular Design Breeding, College of Biological Sciences, China Agricultural University, Beijing 100193, China.
| | - Caifu Jiang
- State Key Laboratory of Plant Environmental Resilience, Frontiers Science Center for Molecular Design Breeding, College of Biological Sciences, China Agricultural University, Beijing 100193, China.
| | - Shuhua Yang
- State Key Laboratory of Plant Environmental Resilience, Frontiers Science Center for Molecular Design Breeding, College of Biological Sciences, China Agricultural University, Beijing 100193, China.
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12
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Zhao H, Huang X, Yang Z, Li F, Ge X. Synergistic optimization of crops by combining early maturation with other agronomic traits. TRENDS IN PLANT SCIENCE 2023; 28:1178-1191. [PMID: 37208203 DOI: 10.1016/j.tplants.2023.04.011] [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: 11/21/2022] [Revised: 04/16/2023] [Accepted: 04/24/2023] [Indexed: 05/21/2023]
Abstract
Many newly created early maturing varieties exhibit poor stress resistance and low yield, whereas stress-resistant varieties are typically late maturing. For this reason, the polymerization of early maturity and other desired agronomic qualities requires overcoming the negative connection between early maturity, multi-resistance, and yield, which presents a formidable challenge in current breeding techniques. We review the most salient constraints of early maturity breeding in current crop planting practices and the molecular mechanisms of different maturation timeframes in diverse crops from their origin center to production areas. We explore current breeding tactics and the future direction of crop breeding and the issues that must be resolved to accomplish the polymerization of desirable traits in light of the current obstacles and limitations.
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Affiliation(s)
- Hang Zhao
- Zhengzhou Research Base, National Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Zhengzhou University, Zhengzhou 450001, China; National Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang 455000, China; College of Life Sciences, Qufu Normal University, Qufu, 273165, China
| | - Xianzhong Huang
- Center for Crop Biotechnology, College of Agriculture, Anhui Science and Technology University, Chuzhou, China
| | - Zhaoen Yang
- Zhengzhou Research Base, National Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Zhengzhou University, Zhengzhou 450001, China; National Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang 455000, China
| | - Fuguang Li
- Zhengzhou Research Base, National Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Zhengzhou University, Zhengzhou 450001, China; National Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang 455000, China; Western Agricultural Research Center, Chinese Academy of Agricultural Sciences, Changji, 831100 Xinjiang, China; Hainan Yazhou Bay Seed Lab, Sanya 572000, Hainan, China.
| | - Xiaoyang Ge
- Zhengzhou Research Base, National Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Zhengzhou University, Zhengzhou 450001, China; National Key Laboratory of Cotton Bio-breeding and Integrated Utilization, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang 455000, China; Western Agricultural Research Center, Chinese Academy of Agricultural Sciences, Changji, 831100 Xinjiang, China; Hainan Yazhou Bay Seed Lab, Sanya 572000, Hainan, China.
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13
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Guo Y, Lu F. The changing colour of carrot. NATURE PLANTS 2023; 9:1583-1584. [PMID: 37770614 DOI: 10.1038/s41477-023-01523-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/30/2023]
Affiliation(s)
- Yafei Guo
- 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, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Fei Lu
- 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, 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.
