High-density genetic map construction and QTL mapping for fiber strength on Chr24 across multiple environments in a CCRI70 recombinant inbred lines population

文献类型： 外文期刊

第一作者： Zou, Xianyan

作者： Zou, Xianyan;Gong, Juwu;Duan, Li;Jiang, Xiao;Zhen, Zhang;Fan, Senmiao;Ge, Qun;Liu, Aiying;Gong, Wankui;Li, Junwen;Shi, Yuzhen;Wang, Yanling;Fan, Liqiang;Liu, Ruixian;Lei, Kang;Zhang, Qi;Shang, Haihong;Yuan, Youlu

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关键词： Upland cotton; Fiber strength; Genetic map; QTL mapping

期刊名称：EUPHYTICA （ 影响因子：1.895； 五年影响因子：2.181 ）

ISSN： 0014-2336

年卷期： 2018 年 214 卷 6 期

页码：

收录情况： SCI

摘要： Upland cotton is an important economic crop that produces high-quality fiber for the textile industry. With the development of next-generation sequencing technology and improvements in human living standards, it has become possible to improve the fiber quality and yield of cotton with high-throughput molecular markers. Upland cotton 901-001 is an excellent, high-quality, non-transgenic cultivar, while the sGK156 strain shows high resistance to verticillium wilt. The phenotype of F-1 plants, certified in 2008 as national variety CCRI70, shows positive transgressive characteristics such as high quality, high yield, and resistance to verticillium wilt. We developed a population of 250 recombination inbred lines from a cross between 901-001 and sGK156. The fiber strength trait of plants from nine environments was collected, and a genetic linkage map of Chr24 comprising 168 SNP marker loci covering a genetic distance of 107.46 cM and with an average distance of 0.64 cM was generated. QTLs were identified across the nine environments using the composite interval mapping method. A total of eight QTLs for FS were identified on Chr24, three of which were stably expressed in at least five environments. Some candidate genes located in qFS-c24-2 and qFS-c24-4 were functionally annotated as potentially playing important roles in fiber development, with homologous genes reported in Arabidopsis thaliana. These results suggest that QTLs identified in the present study could contribute to improving FS and may be applicable for marker-assisted selection.

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