An associative transcriptomics study on rice bean (Vigna umbellata) provides new insights into genetic basis and candidate genes governing flowering, maturity and seed weight
Rice bean is an underrated legume with significant potential to support food and nutritional security worldwide, being a rich source of proteins, minerals, and essential fatty acids. Therefore, we considered three pivotal production traits of rice bean; flowering, maturity and seed weight, to identify associated candidate genes. One-hundred diverse genotypes out of 1800 evaluated rice bean accessions from the Indian National Genebank were considered for phenotypic data collection and genotyping by transcriptome sequencing approach. Association analysis involving various GWAS models was conducted to identify significant marker-trait associations. The results revealed association of 82 markers on 48 transcripts for flowering, 26 markers on 22 transcripts for maturity and 22 markers on 21 transcripts for seed weight. The annotation of associated transcripts unraveled the functional genes related to the considered traits. Among the significant candidate genes identified, HSC80, P-II PsbX, phospholipid-transporting-ATPase-9, pectin-acetylesterase-8 and E3-ubiquitin-protein-ligase-RHG1A were found associated with flowering. Further, associations of WRKY1 and DEAD-box-RH27 with seed weight, PIF3 and pentatricopeptide-repeat-containing-gene with maturity & seed weight and aldo-keto-reductase with flowering & maturity have been revealed. The present investigation provides insights into the genetic mechanisms governing economically-essential traits like flowering, maturity and seed weight that can be potentially utilized for rice bean improvement. HighlightsThe present investigation is the first associative transcriptomics approach implemented on Vigna umbellata. Based on the marker-trait association analysis, candidate genes for flowering, maturity and seed weight traits are reported.