Evidence map›Paper›PMID 40783713›Full record

ArticleMicrobiome2025

Host metabolites explain microbiome variation between different rice genotypes.

Pin Su, Houxiang Kang, Qianze Peng, Weiye Peng, Shu'e Sun, Xiaohua Du, Chi Zhang, Ziling Lei, Lianyang Bai, Qianjun Tang and 3 more

Abstract read
In one paragraph

Article in Microbiome, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. 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

13 authors.

Pin Su *State Key Laboratory of Hybrid Rice and Institute of Plant Protection, Hunan Academy of Agricultural Sciences, Changsha, 410125, China.
Houxiang Kang *State Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing, 100193, China.
Qianze Peng *Yuelushan Laboratory, Changsha, 410016, China.
Weiye Peng *State Key Laboratory of Hybrid Rice and Institute of Plant Protection, Hunan Academy of Agricultural Sciences, Changsha, 410125, China.
Shu'e SunState Key Laboratory of Hybrid Rice and Institute of Plant Protection, Hunan Academy of Agricultural Sciences, Changsha, 410125, China.
Xiaohua DuState Key Laboratory of Hybrid Rice and Institute of Plant Protection, Hunan Academy of Agricultural Sciences, Changsha, 410125, China.
Chi ZhangLongping Branch, College of Biology, Hunan University, Changsha, 410082, China.
Ziling LeiLongping Branch, College of Biology, Hunan University, Changsha, 410082, China.
Lianyang BaiState Key Laboratory of Hybrid Rice and Institute of Plant Protection, Hunan Academy of Agricultural Sciences, Changsha, 410125, China.
Qianjun TangCollege of Plant Protection, Hunan Agricultural University, Changsha, 410128, China.
Yong LiuState Key Laboratory of Hybrid Rice and Institute of Plant Protection, Hunan Academy of Agricultural Sciences, Changsha, 410125, China. liuyong@hunaas.cn.
Tomislav CernavaSchool of Biological Sciences, Faculty of Environmental and Life Sciences, University of Southampton, Southampton, SO17 1 BJ, UK. t.cernava@soton.ac.uk.
Deyong ZhangState Key Laboratory of Hybrid Rice and Institute of Plant Protection, Hunan Academy of Agricultural Sciences, Changsha, 410125, China. zhangdeyong@hhrrc.ac.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPlants live in close association with microbial communities that support their health and growth. Previous research has indicated that the composition of these communities can differ between genotypes of the same plant species. Host-related factors causing this variation are mostly unknown. Microbiome genes, or M genes in short, are host genes that are involved in shaping the microbiome. We hypothesized that specific M genes are responsible for microbiome variation between rice genotypes and that it is connected to plant metabolites controlled by these genes.

resultsOur study was aimed at identifying plant metabolites driving genotype-specific microbiome assembly and establishing a link to host genetics. Targeted metabolite quantification was combined with microbiome profiling of the rice phyllosphere microbiome, association analyses on single-nucleotide polymorphism (SNP) level, and genetic modifications to validate microbiome-shaping effects of the discovered M genes. Targeted metabolite quantifications revealed that phenylpropanoid concentrations in rice leaves can substantially differ among 110 representative genotypes grown under the same, controlled conditions. Redundancy analyses (RDA) showed that these metabolites can explain 35.6% of the variance in their microbiomes. Further verification experiments resulted in the identification of two M genes. OsC4H2 and OsPAL06 are both plant genes with microbiome-shaping effects, mainly via their role in ferulic acid biosynthesis. Targeted gene mutation experiments confirm that distinct phyllosphere-associated bacterial groups are highly responsive to the discovered M genes.

conclusionThis study provides detailed insights into the links between host genetics and microbiome variation in plants. Knowledge about host genes that are in control of the microbiome paves the way for microbiome engineering and targeted plant breeding approaches. Video Abstract.

Indexed as

BacteriaMicrobiotaOryzaGenes, PlantGenotypePlant LeavesPlant ProteinsPolymorphism, Single NucleotidePlant ProteinsGenetic controlPhenylpropanoidsPlant genotypePlant metabolitesPlant microbiome

Identifiers

PMID40783713
PMCPMC12335145

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.