A chickpea genetic variation map based on the sequencing of 3,366 genomes

Author:

Varshney Rajeev K.ORCID,Roorkiwal ManishORCID,Sun ShuaiORCID,Bajaj PrasadORCID,Chitikineni Annapurna,Thudi MahendarORCID,Singh Narendra P.,Du Xiao,Upadhyaya Hari D.,Khan Aamir W.ORCID,Wang YueORCID,Garg VanikaORCID,Fan Guangyi,Cowling Wallace A.ORCID,Crossa José,Gentzbittel LaurentORCID,Voss-Fels Kai PeterORCID,Valluri Vinod Kumar,Sinha Pallavi,Singh Vikas K.,Ben Cécile,Rathore AbhishekORCID,Punna RamuORCID,Singh Muneendra K.,Tar’an Bunyamin,Bharadwaj Chellapilla,Yasin Mohammad,Pithia Motisagar S.,Singh Servejeet,Soren Khela Ram,Kudapa HimabinduORCID,Jarquín DiegoORCID,Cubry Philippe,Hickey Lee T.ORCID,Dixit Girish Prasad,Thuillet Anne-Céline,Hamwieh AladdinORCID,Kumar Shiv,Deokar Amit A.,Chaturvedi Sushil K.,Francis Aleena,Howard Réka,Chattopadhyay Debasis,Edwards DavidORCID,Lyons Eric,Vigouroux YvesORCID,Hayes Ben J.ORCID,von Wettberg EricORCID,Datta Swapan K.,Yang Huanming,Nguyen Henry T.ORCID,Wang Jian,Siddique Kadambot H. M.ORCID,Mohapatra Trilochan,Bennetzen Jeffrey L.ORCID,Xu XunORCID,Liu XinORCID

Abstract

AbstractZero hunger and good health could be realized by 2030 through effective conservation, characterization and utilization of germplasm resources1. So far, few chickpea (Cicerarietinum) 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.

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

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