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Genetic Analysis and QTL Detection on Fiber Traits Using Two Recombinant Inbred Lines and Their Backcross Populations in Upland Cotton

文献类型： 外文期刊

作者： Shang, Lianguang 1 ; Wang, Yumei 1 ; Wang, Xiaocui 1 ; Liu, Fang 1 ; Abduweli, Abdugheni 1 ; Cai, Shihu 1 ; Li, Yuhua 1 ; Ma, Lingling 1 ; Wang, Kunbo 1 ; Hua, Jinping 1 ;

作者机构： 1.Department of Plant Genetics and Breeding/Key Laboratory of Crop Heterosis and Utilization of Ministry of Education/ Beijing Key Laboratory of Crop Genetic Improvement, China Agricultural University, Beijing 100193, China

2.Institute of Cash Crops, Hubei Academy of Agricultural Sciences, Wuhan 430064, China

3.Institute of Cotton Research, Chinese Academy of Agricultural Sciences/State Key Laboratory of Cotton Biology, Anyang 455000, Henan, China

关键词： fiber quality;QTL;recombinant inbred line;backcross population;Upland cotton

期刊名称：G3-GENES GENOMES GENETICS （ 影响因子：3.154； 五年影响因子：3.369 ）

ISSN： 2160-1836

年卷期： 2016 年 6 卷 9 期

页码：

收录情况： SCI

摘要： Cotton fiber, a raw natural fiber material, is widely used in the textile industry. Understanding the genetic mechanism of fiber traits is helpful for fiber quality improvement. In the present study, the genetic basis of fiber quality traits was explored using two recombinant inbred lines (RILs) and corresponding backcross (BC) populations under multiple environments in Upland cotton based on marker analysis. In backcross populations, no significant correlation was observed between marker heterozygosity and fiber quality performance and it suggested that heterozygosity was not always necessarily advantageous for the high fiber quality. In two hybrids, 111 quantitative trait loci (QTL) for fiber quality were detected using composite interval mapping, in which 62 new stable QTL were simultaneously identified in more than one environment or population. QTL detected at the single-locus level mainly showed additive effect. In addition, a total of 286 digenic interactions (E-QTL) and their environmental interactions [QTL x environment interactions (QEs)] were detected for fiber quality traits by inclusive composite interval mapping. QE effects should be considered in molecular marker-assisted selection breeding. On average, the E-QTL explained a larger proportion of the phenotypic variation than the main-effect QTL did. It is concluded that the additive effect of single-locus and epistasis with few detectable main effects play an important role in controlling fiber quality traits in Upland cotton.

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