| Literature DB >> 29736016 |
Zhiying Ma1, Shoupu He2, Xingfen Wang3, Junling Sun2, Yan Zhang4, Guiyin Zhang4, Liqiang Wu4, Zhikun Li4, Zhihao Liu5, Gaofei Sun6, Yuanyuan Yan4, Yinhua Jia2, Jun Yang4, Zhaoe Pan2, Qishen Gu4, Xueyuan Li7, Zhengwen Sun4, Panhong Dai2,8, Zhengwen Liu4, Wenfang Gong2, Jinhua Wu4, Mi Wang8, Hengwei Liu9, Keyun Feng10, Huifeng Ke4, Junduo Wang7, Hongyu Lan10, Guoning Wang4, Jun Peng2, Nan Wang4, Liru Wang2, Baoyin Pang2, Zhen Peng2, Ruiqiang Li5, Shilin Tian11, Xiongming Du12.
Abstract
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.Entities:
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Year: 2018 PMID: 29736016 DOI: 10.1038/s41588-018-0119-7
Source DB: PubMed Journal: Nat Genet ISSN: 1061-4036 Impact factor: 38.330