Combination of meta‐analysis of QTL and GWAS to uncover the genetic architecture of seed yield and seed yield components in common bean

Abstract

AbstractIncreasing seed yield in common bean could help to improve food security and reduce malnutrition globally due to the high nutritional quality of this crop. However, the complex genetic architecture and prevalent genotype by environment interactions for seed yield makes increasing genetic gains challenging. The aim of this study was to identify the most consistent genomic regions related with seed yield components and phenology reported in the last 20 years in common bean. A meta‐analysis of quantitative trait locus (QTL) for seed yield components and phenology (MQTL‐YC) was performed for 394 QTL reported in 21 independent studies under sufficient water and drought conditions. In total, 58 MQTL‐YC over different genetic backgrounds and environments were identified, reducing threefold on average the confidence interval (CI) compared with the CI for the initial QTL. Furthermore, 40 MQTL‐YC identified were co‐located with 210 SNP peak positions reported via genome‐wide association (GWAS), guiding the identification of candidate genes. Comparative genomics among these MQTL‐YC with MQTL‐YC reported in soybean and pea allowed the identification of 14 orthologous MQTL‐YC shared across species. The integration of MQTL‐YC, GWAS, and comparative genomics used in this study is useful to uncover and refine the most consistent genomic regions related with seed yield components for their use in plant breeding.