QTL mapping and candidate gene prediction for fiber yield and quality traits in a high-generation cotton chromosome substitution line with Gossypium barbadense segments
文献类型: 外文期刊
第一作者: Lu, Quanwei
作者: Lu, Quanwei;Li, Pengtao;Li, Ziyin;Du, Shengli;Wang, Jundi;Yang, Rui;Xiao, Xianghui;Li, Ziyin;Wu, Qiuyu;Gong, Juwu;Ge, Qun;Liu, Aiying;Shi, Yuzhen;Yuan, Youlu;Li, Pengtao
作者机构:
关键词: Cotton; CSSLs; Fiber yield; Fiber quality; QTL mapping
期刊名称:MOLECULAR GENETICS AND GENOMICS ( 影响因子:2.98; 五年影响因子:3.207 )
ISSN: 1617-4615
年卷期: 2022 年 297 卷 2 期
页码:
收录情况: SCI
摘要: Gossypium provides the foremost natural fiber for supporting the rapid development of the textile industry. Quantitative trait locus (QTL) mapping of fiber yield and quality traits is, thus, of great significance for providing a foundation for the genetic improvement of key target traits in cotton production. In this study, a superior chromosome segment substitution line (CSSL), MBI8255, with high yield and premium fiber quality characteristics was cultivated from the BC5F3:5 lineage derived from G. barbadense Hai1 and G. hirsutum CCRI36, and was chosen to construct a segregation population containing 123 F-2 individuals with CCRI36. A total of 71 polymorphic SSR (simple sequence repeat) markers were identified based on a previous high-density linkage map, and 17 QTLs distributed on five chromosomes were detected, of which 10 QTLs for cotton yield explained 0.26-15.41% of phenotypic variations, while 7 QTLs for fiber quality explained 0.84-9.38% of phenotypic variations, separately containing four and one stable QTLs detected from over two environments. Among three identified QTL clusters, only the Chr19 QTL cluster harbored two stable and one unstable QTL for three different traits, and hence this significant region, which included 1546 genes, was subjected to functional enrichment and transcriptome expression analyses, ultimately screening eight candidate genes relevant to fiber development. This study not only provides useful information for the further fine-mapping and functional verification of candidate genes, but also offers a solid foundation for revealing the molecular mechanisms of fiber formation.
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