Please use this identifier to cite or link to this item: http://223.31.159.10:8080/jspui/handle/123456789/1257
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dc.contributor.authorVarshney, Rajeev K-
dc.contributor.authorRoorkiwal, Manish-
dc.contributor.authorSun, Shuai-
dc.contributor.authorBajaj, Prasad-
dc.contributor.authorChitikineni, Annapurna-
dc.contributor.authorThudi, Mahendar-
dc.contributor.authorSingh, Narendra P-
dc.contributor.authorDu, Xiao-
dc.contributor.authorUpadhyaya, Hari D-
dc.contributor.authorKhan, Aamir W-
dc.contributor.authorWang, Yue-
dc.contributor.authorGarg, Vanika-
dc.contributor.authorFan, Guangyi-
dc.contributor.authorCowling, Wallace A-
dc.contributor.authorCrossa, José-
dc.contributor.authorGentzbittel, Laurent-
dc.contributor.authorVoss-Fels, Kai Peter-
dc.contributor.authorValluri, Vinod Kumar-
dc.contributor.authorSinha, Pallavi-
dc.contributor.authorSingh, Vikas K-
dc.contributor.authorBen, Cécile-
dc.contributor.authorRathore, Abhishek-
dc.contributor.authorPunna, Ramu-
dc.contributor.authorSingh, Muneendra K-
dc.contributor.authorTar'an, Bunyamin-
dc.contributor.authorBharadwaj, Chellapilla-
dc.contributor.authorYasin, Mohammad-
dc.contributor.authorPithia, Motisagar S-
dc.contributor.authorSingh, Servejeet-
dc.contributor.authorSoren, Khela Ram-
dc.contributor.authorKudapa, Himabindu-
dc.contributor.authorJarquín, Diego-
dc.contributor.authorCubry, Philippe-
dc.contributor.authorHickey, Lee T-
dc.contributor.authorDixit, Girish Prasad-
dc.contributor.authorThuillet, Anne-Céline-
dc.contributor.authorHamwieh, Aladdin-
dc.contributor.authorKumar, Shiv-
dc.contributor.authorDeokar, Amit A-
dc.contributor.authorChaturvedi, Sushil K-
dc.contributor.authorFrancis, Aleena-
dc.contributor.authorHoward, Réka-
dc.contributor.authorChattopadhyay, Debasis-
dc.contributor.authorEdwards, David-
dc.contributor.authorLyons, Eric-
dc.contributor.authorVigouroux, Yves-
dc.contributor.authorHayes, Ben J-
dc.contributor.authorWettberg, Eric von-
dc.contributor.authorDatta, Swapan K-
dc.contributor.authorYang, Huanming-
dc.contributor.authorNguyen, Henry T-
dc.contributor.authorWang, Jian-
dc.contributor.authorSiddique, Kadambot H M-
dc.contributor.authorMohapatra, Trilochan-
dc.contributor.authorBennetzen, Jeffrey L-
dc.contributor.authorXu, Xun-
dc.contributor.authorLiu, Xin-
dc.date.accessioned2021-11-16T09:35:58Z-
dc.date.available2021-11-16T09:35:58Z-
dc.date.issued2021-
dc.identifier.citationNature, 599: 622–627en_US
dc.identifier.issn0028-0836-
dc.identifier.otherhttps://doi.org/10.1038/s41586-021-04066-1-
dc.identifier.urihttps://www.nature.com/articles/s41586-021-04066-1-
dc.identifier.urihttp://223.31.159.10:8080/jspui/handle/123456789/1257-
dc.descriptionAccepted date: 28 September 2021en_US
dc.description.abstractZero hunger and good health could be realized by 2030 through effective conservation, characterization and utilization of germplasm resources1. So far, few chickpea (Cicer arietinum) germplasm accessions have been characterized at the genome sequence level2. Here we present a detailed map of variation in 3,171 cultivated and 195 wild accessions to provide publicly available resources for chickpea genomics research and breeding. We constructed a chickpea pan-genome to describe genomic diversity across cultivated chickpea and its wild progenitor accessions. A divergence tree using genes present in around 80% of individuals in one species allowed us to estimate the divergence of Cicer over the last 21 million years. Our analysis found chromosomal segments and genes that show