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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.