Main content area

Identification of quantitative trait loci underlying seed protein content of soybean including main, epistatic, and QTL × environment effects in different regions of Northeast China

Teng, Weili, Li, Wen, Zhang, Qi, Wu, Depeng, Zhao, Xue, Li, Haiyan, Han, Yingpeng, Li, Wenbin
Genome 2017 v.60 no.8 pp. 649-655
Glycine max, additive effect, chromosome mapping, chromosomes, epistasis, genetic markers, inbred lines, microsatellite repeats, parents, phenotype, phenotypic variation, protein content, quantitative trait loci, seeds, soy protein, soybeans, China
The objective here was to identify QTL underlying soybean protein content (PC), and to evaluate the additive and epistatic effects of the QTLs. A mapping population, consisting of 129 recombinant inbred lines (RILs), was created by crossing ‘Dongnong 46’ and ‘L-100’. Phenotypic data of the parents and RILs were collected for 4 years in three locations of Heilongjiang Province of China. A total of 213 SSR markers were used to construct a genetic linkage map. Eight QTLs, located on seven chromosomes (Chr), were identified to be associated with PC among the 10 tested environments. Of the seven QTLs, five QTLs, qPR-2 (Satt710, on Chr9), qPR-3 (Sat_122, on Chr12), qPR-5 (Satt543, on Chr17), qPR-7 (Satt163, on Chr18), and qPR-8 (Satt614, on Chr20), were detected in six, seven, seven, six, and seven environments, respectively, implying relatively stable QTLs. qPR-3 could explain 3.33%–11.26% of the phenotypic variation across eight tested environments. qPR-5 and qPR-8 explained 3.64%–10.1% and 11.86%–18.40% of the phenotypic variation, respectively, across seven tested environments. Eight QTLs associated with PC exhibited additive and (or) additive × environment interaction effects. The results showed that environment-independent QTLs often had higher additive effects. Moreover, five epistatic pairwise QTLs were identified in the 10 environments.