Mapping quantitative trait loci controlling soybean seed starch content in an interspecific cross of ÔWilliams 82Õ (Glycine max) and ÔPI 366121Õ (Glycine soja)

Reference Report for JRS20180601.1

Title:	Mapping quantitative trait loci controlling soybean seed starch content in an interspecific cross of ÔWilliams 82Õ (Glycine max) and ÔPI 366121Õ (Glycine soja)
Authors:	Dhungana, S., Kulkarni, K., ParkÊ, C., Jo, H., Song, J., Shin, D., Lee, J.
Source:	Plant Breeding 2018, 136:379-385
Abstract:	Seed starch content (SSC) greatly affects the taste, flavour and processing properties of soy foods. The objective in this study was to identify quantitative trait loci (QTL) for SSC in soybean. A total in 169 recombinant inbred lines (RILs) derived from a cross in ÔWilliams 82Õ and ÔPI 366121Õ were grown for three consecutive years. The SSC of the RILs displayed continuous variation with transgressive segregation and hence amenable for QTL mapping. Nine significant QTL exhibiting 5.6Ð11.3% of the total phenotypic variation (PVE) were identified. The QTL qSTR06_2 showed highest PVE (9.1Ð11.3%) at LOD values of 4.25Ð5.39. No stable QTL over 3 years were identified, indicating strong environmental influence on SSC. The QTL qSTR11_1 and qSTR20_1 were found to colocalize with some of the previously reported QTL for sucrose content in soybean, implying the interrelationship between starch and sucrose biosynthesis. As the carbohydrate components may affect key constituents such as oil and protein in soybean seed, findings of the study may be useful in breeding soybeans with improved seed composition.

Funded by the USDA-ARS. Developed by the USDA-ARS SoyBase and Legume Clade Database group at the Iowa State University, Ames, IA

U.S. Public Domain