Evidence map›Paper›PMID 40038279›Full record

ArticleNature communications2025

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

Ning Zhang, Li Tang, Songgang Li, Lu Liu, Mengjuan Gao, Sisheng Wang, Daiying Chen, Yichao Zhao, Ruiqing Zheng, Armin Soleymaniniya and 9 more

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed.

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  13. Proteomics-based multi-omics reveals mPlant communications · 2025
    Article
  14. Landscape and mCell genomics · 2025
    Article
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  18. TaHSP18.6 and TaSRT1 interact to confer resistance toProceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  19. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

19 authors.

Ning Zhang *State Key Laboratory of High-Efficiency Production of Wheat-Maize Double Cropping /Agronomy College, Henan Agricultural University, Zhengzhou, 450046, China. zhangning88012@126.com.ORCID http://orcid.org/0000-0002-0481-6336
Li Tang *School of Computer Science and Engineering, Central South University, Changsha, 410083, China.
Songgang LiState Key Laboratory of High-Efficiency Production of Wheat-Maize Double Cropping /Agronomy College, Henan Agricultural University, Zhengzhou, 450046, China.ORCID http://orcid.org/0009-0008-6556-0566
Lu LiuState Key Laboratory of High-Efficiency Production of Wheat-Maize Double Cropping /Agronomy College, Henan Agricultural University, Zhengzhou, 450046, China.
Mengjuan GaoState Key Laboratory of High-Efficiency Production of Wheat-Maize Double Cropping /Agronomy College, Henan Agricultural University, Zhengzhou, 450046, China.
Sisheng WangState Key Laboratory of High-Efficiency Production of Wheat-Maize Double Cropping /Agronomy College, Henan Agricultural University, Zhengzhou, 450046, China.
Daiying ChenState Key Laboratory of High-Efficiency Production of Wheat-Maize Double Cropping /Agronomy College, Henan Agricultural University, Zhengzhou, 450046, China.
Yichao ZhaoSchool of Computer Science and Engineering, Central South University, Changsha, 410083, China.ORCID http://orcid.org/0000-0003-1058-0865
Ruiqing ZhengSchool of Computer Science and Engineering, Central South University, Changsha, 410083, China.ORCID http://orcid.org/0000-0001-6372-6798
Armin SoleymaniniyaChair of Proteomics and Bioanalytics, Technical University of Munich (TUM), Freising, 84104, Germany.ORCID http://orcid.org/0000-0002-7799-6091
Lingran ZhangState Key Laboratory of High-Efficiency Production of Wheat-Maize Double Cropping /Agronomy College, Henan Agricultural University, Zhengzhou, 450046, China.
Wenkang WangSchool of Computer Science and Engineering, Central South University, Changsha, 410083, China.
Xia YangState Key Laboratory of High-Efficiency Production of Wheat-Maize Double Cropping /Agronomy College, Henan Agricultural University, Zhengzhou, 450046, China.
Yan RenState Key Laboratory of High-Efficiency Production of Wheat-Maize Double Cropping /Agronomy College, Henan Agricultural University, Zhengzhou, 450046, China.
Congwei SunState Key Laboratory of High-Efficiency Production of Wheat-Maize Double Cropping /Agronomy College, Henan Agricultural University, Zhengzhou, 450046, China.
Mathias WilhelmChair of Proteomics and Bioanalytics, Technical University of Munich (TUM), Freising, 84104, Germany.ORCID http://orcid.org/0000-0002-9224-3258
Daowen WangState Key Laboratory of High-Efficiency Production of Wheat-Maize Double Cropping /Agronomy College, Henan Agricultural University, Zhengzhou, 450046, China. dwwang@henau.edu.cn.ORCID http://orcid.org/0000-0002-6230-8735
Min LiSchool of Computer Science and Engineering, Central South University, Changsha, 410083, China. limin@mail.csu.edu.cn.ORCID http://orcid.org/0000-0002-0188-1394
Feng ChenState Key Laboratory of High-Efficiency Production of Wheat-Maize Double Cropping /Agronomy College, Henan Agricultural University, Zhengzhou, 450046, China. fengchen@henau.edu.cn.ORCID http://orcid.org/0000-0002-7327-2969

Funding

National Natural Science Foundation of China (National Science Foundation of China) 62225209National Natural Science Foundation of China (National Science Foundation of China) U23A20191
6 · The paper itself

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.

Indexed as

TriticumAcetylationDisease ResistanceFusariumGene Expression Regulation, PlantGene Regulatory NetworksMultiomicsPhosphoproteinsPlant DiseasesPlant ProteinsProtein Processing, Post-TranslationalProteomicsPhosphoproteinsPlant Proteins

Identifiers

PMID40038279
PMCPMC11880479

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.