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Post-polyploidization centromere evolution in cotton

Abstract

Upland cotton (Gossypium hirsutum) accounts for more than 90% of the world’s cotton production and, as an allotetraploid, is a model plant for polyploid crop domestication. In the present study, we reported a complete telomere-to-telomere (T2T) genome assembly of Upland cotton accession Texas Marker-1 (T2T-TM-1), which has a total size of 2,299.6 Mb, and annotated 79,642 genes. Based on T2T-TM-1, interspecific centromere divergence was detected between the A- and D-subgenomes and their corresponding diploid progenitors. Centromere-associated repetitive sequences (CRCs) were found to be enriched for Gypsy-like retroelements. Centromere size expansion, repositioning and structure variations occurred post-polyploidization. It is interesting that CRC homologs were transferred from the diploid D-genome progenitor to the D-subgenome, invaded the A-subgenome and then underwent post-tetraploidization proliferation. This suggests an evolutionary advantage for the CRCs of the D-genome progenitor, presents a D-genome-adopted inheritance of centromere repeats after polyploidization and shapes the dynamic centromeric landscape during polyploidization in polyploid species.

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Fig. 1: T2T assembly of the TM-1 genome.
Fig. 2: Identification of the centromeres in tetraploid (TM-1) cotton.
Fig. 3: Characterization of the Gh149 repeat sequence.
Fig. 4: Comparison between diploid genomes and their corresponding subgenomes of the tetraploid.
Fig. 5: A model of cotton centromere evolution.

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Data availability

The T2T-TM-1 assembly is available at the GenBank (accession no. JBJYSO000000000) and NCBI (accession no. PRJNA1197584). The assembly and annotation are also available at http://cotton.zju.edu.cn and the figshare database website (https://figshare.com/s/e7448929553e1073acaa). The genome-sequencing data used for TM-1-T2T assembly, including PacBio HiFi data and ultralong ONT data, were deposited in the NCBI database (accession nos. PRJNA1161022 and PRJNA1196658) and China National Genomics Data (https://ngdc.cncb.ac.cn) (accession no. PRJCA021201). The raw transcriptomics data used for annotation were deposited in the NCBI database (accession no. PRJNA1162026) and China National Genomics Data (accession no. PRJCA021339). The ChIP–seq data used for centromere identification were deposited in the NCBI database (accession no. PRJNA1162014) and China National Genomics Data (accession no. PRJCA021342).

Code availability

The codes used in the present study are available via Zenodo at https://doi.org/10.5281/zenodo.13294045 (ref. 100).

References

  1. Kursel, L. E. & Malik, H. S. Centromeres. Curr. Biol. 26, R487–R490 (2016).

    Article  CAS  PubMed  Google Scholar 

  2. Black, B. E. et al. Structural determinants for generating centromeric chromatin. Nature 430, 578–582 (2004).

    Article  CAS  PubMed  Google Scholar 

  3. Jiang, J., Birchler, J. A., Parrott, W. A. & Dawe, R. K. A molecular view of plant centromeres. Trends Plant Sci. 8, 570–575 (2003).

    Article  CAS  PubMed  Google Scholar 

  4. Comai, L., Maheshwari, S. & Marimuthu, M. P. A. Plant centromeres. Curr. Opin. Plant Biol. 36, 158–167 (2017).

    Article  CAS  PubMed  Google Scholar 

  5. Sullivan, L. L. & Sullivan, B. Genomic and functional variation of human centromeres. Exp. Cell Res. 389, 111896 (2020).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  6. Hartley, G. A., Okhovat, M., O’Neill, R. J. & Carbone, L. Comparative analyses of gibbon centromeres reveal dynamic genus-specific shifts in repeat composition. Mol. Biol. Evol. 38, 3972–3992 (2021).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  7. Capozzi, O. et al. A comprehensive molecular cytogenetic analysis of chromosome rearrangements in gibbons. Genome Res. 22, 2520–2528 (2012).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  8. Bracewell, R., Chatla, K., Nalley, M. J. & Bachtrog, D. Dynamic turnover of centromeres drives karyotype evolution in Drosophila. eLife 8, e49002 (2019).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  9. Perumal, S. et al. A high-contiguity Brassica nigra genome localizes active centromeres and defines the ancestral Brassica genome. Nat. Plant 6, 929–941 (2020).

