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Integration of multi-omics data accelerates molecular analysis of common wheat traits

Author

Listed:
  • Ning Zhang

    (Henan Agricultural University)

  • Li Tang

    (Central South University)

  • Songgang Li

    (Henan Agricultural University)

  • Lu Liu

    (Henan Agricultural University)

  • Mengjuan Gao

    (Henan Agricultural University)

  • Sisheng Wang

    (Henan Agricultural University)

  • Daiying Chen

    (Henan Agricultural University)

  • Yichao Zhao

    (Central South University)

  • Ruiqing Zheng

    (Central South University)

  • Armin Soleymaniniya

    (Technical University of Munich (TUM))

  • Lingran Zhang

    (Henan Agricultural University)

  • Wenkang Wang

    (Central South University)

  • Xia Yang

    (Henan Agricultural University)

  • Yan Ren

    (Henan Agricultural University)

  • Congwei Sun

    (Henan Agricultural University)

  • Mathias Wilhelm

    (Technical University of Munich (TUM))

  • Daowen Wang

    (Henan Agricultural University)

  • Min Li

    (Central South University)

  • Feng Chen

    (Henan Agricultural University)

Abstract

Integration of multi-omics data can provide information on biomolecules from different layers to illustrate the complex biology systematically. Here, we build a multi-omics atlas containing 132,570 transcripts, 44,473 proteins, 19,970 phosphoproteins, and 12,427 acetylproteins across wheat vegetative and reproductive phases. Using this atlas, we elucidate transcriptional regulation network, contributions of post-translational modification (PTM) and transcript level to protein abundance, and biased homoeolog expression and PTM in wheat. The genes/proteins related to wheat development and disease resistance are systematically analyzed, thus identifying phosphorylation and/or acetylation modifications for the seed proteins controlling wheat grain quality and the disease resistance-related genes. Lastly, a unique protein module TaHDA9-TaP5CS1, specifying de-acetylation of TaP5CS1 by TaHDA9, is discovered, which regulates wheat resistance to Fusarium crown rot via increasing proline content. Our atlas holds great promise for fast-tracking molecular biology and breeding studies in wheat and related crops.

Suggested Citation

  • Ning Zhang & Li Tang & Songgang Li & Lu Liu & Mengjuan Gao & Sisheng Wang & Daiying Chen & Yichao Zhao & Ruiqing Zheng & Armin Soleymaniniya & Lingran Zhang & Wenkang Wang & Xia Yang & Yan Ren & Congw, 2025. "Integration of multi-omics data accelerates molecular analysis of common wheat traits," Nature Communications, Nature, vol. 16(1), pages 1-19, December.
    • Handle: RePEc:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-025-57550-x
    DOI: 10.1038/s41467-025-57550-x
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