Poster (download)

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Alena Sokolkova1, Sergey V. Bulyntsev2, Peter L. Chang3, Noelia Carrasquila-Garcia4, Eric von Wettberg5, Margarita A. Vishnyakova6, Douglas R. Cook7, Sergey V. Nuzhdin8, Maria G. Samsonova9
1Peter the Great St. Petersburg Polytechnic University, St. Petersburg, Russia, alyonasok@yandex.ru
2Federal Research Centre All-Russian N.I. Vavilov Institute of Plant Genetic Resources (VIR), St. Petersburg, Russia, s_bulyntsev@mail.ru
3University of Southern California, Program in Molecular and Computational Biology, Dornsife College of Letters Arts & Sciences, Los Angeles, CA 90089 USA, peterc@usc.edu
4University of California Davis, Department of Plant Pathology, Davis, CA 95616 USA, noecarras@ucdavis.edu
5University of Vermont, Department of Plant and Soil Science, Burlington, VT 05405, USA, eric.bishop-von-wettberg@uvm.edu
6Federal Research Centre All-Russian N.I. Vavilov Institute of Plant Genetic Resources (VIR), St. Petersburg, Russia, m.vishnyakova@vir.nw.ru
7University of California Davis, Department of Plant Pathology, Davis, CA 95616 USA, drcook@ucdavis.edu
8University of Southern California, Program in Molecular and Computational Biology, Dornsife College of Letters Arts & Sciences, Los Angeles, CA 90089 USA, snuzhdin@usc.edu
9Peter the Great St. Petersburg Polytechnic University, Department of Applied Mathematics, St. Petersburg, Russia, m.g.samsonova@gmail.com

The Vavilov seed bank contains numerous landraces collected nearly hundred years ago, before intensive breeding of most crops, and thus is a potential reservoir of historic crop adaptations. Here we analyze the genomes of 407 of Vavilov\’s original landraces, sampled from major historic centers of chickpea cultivation and secondary diversification. We performed GWAS to find associations between VIR’s chickpea accessions and phenotypic data obtained in Kuban experimental station of VIR in 2017 under infectious conditions. To find out the effects of infectious conditions on phenotypic traits, the data was subjected to AMMI and GGE biplot analyses.