Evidence map›Paper›PMID 40029419›Full record

ArticlePlanta2025

Comparative transcriptomics of susceptible and resistant Cucumis metuliferus upon Meloidogyne incognita infection.

Xiaoxiao Xie, Junru Lu, Runmao Lin, Jian Ling, Zhenchuan Mao, Jianlong Zhao, Qihong Yang, Shijie Zheng, Yan Li, Richard G F Visser and 2 more

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in Planta, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. 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

12 authors.

Xiaoxiao Xie *Shanghai Key Laboratory of Protected Horticultural Technology, Horticulture Research Institute, Shanghai Academy of Agricultural Sciences, Shanghai, 201403, China.ORCID http://orcid.org/0009-0009-0897-8410
Junru Lu *State Key Laboratory of Vegetable Biobreeding, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, No.12 Zhongguancun South Street, Haidian District, Beijing, 100081, China.
Runmao LinKey Laboratory of Green Prevention and Control of Tropical Plant Diseases and Pests, Ministry of Education, School of Plant Protection, Hainan University, Haikou, 570228, China.
Jian LingState Key Laboratory of Vegetable Biobreeding, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, No.12 Zhongguancun South Street, Haidian District, Beijing, 100081, China.
Zhenchuan MaoState Key Laboratory of Vegetable Biobreeding, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, No.12 Zhongguancun South Street, Haidian District, Beijing, 100081, China.
Jianlong ZhaoState Key Laboratory of Vegetable Biobreeding, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, No.12 Zhongguancun South Street, Haidian District, Beijing, 100081, China.
Qihong YangState Key Laboratory of Vegetable Biobreeding, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, No.12 Zhongguancun South Street, Haidian District, Beijing, 100081, China.
Shijie ZhengState Key Laboratory of Vegetable Biobreeding, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, No.12 Zhongguancun South Street, Haidian District, Beijing, 100081, China.
Yan LiState Key Laboratory of Vegetable Biobreeding, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, No.12 Zhongguancun South Street, Haidian District, Beijing, 100081, China.
Richard G F VisserPlant Breeding, Wageningen University & Research, Droevendaalsesteeg 1, 6708 PB, Wageningen, The Netherlands.
Yuling BaiPlant Breeding, Wageningen University & Research, Droevendaalsesteeg 1, 6708 PB, Wageningen, The Netherlands.
Bingyan XieState Key Laboratory of Vegetable Biobreeding, Institute of Vegetables and Flowers, Chinese Academy of Agricultural Sciences, No.12 Zhongguancun South Street, Haidian District, Beijing, 100081, China. xiebingyan@caas.cn.

Funding

Innovative Research Group Project of the National Natural Science Foundation of China 32372508National Major Science and Technology Projects of China NK20220904
6 · The paper itself

Abstract

MAIN

conclusionComparative transcriptomics has identified several candidate genes contributing to the resistance of Cucumis metuliferus against Meloidogyne incognita. The Southern root-knot nematode (Meloidogyne incognita) is a significant threat to Cucurbitaceae crops. The African horned melon (Cucumis metuliferus), a wild relative, exhibits high resistance to this nematode. To explore the resistance mechanism, phenotypic analyses were conducted on a susceptible inbred line (CM27) and a resistant inbred line (CM3). CM3 exhibited enhanced root biomass and significantly higher resistance compared to CM27, with poor nematode development observed in CM3 roots. Transcriptomic profiling at multiple post-infection time points revealed 2243 and 3700 differentially expressed genes (DEGs) in CM3 and CM27, respectively. Among these, the top ten DEGs upregulated exclusively in CM3 were functionally analyzed using virus-induced gene silencing (VIGS). Silencing of EVM0019904 or EVM0017058 in CM3 led to susceptibility to M. incognita. These findings provide novel insights into the resistance mechanisms of M. incognita in C. metuliferus and offer potential resources for breeding nematode-resistant Cucurbitaceae crops.

Indexed as

CucumisDisease ResistancePlant DiseasesTranscriptomeTylenchoideaAnimalsGene Expression ProfilingGene Expression Regulation, PlantPlant RootsComparative transcriptomicsCucumis metuliferusMeloidogyne incognitaVIGS

Identifiers

PMID40029419

What OpenQuestion holds

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Registered trials

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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.