Analyzing Quantitative Trait Loci for Fiber Quality and Yield-Related Traits From a Recombinant Inbred Line Population With Gossypium hirsutum Race palmeri as One Parent.
Analyzing Quantitative Trait Loci for Fiber Quality and Yield-Related Traits From a Recombinant Inbred Line Population With Gossypium hirsutum Race palmeri as One Parent.
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分析以陆地棉小种棕榈为单亲的重组自交系群体的纤维质量和产量相关性状的数量性状位点
DOI:
10.3389/fpls.2021.817748
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发表时间:
2021
影响因子:
5.6
通讯作者:
Zhang Z
中科院分区:
文献类型:
--
作者:
Liu X;Yang L;Wang J;Wang Y;Guo Z;Li Q;Yang J;Wu Y;Chen L;Teng Z;Liu D;Liu D;Guo K;Zhang Z
Fiber quality and yield-related traits are important agronomic traits in cotton breeding. To detect the genetic basis of fiber quality and yield related traits, a recombinant inbred line (RIL) population consisting of 182 lines was established from a cross between Gossypium hirsutum cultivar CCRI35 and G. hirsutum race palmeri accession TX-832. The RIL population was deeply genotyped using SLAF-seq and was phenotyped in six environments. A high-density genetic linkage map with 15,765 SNP markers and 153 SSR markers was constructed, with an average distance of 0.30 cM between adjacent markers. A total of 210 fiber quality quantitative trait loci (QTLs) and 73 yield-related QTLs were identified. Of the detected QTLs, 62 fiber quality QTLs and 10 yield-related QTLs were stable across multiple environments. Twelve and twenty QTL clusters were detected on the At and Dt subgenome, respectively. Twenty-three major QTL clusters were further validated through associated analysis and five candidate genes of four stable fiber quality QTLs were identified. This study revealed elite loci influencing fiber quality and yield and significant phenotypic selection regions during G. hirsutum domestication, and set a stage for future utilization of molecular marker assisted breeding in cotton breeding programs.
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影响因子:
3.7
作者:
Feng H;Guo L;Wang G;Sun J;Pan Z;He S;Zhu H;Sun J;Du X
通讯作者:
Du X
影响因子:
3.7
作者:
Dai N;Wang W;Patterson SE;Bleecker AB
通讯作者:
Bleecker AB
影响因子:
4.6
作者:
Deng T;Yao H;Wang J;Wang J;Xue H;Zuo K
通讯作者:
Zuo K
影响因子:
9.2
作者:
Chang CC;Chow CC;Tellier LC;Vattikuti S;Purcell SM;Lee JJ
通讯作者:
Lee JJ
影响因子:
16
作者:
Kim TW;Guan S;Burlingame AL;Wang ZY
通讯作者:
Wang ZY