Detection of QTL controlling fiber-related traits in a recombinant inbred lines population from G. hirsutum race punctatum using RTM-GWAS procedure

Detection of QTL controlling fiber-related traits in a recombinant inbred lines population from G. hirsutum race punctatum using RTM-GWAS procedure
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使用RTM-GWAS程序检测控制陆地棉小种点状重组自交系群体中纤维相关性状的QTL

DOI:
10.1016/j.indcrop.2022.116198
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发表时间:
2022-12-28
影响因子:
5.9
通讯作者:
Zhang,Zhengsheng
Zhang,Zhengsheng
中科院分区:
农林科学1区
文献类型:
--
作者:
Liu,Xueying;Ma,Junrui;Zhang,Zhengsheng

文献摘要

相似文献

棉花纤维产量和品质性状的数量性状基因座(QTL)检测将有助于棉花育种和了解这些经济性状的遗传结构。本研究在陆地棉与总状花序杂交构建的重组自交系(RIL)群体中检测了与纤维相关的QTL。用特异性位点扩增片段测序(SLAF-Seq)对群体进行基因分型,并产生13,130个SNP连锁不平衡块(SNPLDB)标记。采用限制性两阶段多位点全基因组关联分析(RTM-GWAS)方法,对2个纤维产量和5个纤维品质性状共检测到376个QTL,这些QTL具有主效应和/或QTL与环境互作效应。进一步对9个大贡献QTL的候选基因进行了鉴定和分析。此外,还鉴定了12个纤维品质和产量优良的品系,并预测了每个性状的10个潜在的最佳组合。这些结果有助于更好地理解纤维相关性状的遗传基础,并有助于培育具有上级纤维品质的高产棉花品种。
Detection of quantitative trait loci (QTL) for fiber yield and quality traits would be beneficial to cotton breeding and to understanding the genetic architecture of these economic traits. Here, fiber-related QTL were detected in a recombinant inbred lines (RIL) population developed from a cross betweenGossypium hirsutumcultivar and racepunctatum. The population was genotyped with specific-locus amplified fragment sequencing (SLAF-Seq), and 13,130 SNP linkage disequilibrium block (SNPLDB) markers were generated. For 2 fiber yield and 5 fiber quality traits, a total of 376 QTL with main-effect and/or QTL-environment interaction (QEI) effect were identified using a relatively innovative procedure restricted two-stage multi-locus genome wide association study (RTM-GWAS). The candidate genes for nine large-contribution QTL were further identified and analyzed. Additionally, 12 lines with elite fiber quality and yield were identified, and 10 potential optimal crosses for each trait were predicted. The findings contributed to a better understanding of the genetic basis of fiber-related traits and helped to breed high-yielding cotton cultivars with superior fiber quality.