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Genomic Analysis of Vavilov's Historic Chickpea Landraces Reveals Footprints of Environmental and Human Selection.
Sokolkova, Alena; Bulyntsev, Sergey V; Chang, Peter L; Carrasquilla-Garcia, Noelia; Igolkina, Anna A; Noujdina, Nina V; von Wettberg, Eric; Vishnyakova, Margarita A; Cook, Douglas R; Nuzhdin, Sergey V; Samsonova, Maria G.
Afiliação
  • Sokolkova A; Department of Applied Mathematics, Peter the Great St. Petersburg Polytechnic University, 195251 St. Petersburg, Russia.
  • Bulyntsev SV; Federal Research Centre All-Russian N.I. Vavilov Institute of Plant Genetic Resources (VIR), 190000 St. Petersburg, Russia.
  • Chang PL; Dornsife College of Letters Arts & Sciences, Program in Molecular and Computational Biology, University of Southern California, Los Angeles, CA 90089, USA.
  • Carrasquilla-Garcia N; Department of Plant Pathology, University of California Davis, Davis, CA 95616, USA.
  • Igolkina AA; Department of Applied Mathematics, Peter the Great St. Petersburg Polytechnic University, 195251 St. Petersburg, Russia.
  • Noujdina NV; Department of Applied Mathematics, Peter the Great St. Petersburg Polytechnic University, 195251 St. Petersburg, Russia.
  • von Wettberg E; Department of Geography, University of California Los Angeles, Los Angeles, CA 90095, USA.
  • Vishnyakova MA; Department of Plant and Soil Science, University of Vermont, Burlington, VT 05405, USA.
  • Cook DR; Federal Research Centre All-Russian N.I. Vavilov Institute of Plant Genetic Resources (VIR), 190000 St. Petersburg, Russia.
  • Nuzhdin SV; Department of Plant Pathology, University of California Davis, Davis, CA 95616, USA.
  • Samsonova MG; Department of Applied Mathematics, Peter the Great St. Petersburg Polytechnic University, 195251 St. Petersburg, Russia.
Int J Mol Sci ; 21(11)2020 May 31.
Article em En | MEDLINE | ID: mdl-32486400
ABSTRACT
A defining challenge of the 21st century is meeting the nutritional demands of the growing human population, under a scenario of limited land and water resources and under the specter of climate change. The Vavilov seed bank contains numerous landraces collected nearly a hundred years ago, and thus may contain 'genetic gems' with the potential to enhance modern breeding efforts. Here, we analyze 407 landraces, sampled from major historic centers of chickpea cultivation and secondary diversification. Genome-Wide Association Studies (GWAS) conducted on both phenotypic traits and bioclimatic variables at landraces sampling sites as extended phenotypes resulted in 84 GWAS hits associated to various regions. The novel haploblock-based test identified haploblocks enriched for single nucleotide polymorphisms (SNPs) associated with phenotypes and bioclimatic variables. Subsequent bi-clustering of traits sharing enriched haploblocks underscored both non-random distribution of SNPs among several haploblocks and their association with multiple traits. We hypothesize that these clusters of pleiotropic SNPs represent co-adapted genetic complexes to a range of environmental conditions that chickpea experienced during domestication and subsequent geographic radiation. Linking genetic variation to phenotypic data and a wealth of historic information preserved in historic seed banks are the keys for genome-based and environment-informed breeding intensification.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Sementes / Produtos Agrícolas / Cicer / Melhoramento Vegetal Tipo de estudo: Prognostic_studies Idioma: En Revista: Int J Mol Sci Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Federação Russa

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Sementes / Produtos Agrícolas / Cicer / Melhoramento Vegetal Tipo de estudo: Prognostic_studies Idioma: En Revista: Int J Mol Sci Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Federação Russa