Construction of a High-Density Genetic Map and Its Application to QTL Identification for Fiber Strength in Upland Cotton

被引:36
|
作者
Zhang, Zhen [1 ,2 ,3 ]
Ge, Qun [1 ,2 ,3 ]
Liu, Aiying [1 ,2 ,3 ]
Li, Junwen [1 ,2 ,3 ]
Gong, Juwu [1 ,2 ,3 ]
Shang, Haihong [1 ,2 ,3 ]
Shi, Yuzhen [1 ,2 ,3 ]
Chen, Tingting [1 ,2 ,3 ]
Wang, Yanling [1 ,2 ,3 ]
Palanga, Koffi Kibalou [1 ,2 ,3 ]
Muhammad, Jamshed [1 ,2 ,3 ]
Lu, Quanwei [4 ]
Deng, Xiaoying [1 ,2 ,3 ]
Tan, Yunna [1 ,2 ,3 ]
Liu, Ruixian [1 ,2 ,3 ]
Zou, Xianyan [1 ,2 ,3 ]
Rashid, Harun [1 ,2 ,3 ]
Iqbal, Muhammad Sajid [1 ,2 ,3 ]
Gong, Wankui [1 ,2 ,3 ]
Yuan, Youlu [1 ,2 ,3 ]
机构
[1] Chinese Acad Agr Sci, State Key Lab Cotton Biol, Anyang 455000, Henan, Peoples R China
[2] Chinese Acad Agr Sci, Key Lab Biol & Genet Breeding Cotton, Minist Agr, Anyang 455000, Henan, Peoples R China
[3] Chinese Acad Agr Sci, Inst Cotton Res, Anyang 455000, Henan, Peoples R China
[4] Anyang Inst Technol, Anyang 455000, Henan, Peoples R China
基金
国家高技术研究发展计划(863计划);
关键词
QUANTITATIVE TRAIT LOCI; QUALITY TRAITS; MAJOR QTL; YIELD; POPULATIONS; RESISTANCE; TOLERANCE; SEQUENCE; LINES; L;
D O I
10.2135/cropsci2016.06.0544
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
Cotton (Gossypium sp.) is an important worldwide cash crop that provides a competitive renewable natural fiber supply for the demands of textile industry. The development of new textile technologies and the improvement of living standards increase the demands for both fiber quantity and fiber quality. '0-153' is an upland cotton cultivar with excellent fiber quality derived from Asiatic cotton sources, especially with regards to fiber strength. To identify quantitative trait loci (QTLs) for fiber strength in this line, a recombinant inbred line population consisting of 196 lines was developed from a cross between it and 'sGK9708'. A genetic linkage map consisting of 2393 loci was constructed using this recombinant inbred line population, with single nucleotide polymorphism (SNP) markers from the IntlCottonSNPConsortium_70k chip. Quantitative trait loci for fiber strength were detected across 11 environments using both single-environment and combined multiple-environment models. A total of 63 QTLs controlling fiber strength were detected by the single-environment model. Sixteen QTLs were identified by the combined multiple-environment model. These QTLs could make a contribution to the improvement of fiber quality via marker-assisted selection and provide useful information for QTL fine mapping and functional gene research activities as well.
引用
收藏
页码:774 / 788
页数:15
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