    Article  CAS  Google Scholar 

  10. Kohel, R., Richmond, T. R. & Lewis, C. F. Texas Marker-1. Description of a genetic standard for Gossypium hirsutum L. Crop Sci. 10, 670–671 (1970).

    Article  Google Scholar 

  11. Zhang, T. Z. et al. Sequencing of allotetraploid cotton (Gossypium hirsutum L. acc. TM-1) provides a resource for fiber improvement. Nat. Biotechnol. 33, 531–537 (2015).

    Article  CAS  PubMed  Google Scholar 

  12. Li, F. G. et al. Genome sequence of cultivated Upland cotton (Gossypium hirsutum TM-1) provides insights into genome evolution. Nat. Biotechnol. 33, 524–530 (2015).

    Article  PubMed  Google Scholar 

  13. Hu, Y. et al. Gossypium barbadense and Gossypium hirsutum genomes provide insights into the origin and evolution of allotetraploid cotton. Nat. Genet. 51, 739–748 (2019).

    Article  CAS  PubMed  Google Scholar 

  14. Huang, G. et al. Genome sequence of Gossypium herbaceum and genome updates of Gossypium arboreum and Gossypium hirsutum provide insights into cotton A-genome evolution. Nat. Genet. 52, 516–524 (2020).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  15. Wang, M. et al. Reference genome sequences of two cultivated allotetraploid cottons, Gossypium hirsutum and Gossypium barbadense. Nat. Genet. 51, 224–229 (2019).

    Article  PubMed  Google Scholar 

  16. Yang, Z. et al. Extensive intraspecific gene order and gene structural variations in upland cotton cultivars. Nat. Commun. 10, 2989–3001 (2019).

    Article  PubMed  PubMed Central  Google Scholar 

  17. Chen, Z. J. et al. Genomic diversifications of five Gossypium allopolyploid species and their impact on cotton improvement. Nat. Genet. 52, 525–533 (2020).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  18. Simao, F. A., Waterhouse, R. M., Ioannidis, P., Kriventseva, E. V. & Zdobnov, E. M. BUSCO: assessing genome assembly and annotation completeness with single-copy orthologs. Bioinformatics 31, 3210–3212 (2015).

    Article  CAS  PubMed  Google Scholar 

  19. Shay, J. W. & Wright, W. E. Telomeres and telomerase: three decades of progress. Nat. Rev. Genet. 20, 299–309 (2019).

    Article  CAS  PubMed  Google Scholar 

  20. Han, J. et al. Rapid proliferation and nucleolar organizer targeting centromeric retrotransposons in cotton. Plant J. 88, 992–1005 (2016).

    Article  CAS  PubMed  Google Scholar 

  21. Shan, W., Jiang, Y., Han, J. & Wang, K. Comprehensive cytological characterization of the Gossypium hirsutum genome based on the development of a set of chromosome cytological markers. Crop J. 4, 256–265 (2016).

    Article  Google Scholar 

  22. Zhang, Y. et al. Cysteine-rich receptor-like protein kinases: emerging regulators of plant stress responses. Trends Plant Sci. 28, 776–794 (2023).

    Article  CAS  PubMed  Google Scholar 

  23. Fan, M., Wang, M. & Bai, M.-Y. Diverse roles of SERK family genes in plant growth, development and defense response. Sci. China Life Sci. 59, 889–896 (2016).

    Article  CAS  PubMed  Google Scholar 

  24. Wang, R. et al. Genome-wide analysis of strictosidine synthase-like gene family revealed their response to biotic/abiotic stress in poplar. Int. J. Mol. Sci. 24, 10117 (2023).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  25. Ma, Z. et al. Resequencing a core collection of upland cotton identifies genomic variation and loci influencing fiber quality and yield. Nat. Genet. 50, 803–813 (2018).

