Mapping quantitative trait loci controlling soybean seed starch content in an interspecific cross of ‘Williams 82’ (Glycine max) and ‘PI 366121’ (Glycine soja) |
| |
| Authors: | Sanjeev K Dhungana Krishnanand P Kulkarni Cheol W Park Hyun Jo Jong T Song Dong‐Hyun Shin Jeong‐Dong Lee |
| |
| Institution: | 1. School of Applied Biosciences, Kyungpook National University, Daegu, Korea;2. Division of Plant Sciences, University of Missouri‐Columbia, Columbia, MO, USA;3. Institute of Agricultural Science & Technology, Kyungpook National University, Daegu, Korea |
| |
| 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 ‘Williams 82’ and ‘PI 366121’ 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 5.6–11.3% of the total phenotypic variation (PVE) were identified. The QTL qSTR06_2 showed highest PVE (9.1–11.3%) at LOD values of 4.25–5.39. 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. |
| |
| Keywords: | soybean molecular mapping seed starch |
|
|