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14
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Duan H, Xue Z, Ju X, Yang L, Gao J, Sun L, Xu S, Li J, Xiong X, Sun Y, Wang Y, Zhang X, Ding D, Zhang X, Tang J. The genetic architecture of prolificacy in maize revealed by association mapping and bulk segregant analysis. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2023; 136:182. [PMID: 37555969 DOI: 10.1007/s00122-023-04434-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/15/2023] [Accepted: 06/26/2023] [Indexed: 08/10/2023]
Abstract
KEY MESSAGE Here, we revealed maize prolificacy highly correlated with domestication and identified a causal gene ZmEN1 located in one novel QTL qGEN261 that regulating maize prolificacy by using multiple-mapping methods. The development of maize prolificacy (EN) is crucial for enhancing yield and breeding specialty varieties. To achieve this goal, we employed a genome-wide association study (GWAS) to analyze the genetic architecture of EN in maize. Using 492 inbred lines with a wide range of EN variability, our results demonstrated significant differences in genetic, environmental, and interaction effects. The broad-sense heritability (H2) of EN was 0.60. Through GWAS, we identified 527 significant single nucleotide polymorphisms (SNPs), involved 290 quantitative trait loci (QTL) and 806 genes. Of these SNPs, 18 and 509 were classified as major effect loci and minor loci, respectively. In addition, we performed a bulk segregant analysis (BSA) in an F2 population constructed by a few-ears line Zheng58 and a multi-ears line 647. Our BSA results identified one significant QTL, qBEN1. Importantly, combining the GWAS and BSA, four co-located QTL, involving six genes, were identified. Three of them were expressed in vegetative meristem, shoot tip, internode and tip of ear primordium, with ZmEN1, encodes an unknown auxin-like protein, having the highest expression level in these tissues. It suggested that ZmEN1 plays a crucial role in promoting axillary bud and tillering to encourage the formation of prolificacy. Haplotype analysis of ZmEN1 revealed significant differences between different haplotypes, with inbred lines carrying hap6 having more EN. Overall, this is the first report about using GWAS and BSA to dissect the genetic architecture of EN in maize, which can be valuable for breeding specialty maize varieties and improving maize yield.
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Affiliation(s)
- Haiyang Duan
- National Key Laboratory of Wheat and Maize Crop Science, Department of Agronomy, College of Agronomy, Henan Agricultural University, No. 218 Ping'an Avenue, Zhengdong New District, Zhengzhou, 450046, People's Republic of China
| | - Zhengjie Xue
- National Key Laboratory of Wheat and Maize Crop Science, Department of Agronomy, College of Agronomy, Henan Agricultural University, No. 218 Ping'an Avenue, Zhengdong New District, Zhengzhou, 450046, People's Republic of China
| | - Xiaolong Ju
- National Key Laboratory of Wheat and Maize Crop Science, Department of Agronomy, College of Agronomy, Henan Agricultural University, No. 218 Ping'an Avenue, Zhengdong New District, Zhengzhou, 450046, People's Republic of China
| | - Lu Yang
- State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Kaifeng, People's Republic of China
| | - Jionghao Gao
- National Key Laboratory of Wheat and Maize Crop Science, Department of Agronomy, College of Agronomy, Henan Agricultural University, No. 218 Ping'an Avenue, Zhengdong New District, Zhengzhou, 450046, People's Republic of China
| | - Li Sun
- National Key Laboratory of Wheat and Maize Crop Science, Department of Agronomy, College of Agronomy, Henan Agricultural University, No. 218 Ping'an Avenue, Zhengdong New District, Zhengzhou, 450046, People's Republic of China
| | - Shuhao Xu
- National Key Laboratory of Wheat and Maize Crop Science, Department of Agronomy, College of Agronomy, Henan Agricultural University, No. 218 Ping'an Avenue, Zhengdong New District, Zhengzhou, 450046, People's Republic of China
| | - Jianxin Li
- National Key Laboratory of Wheat and Maize Crop Science, Department of Agronomy, College of Agronomy, Henan Agricultural University, No. 218 Ping'an Avenue, Zhengdong New District, Zhengzhou, 450046, People's Republic of China
| | - Xuehang Xiong
- National Key Laboratory of Wheat and Maize Crop Science, Department of Agronomy, College of Agronomy, Henan Agricultural University, No. 218 Ping'an Avenue, Zhengdong New District, Zhengzhou, 450046, People's Republic of China
| | - Yan Sun
- National Key Laboratory of Wheat and Maize Crop Science, Department of Agronomy, College of Agronomy, Henan Agricultural University, No. 218 Ping'an Avenue, Zhengdong New District, Zhengzhou, 450046, People's Republic of China
| | - Yan Wang
- Zhucheng Mingjue Tender Company Limited, Weifang, People's Republic of China
| | - Xuebin Zhang
- State Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Kaifeng, People's Republic of China
| | - Dong Ding
- National Key Laboratory of Wheat and Maize Crop Science, Department of Agronomy, College of Agronomy, Henan Agricultural University, No. 218 Ping'an Avenue, Zhengdong New District, Zhengzhou, 450046, People's Republic of China
| | - Xuehai Zhang
- National Key Laboratory of Wheat and Maize Crop Science, Department of Agronomy, College of Agronomy, Henan Agricultural University, No. 218 Ping'an Avenue, Zhengdong New District, Zhengzhou, 450046, People's Republic of China.
| | - Jihua Tang
- National Key Laboratory of Wheat and Maize Crop Science, Department of Agronomy, College of Agronomy, Henan Agricultural University, No. 218 Ping'an Avenue, Zhengdong New District, Zhengzhou, 450046, People's Republic of China.