    Article  CAS  PubMed  Google Scholar 

  26. Shang, L. et al. A super pan-genomic landscape of rice. Cell Res. 32, 878–896 (2022).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  27. Li, B. et al. Wheat centromeric retrotransposons: the new ones take a major role in centromeric structure. Plant J. 73, 952–965 (2013).

    Article  CAS  PubMed  Google Scholar 

  28. Hudakova, S. et al. Sequence organization of barley centromeres. Nucleic Acids Res. 29, 5029–5035 (2001).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  29. Houben, A. et al. CENH3 interacts with the centromeric retrotransposon cereba and GC-rich satellites and locates to centromeric substructures in barley. Chromosoma 116, 275–283 (2007).

    Article  CAS  PubMed  Google Scholar 

  30. Su, H. et al. Centromere satellite repeats have undergone rapid changes in polyploid wheat subgenomes. Plant Cell 31, 2035–2051 (2019).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  31. Naish, M. et al. The genetic and epigenetic landscape of the Arabidopsis centromeres. Science 374, eabi7489 (2021).

    Article  PubMed  PubMed Central  Google Scholar 

  32. Song, J. M. et al. Two gap-free reference genomes and a global view of the centromere architecture in rice. Mol. Plant 14, 1757–1767 (2021).

    Article  CAS  PubMed  Google Scholar 

  33. Chen, J. et al. A complete telomere-to-telomere assembly of the maize genome. Nat. Genet. 55, 1221–1231 (2023).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  34. Gong, Z. et al. Repeatless and repeat-based centromeres in potato: implications for centromere evolution. Plant Cell 24, 3559–3574 (2012).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  35. Macas, J. et al. Next generation sequencing-based analysis of repetitive DNA in the model dioecious [corrected] plant Silene latifolia. PLoS ONE 6, e27335 (2011).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  36. Zhang, W. et al. Identification of centromeric regions on the linkage map of cotton using centromere-related repeats. Genomics 104, 587–593 (2014).

    Article  CAS  PubMed  Google Scholar 

  37. Udall, J. A. et al. De novo genome sequence assemblies of Gossypium raimondii and Gossypium turneri. G3 9, 3079–3085 (2019).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  38. Gao, S. et al. HiCAT: a tool for automatic annotation of centromere structure. Genome Biol. 24, 58 (2023).

    Article  PubMed  PubMed Central  Google Scholar 

  39. Altemose, N. et al. Complete genomic and epigenetic maps of human centromeres. Science 376, eabl4178 (2022).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  40. Alexandrov, I., Kazakov, A., Tumeneva, I., Shepelev, V. & Yurov, Y. Alpha-satellite DNA of primates: old and new families. Chromosoma 110, 253–266 (2001).

    Article  CAS  PubMed  Google Scholar 

  41. Luo, S. et al. The cotton centromere contains a Ty3-gypsy-like LTR retroelement. PLoS ONE 7, e35261 (2012).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  42. Fukagawa, T. & Earnshaw, W. C. The centromere: chromatin foundation for the kinetochore machinery. Dev. Cell 30, 496–508 (2014).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  43. Shang, L. et al. A complete assembly of the rice Nipponbare reference genome. Mol. Plant 16, 1232–1236 (2023).

    Article  CAS  PubMed  Google Scholar 

  44. Deng, Y. et al. A telomere-to-telomere gap-free reference genome of watermelon and its mutation library provide important resources for gene discovery and breeding. Mol. Plant 15, 1268–1284 (2022).

    Article  CAS  PubMed  Google Scholar 

  45. Wang, Y. et al. Telomere-to-telomere and haplotype-resolved genome of the kiwifruit Actinidia eriantha. Mol. Hort. 3, 4 (2023).

    Article  CAS  Google Scholar 

  46. Huang, H. et al. Telomere-to-telomere haplotype-resolved reference genome reveals subgenome divergence and disease resistance in triploid Cavendish banana. Hort. Res. 10, uhad153 (2023).

  47. Fu, A. et al. Telomere-to-telomere genome assembly of bitter melon (Momordica charantia L. var. abbreviata Ser.) reveals fruit development, composition and ripening genetic characteristics. Hort. Res. 10, uhac228 (2022).

