Evidence map›Paper›PMID 42098626›Full record

ArticleBMC plant biology2026

Integrated transcriptomic and metabolomic analysis revealed the response of resistant variety Zhonghua 6 to the infection of Ralstonia solanacearum in peanut.

Ping Yang, Qian Yang, Yingying Chang, Jihua Li, Rupei Chen, Yohannes Gelaye, Nian Liu, Li Huang, Xiaojing Zhou, Weigang Chen and 6 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. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

16 authors.

Ping YangKey Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences (CAAS), Wuhan, 430062, China.
Qian YangState Key Laboratory for Biology of Plant Disease and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Science (CAAS), Beijing, 100193, China.
Yingying ChangKey Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences (CAAS), Wuhan, 430062, China.
Jihua LiKey Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences (CAAS), Wuhan, 430062, China.
Rupei ChenKey Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences (CAAS), Wuhan, 430062, China.
Yohannes GelayeKey Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences (CAAS), Wuhan, 430062, China.
Nian LiuKey Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences (CAAS), Wuhan, 430062, China.
Li HuangKey Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences (CAAS), Wuhan, 430062, China.
Xiaojing ZhouKey Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences (CAAS), Wuhan, 430062, China.
Weigang ChenKey Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences (CAAS), Wuhan, 430062, China.
Bolun YuKey Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences (CAAS), Wuhan, 430062, China.
Yingbin DingKey Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences (CAAS), Wuhan, 430062, China.
Huifang JiangKey Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences (CAAS), Wuhan, 430062, China.
Boshou LiaoKey Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences (CAAS), Wuhan, 430062, China.
Yong LeiKey Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences (CAAS), Wuhan, 430062, China.
Huaiyong LuoKey Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture, Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences (CAAS), Wuhan, 430062, China. huaiyongluo@caas.cn.

Funding

Agricultural Science and Technology Innovation Program of the Chinese Academy of Agricultural Sciences CAAS-ASTIP-2021-OCRICentral Public-interest Scientific Institution Basal Research Fund, Chinese Academy of Fishery Sciences Y2025YC112Earmarked Fund for China Agriculture Research System CARS-13Nanfan special project of CAAS YBXM2552National Natural Science Foundation of China 32171997 and 32341039Natural Science Foundation of Hubei Province 2024AFA098
6 · The paper itself

Abstract

Peanut (Arachis hypogaea L.) is an important oil and economic crop, and its production has long been severely threatened by soil-borne bacterial wilt (BW) disease. However, the molecular mechanism of host resistance to it has not yet been systematically elucidated. In this study, the highly resistant peanut variety Zhonghua 6 was used as the research object. Through transcriptomic analysis, a total of 1,122 differentially expressed genes (DEGs) were identified between carefully designed treatment and control groups. WGCNA analysis led to the discovery of 14 hub genes, including two cytochrome P450 genes and a UGDH gene. Through metabolomic analysis, 1,614 differentially accumulated metabolites (DAMs) were identified, and 6-methylcoumarin, erucamide, and piceatannol were confirmed to inhibit the growth of R. solanacearum. Integrative transcriptomic and metabolomic analyses uncovered a comprehensive immune regulatory network consisted of genes involved in key pathways associated with R. solanacearum infection such as MAPK signaling, plant hormone signal transduction, phenylpropanoid biosynthesis, flavonoid biosynthesis, and ABC transporter. Overall, these results provide new insights into the molecular mechanisms governing peanut resistance to R. solanacearum, which might assist in the mining of resistance-related genes, developing of new disease control measures as well as breeding of novel disease-resistant cultivars in peanut.

Indexed as

ArachisDisease ResistancePlant DiseasesRalstonia solanacearumTranscriptomeGene Expression ProfilingMetabolomeMetabolomicsBacterial WiltMetabolomicPeanutRalstonia solanacearumTranscriptomic

Identifiers

PMID42098626
PMCPMC13335331

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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.