Genomic Analysis of Vavilov’s Historic Chickpea Landraces Reveals Footprints of Environmental and Human Selection

Author:

Sokolkova Alena1ORCID,Bulyntsev Sergey V.2,Chang Peter L.3ORCID,Carrasquilla-Garcia Noelia4,Igolkina Anna A.1ORCID,Noujdina Nina V.15,von Wettberg Eric6ORCID,Vishnyakova Margarita A.2,Cook Douglas R.4,Nuzhdin Sergey V.13,Samsonova Maria G.1

Affiliation:

1. Department of Applied Mathematics, Peter the Great St. Petersburg Polytechnic University, 195251 St. Petersburg, Russia

2. Federal Research Centre All-Russian N.I. Vavilov Institute of Plant Genetic Resources (VIR), 190000 St. Petersburg, Russia

3. Dornsife College of Letters Arts & Sciences, Program in Molecular and Computational Biology, University of Southern California, Los Angeles, CA 90089, USA

4. Department of Plant Pathology, University of California Davis, Davis, CA 95616, USA

5. Department of Geography, University of California Los Angeles, Los Angeles, CA 90095, USA

6. Department of Plant and Soil Science, University of Vermont, Burlington, VT 05405, USA

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.

Funder

RNF

Feed the Future Program

US National Science Foundation Plant Genome Program

Global Crop Diversity Trust

Publisher

MDPI AG

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