Evidence map›Paper›PMID 36938972›Full record

ArticleMolecular plant pathology2023

Integrative transcriptome and proteome analysis reveals maize responses to Fusarium verticillioides infection inside the stalks.

Lili Zhang, Mengwei Hou, Xingrui Zhang, Yanyong Cao, Suli Sun, Zhendong Zhu, Shengbo Han, Yanhui Chen, Lixia Ku, Canxing Duan

Open access · goldAbstract read
In one paragraph

Article in Molecular plant pathology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
9.9field-weighted citation impact, top 2% of its field
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

20 citing papers in PubMed, 25 citations in OpenAlex.

  1. From Defense Executor to Engineering Target: Harnessing Lignin for Crop Resistance.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  2. Article
  3. Article
  4. Review
  5. Transcriptomic Analysis ofMicroorganisms · 2026
    Article
  6. Review
  7. Integrated Proteomic and Metabolomic Profiling of the Secretome ofJournal of fungi (Basel, Switzerland) · 2025
    Article
  8. Gene Mapping and Genetic Analysis of Maize Resistance to Stalk Rot.International journal of molecular sciences · 2025
    Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Frontiers in microbiology · 2023
    Article
  20. Article
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

10 authors at 3 institutions in 1 country.

Lili ZhangInstitute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China.
Mengwei HouInstitute of Cereal Crops, Henan Academy of Agricultural Sciences, Zhengzhou, China.
Xingrui ZhangInstitute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China.
Yanyong CaoInstitute of Cereal Crops, Henan Academy of Agricultural Sciences, Zhengzhou, China.
Suli SunInstitute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China.
Zhendong ZhuInstitute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China.
Shengbo HanInstitute of Cereal Crops, Henan Academy of Agricultural Sciences, Zhengzhou, China.
Yanhui ChenCollege of Agronomy, Henan Agricultural University, Zhengzhou, China.
Lixia KuCollege of Agronomy, Henan Agricultural University, Zhengzhou, China.
Canxing DuanInstitute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China.ORCID 0000-0002-6534-1426
Chinese Academy of Agricultural Sciences · CNHenan Academy of Agricultural Sciences · CNHenan Agricultural University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fusarium stalk rot caused by Fusarium verticillioides is one of the most devastating diseases of maize that causes significant yield losses and poses potential security concerns for foods worldwide. The underlying mechanisms of maize plants regulating defence against the disease remain poorly understood. Here, integrative proteomic and transcriptomic analyses were employed to identify pathogenesis-related protein genes by comparing differentially expressed proteins (DEPs) and differentially expressed genes (DEGs) in maize stalks after inoculation with F. verticillioides. Functional enrichment analysis showed that DEGs and DEPs were mainly enriched in glutathione metabolism, starch and sucrose metabolism, amino sugar and nucleotide sugar metabolism, linoleic acid metabolism, and phenylpropanoid biosynthesis. Fourteen DEGs and DEGs that were highly elevated after inoculation with F. verticillioides were confirmed with parallel reaction monitoring and reverse transcription-quantitative PCR, demonstrating the accountability and reliability of proteomic and transcriptomic data. We also assessed the potential roles of defence-related genes ZmCTA1, ZmWIP1, and ZmLOX2, identified from the multi-omics analysis, during the process of F. verticillioides infection through virus-induced gene silencing. The elevation of stalk rot symptomatic characteristics in the silenced plants revealed their contribution to resistance. We further functionally characterized the roles of ZmLOX2 expression in the defence response of maize plants conditioning fungal invasion via the salicylic acid-dependent pathway. Collectively, this study provides a comprehensive analysis of transcriptome and proteome of maize stalks following F. verticillioides inoculation, and defence-related genes that could inform selection of new genes as targets in breeding strategies.

Indexed as

FusariumTranscriptomeProteomeProteomicsReproducibility of ResultsZea maysProteomeFusarium verticillioides stalk rotiTRAQLOX2maizeRNA sequencing

Identifiers

PMID36938972
PMCPMC10257047
OpenAlexW4327899802

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.