GWAShub: A Web-based Resource to Democratize Genome-Wide Association Studies in Crop Plants

Abstract

Genome-wide association study (GWAS) is a popular approach for linking natural genetic variation with phenotype variation and thus is central to crop quantitative genetics. The ever-increasing wealth of publicly available genomic sequence information for crop plants presents an unprecedented opportunity for utilizing GWAS for the identification of genes governing a plethora of agronomic traits. However, the lack of technical expertise and computational infrastructure is still hindering the ability of plant breeders to conduct GWAS in a self-reliant manner. Here, we present a GWAShub web server that provides a user-friendly interface for performing comprehensive GWAS and post-GWAS in crop plants utilizing publicly available genomic sequence variation data, comprehensive annotation data and diverse computational tools. The utility of GWAS-hub was further demonstrated by conducting large-scale GWAS for flowering/maturity time traits in chickpea. This analysis identified three different flowering/maturity time associated genes, all encoding different histone methyltransferases. Thus, epigenetic regulation is identified as vital mechanism regulating flowering time and maturity duration in chickpea. Finally, we hope GWAShub (www.gwashub.com) will enable resource-scarce researchers to join the GWAS revolution fueled by advancements in next-generation sequencing and computational genomics