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 a 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.