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Genomic analyses in cotton identify signatures of selection and loci associated with fiber quality and yield traits

文献类型: 外文期刊

作者: Fang, Lei 1 ; Wang, Qiong 1 ; Hu, Yan 1 ; Jia, Yinhua 1 ; Chen, Jiedan 1 ; Liu, Bingliang 1 ; Zhang, Zhiyuan 1 ; Guan, Xueying 1 ; Chen, Shuqi 1 ; Zhou, Baoliang 1 ; Mei, Gaofu 1 ; Sun, Junling 1 ; Pan, Zhaoe 1 ; He, Shoupu 1 ; Xiao, Songhua 1 ; Shi, Weijun 1 ; Gong, Wenfang 1 ; Liu, Jianguang 1 ; Ma, Jun 1 ; Cai, Caiping 1 ; Zhu, Xiefei 1 ; Guo, Wangzhen 1 ; Du, Xiongming 2 ; Zhang, Tianzhen 3 ;

作者机构: 1.Nanjing Agr Univ, State Key Lab Crop Genet & Germplasm Enhancement, Cotton Hybrid R&D Engn Ctr, Minist Educ, Nanjing, Jiangsu, Peoples R China

2.Chinese Acad Agr Sci, State Key Lab Cotton Biol, Key Lab Cotton Genet Improvement, ICR,Minist Agr, Anyang, Peoples R China

3.;Nanjing Agr Univ, State Key Lab Crop Genet & Germplasm Enhancement, Cotton Hybrid R&D Engn Ctr, Minist Educ, Nanjing, Jiangsu, Peoples R China;^Zhejiang Univ, Agron Dept, Coll Agr & Biotechnol, Hangzhou, Zhejiang, Peoples R China

期刊名称:NATURE GENETICS ( 影响因子:38.33; 五年影响因子:36.431 )

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收录情况: SCI

摘要: Upland cotton (Gossypium hirsutum) is the most important natural fiber crop in the world. The overall genetic diversity among cultivated species of cotton and the genetic changes that occurred during their improvement are poorly understood. Here we report a comprehensive genomic assessment of modern improved upland cotton based on the genome-wide resequencing of 318 landraces and modern improved cultivars or lines. We detected more associated loci for lint yield than for fiber quality, which suggests that lint yield has stronger selection signatures than other traits. We found that two ethylene-pathway-related genes were associated with increased lint yield in improved cultivars. We evaluated the population frequency of each elite allele in historically released cultivar groups and found that 54.8% of the elite genome-wide association study (GWAS) alleles detected were transferred from three founder landraces: Deltapine 15, Stoneville 2B and Uganda Mian. Our results provide a genomic basis for improving cotton cultivars and for further evolutionary analysis of polyploid crops.

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