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- W2387019192 abstract "【Objective】 The major objective was to infer the genome ancestry and the estimation of molecular relation in natural population,and then to detect the loci controlling the interested traits by means of association analysis,so as to lay a theoretic foundation for the effective improvment of fiber quality and the heightenning of breeding efficiency.【Method】 One hundred and thirty-two SSR loci,evenly distributed in 26 chromosomes,were assayed for polymorphism among 92 cultivated cotton accessions which represent the high genetic diversity.The identified 494 alleles served as raw data for estimating population structure based on the ADMIXTURE model in the software STRUCTURE 2.3.1.The UPGMA dendrogram was calculated using the software of NTSYS-pc(Version 1.8).Then,the association analysis between SSR loci and 5 fiber quality traits(2 years×3 replicate) was performed by using TASSEL GLM(general linear model) program.【Result】 Specifying seven subpopulations(K=7) led to a maximum likelihood value.Therefore,this natural population was inferred to be composed of 7 subpopulations,which were Gossypium arboreum(Cluster 5),G.barbadense(Cluster 7),G.hirsutum(Cluster 2,Cluster 4 and Cluster 6),and mixture(Cluster 1 and Cluster 3).The Kullback-Leibler distance of pairwise subpopulation was also inferred as the UPGMA dendrogram,which gave a detailed percentage of genetic composition of seven subpopulations and molecular relatedness of each accession.And twenty one SSR loci associated with the traits were screened out from this cultivated population.There were a few loci associated with two or more traits simultaneously,which might be the genetic reason of correlation among traits or pleiotropic phenomena.【Conclusion】 The population structure of this natural population and the molecular relatedness of each accession were inferred;twenty one SSR loci associated with the traits were detected.These results would provide some referenced information for the utilization of these accessions,for marker assisted selection(MAS),and for the upcoming association studies of some candidate genes." @default.
- W2387019192 created "2016-06-24" @default.
- W2387019192 creator A5062370461 @default.
- W2387019192 date "2011-01-01" @default.
- W2387019192 modified "2023-09-26" @default.
- W2387019192 title "Population structure inferring and association analysis of fiber quality in cultivated cotton" @default.
- W2387019192 hasPublicationYear "2011" @default.
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