- The Shennong Laboratory, Zhengzhou, People's Republic of China.
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15
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Li K, Tan H, Li J, Li Z, Qin F, Luo H, Qin D, Weng H, Zhang C. Unveiling the Effects of Carbon-Based Nanomaterials on Crop Growth: From Benefits to Detriments. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2023; 71:11860-11874. [PMID: 37492956 DOI: 10.1021/acs.jafc.3c02768] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/27/2023]
Abstract
To systematically assess the impact of typical CNMs on the growth effects of cereal crops, we conducted a meta-analysis of 48 independent studies worldwide. The pooled results showed that shoot weight (13.39%) and antioxidant metabolite content (SOD: 106.32%, POD: 32.29%, CAT: 22.63%) of cereal crops exposed to the presence of CNMs were significantly increased, but phytohormones secretion (17.84%) was inhibited. The results of subgroup analysis showed that there were differences in the results of different CNM types with the same exposure concentration on growth effects. Short-term exposure adversely affected the root and photosynthetic capacity of the crop, but prolonged exposure instead showed a promoting effect. Multiple linear regression analysis showed that the concentration of CNMs and cereal variety variables were significantly associated with changes in multiple growth effect values. This work could offer references and fresh perspectives for investigating how nanoparticles and crops interact.
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Affiliation(s)
- Keteng Li
- College of Environmental Science and Engineering, Hunan University, Changsha 410082, China
- Key Laboratory of Environmental Biology and Pollution Control, Ministry of Education, Hunan University, Changsha 410082, China
| | - Hao Tan
- College of Environmental Science and Engineering, Hunan University, Changsha 410082, China
| | - Jialing Li
- College of Environmental Science and Engineering, Hunan University, Changsha 410082, China
- Key Laboratory of Environmental Biology and Pollution Control, Ministry of Education, Hunan University, Changsha 410082, China
- School of Design, Hunan University, Changsha 410082, China
| | - Zetong Li
- College of Chemistry and Chemical Engineering, Southwest Petroleum University, Chengdu 610500, Sichuan Province, P. R. China
| | - Fanzhi Qin
- College of Environmental Science and Engineering, Hunan University, Changsha 410082, China
- Key Laboratory of Environmental Biology and Pollution Control, Ministry of Education, Hunan University, Changsha 410082, China
| | - Hanzhuo Luo
- College of Environmental Science and Engineering, Hunan University, Changsha 410082, China
- Key Laboratory of Environmental Biology and Pollution Control, Ministry of Education, Hunan University, Changsha 410082, China
| | - Deyu Qin
- College of Environmental Science and Engineering, Hunan University, Changsha 410082, China
- Key Laboratory of Environmental Biology and Pollution Control, Ministry of Education, Hunan University, Changsha 410082, China
| | - Hao Weng
- College of Environmental Science and Engineering, Hunan University, Changsha 410082, China
- Key Laboratory of Environmental Biology and Pollution Control, Ministry of Education, Hunan University, Changsha 410082, China
| | - Chen Zhang
- College of Environmental Science and Engineering, Hunan University, Changsha 410082, China
- Key Laboratory of Environmental Biology and Pollution Control, Ministry of Education, Hunan University, Changsha 410082, China
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16
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Tian T, Qin F. CIMBL55: a repository for maize drought resistance alleles. STRESS BIOLOGY 2023; 3:13. [PMID: 37676328 PMCID: PMC10441843 DOI: 10.1007/s44154-023-00091-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/03/2023] [Accepted: 04/26/2023] [Indexed: 09/08/2023]
Abstract
Droughts threaten crop yields worldwide. Compared to other major staple cereal crops, maize (Zea mays) is especially sensitive to drought, which can cause dramatic fluctuations in its yield potential. Natural maize populations contain many superior alleles that can enhance drought resistance through complex regulatory mechanisms. We recently de novo assembled the genome of a prominent drought-resistant maize germplasm, CIMBL55, and systematically dissected the genetic basis for its drought resistance on the genome, transcriptome, and epigenome levels. These analyses revealed 65 favorable drought resistance alleles in CIMBL55. Subsequently, we genetically verified the functions of the drought resistance genes ZmABF4, ZmNAC075, and ZmRtn16 and unraveled the function of ZmRtn16 on a molecular level.
