Genome-wide association analysis revealed genetic variation and candidate genes associated with the yield traits of upland cotton under drought conditions
文献类型： 外文期刊
作者： Sun, Fenglei 1 ; Ma, Jun 3 ; Shi, Weijun 3 ; Yang, Yanlong 3 ;
作者机构： 1.Chinese Acad Agr Sci, Inst Cotton Res, State Key Lab Cotton Biol, Anyang, Peoples R China
2.Hainan Yazhou Bay Seed Lab, Sanya, Hainan, Peoples R China
3.Xinjiang Acad Agr Sci, Res Inst Econ Crops, Urumqi, Peoples R China
关键词： upland cotton; drought tolerance; genome-wide associated study; SNPs; candidate genes
期刊名称：FRONTIERS IN PLANT SCIENCE （ 影响因子：5.6； 五年影响因子：6.8 ）
ISSN： 1664-462X
年卷期： 2023 年 14 卷
页码：
收录情况： SCI
摘要： Drought is one of the major abiotic stresses seriously affecting cotton yield. At present, the main cotton-producing areas in China are primarily arid and semiarid regions. Therefore, the identification of molecular markers and genes associated with cotton yield traits under drought conditions is of great importance for stabilize cotton yield under such conditions. In this study, resequencing data were used to conduct a genome-wide association study (GWAS) on 8 traits of 150 cotton germplasms. Under drought stress, 18 SNPs were significantly correlated with yield traits (single-boll weight (SBW) and seed (SC)), and 8 SNPs were identified as significantly correlated with effective fruit shoot number (EFBN) traits (a trait that is positively correlated with yield). Finally, a total of 15 candidate genes were screened. The combined results of the GWAS and transcriptome data analysis showed that four genes were highly expressed after drought stress, and these genes had significantly increased expression at 10, 15 and 25 DPA of fiber development. qRT-PCR was performed on two samples with drought tolerance extremes (drought-resistant Xinluzao 45 and drought-sensitive Xinluzao 26), revealing that three of the genes had the same differential expression pattern. This study provides a theoretical basis for the genetic analysis of cotton yield traits under drought stress, and provides gene resources for improved breeding of cotton yield traits under drought stress.
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