Literature DB >> 29736016

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

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.

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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


  97 in total

1.  Full-length annotation with multistrategy RNA-seq uncovers transcriptional regulation of lncRNAs in cotton.

Authors:  Xiaomin Zheng; Yanjun Chen; Yifan Zhou; Keke Shi; Xiao Hu; Danyang Li; Hanzhe Ye; Yu Zhou; Kun Wang
Journal:  Plant Physiol       Date:  2021-02-25       Impact factor: 8.340

2.  Elucidation of sequence polymorphism in fuzzless-seed cotton lines.

Authors:  Marina Naoumkina; Gregory N Thyssen; David D Fang; Ping Li; Christopher B Florane
Journal:  Mol Genet Genomics       Date:  2020-11-03       Impact factor: 3.291

3.  Dissecting the genetic basis of fiber quality and yield traits in interspecific backcross populations of Gossypium hirsutum × Gossypium barbadense.

Authors:  Yuzhen Shi; Aiying Liu; Junwen Li; Jinfa Zhang; Baocai Zhang; Qun Ge; Muhammad Jamshed; Quanwei Lu; Shaoqi Li; Xianghui Xiang; Juwu Gong; Wankui Gong; Haihong Shang; Xiaoying Deng; Jingtao Pan; Youlu Yuan
Journal:  Mol Genet Genomics       Date:  2019-06-14       Impact factor: 3.291

4.  Evaluation and genome-wide association study of resistance to bacterial blight race 18 in U.S. Upland cotton germplasm.

Authors:  Hanan Elassbli; Abdelraheem Abdelraheem; Yi Zhu; Zonghua Teng; Terry A Wheeler; Vasu Kuraparthy; Lori Hinze; David M Stelly; Tom Wedegaertner; Jinfa Zhang
Journal:  Mol Genet Genomics       Date:  2021-03-29       Impact factor: 3.291

5.  Enhancing Upland cotton for drought resilience, productivity, and fiber quality: comparative evaluation and genetic dissection.

Authors:  Mauricio Ulloa; Luis M De Santiago; Amanda M Hulse-Kemp; David M Stelly; John J Burke
Journal:  Mol Genet Genomics       Date:  2019-10-16       Impact factor: 3.291

6.  Dissection of the genetic variation and candidate genes of lint percentage by a genome-wide association study in upland cotton.

Authors:  Chengxiang Song; Wei Li; Xiaoyu Pei; Yangai Liu; Zhongying Ren; Kunlun He; Fei Zhang; Kuan Sun; Xiaojian Zhou; Xiongfeng Ma; Daigang Yang
Journal:  Theor Appl Genet       Date:  2019-04-13       Impact factor: 5.699

7.  QTL analysis and candidate gene identification for plant height in cotton based on an interspecific backcross inbred line population of Gossypium hirsutum × Gossypium barbadense.

Authors:  Jianjiang Ma; Wenfeng Pei; Qifeng Ma; Yanhui Geng; Guoyuan Liu; Ji Liu; Yupeng Cui; Xia Zhang; Man Wu; Xingli Li; Dan Li; XinShan Zang; Jikun Song; Shurong Tang; Jinfa Zhang; Shuxun Yu; Jiwen Yu
Journal:  Theor Appl Genet       Date:  2019-06-24       Impact factor: 5.699

8.  Whole genome sequencing of a MAGIC population identified genomic loci and candidate genes for major fiber quality traits in upland cotton (Gossypium hirsutum L.).

Authors:  Gregory N Thyssen; Johnie N Jenkins; Jack C McCarty; Linghe Zeng; B Todd Campbell; Christopher D Delhom; Md Sariful Islam; Ping Li; Don C Jones; Brian D Condon; David D Fang
Journal:  Theor Appl Genet       Date:  2018-12-01       Impact factor: 5.699

9.  Genetic dissection of yield-related traits via genome-wide association analysis across multiple environments in wild soybean (Glycine soja Sieb. and Zucc.).

Authors:  Dezhou Hu; Huairen Zhang; Qing Du; Zhenbin Hu; Zhongyi Yang; Xiao Li; Jiao Wang; Fang Huang; Deyue Yu; Hui Wang; Guizhen Kan
Journal:  Planta       Date:  2020-01-06       Impact factor: 4.116

10.  Whole-genome resequencing of 240 Gossypium barbadense accessions reveals genetic variation and genes associated with fiber strength and lint percentage.

Authors:  Jingwen Yu; Yixuan Hui; Jinhong Chen; Hurong Yu; Xinpeng Gao; Zhaohui Zhang; Qin Li; Shuijin Zhu; Tianlun Zhao
Journal:  Theor Appl Genet       Date:  2021-07-08       Impact factor: 5.699

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