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

Nature Geneticsvolume 50pages803813 (2018) | Download Citation


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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We thank the National Mid-term Gene Bank for Cotton at the Cotton Research Institute, Chinese Academy of Agricultural Sciences, for providing the original collection seeds. We thank T. Zhang for releasing resequencing data for wild cotton accessions. This work was supported by the Fund of the China Agriculture Research System (CARS18-08) and the Science and Technology Support Program of Hebei Province (16226307D) to Z.M.; the National Major Science and Technology Program (2016ZX08005003-005) to X.W.; the National Key Research and Development Program (2016YFD0100203) to X.D., (2016YFD0101405) to Y.Z., and (2016YFD0100306) to S.H.; and the National Science and Technology Support Program (2013BAD01B03) to X.D.

Author information

Author notes

  1. These authors contributed equally: Zhiying Ma, Shoupu He, Xingfen Wang, Junling Sun, Yan Zhang, Guiyin Zhang, Liqiang Wu, Zhikun Li, Zhihao Liu.


  1. North China Key Laboratory for Crop Germplasm Resources of Education Ministry, Hebei Agricultural University, Baoding, China

    • Zhiying Ma
    • , Xingfen Wang
    • , Yan Zhang
    • , Guiyin Zhang
    • , Liqiang Wu
    • , Zhikun Li
    • , Yuanyuan Yan
    • , Jun Yang
    • , Qishen Gu
    • , Zhengwen Sun
    • , Zhengwen Liu
    • , Jinhua Wu
    • , Huifeng Ke
    • , Guoning Wang
    •  & Nan Wang
  2. State Key Laboratory of Cotton Biology, Institute of Cotton Research of the Chinese Academy of Agricultural Sciences, Anyang, China

    • Shoupu He
    • , Junling Sun
    • , Yinhua Jia
    • , Zhaoe Pan
    • , Panhong Dai
    • , Wenfang Gong
    • , Jun Peng
    • , Liru Wang
    • , Baoyin Pang
    • , Zhen Peng
    •  & Xiongming Du
  3. Novogene Bioinformatics Institute, Beijing, China

    • Zhihao Liu
    • , Ruiqiang Li
    •  & Shilin Tian
  4. Anyang Institute of Technology, Anyang, China

    • Gaofei Sun
  5. Xinjiang Academy of Agricultural Sciences, Urumchi, China

    • Xueyuan Li
    •  & Junduo Wang
  6. Yangtze University, Jingzhou, China

    • Panhong Dai
    •  & Mi Wang
  7. Suzhou University of Science and Technology, Suzhou, China

    • Hengwei Liu
  8. Gansu Academy of Agricultural Sciences, Lanzhou, China

    • Keyun Feng
    •  & Hongyu Lan


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Z.M., X.W., X.D., and S.T. designed the analyses. Z.M., X.W., X.D., S.H., Y.Z., Zhihao Liu, and R.L. performed sequencing, genomic-variant, and GWAS analyses. X.W., G.Z., L. Wu, J.P., and S.T. managed the project. J.S., L. Wu, Z. Li, G.Z., J.Y., Y.J., Q.G., Z. Pan, X.L., Z.S., P.D., Zhengwen Liu, W.G., J. Wu, M.W., H. Liu, K.F., H.K., J. Wang, H. Lan, G.W., L. Wang, B.P., and Z. Peng performed field experiments and phenotyping. X.W., G.S., Y.J., Z.S., Zhengwen Liu, and N.W. performed data integration. Y.Z., Zhengwen Liu, and Z.S. performed transcriptome analyses. J.S., L. Wang, Y.J., and H.K. prepared the population material. Y.Z., Y.Y., and X.W. conducted gene expression analysis and functional validation. X.W. and Z.M. designed the research and wrote the manuscript. S.H., Y.Z., S.T., and X.D. designed the research and revised the manuscript. Z.M. and X.D. conceived the research.

Competing interests

The authors declare no competing financial interests.

Corresponding authors

Correspondence to Zhiying Ma or Xingfen Wang or Shilin Tian or Xiongming Du.

Supplementary information

  1. Supplementary Tables and Figures

    Supplementary Figures 1–23 and Supplementary Tables 3, 6, 8, 9, 11–13 and 15

  2. Reporting Summary

  3. Supplementary Table 1

    The list of 419 cotton accessions used in this study and their sequenced information

  4. Supplementary Table 2

    Statistics of different SNP mutation types for 419 accessions

  5. Supplementary Table 4

    Tracy-Widom statistics of eigenvalues from PCA analysis of 419 accessions

  6. Supplementary Table 5

    The ancestry proportion estimates for each accession when the ancestral population was specified as three

  7. Supplementary Table 7

    Number of SNP variation of different genes between core collection and wild races

  8. Supplementary Table 10

    List of the associated SNPs and genes for 13 traits

  9. Supplementary Table 14

    SNPs, elite alleles and their frequency of 13 traits in wild races, early- and modern-varieties

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