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Affiliation(s)
- Tian Tian
- State Key Laboratory of Plant Environmental Resilience, College of Biological Sciences, China Agricultural University, Beijing, 100193 China
| | - Feng Qin
- State Key Laboratory of Plant Environmental Resilience, College of Biological Sciences, China Agricultural University, Beijing, 100193 China
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17
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Li Q, Liu N, Wu C. Novel insights into maize (Zea mays) development and organogenesis for agricultural optimization. PLANTA 2023; 257:94. [PMID: 37031436 DOI: 10.1007/s00425-023-04126-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/04/2022] [Accepted: 03/22/2023] [Indexed: 06/19/2023]
Abstract
In maize, intrinsic hormone activities and sap fluxes facilitate organogenesis patterning and plant holistic development; these hormone movements should be a primary focus of developmental biology and agricultural optimization strategies. Maize (Zea mays) is an important crop plant with distinctive life history characteristics and structural features. Genetic studies have extended our knowledge of maize developmental processes, genetics, and molecular ecophysiology. In this review, the classical life cycle and life history strategies of maize are analyzed to identify spatiotemporal organogenesis properties and develop a definitive understanding of maize development. The actions of genes and hormones involved in maize organogenesis and sex determination, along with potential molecular mechanisms, are investigated, with findings suggesting central roles of auxin and cytokinins in regulating maize holistic development. Furthermore, investigation of morphological and structural characteristics of maize, particularly node ubiquity and the alternate attachment pattern of lateral organs, yields a novel regulatory model suggesting that maize organ initiation and subsequent development are derived from the stimulation and interaction of auxin and cytokinin fluxes. Propositions that hormone activities and sap flow pathways control organogenesis are thoroughly explored, and initiation and development processes of distinctive maize organs are discussed. Analysis of physiological factors driving hormone and sap movement implicates cues of whole-plant activity for hormone and sap fluxes to stimulate maize inflorescence initiation and organ identity determination. The physiological origins and biogenetic mechanisms underlying maize floral sex determination occurring at the tassel and ear spikelet are thoroughly investigated. The comprehensive outline of maize development and morphogenetic physiology developed in this review will enable farmers to optimize field management and will provide a reference for de novo crop domestication and germplasm improvement using genome editing biotechnologies, promoting agricultural optimization.
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Affiliation(s)
- Qinglin Li
- Crop Genesis and Novel Agronomy Center, Yangling, 712100, Shaanxi, China.
| | - Ning Liu
- Shandong ZhongnongTiantai Seed Co., Ltd, Pingyi, 273300, Shandong, China
| | - Chenglai Wu
- State Key Laboratory of Crop Biology, Shandong Agricultural University, Tai'an, 271018, Shandong, China.
- College of Agronomy, Shandong Agricultural University, Tai'an, 271018, Shandong, China.
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18
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Liu J, Dawe RK. Large haplotypes highlight a complex age structure within the maize pan-genome. Genome Res 2023; 33:359-370. [PMID: 36854668 PMCID: PMC10078284 DOI: 10.1101/gr.276705.122] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2022] [Accepted: 02/21/2023] [Indexed: 03/02/2023]
Abstract
The genomes of maize and other eukaryotes contain stable haplotypes in regions of low recombination. These regions, including centromeres, long heterochromatic blocks, and rDNA arrays, have been difficult to analyze with respect to their diversity and origin. Greatly improved genome assemblies are now available that enable comparative genomics over these and other nongenic spaces. Using 26 complete maize genomes, we developed methods to align intergenic sequences while excluding genes and regulatory regions. The centromere haplotypes (cenhaps) extend for megabases on either side of the functional centromere regions and appear as evolutionary strata, with haplotype divergence/coalescence times dating as far back as 450 thousand years ago (kya). Application of the same methods to other low recombination regions (heterochromatic knobs and rDNA) and all intergenic spaces revealed that deep coalescence times are ubiquitous across the maize pan-genome. Divergence estimates vary over a broad timescale with peaks at ∼16 and 300 kya, reflecting a complex history of gene flow among diverging populations and changes in population size associated with domestication. Cenhaps and other long haplotypes provide vivid displays of this ancient diversity.
