Using three overlapped RILs to dissect genetically clustered QTL for fiber strength on Chro.D8 in Upland cotton
文献类型： 外文期刊
作者： Chen, Hong 1 ; Qian, Neng 1 ; Guo, Wangzhen 1 ; Song, Qingping 2 ; Li, Baocheng 2 ; Deng, Fujun 2 ; Dong, Cunguang 2 ; Zh 1 ;
作者机构： 1.Nanjing Agr Univ, Natl Key Lab Crop Genet & Germplasm Enhancement, Nanjing 210095, Jiangsu Prov, Peoples R China
2.Xinjiang Acad Agr & Reclamat Sci, Cotton Res Inst, Xinjiang 832000, Peoples R China
关键词： phenotype;quantitative trait loci;marker-assisted selection;recombinant inbred line;simple sequence repeat;fiber strength
期刊名称：THEORETICAL AND APPLIED GENETICS （ 影响因子：5.699； 五年影响因子：5.565 ）
ISSN：
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收录情况： SCI
摘要： Fiber strength is an important trait among cotton fiber qualities due to ongoing changes in spinning technology. Major quantitative trait loci (QTL) for fiber quality enable molecular marker-assisted selection (MAS) to effectively improve fiber quality of cotton cultivars. We previously identified a major QTL for fiber strength derived from 7235 in Upland cotton. In the present study, in order to fine-map fiber strength QTL, we chose three recombinant inbred lines (RIL), 7TR-133, 7TR-132, and 7TR-214, developed from a cross between 7235 and TM-1 for backcrossing to TM-1 to develop three large mapping populations. Phenotypic data for fiber strength traits were collected in Nanjing (JES/NAU) and Xinjiang (BES/XJ) in 2006 and 2007. Three simple sequence repeat (SSR) genetic linkage maps on Chro.24(D8) were constructed using these three backcrossed populations. The SSR genetic maps were constructed using 907 individuals in (7TR-133 x TM-1)F-2 (Pop A), 670 in (7TR-132 x TM-1)F-2 (Pop B), and 940 in (7TR-214 x TM-1)F-2 (Pop C). The average distance between SSR loci was 0.62, 1.7, and 0.56 cM for the three maps. MapQTL 5 software detected five-clustered QTL (2.5 < LOD < 29.8) on Chro.D8 for fiber strength following analysis of three RIL backcrossed F-2/F-2:3 progenies at JES/NAU and BES/XJ over 2 years. Five QTL for fiber strength exhibited a total phenotypic variance (PV) of 28.8-59.6%.
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