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作 者:杨鑫雷[1] 周晓栋[1] 王省芬[1] 李志坤[1] 张艳[1] 刘恒蔚[1,2] 吴立强[1] 张桂寅[1] 马峙英[1]
机构地区:[1]华北作物种质资源教育部重点实验室/河北省作物种质资源重点实验室/河北农业大学,河北保定071001 [2]苏州科技学院化学生物与材料工程学院,江苏苏州215009
出 处:《棉花学报》2013年第6期503-509,共7页Cotton Science
基 金:国家863计划课题(2012AA101108-02);国家自然科学基金(31071467)
摘 要: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。Using bioinformatics methods and meta-analysis with BCt map as reference, 92 cotton fiber quality QTL collected from both BC1 and BC1F2 populations constructed previously were used to construct a QTL integrated map for QTL analysis in this study. The five hundred ninety-nine loci were mapped into 26 chromosomes with an average distance between adjacent markers of 5.96 cM and covered 3,571.9 cM. Sixty-three QTL of fiber qualities related were integrated into the new reference map. The fifteen meta-QTL were mapped on 12 chromosomes by the meta-analysis method and also QTL clusters have been discovered on chromosome 9, 16 and 24. The major meta-QTL of Meta-QTL9-1 derived from five QTL on chromosome 9, could explain 17.16% of phenotypic variance. The meta-QTL16-1 derived from ten QTL on chromosome 16, could explain 12.28% of phenotypic variance. And three meta-QTL derived from nine QTLs on chromosome 24, could explain 16.12%, 16.69% and 18.27% ofphenotypic variance, respectively. On average, one meta-QTL derived from two QTLs on the other chro- mosomes. The results indicated that these meta-QTL could be used in improving fine QTL mapping and molecular-assisted se- lection of cotton fiber qualities in breeding.
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