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Affiliation(s)
- Jianing Liu
- Department of Genetics, University of Georgia, Athens, Georgia 30602, USA
| | - R Kelly Dawe
- Department of Genetics, University of Georgia, Athens, Georgia 30602, USA;
- Department of Plant Biology, University of Georgia, Athens, Georgia 30602, USA
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19
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Grzybowski MW, Mural RV, Xu G, Turkus J, Yang J, Schnable JC. A common resequencing-based genetic marker data set for global maize diversity. THE PLANT JOURNAL : FOR CELL AND MOLECULAR BIOLOGY 2023; 113:1109-1121. [PMID: 36705476 DOI: 10.1111/tpj.16123] [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: 10/28/2022] [Revised: 01/20/2023] [Accepted: 01/23/2023] [Indexed: 06/18/2023]
Abstract
Maize (Zea mays ssp. mays) populations exhibit vast ranges of genetic and phenotypic diversity. As sequencing costs have declined, an increasing number of projects have sought to measure genetic differences between and within maize populations using whole-genome resequencing strategies, identifying millions of segregating single-nucleotide polymorphisms (SNPs) and insertions/deletions (InDels). Unlike older genotyping strategies like microarrays and genotyping by sequencing, resequencing should, in principle, frequently identify and score common genetic variants. However, in practice, different projects frequently employ different analytical pipelines, often employ different reference genome assemblies and consistently filter for minor allele frequency within the study population. This constrains the potential to reuse and remix data on genetic diversity generated from different projects to address new biological questions in new ways. Here, we employ resequencing data from 1276 previously published maize samples and 239 newly resequenced maize samples to generate a single unified marker set of approximately 366 million segregating variants and approximately 46 million high-confidence variants scored across crop wild relatives, landraces as well as tropical and temperate lines from different breeding eras. We demonstrate that the new variant set provides increased power to identify known causal flowering-time genes using previously published trait data sets, as well as the potential to track changes in the frequency of functionally distinct alleles across the global distribution of modern maize.
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Affiliation(s)
- Marcin W Grzybowski
- Center for Plant Science Innovation, University of Nebraska-Lincoln, Lincoln, Nebraska, USA
- Department of Agronomy and Horticulture, University of Nebraska-Lincoln, Lincoln, Nebraska, USA
- Department of Plant Molecular Ecophysiology, Institute of Plant Experimental Biology and Biotechnology, Faculty of Biology, University of Warsaw, Warsaw, Poland
| | - Ravi V Mural
- Center for Plant Science Innovation, University of Nebraska-Lincoln, Lincoln, Nebraska, USA
- Department of Agronomy and Horticulture, University of Nebraska-Lincoln, Lincoln, Nebraska, USA
| | - Gen Xu
- Center for Plant Science Innovation, University of Nebraska-Lincoln, Lincoln, Nebraska, USA
- Department of Agronomy and Horticulture, University of Nebraska-Lincoln, Lincoln, Nebraska, USA
| | - Jonathan Turkus
- Center for Plant Science Innovation, University of Nebraska-Lincoln, Lincoln, Nebraska, USA
- Department of Agronomy and Horticulture, University of Nebraska-Lincoln, Lincoln, Nebraska, USA
| | - Jinliang Yang
- Center for Plant Science Innovation, University of Nebraska-Lincoln, Lincoln, Nebraska, USA
- Department of Agronomy and Horticulture, University of Nebraska-Lincoln, Lincoln, Nebraska, USA
| | - James C Schnable
- Center for Plant Science Innovation, University of Nebraska-Lincoln, Lincoln, Nebraska, USA
- Department of Agronomy and Horticulture, University of Nebraska-Lincoln, Lincoln, Nebraska, USA
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20
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Wang K, Zhang Z, Sha X, Yu P, Li Y, Zhang D, Liu X, He G, Li Y, Wang T, Guo J, Chen J, Li C. Identification of a new QTL underlying seminal root number in a maize-teosinte population. FRONTIERS IN PLANT SCIENCE 2023; 14:1132017. [PMID: 36824192 PMCID: PMC9941338 DOI: 10.3389/fpls.2023.1132017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/26/2022] [Accepted: 01/13/2023] [Indexed: 06/18/2023]
Abstract
Seminal roots play an important role in acquisition of water and nutrients by maize seedlings. Compared with its teosinte ancestor, maize underwent a change in seminal root number (SRN). Although several key genes controlling SRN have been cloned, identification and utilization of new genes from teosinte would be useful for improving maize root architecture. In this study, a maize-teosinte BC2F6 population containing 206 individuals genotyped by resequencing was used to conduct high-resolution quantitative trait locus (QTL) mapping of SRN. A new major QTL on chromosome 7 (qSRN7) was identified. Differentially expressed genes (DEGs) based on RNA-Seq were identified between two inbred lines with no SRN and multiple SRN at two periods of seminal roots primordia formation. A total of 116 DEGs detected in at least one period were identified within the qSRN7 interval. Three DEGs (Zm00001d021572, Zm00001d021579 and Zm00001d021861) associated with SRN were identified through regional association mapping. When compared with reported domestication-related selective sweeps, Zm00001d021572 was selected during maize domestication. Our findings provide important insights into the genetic basis of SRN and identify a promising candidate gene for further studies on SRN.
