@article{fdi:010083322,
  title = {{A} chickpea genetic variation map based on the sequencing of 3,366 genomes},
  author = {{V}arshney, {R}. {K}. and {R}oorkiwal, {M}. and {S}un, {S}. and {B}ajaj, {P}. and {C}hitikineni, {A}. and {T}hudi, {M}. and {S}ingh, {N}. {P}. and {D}u, {X}. and {U}padhyaya, {H}. {D}. and {K}han, {A}. {W}. and {W}ang, {Y}. and {G}arg, {V}. and {F}an, {G}. {Y}. and {C}owling, {W}. {A}. and {C}rossa, {J}. and {G}entzbittel, {L}. and {V}oss-{F}els, {K}. {P}. and {V}alluri, {V}. {K}. and {S}inha, {P}. and {S}ingh, {V}. {K}. and {B}en, {C}. {L}. and {R}athore, {A}. and {P}unna, {R}. and {S}ingh, {M}. {K}. and {T}ar'an, {B}. and {B}haradwaj, {C}. and {Y}asin, {M}. and {P}ithia, {M}. {S}. and {S}ingh, {S}. and {S}oren, {K}. {R}. and {K}udapa, {H}. and {J}arquin, {D}. and {C}ubry, {P}hilippe and {H}ickey, {L}. {T}. and {D}ixit, {G}. {P}. and {T}huillet, {A}nne-{C}{\'e}line and {H}amwieh, {A}. and {K}umar, {S}. and {D}eokar, {A}. {A}. and {C}haturvedi, {S}. {K}. and {F}rancis, {A}. and {H}oward, {R}. and {C}hattopadhyay, {D}. and {E}dwards, {D}. and {L}yons, {E}. and {V}igouroux, {Y}ves and {H}ayes, {B}. and von {W}ettberg, {E}. and {D}atta, {S}. {K}. and {Y}ang, {H}. {M}. and {N}guyen, {H}. {T}. and {W}ang, {J}. and {S}iddique, {K}. {H}. {M}. and {M}ohapatra, {T}. and {B}ennetzen, {J}. {L}. and {X}u, {X}. and {L}iu, {X}.},
  editor = {},
  language = {{ENG}},
  abstract = {{Z}ero hunger and good health could be realized by 2030 through effective conservation, characterization and utilization of germplasm resources(1). {S}o far, few chickpea ({C}icerarietinum) germplasm accessions have been characterized at the genome sequence level(2). {H}ere 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. {W}e 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 {C}icer over the last 21 million years. {O}ur analysis found chromosomal segments and genes that show signatures of selection during domestication, migration and improvement. {T}he chromosomal locations of deleterious mutations responsible for limited genetic diversity and decreased fitness were identified in elite germplasm. {W}e 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. {F}inally, 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. {T}he 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.},
  keywords = {},
  booktitle = {},
  journal = {{N}ature},
  volume = {[{E}arly access]},
  numero = {},
  pages = {[6 ] + [19 p.]},
  ISSN = {0028-0836},
  year = {2021},
  DOI = {10.1038/s41586-021-04066-1},
  URL = {https://www.documentation.ird.fr/hor/fdi:010083322},
}