The Discovery Of The Repeated QTL Regions For Protein Content And Oil Content Of Soybean Seed

Soybean is a kind of important crops which supply plenty of fat and protein for our daily life. It is useful for us to find QTL or gene for high quality soybean and to use markers to do good for marker-assisted selection.Recently investigators launched their research through investigations of important traits in distinct years and locations, Thus generalizing and summarizing the QTL results already published to find locus whose conformity is an evident phenomon can show great value in understanding the molecular merchanism of traits and increasing the effects of molecular marker-assited analysis. The main purpose of this research is to combine the data of soybase and the previous papers about the QTL loci or soybean important agronomic traits with three ways (physical integration meta-analysis,overview analysis) and to find the QTL (in the interval of 20cMs) related with important traits (protein contents,oil contents and weights of 100 soybean seeds).Further more, the research can supply consultation for marker-assisted breeding. The main results are:1. Identify 7 most stable soybean protein content QTLs and find genes for soybean protein content.7 most stable soybean protein content QTLs are in linkage I, E, B1, C1, C2, K, H. Their related markers are Sat₂19-Satt496,Satt268-Satt045,A118 1-A520 1,Satt338-Satt682,Satt281-Satt520,Satt349-Satt240,Satt192-BLT046₁, which could be used in marker-assisted selection in soybean breeding create new markers to help breeding. The linkage F contained one marker-Sattl27, whose related QTL effect explained by it is the highest, further more,it appeared near/in the smallest confidence interval supplied by biomercator and also are qualified by overview method. Select the smallest confidence interval (Sat₂19-Satt496) related with protein contents whose repeated times are high to some extent.Use 25 materials to find the gene sequences and combine this data with protein phenotype traits, finally predict one gene-Glyma20g17550.1.2. Identify 5 most stable soybean oil content QTLs and find genes for soybean oil content.The QTLs of soybean oil are intergrated in linkage C2,A2,I,A1,L. Their related markers are are Satt277-Satt557,L199₁-SAC7₂,A407₁-A515₁,Satt62 5,Satt388-Satt462, the left and right marker of the most stable oil QTL are in C2 linkage group. The position of this QTL detected by overview method is only 2.3cM apart from the position of the interval by meta-analysis. So the conclusion is that markers Satt277 and Satt557 can be used for marker-assisted identifications. The following are the QTLs related with the composition of oil:Satt555-Sct₁96 related with linolenic acid, OP_M12b-A636₁, AW620774-A741₁ related with linoleic acid and L026₁-Satt615, Satt163-Satt038, Satt235-Satt130, K493₁-T005₂ related with oleic acid. Select the smallest confidence interval (Satt426-Satt511) related with oil contents whose repeated times are high to some extent (more than 5) and analyze the sequence. Through this procedure, the predicted gene Glyma11g08230.1 (B1 linkage) jumped into our sight. This can provide consultation for gene cloning. Use 25 materials to find the gene sequences and combine this data with oil phenotype traits, finally predict another two genes-Glyma11g08110.2 and Glyma11g08210.1.3.Through the combination of statistic method and software, we found many maker and intervals about many traits and repeated for many times. T155₁,SOYGPATR,Satt442-Sat₄01 are related with both protein contents and oil contents.Through the physical integration of QTL related to soybean yield, we found QTL near Satt277-Satt557 were related to both oil content and yield. These markers may be the main reason of "pleiotropism" and can be available to the following breeding work of breeders.