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Affiliation(s)
- Kailiang Wang
- College of Agriculture, Shanxi Agricultural University, Jinzhong, China
| | - Zhen Zhang
- College of Life Sciences, Henan Agricultural University, Zhengzhou, China
| | - XiaoQian Sha
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Peng Yu
- Crop Functional Genomics, Institute of Crop Science and Resource Conservation (INRES), University of Bonn, Bonn, Germany
- Emmy Noether Group Root Functional Biology, Institute of Crop Science and Resource Conservation (INRES), University of Bonn, Bonn, Germany
| | - Yongxiang Li
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Dengfeng Zhang
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Xuyang Liu
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Guanhua He
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Yu Li
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Tianyu Wang
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Jie Guo
- College of Agriculture, Shanxi Agricultural University, Jinzhong, China
| | - Jiafa Chen
- College of Life Sciences, Henan Agricultural University, Zhengzhou, China
| | - Chunhui Li
- Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China
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21
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Gui S, Martinez-Rivas FJ, Wen W, Meng M, Yan J, Usadel B, Fernie AR. Going broad and deep: sequencing-driven insights into plant physiology, evolution, and crop domestication. THE PLANT JOURNAL : FOR CELL AND MOLECULAR BIOLOGY 2023; 113:446-459. [PMID: 36534120 DOI: 10.1111/tpj.16070] [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: 10/26/2022] [Revised: 12/12/2022] [Accepted: 12/13/2022] [Indexed: 06/17/2023]
Abstract
Deep sequencing is a term that has become embedded in the plant genomic literature in recent years and with good reason. A torrent of (largely) high-quality genomic and transcriptomic data has been collected and most of this has been publicly released. Indeed, almost 1000 plant genomes have been reported (www.plabipd.de) and the 2000 Plant Transcriptomes Project has long been completed. The EarthBioGenome project will dwarf even these milestones. That said, massive progress in understanding plant physiology, evolution, and crop domestication has been made by sequencing broadly (across a species) as well as deeply (within a single individual). We will outline the current state of the art in genome and transcriptome sequencing before we briefly review the most visible of these broad approaches, namely genome-wide association and transcriptome-wide association studies, as well as the compilation of pangenomes. This will include both (i) the most commonly used methods reliant on single nucleotide polymorphisms and short InDels and (ii) more recent examples which consider structural variants. We will subsequently present case studies exemplifying how their application has brought insight into either plant physiology or evolution and crop domestication. Finally, we will provide conclusions and an outlook as to the perspective for the extension of such approaches to different species, tissues, and biological processes.
