2. Academic Validation
  3. Integration of multi-omics data accelerates molecular analysis of common wheat traits

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

  • Nat Commun. 2025 Mar 5;16(1):2200. doi: 10.1038/s41467-025-57550-x.
Ning Zhang # 1,  Li Tang # 2,  Songgang Li 3,  Lu Liu 3,  Mengjuan Gao 3,  Sisheng Wang 3,  Daiying Chen 3,  Yichao Zhao 2,  Ruiqing Zheng 2,  Armin Soleymaniniya 4,  Lingran Zhang 3,  Wenkang Wang 2,  Xia Yang 3,  Yan Ren 3,  Congwei Sun 3,  Mathias Wilhelm 4,  Daowen Wang 5,  Min Li 6,  Feng Chen 7
Affiliations

Affiliations

  • 1 State Key Laboratory of High-Efficiency Production of Wheat-Maize Double Cropping /Agronomy College, Henan Agricultural University, Zhengzhou, 450046, China. zhangning88012@126.com.
  • 2 School of Computer Science and Engineering, Central South University, Changsha, 410083, China.
  • 3 State Key Laboratory of High-Efficiency Production of Wheat-Maize Double Cropping /Agronomy College, Henan Agricultural University, Zhengzhou, 450046, China.
  • 4 Chair of Proteomics and Bioanalytics, Technical University of Munich (TUM), Freising, 84104, Germany.
  • 5 State Key Laboratory of High-Efficiency Production of Wheat-Maize Double Cropping /Agronomy College, Henan Agricultural University, Zhengzhou, 450046, China. dwwang@henau.edu.cn.
  • 6 School of Computer Science and Engineering, Central South University, Changsha, 410083, China. limin@mail.csu.edu.cn.
  • 7 State Key Laboratory of High-Efficiency Production of Wheat-Maize Double Cropping /Agronomy College, Henan Agricultural University, Zhengzhou, 450046, China. fengchen@henau.edu.cn.
  • # Contributed equally.
PMID: 40038279 DOI: 10.1038/s41467-025-57550-x
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.

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