Targeting And Mapping Of Protein And Oil Content Related Genes By SSR Markers In Soybean

This study employed the soybean Recombinant Inbred Lines (RIL) F7:10 which involved 133 lines from Wan 82-178 xTongshangbopi as experimental materials , all of them were planted in a natural environment of NSIC Jiang Pu farm and divided into two replicated plots in a random block design. Eight agronomic traits data were observed before and after the materials were harvested. Three soybean quality traits were measured by the Infratec 1255 type, their inheritances were analyzed using the Applied Segregation Strategy and their correlations with other agronomic traits were calculated by SPSS. The inheritance of soybean quality traits was estimated by a major gene plus polygene mixed model, the results indicated protein content and protein plus oil content are modified by polygenes, their inheritability values are 81.31% and 69.86% respectively, oil content is regulated by two major genes and polygene, and its inheritability value of main genes is 57.49%, and inheritability value of polygenes is 10.01%. The correlation between protein and protein plus oil is positive, but they were all negative between protein, protein plus oil and other traits. There is significantly positive correlation between oil and 100-grain weight, negative correlation between protein and the height of husk.Another objective of this study was to determine quantitative trait loci (QTLs) asssociated with the soybean quality traits by determining linkage to SSR markers. Using 133 Recombinant Inbred Lines (RIL) F7:10 lines derived from Wan 82-178 xTongshangbopi as experimental materials , The 133 F7:10 lines were planted in a random block design with two replication in summer 2003, and evaluated for three soybean quality traits and eight agronomic traits. 360 pairs of SSR markers are initially used to genotype in 133 lines and their parents Finally, 42 SSR markers were employed to generate a genetic map by Mapmaker/Exp3.0b,a SSR genetic linkage map of soybean was constructed on which 22 markers distribute among 7 linkages groups and spanning soybean genome about 455.3cM with average distance between markers being 21.68cM. Mapping of soybean quality traits and some agronomic traits which are related with soybean quality. The phenotype data of 3 quality and 8 agronomic traits were carefully observed, With running marker regression in Map manager QTX software, 18 QTLs were detected for 9 of 11 traits, which accounted for from 2.70% to 29.25% of the total phenotypic variation. There are sixmarkers which linked with soybean quality, and they are distributed on four groups, namely WT5(M), WT6(H), WT1(C2) and F. The distance between different marker and phenotype is 4.3cM-17.0cM, the range of single QTL effect was around 6.48%-29.25%.These SSR markers would be very helpful for improving soybean quality and also can be used to do MAS (Marker Assistant Selection) breeding.