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Affiliation(s)
- Songtao Gui
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, China
| | | | - Weiwei Wen
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, China
| | - Minghui Meng
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, China
| | - Jianbing Yan
- National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, China
| | - Björn Usadel
- IBG-4 Bioinformatics, Forschungszentrum Jülich, Wilhelm Johnen Str, BioSc, 52428, Jülich, Germany
- Institute for Biological Data Science, CEPLAS, Heinrich Heine University, 40225, Düsseldorf, Germany
| | - Alisdair R Fernie
- Max-Planck-Institute of Molecular Plant Physiology, Am Mühlenberg 1, Potsdam-Golm, 14476, Germany
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22
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Li X, Wang X, Ma Q, Zhong Y, Zhang Y, Zhang P, Li Y, He R, Zhou Y, Li Y, Cheng M, Yan X, Li Y, He J, Iqbal MZ, Rong T, Tang Q. Integrated single-molecule real-time sequencing and RNA sequencing reveal the molecular mechanisms of salt tolerance in a novel synthesized polyploid genetic bridge between maize and its wild relatives. BMC Genomics 2023; 24:55. [PMID: 36717785 PMCID: PMC9887930 DOI: 10.1186/s12864-023-09148-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2022] [Accepted: 01/23/2023] [Indexed: 02/01/2023] Open
Abstract
BACKGROUND Tripsacum dactyloides (2n = 4x = 72) and Zea perennis (2n = 4x = 40) are tertiary gene pools of Zea mays L. and exhibit many abiotic adaptations absent in modern maize, especially salt tolerance. A previously reported allopolyploid (hereafter referred to as MTP, 2n = 74) synthesized using Zea mays, Tripsacum dactyloides, and Zea perennis has even stronger salt tolerance than Z. perennis and T. dactyloides. This allopolyploid will be a powerful genetic bridge for the genetic improvement of maize. However, the molecular mechanisms underlying its salt tolerance, as well as the key genes involved in regulating its salt tolerance, remain unclear. RESULTS Single-molecule real-time sequencing and RNA sequencing were used to identify the genes involved in salt tolerance and reveal the underlying molecular mechanisms. Based on the SMRT-seq results, we obtained 227,375 reference unigenes with an average length of 2300 bp; most of the unigenes were annotated to Z. mays sequences (76.5%) in the NR database. Moreover, a total of 484 and 1053 differentially expressed genes (DEGs) were identified in the leaves and roots, respectively. Functional enrichment analysis of DEGs revealed that multiple pathways responded to salt stress, including "Flavonoid biosynthesis," "Oxidoreductase activity," and "Plant hormone signal transduction" in the leaves and roots, and "Iron ion binding," "Acetyl-CoA carboxylase activity," and "Serine-type carboxypeptidase activity" in the roots. Transcription factors, such as those in the WRKY, B3-ARF, and bHLH families, and cytokinin negatively regulators negatively regulated the salt stress response. According to the results of the short time series-expression miner analysis, proteins involved in "Spliceosome" and "MAPK signal pathway" dynamically responded to salt stress as salinity changed. Protein-protein interaction analysis revealed that heat shock proteins play a role in the large interaction network regulating salt tolerance. CONCLUSIONS Our results reveal the molecular mechanism underlying the regulation of MTP in the response to salt stress and abundant salt-tolerance-related unigenes. These findings will aid the retrieval of lost alleles in modern maize and provide a new approach for using T. dactyloides and Z. perennis to improve maize.
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Affiliation(s)
- Xiaofeng Li
- grid.80510.3c0000 0001 0185 3134Sichuan Agricultural University, Chengdu, 611130 China
| | - Xingyu Wang
- grid.80510.3c0000 0001 0185 3134Sichuan Agricultural University, Chengdu, 611130 China
| | - Qiangqiang Ma
- grid.80510.3c0000 0001 0185 3134Sichuan Agricultural University, Chengdu, 611130 China
| | - Yunfeng Zhong
- grid.80510.3c0000 0001 0185 3134Sichuan Agricultural University, Chengdu, 611130 China
| | - Yibo Zhang
- grid.80510.3c0000 0001 0185 3134Sichuan Agricultural University, Chengdu, 611130 China
| | - Ping Zhang
- grid.452857.9Chengdu Research Base of Giant Panda Breeding, Chengdu, 61130 China
| | - Yingzheng Li
- grid.80510.3c0000 0001 0185 3134Sichuan Agricultural University, Chengdu, 611130 China
| | - Ruyu He
- grid.80510.3c0000 0001 0185 3134Sichuan Agricultural University, Chengdu, 611130 China
| | - Yang Zhou
