Genome-wide quantitative trait loci reveal the genetic basis of cotton fibre quality and yield-related traits in a Gossypium hirsutum recombinant inbred line population
文献类型: 外文期刊
第一作者: Zhang, Zhen
作者: Zhang, Zhen;Junwen Li;Muhammad Jamshed;Yuzhen Shi;Aiying Liu;Juwu Gong;Shufang Wang;Jianhong Zhang;Fuding Sun;Fei Jia;Qun Ge;Liqiang Fan;Zhibin Zhang;Jingtao Pan;Senmiao Fan;Yanling Wang;Quanwei Lu;Ruixian Liu;Xiaoying Deng;Xianyan Zou;Xiao Jiang;Ping Liu;Pengtao Li;Muhammad Sajid Iqbal;Chuanyun Zhang;Juan Zou;Hong Chen;Qin Tian;Xinhe Jia;Baoqin Wang;Nijiang Ai;Guoli Feng;Yumei Wang;Mei Hong;Shilin Li;Wenming Lian;Bo Wu;Jinping Hua;Chaojun Zhang;Jinyong Huang;Aixia Xu;Haihong Shang;Wankui Gong;Youlu Yuan
作者机构:
关键词: upland cotton; consensus genetic map; fibre quality; fibre yield; QTL clusters; genetic correlation; gene expression level
期刊名称:PLANT BIOTECHNOLOGY JOURNAL ( 影响因子:9.803; 五年影响因子:9.555 )
ISSN: 1467-7644
年卷期:
页码:
收录情况: SCI
摘要: Cotton is widely cultivated globally because it provides natural fibre for the textile industry and human use. To identify quantitative trait loci (QTLs)/genes associated with fibre quality and yield, a recombinant inbred line (RIL) population was developed in upland cotton. A consensus map covering the whole genome was constructed with three types of markers (8295 markers, 5197.17 centimorgans (cM)). Six fibre yield and quality traits were evaluated in 17 environments, and 983 QTLs were identified, 198 of which were stable and mainly distributed on chromosomes 4, 6, 7, 13, 21 and 25. Thirty-seven QTL clusters were identified, in which 92.8% of paired traits with significant medium or high positive correlations had the same QTL additive effect directions, and all of the paired traits with significant medium or high negative correlations had opposite additive effect directions. In total, 1297 genes were discovered in the QTL clusters, 414 of which were expressed in two RNA-Seq data sets. Many genes were discovered, 23 of which were promising candidates. Six important QTL clusters that included both fibre quality and yield traits were identified with opposite additive effect directions, and those on chromosome 13 (qClu-chr13-2) could increase fibre quality but reduce yield; this result was validated in a natural population using three markers. These data could provide information about the genetic basis of cotton fibre quality and yield and help cotton breeders to improve fibre quality and yield simultaneously.
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