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通过整合本试验室由陆地棉中棉所8号和海岛棉Pima90-53组配的BC1和BC1F2两个群体的92个纤维品质性状相关的QTLs,构建了1张包含BC1和BC1F2群体63个纤维品质相关性状QTL的整合图谱。整合图谱包含599个标记位点,覆盖全基因组3571.9 cM,标记间平均距离为5.96 cM,包含26条染色体。采用元分析Bio-Mercator 2.1软件的Meta-analysis功能,在12条染色体上共获得15个与纤维品质性状相关的一致性QTLs,其中染色体9、16和24上呈现QTL成簇聚集现象。染色体9上整合来源于2个群体的5个QTLs,获得1个Meta-QTL9-1,所解释的表型变异为17.16%;染色体16上整合来源于两个群体的10个QTLs,获得1个Meta-QTL16-1,所解释的表型变异为12.28%;染色体24上整合来源于2个群体的9个QTLs,获得3个Meta-QTL,分别解释的表型变异为16.12%、16.69%和18.27%;其他染色体均整合来源于2个QTLs,分别获得1个Meta-QTL。研究结果表明,这些一致性QTL在很大程度上可以推动QTL精细定位和分子标记辅助选择在育种实践中的应用。
By integrating 92 QTLs related to fiber quality traits of two BC1 and BC1F2 populations assembled by G. hirsutum No. 8 and Pima90-53 in the laboratory, we constructed a population of 63 fibers containing BC1 and BC1F2 populations Integration map of QTLs for quality-related traits. The integrated map contains 599 loci, covering 3571.9 cM of the whole genome. The average distance between markers is 5.96 cM and contains 26 chromosomes. A total of 15 QTLs related to fiber quality traits were obtained on 12 chromosomes using Meta-analysis of Bio-Mercator 2.1 software, in which chromosome QTLs clustered on chromosomes 9, 16 and 24. Five QTLs derived from two populations were integrated on chromosome 9 to obtain one Meta-QTL9-1, which explained 17.16% of the phenotypic variation; 10 QTLs from two populations were integrated on chromosome 16 to obtain one Meta-QTL16-1, explained a phenotypic variation of 12.28%. On chromosome 24, 9 QTLs derived from 2 populations were integrated and 3 Meta-QTLs were obtained, accounting for 16.12% and 16.69% of phenotypic variation 18.27% respectively. All the other chromosomes were integrated from two QTLs to obtain one Meta-QTL. The results show that these QTLs can promote the application of QTL fine mapping and molecular marker-assisted selection in breeding practice to a great extent.