- grid.80510.3c0000 0001 0185 3134Sichuan Agricultural University, Chengdu, 611130 China
| | - Yang Li
- Mianyang Teachers’ College School of Urban and Rural Construction and Planning, Mianyany, 621000 China
| | - Mingjun Cheng
- grid.412723.10000 0004 0604 889XInstitute of Qinghai-Tibetan Plateau, Southwest Minzu University, Chengdu, 610041 China
| | - Xu Yan
- grid.465230.60000 0004 1777 7721Sericulture Research Institute, Sichuan Academy of Agricultural Sciences, Nanchong, 637000 China
| | - Yan Li
- grid.465230.60000 0004 1777 7721Crop Research Institute, Sichuan Academy of Agricultural Sciences, Chengdu, 611041 China
| | - Jianmei He
- grid.80510.3c0000 0001 0185 3134Sichuan Agricultural University, Chengdu, 611130 China
| | - Muhammad Zafar Iqbal
- grid.80510.3c0000 0001 0185 3134Sichuan Agricultural University, Chengdu, 611130 China
| | - Tingzhao Rong
- grid.80510.3c0000 0001 0185 3134Sichuan Agricultural University, Chengdu, 611130 China
| | - Qilin Tang
- grid.80510.3c0000 0001 0185 3134Sichuan Agricultural University, Chengdu, 611130 China
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23
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Bernal JS, Helms AM, Fontes-Puebla AA, DeWitt TJ, Kolomiets MV, Grunseich JM. Root volatile profiles and herbivore preference are mediated by maize domestication, geographic spread, and modern breeding. PLANTA 2022; 257:24. [PMID: 36562877 DOI: 10.1007/s00425-022-04057-0] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/24/2022] [Accepted: 12/12/2022] [Indexed: 05/19/2023]
Abstract
Domestication affected the abundances and diversity of maize root volatiles more than northward spread and modern breeding, and herbivore preference for roots was correlated with volatile diversity and herbivore resistance. Studies show that herbivore defenses in crops are mediated by domestication, spread, and breeding, among other human-driven processes. They also show that those processes affected chemical communication between crop plants and herbivores. We hypothesized that (i) preference of the herbivore (Diabrotica virgifera virgifera) larvae for embryonic roots of maize (Zea mays mays) would increase and (ii) root volatile diversity would decrease with the crop's domestication, northward spread to present-day USA, and modern breeding. We used Balsas teosinte (Zea mays parviglumis), Mexican and USA landrace maizes, and US inbred maize lines to test these hypotheses. We found that herbivore preference and volatile diversity increased with maize domestication and northward spread but decreased with modern breeding. Additionally, we found that the abundances of single volatiles did not consistently increase or decrease with maize domestication, spread, and breeding; rather, volatiles grouped per their abundances were differentially affected by those processes, and domestication had the greatest effects. Altogether, our results suggested that: the herbivore's preference for maize roots is correlated with volatile diversity and herbivore resistance; changes in abundances of individual volatiles are evident at the level of volatile groups; and maize domestication, but not spread and breeding, affected the abundances of some green leaf volatiles and sesquiterpenes/sesquiterpenoids. In part, we discussed our results in the context of herbivore defense evolution when resources for plant growth and defense vary across environments. We suggested that variability in relative abundance of volatiles may be associated with their local, functional relevance across wild and agricultural environments.
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Affiliation(s)
- Julio S Bernal
- Department of Entomology, Texas A&M University, College Station, TX, 77843-2475, USA.
| | - Anjel M Helms
- Department of Entomology, Texas A&M University, College Station, TX, 77843-2475, USA
| | - Ana A Fontes-Puebla
- Department of Entomology, Texas A&M University, College Station, TX, 77843-2475, USA
- Instituto Nacional de Investigaciones Forestales, Texas A&M University, 83220, Hermosillo, Son, Mexico
| | - Thomas J DeWitt
- Department of Entomology, Texas A&M University, College Station, TX, 77843-2475, USA
- Department of Ecology and Conservation Biology, Texas A&M University, College Station, TX, 77843-2258, USA
| | - Michael V Kolomiets
- Department of Entomology, Texas A&M University, College Station, TX, 77843-2475, USA
- Department of Plant Pathology and Microbiolgy, Texas A&M University, College Station, TX, 77843-2132, USA
| | - John M Grunseich
- Department of Entomology, Texas A&M University, College Station, TX, 77843-2475, USA
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