    Article  Google Scholar 

  48. Zhou, Y. et al. The telomere-to-telomere genome of Fragaria vesca reveals the genomic evolution of Fragaria and the origin of cultivated octoploid strawberry. Hort. Res. 10, uhad027 (2023).

    Article  CAS  Google Scholar 

  49. Wang, T. et al. A complete gap-free diploid genome in Saccharum complex and the genomic footprints of evolution in the highly polyploid Saccharum genus. Nat. Plant 9, 554–571 (2023).

    Article  CAS  Google Scholar 

  50. Wlodzimierz, P. et al. Cycles of satellite and transposon evolution in Arabidopsis centromeres. Nature 618, 557–565 (2023).

    Article  CAS  PubMed  Google Scholar 

  51. Ahmed, H. et al. Einkorn genomics sheds light on history of the oldest domesticated wheat. Nature 620, 830–838 (2023).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  52. Ma, H. et al. Centromere plasticity with evolutionary conservation and divergence uncovered by wheat 10+ genomes. Mol. Biol. Evol. 40, msad176 (2023).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  53. Zhao, J. et al. Centromere repositioning and shifts in wheat evolution. Plant Commun. 4, 100556 (2023).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  54. Ventura, M., Archidiacono, N. & Rocchi, M. Centromere emergence in evolution. Genome Res. 11, 595–599 (2001).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  55. Ventura, M. et al. Recurrent sites for new centromere seeding. Genome Res. 14, 1696–1703 (2004).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  56. Ventura, M. et al. Evolutionary formation of new centromeres in macaque. Science 316, 243–246 (2007).

    Article  CAS  PubMed  Google Scholar 

  57. Wang, K., Wu, Y., Zhang, W., Dawe, R. K. & Jiang, J. Maize centromeres expand and adopt a uniform size in the genetic background of oat. Genome Res. 24, 107–116 (2014).

    Article  PubMed  PubMed Central  Google Scholar 

  58. Zhao, H. et al. Recurrent establishment of de novo centromeres in the pericentromeric region of maize chromosome 3. Chromosome Res. 25, 299–311 (2017).

    Article  CAS  PubMed  Google Scholar 

  59. Schneider, K. L., Xie, Z., Wolfgruber, T. K. & Presting, G. G. Inbreeding drives maize centromere evolution. Proc. Natl Acad. Sci. USA 113, E987–E996 (2016).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  60. Xue, C. et al. De novo centromere formation in pericentromeric region of rice chromosome 8. Plant J. 111, 859–871 (2022).

    Article  CAS  PubMed  Google Scholar 

  61. Yang, X. et al. Amplification and adaptation of centromeric repeats in polyploid switchgrass species. New Phytol. 218, 1645–1657 (2018).

    Article  CAS  PubMed  Google Scholar 

  62. Paterson, A. H., Brubaker, C. L. & Wendel, J. F. A rapid method for extraction of cotton (Gossypium spp.) genomic DNA suitable for RFLP or PCR analysis. Plant Mol. Biol. Rep. 11, 122–127 (1993).

    Article  CAS  Google Scholar 

  63. Cheng, H., Concepcion, G., Feng, X., Zhang, H. & Li, H. Haplotype-resolved de novo assembly using phased assembly graphs with hifiasm. Nat. Methods 18, 170–175 (2021).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  64. Li, H. & Durbin, R. Fast and accurate short read alignment with Burrows–Wheeler transform. Bioinformatics 25, 1754–1760 (2009).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  65. Zhang, X., Zhang, S., Zhao, Q., Ming, R. & Tang, H. Assembly of allele-aware, chromosomal-scale autopolyploid genomes based on Hi-C data. Nat. Plant 5, 833–845 (2019).

    Article  CAS  Google Scholar 

  66. Servant, N. et al. HiC-Pro: an optimized and flexible pipeline for Hi-C data processing. Genome Biol. 16, 259–269 (2015).

    Article  PubMed  PubMed Central  Google Scholar 

  67. Durand, N. C. et al. Juicebox provides a visualization system for Hi-C contact maps with unlimited zoom. Cell Syst. 3, 99–101 (2016).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  68. Lin, Y. et al. quarTeT: a telomere-to-telomere toolkit for gap-free genome assembly and centromeric repeat identification. Hort. Res. 10, uhad127 (2023).

