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Fine Mapping Of A Q Swt131 Of Superdominance Trait For 100-seed Weight Using Residual Heterozygous Line Of Glycine Max × G.Soja Progeny

Posted on:2016-02-14Degree:MasterType:Thesis
Country:ChinaCandidate:Y Y DengFull Text:PDF
GTID:2283330464966935Subject:Crop Genetics and Breeding
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Soybean is an important economical crop in the word. Increasing yield is the significant way for solving the requirement of soybean consumption. Seed-weight is the necessary element of yield, which is controlled by polygenes genetically. At present, most of the studies on grain weight confined to the early QTL localization. In this study, we used the F6:7 residual heterozygous line(RHL) of derive from the cross of cutivar JD12(Glycine max) and ZYD2738(Wild soybean, Glycine soja) for fine mapping qSWT131 locus, and also analyzed the stability in more environment, detected the relevance of the protein and oil with the locus. The main results were presented as follow:This reseach analyzed the relation of genotype with phenotype of exchanging line of 302 RHL lines to concluded qSWT131 be located in Barcsoyssr13908-Barcsoyssr13922, physical distance is 322 Kb, after analyzing seed-weight of the two groups to finded the seed-weight of heterozygous genotype(H) lines significantly than the seed-weight of homozygous genotype(AA/BB) lines increase 45%. One-Way analysis of variance of SPSS analyzed 10 SSR makers genotype with phenotype of RHL lines, the contribution rat of the maker Barcsoyssr13918 and Barcsoyssr13922 are 87.55% and 87.93% respectively. qSWT131 was located between Barcsoyssr13918 and Barcsoyssr13922, F value is 1051.08, genetic distance is 0.17, dominent effect is 5.23**, contribution rat(R2) is 87.30%, based on Joinmaping 4.0 constructing genetic linkage map and QTLNet workv2.1 maping. On the basis of the above results, qSWT131 was maping between Barcsoyssr13918 and Barcsoyssr13922 in 13 chromosome, physical distance is 322 Kb.3 lines of F7:8(2013 year) and F8:9(2014 year) groups from qSWT131 RHL were planted in Huang-huai soybean summer sowing ecological region(HeBei province, ShiJiaZhuang), North-west soybean summer sowing ecological region(GanSu province, Lan Zhou) and Yangtze valley soybean spring-summer sowing ecological region(ZheJiang province, HangZhou), respectively. QTL was located using MCIM of QTLNetworkv2.1 in 6 environments, with having significant dominant effect, and the R2 rang of QTLs is 55.19%-91.47%, thus, the conclution was that qSWT131 is stability dominant locus for seed-weight in different environment. 100-seed-weight in three environments analyzed by using analysis of Shukla variance, the stability QTL was located in F7:8 RHL after square root transformation of Shukla variance, 9.8 for F value, 16.71% for heritability.QTLs of soybean seed-protein was located in E1、E2、E3、E4 and E6, with no-significant additive effect and significant dominant effect(2.32、1.66、3.26、3.41 and 2.73, respectively), the R2 rang of QTL was 24.23%-39.28%. QTLs of soybean seed-oil was located in E1、E2、E5 and E6. QTLs of E1、E2 and E5 have nosignificant dominant effect and significant additive effect(-0.26、0.23 and 0.18, respectively), R2 of QTL is 8.26%、10.99% and 8.87%, dominant effect of QTLs in E6 is-0.20**,R2 of that is 20.48%. Thus, qSWT131 has pleiotropy for soybean protein and oil, effect of which on protein is same as 100-seed-weight.
Keywords/Search Tags:fine mapping, environmental stability, pleiotropism, additive effect, dominant effect
PDF Full Text Request
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