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Resequencing a core collection of upland cotton identifies genomic variation and loci influencing fiber quality and yield.

Zhiying MaShoupu HeXingfen WangJunling SunYan ZhangGuiyin ZhangLiqiang WuZhikun LiZhihao LiuGaofei SunYuanyuan YanYinhua JiaJun YangZhaoe PanQishen GuXueyuan LiZhengwen SunPanhong DaiZhengwen LiuWenfang GongJinhua WuMi WangHengwei LiuKeyun FengHuifeng KeJunduo WangHongyu LanGuoning WangJun PengNan WangLiru WangBaoyin PangZhen PengRuiqiang LiShilin TianXiongming Du
Published in: Nature genetics (2018)
Upland cotton is the most important natural-fiber crop. The genomic variation of diverse germplasms and alleles underpinning fiber quality and yield should be extensively explored. Here, we resequenced a core collection comprising 419 accessions with 6.55-fold coverage depth and identified approximately 3.66 million SNPs for evaluating the genomic variation. We performed phenotyping across 12 environments and conducted genome-wide association study of 13 fiber-related traits. 7,383 unique SNPs were significantly associated with these traits and were located within or near 4,820 genes; more associated loci were detected for fiber quality than fiber yield, and more fiber genes were detected in the D than the A subgenome. Several previously undescribed causal genes for days to flowering, fiber length, and fiber strength were identified. Phenotypic selection for these traits increased the frequency of elite alleles during domestication and breeding. These results provide targets for molecular selection and genetic manipulation in cotton improvement.
Keyphrases
  • genome wide
  • copy number
  • dna methylation
  • genome wide association study
  • body composition
  • gene expression
  • transcription factor
  • quality improvement
  • affordable care act