    Article  Google Scholar 

  69. Stanke, M. et al. AUGUSTUS: ab initio prediction of alternative transcripts. Nucleic Acids Res. 34, W435–W439 (2006).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  70. Guigo, R. Assembling genes from predicted exons in linear time with dynamic programming. J. Comput. Biol. 5, 681–702 (1998).

    Article  CAS  PubMed  Google Scholar 

  71. Burge, C. & Karlin, S. Prediction of complete gene structures in human genomic DNA. J. Mol. Biol. 268, 78–94 (1997).

    Article  CAS  PubMed  Google Scholar 

  72. Majoros, W. H., Pertea, M. & Salzberg, S. L. TigrScan and GlimmerHMM: two open source ab initio eukaryotic gene-finders. Bioinformatics 20, 2878–2879 (2004).

    Article  CAS  PubMed  Google Scholar 

  73. Korf, I. Gene finding in novel genomes. BMC Bioinf. 5, 59–67 (2004).

    Article  Google Scholar 

  74. Birney, E., Clamp, M. & Durbin, R. GeneWise and genomewise. Genome Res. 14, 988–995 (2004).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  75. Jones, P. et al. InterProScan 5: genome-scale protein function classification. Bioinformatics 30, 1236–1240 (2014).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  76. Bairoch, A. & Apweiler, R. The SWISS-PROT protein sequence data bank and its supplement TrEMBL. Nucleic Acids Res. 25, 31–36 (1997).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  77. Buchfink, B., Xie, C. & Huson, D. H. Fast and sensitive protein alignment using DIAMOND. Nat. Methods 12, 59–60 (2015).

    Article  CAS  PubMed  Google Scholar 

  78. Lowe, T. M. & Eddy, S. R. tRNAscan-SE: a program for improved detection of transfer RNA genes in genomic sequence. Nucleic Acids Res. 25, 955–964 (1997).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  79. Nawrocki, E. P. & Eddy, S. R. Infernal 1.1: 100-fold faster RNA homology searches. Bioinformatics 29, 2933–2935 (2013).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  80. Li, H. Minimap2: pairwise alignment for nucleotide sequences. Bioinformatics 34, 3094–3100 (2018).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  81. Goel, M., Sun, H., Jiao, W. B. & Schneeberger, K. SyRI: finding genomic rearrangements and local sequence differences from whole-genome assemblies. Genome Biol. 20, 277–289 (2019).

    Article  PubMed  PubMed Central  Google Scholar 

  82. Goel, M. & Schneeberger, K. plotsr: visualizing structural similarities and rearrangements between multiple genomes. Bioinformatics 38, 2922–2926 (2022).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  83. Fan, L. et al. A high-density genetic map of extra-long staple cotton (Gossypium barbadense) constructed using genotyping-by-sequencing based single nucleotide polymorphic markers and identification of fiber traits-related QTL in a recombinant inbred line population. BMC Genom. 19, 489–500 (2018).

    Article  Google Scholar 

  84. Li, H. et al. The sequence alignment/map format and SAMtools. Bioinformatics 25, 2078–2079 (2009).

    Article  PubMed  PubMed Central  Google Scholar 

  85. Kang, H. M. et al. Variance component model to account for sample structure in genome-wide association studies. Nat. Genet. 42, 348–354 (2010).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  86. Fang, L. et al. Genomic analyses in cotton identify signatures of selection and loci associated with fiber quality and yield traits. Nat. Genet. 49, 1089–1098 (2017).

    Article  CAS  PubMed  Google Scholar 

  87. Fang, L. et al. Divergent improvement of two cultivated allotetraploid cotton species. Plant Biotechnol. J. 19, 1325–1336 (2021).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  88. Yin, L. et al. rMVP: a memory-efficient, visualization-enhanced, and parallel-accelerated tool for genome-wide association study. Genom. Proteom. Bioinformat. 19, 619–628 (2021).