signatures of selection during domestication, migration and improvement. The chromosomal locations of deleterious mutations responsible for limited genetic diversity and decreased fitness were identified in elite germplasm. We identified superior haplotypes for improvement-related traits in landraces that can be introgressed into elite breeding lines through haplotype-based breeding, and found targets for purging deleterious alleles through genomics-assisted breeding and/or gene editing. Finally, we propose three crop breeding strategies based on genomic prediction to enhance crop productivity for 16 traits while avoiding the erosion of genetic diversity through optimal contribution selection (OCS)-based pre-breeding. The predicted performance for 100-seed weight, an important yield-related trait, increased by up to 23% and 12% with OCS- and haplotype-based genomic approaches, respectively.en_US
dc.description.sponsorshipR.K.V. acknowledges funding support in part from the Department of Agriculture and Farmers’ Welfare, Ministry of Agriculture and Farmers’ Welfare; Department of Biotechnology, Ministry of Science and Technology under the Indo- Australian Biotechnology Fund, Government of India, and the Bill & Melinda Gates Foundation; X.L. acknowledges the National Key R&D Program of China (2019YFC1711000), the Shenzhen Municipal Government of China (JCYJ20170817145512476) and the Guangdong Provincial Key Laboratory of Genome Read and Write (2017B030301011); E.L. thanks the National Science Foundation for funding CyVerse work (DBI-0735191, DBI-1265383 and DBI-1743442); and R.K.V. and W.A.C. thank B. Kinghorn for providing access to MateSel software and for help with OCS in this paper. We also thank S. Abbo and M. W. Bevan for their inputs while we were preparing the manuscript; M. Caccamo for constructive criticism and suggestions to improve the quality of the manuscript; and DivSeek International Network and its members, especially S. McCouch for useful discussions related to ‘The 3000 Chickpea Genome Sequencing Initiative’. R.K.V. conceived and designed the experiments. R.K.V. and X.L. coordinated the genome data analysis. R.K.V. and A.C. coordinated the sequencing. M.R., A.C., M.T., N.P.S., H.D.U., M.K.S., M.Y., M.S.P., S. Singh, K.R.S., G.P.D., A.H., S.K. and S.K.C. performed the laboratory and field experiments. R.K.V., M.R., S. Sun., P.B., M.T., N.P.S., X.D., A.W.K., Y.W., V.G., G.F., W.A.C., J.C., L.G., K.P.V.-F., V.K.V., P.S., V.K.S., C. Ben, R.P., C. Bharadwaj, H.K., L.T.H., A.A.D., D.E., Y.V., B.J.H., E.v.W., S.K.D., H.T.N., K.H.M.S., T.M., J.L.B., X.X. and X.L. analysed the data. S. Sun., P.B., X.D., A.W.K., Y.W., V.G., G.F., W.A.C., J.C., L.G., K.P.V.-F., P.S., V.K.S., C. Ben., A.R., D.J., P.C., A.-C.T., R.H., Y.V. and X.L. performed statistical analysis. R.K.V., A.C., N.P.S., H.D.U., B.T., G.P.D., E.L., S.K.D., D.C., A.F., H.Y., J.W., T.M., X.X. and X.L. contributed to the reagents, materials and analysis tools. R.K.V., M.R., P.B., M.T., W.A.C., J.C., L.G., K.P.V.-F., Y.V., K.H.M.S., J.L.B. and X.L. wrote the manuscript. All authors read and approved the manuscript.en_US
dc.language.isoen_USen_US
dc.publisherSpringer Nature Publishing AGen_US
dc.subjectStructural variationen_US
dc.subjectPlant breedingen_US
dc.subjectNatural variation in plantsen_US
dc.subjectAgricultural geneticsen_US
dc.subjectgenomesen_US
dc.subjectsequencingen_US
dc.subjectchickpeaen_US
dc.titleA chickpea genetic variation map based on the sequencing of 3,366 genomesen_US
dc.typeArticleen_US
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