Dissecting the genetic basis of fiber quality and yield traits in interspecific backcross populations of Gossypium hirsutum x Gossypium barbadense

文献类型： 外文期刊

第一作者： Shi, Yuzhen

作者： Shi, Yuzhen;Liu, Aiying;Li, Junwen;Zhang, Baocai;Ge, Qun;Jamshed, Muhammad;Lu, Quanwei;Li, Shaoqi;Xiang, Xianghui;Gong, Juwu;Gong, Wankui;Shang, Haihong;Deng, Xiaoying;Pan, Jingtao;Yuan, Youlu;Zhang, Jinfa

作者机构：

关键词： Quantitative trait locus (QTL); Fiber quality; Yield; Interspecific backcross populations; QTL cluster

期刊名称：MOLECULAR GENETICS AND GENOMICS （ 影响因子：3.291； 五年影响因子：3.257 ）

ISSN： 1617-4615

年卷期： 2019 年 294 卷 6 期

页码：

收录情况： SCI

摘要： Fiber quality and yield are important traits of cotton. Quantitative trait locus (QTL) mapping is a prerequisite for marker-assisted selection (MAS) in cotton breeding. To identify QTLs for fiber quality and yield traits, 4 backcross-generation populations (BC1F1, BC1S1, BC2F1, and BC3F0) were developed from an interspecific cross between CCRI36 (Gossypium hirsutum L.) and Hai1 (G. barbadense L.). A total of 153 QTLs for fiber quality and yield traits were identified based on data from the BC1F1, BC1S1, BC2F1 and BC3F0 populations in the field and from the BC2F1 population in an artificial disease nursery using a high-density genetic linkage map with 2292 marker loci covering 5115.16 centimorgans (cM) from the BC1F1 population. These QTLs were located on 24 chromosomes, and each could explain 4.98-19.80% of the observed phenotypic variations. Among the 153 QTLs, 30 were consistent with those identified previously. Specifically, 23 QTLs were stably detected in 2 or 3 environments or generations, 6 of which were consistent with those identified previously and the other 17 of which were stable and novel. Ten QTL clusters for different traits were found and 9 of them were novel, which explained the significant correlations among some phenotypic traits in the populations. The results including these stable or consensus QTLs provide valuable information for marker-assisted selection (MAS) in cotton breeding and will help better understand the genetic basis of fiber quality and yield traits, which can then be used in QTL cloning.

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