    Article  Google Scholar 

  89. Langmead, B. & Salzberg, S. L. Fast gapped-read alignment with Bowtie 2. Nat. Methods 9, 357–359 (2012).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  90. Wang, M. et al. Comparative genome analyses highlight transposon-mediated genome expansion and the evolutionary architecture of 3D genomic folding in cotton. Mol. Biol. Evol. 38, 3621–3636 (2021).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  91. Stovner, E. B. & Sætrom, P. epic2 efficiently finds diffuse domains in ChIP-seq data. Bioinformatics 35, 4392–4393 (2019).

    Article  CAS  PubMed  Google Scholar 

  92. Ou, S. et al. Benchmarking transposable element annotation methods for creation of a streamlined, comprehensive pipeline. Genome Biol. 20, 275 (2019).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  93. Zhang, R.-G. et al. TEsorter: an accurate and fast method to classify LTR-retrotransposons in plant genomes. Hort. Res. 9, uhac017 (2022).

    Article  Google Scholar 

  94. Vollger, M. R., Kerpedjiev, P., Phillippy, A. M. & Eichler, E. E. StainedGlass: interactive visualization of massive tandem repeat structures with identity heatmaps. Bioinformatics 38, 2049–2051 (2022).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  95. Albert, P. S. et al. Whole-chromosome paints in maize reveal rearrangements, nuclear domains, and chromosomal relationships. Proc. Natl Acad. Sci. USA 116, 1679–1685 (2019).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  96. Zhang, X. et al. Characterization of meiotic chromosome behavior in the autopolyploid Saccharum spontaneum reveals preferential chromosome pairing without distinct DNA sequence variation. Crop J. 11, 1550–1558 (2023).

    Article  Google Scholar 

  97. Wang, K., Zhang, W., Jiang, Y. & Zhang, T. Systematic application of DNA fiber-FISH technique in cotton. PLoS ONE 8, e75674 (2013).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  98. Yu, J. et al. CottonGen: the community database for cotton genomics, genetics, and breeding research. Plants 10, 2805–2820 (2021).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  99. Dai, F. et al. COTTONOMICS: a comprehensive cotton multi-omics database. Database 2022, 1–8 (2022).

    Article  CAS  Google Scholar 

  100. Hu, Y. Scripts used in ‘Post-polyploidization centromere evolution in cotton’. Zenodo https://doi.org/10.5281/zenodo.13294045 (2024).

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Acknowledgements

The present study was financially supported by grants from the National Key R&D Program of China (grant no. 2022YFF1001400 to L.F.), the Fundamental Research Funds for the Central Universities (grant no. 226-2022-00100 to T.Z.), the National Natural Science Foundation of China (grant nos. 32130075 to T.Z. and 32070544 to K.W.), Xinjiang Production and Construction Corps (grant no. 2023AA008 to T.Z.) and postdoctoral innovative talents support program (grant no. 517000-X92308 to S.J.). We thank Y. X. Zhu (Wuhan University), Z. J. Chen (University of Texas at Austin), S. X. Yu (Institute of Cotton Research of the Chinese Academy of Agricultural Sciences), F. G. Li (Institute of Cotton Research of the Chinese Academy of Agricultural Sciences), Z. Y. Ma (Hebei Agricultural University), X. L. Zhang (Huazhong Agricultural University), J. A. Udall (Crop Germplasm Research Unit) and J. F. Wendel (Iowa State University), who kindly released cotton genomes for comparisons in this Article.

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T.Z. conceived the research project and designed the experiments. Y.H., S.Y., L.X., X.G. and L.F. assembled the TM-1-T2T genome; K.W., J.H. and G.Y. conducted molecular cytogenetic and centromeric analysis. J.H., S.J., Z.H., Z.S. X.G. and L.F. analyzed the bioinformatic data. T.Z., Y.H., S.J., J.H. and K.W. participated in writing and revising the paper. All authors discussed the results and commented on the paper.

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Correspondence to Lei Fang, Kai Wang or Tianzhen Zhang.

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Yan, H., Han, J., Jin, S. et al. Post-polyploidization centromere evolution in cotton. Nat Genet 57, 1021–1030 (2025). https://doi.org/10.1038/s41588-025-02115-3

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