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利用黄褐棉染色体片段导入系定位产量和纤维品质性状QTL
引用本文:沈超,李定国,聂以春,林忠旭. 利用黄褐棉染色体片段导入系定位产量和纤维品质性状QTL[J]. 作物学报, 2017, 43(12): 1733-1745. DOI: 10.3724/SP.J.1006.2017.01733
作者姓名:沈超  李定国  聂以春  林忠旭
作者单位:1 华中农业大学植物科学技术学院作物遗传改良国家重点实验室, 湖北武汉 430070; 2长江大学农学院, 湖北荆州 434025
基金项目:本研究由国家转基因生物新品种培育重大专项(2016ZX08009001)资助。
摘    要:陆地棉的遗传基础狭窄,阻碍了棉花的遗传改良进程。为有效拓宽陆地棉的遗传基础,本试验利用野生种黄褐棉(AD4)为供体亲本,以综合性状优良的B0011品系为受体亲本(国审棉华杂棉H318的亲本之一),构建了含71个株系的导入系BC5S5群体。基于SLAF-seq的基因分型和多年多点田间试验的综合分析表明,该导入系在产量和纤维性状方面具有很大的变异,共检测到48个QTL,其中包含19个产量和29个纤维构成因素相关的QTL。在At亚组检测到9个性状的32个QTL,在Dt亚组为16个。进一步对QTL加性效应方向分析显示,其中有30个QTL的加性效应为正,18个QTL的加性效应为负。本研究结果为利用黄褐棉重要农艺性状有利等位基因改良陆地棉产量和品质奠定了基础。

关 键 词:陆地棉  黄褐棉  导入系  产量  纤维品质  QTL  加性效应
收稿时间:2017-04-17

QTL Mapping for Yield and Fiber Quality Traits Using Gossypium mustelinum Chromosome Segment Introgression Lines
SHEN Chao,LI Ding-Guo,NIE Yi-Chun,LIN Zhong-Xu. QTL Mapping for Yield and Fiber Quality Traits Using Gossypium mustelinum Chromosome Segment Introgression Lines[J]. Acta Agronomica Sinica, 2017, 43(12): 1733-1745. DOI: 10.3724/SP.J.1006.2017.01733
Authors:SHEN Chao  LI Ding-Guo  NIE Yi-Chun  LIN Zhong-Xu
Affiliation:1.National Key Laboratory of Crop Genetic Improvement, College of Plant Science and Technology, Huazhong Agricultural University, Wuhan 430070, China;2.College of Agronomy, Yangtze University, Jingzhou 434025, China
Abstract:The genetic basis of upland cotton is narrow, which hinders the progress of genetic improvement of cotton. To effectively broaden the genetic basis of upland cotton, we developed BC5S5 chromosome segment substitution lines (CSSLs) population consisting of 71 CSSLs, which was derived from the Gossypium mustelinum, the wild cotton (AD4) as the donor, and B0011, one parent of national authorized cotton variety Huazamian H318 with good comprehensive characters of upland cotton line (AD1) as the receptor. A comprehensive analysis was conducted via the SLAF-seq genotyping and phenotyping under multiple environments. This population showed a wide range of variation in yield components and fiber quality, and a total of 48 QTLs were detected including 19 for yield components and 29 for fiber quality. Among the QTLs for nine traits, 32 and 16 were on the At and Dt sub-genomes, respectively. Further analyzing revealed that 30 QTLs showed positive additive effects, and 18 QTLs showed negative additive effects. The results of this study lay a foundation for the genetic improvement of upland cotton using the elite alleles of important agronomic traits from G. mustelinum.
Keywords:Upland cotton  G. mustelinum  CSILs  Yield  Fiber quality  QTL  Additive Effect
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