Evidence map›Paper›PMID 41667971›Full record

ArticleBMC plant biology2026

Integrated omics reveal phenylpropanoid biosynthesis as a key defense pathway against Meloidogyne incognita in Cucumis metuliferus.

Yaru Wang, Mingming Dong, Min Feng, Li Shan, Xi Zhao, Tiantian Pei, Yingqi Shi, Yifan Xu, Yibing Zhao, Hao Xue and 5 more

Abstract read
In one paragraph

Article in BMC plant biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

15 authors.

Yaru WangDepartment of Vegetable Science, College of Horticulture, China Agricultural University, Beijing, 100193, China.
Mingming DongDepartment of Vegetable Science, College of Horticulture, China Agricultural University, Beijing, 100193, China.
Min FengDepartment of Vegetable Science, College of Horticulture, China Agricultural University, Beijing, 100193, China.
Li ShanDepartment of Vegetable Science, College of Horticulture, China Agricultural University, Beijing, 100193, China.
Xi ZhaoDepartment of Vegetable Science, College of Horticulture, China Agricultural University, Beijing, 100193, China.
Tiantian PeiDepartment of Vegetable Science, College of Horticulture, China Agricultural University, Beijing, 100193, China.
Yingqi ShiDepartment of Vegetable Science, College of Horticulture, China Agricultural University, Beijing, 100193, China.
Yifan XuDepartment of Vegetable Science, College of Horticulture, China Agricultural University, Beijing, 100193, China.
Yibing ZhaoDepartment of Vegetable Science, College of Horticulture, China Agricultural University, Beijing, 100193, China.
Hao XueDepartment of Vegetable Science, College of Horticulture, China Agricultural University, Beijing, 100193, China.
Xinyue MaDepartment of Vegetable Science, College of Horticulture, China Agricultural University, Beijing, 100193, China.
Qian LiuDepartment of Plant Pathology, College of Plant Protection, China Agricultural University, Beijing, 100193, China.
Huaimeng ChenAgricultural Service Center of Changping District, Beijing, 102200, P. R. China.
Huazhong RenDepartment of Vegetable Science, College of Horticulture, China Agricultural University, Beijing, 100193, China. renhuazhong@cau.edu.cn.
Xingwang LiuDepartment of Vegetable Science, College of Horticulture, China Agricultural University, Beijing, 100193, China. liuxw01@cau.edu.cn.

Funding

National Key Research and Development Program 'Strategic Science and Technology Innovation Cooperation' Key Special Project 2023YFE0206900
6 · The paper itself

Abstract

The southern root-knot nematode (Meloidogyne incognita, M. incognita) poses a severe threat to cucurbit production, yet no resistant germplasm exists among cultivated species. Although Cucumis metuliferus (C. metuliferus), a wild Cucurbitaceae species, exhibits resistance to M. incognita and prior transcriptomic studies have identified key responsive genes and signaling pathways, an integrated understanding of the dynamic transcriptional and metabolic reprogramming is still lacking. Here, an integrated transcriptomic and metabolomic analysis was performed on resistant (CM064) and susceptible (CM083) C. metuliferus accessions during M. incognita infection. The resistant CM064 exhibited distinct temporal shifts in defense strategy: early-stage activation of defense pathways (hormone signaling and chitin response) coupled with repression of cell wall biogenesis, and late-stage upregulation of cell wall reinforcement, redox homeostasis, and restriction of phloem transport. In contrast, the susceptible CM083 showed progressive susceptibility, characterized by early-stage modulation of cytoskeletal activity and defense suppression, followed by late-stage upregulation of amino acid biosynthesis and downregulation of serine/threonine kinase signaling. Multi-omics integration revealed a sustained activation of the phenylpropanoid biosynthesis pathway during infection. Ectopic overexpression of Cinnamate 4-hydroxylase (C4H) was associated with significant resistance to M. incognita in cucumber. Collectively, this study provides insights into the multi-layered defense mechanism of C. metuliferus against M. incognita and supports the important role of phenylpropanoid pathway activation in nematode resistance, suggesting a potential strategy for crop improvement.

Indexed as

CucumisPlant DiseasesPropanolsTylenchoideaAnimalsDisease ResistanceMultiomicsTranscriptomePropanolsCinnamate 4-hydroxylaseCucumis metuliferusMeloidogyne incognitaMulti-omicsPhenylpropanoid pathway

Identifiers

PMID41667971
PMCPMC13015142

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.