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Association Analysis Of Seed Glucosinolate Content In Brassica Napus

Posted on:2011-05-08Degree:MasterType:Thesis
Country:ChinaCandidate:W YangFull Text:PDF
GTID:2283330302955564Subject:Biochemistry and Molecular Biology
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Association analysis is a new method to research and identify the quantitative trait locus(QTL), it has been got rapid progress in recent years. Association analysis based on linkage disequilibrium(LD), both association analysis and traditional linkage mapping methods can validate and complement each other. In this study,192 materials were collected from a wide range, which to form a natural for the association analysis population, we completed the measure of the glucosinolate content of seed and made a association analysis simultaneously. The experimental results obtained are as follows:1 To cluster analysis and population structure as the way an analysis of the genetic diversity in natural populations and found that the population can be divided into three small subgroups. Analysis of the results of two methods is consistent. Also we analyzed the diversity of the various subgroups and the diversity of differences between subgroups.2 Use 282 SSR markers per locus to analysis the LD level of the Brassica napus genome, concluded that the genome LD level is very low (average R2 value of 0.011), suitable for whole genome association analysis.3 Make an association analysis between the phenotype of Brassica napus seed glucosinolate content and makers, a total use of 1047 markers (including 282 SSR markers and 765 AFLP markers), detected 135 markers and traits were significantly associated (p≤0.05).37 makers can be detected associated with three groups phenotypic data, in all 4 groups phenotypic data (2007 phenotypic type value and in 2008 repeated three phenotypic values) showed significant association of the markers in total are 21, including 13 SSR markers and 8 AFLP markers. The associated markers distributed in various Brassica napus chromosomes.4 The two candidate regions on the A9 and C9 we deal with high-density LD analysis and association analysis. It showed that despite A9 was detected several highly associated markers, but no LD block appearance. The calculation between associated markers almost no LD. But in C9, we found LD on chromosome C9 significantly higher, while there is correlation between markers LD, indicated their physical linkage exists between, it can be carried forward.
Keywords/Search Tags:Brassica napus, seed glucosinolate content, association analysis, LD, genome
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