Evidence map›Paper›PMID 41162857›Full record

ArticleBMC plant biology2025

Beyond genotype: the influence of developmental stage on rice rhizospheric microbiome-metabolome networks.

Yuanhui Liu, Chunmei Xu, Song Chen, Guang Chu, Kai Yu, Danying Wang

Abstract read
In one paragraph

Article in BMC plant biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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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

3 citing papers in PubMed.

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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

6 authors.

Yuanhui LiuState Key Laboratory of Rice Biology and Breeding, National Rice Research Institute, Hangzhou, Zhejiang, China.
Chunmei XuState Key Laboratory of Rice Biology and Breeding, National Rice Research Institute, Hangzhou, Zhejiang, China.
Song ChenState Key Laboratory of Rice Biology and Breeding, National Rice Research Institute, Hangzhou, Zhejiang, China.
Guang ChuState Key Laboratory of Rice Biology and Breeding, National Rice Research Institute, Hangzhou, Zhejiang, China.
Kai YuState Key Laboratory of Rice Biology and Breeding, National Rice Research Institute, Hangzhou, Zhejiang, China.
Danying WangState Key Laboratory of Rice Biology and Breeding, National Rice Research Institute, Hangzhou, Zhejiang, China. Wangdanying@caas.cn.

Funding

NIEHS NIH HHS 27306C2005the Central Public-interest Scientific Institution Basal Research Fund CPSIBRF-CNRRI-202410the National Rice Industry Technology System CARS-01the "Pioneer" and ''Leading Goose" Key R&D Program of Zhejiang 2023C02005-4the Young Scientists Fund of the National Natural Science Foundation of China 32201899
6 · The paper itself

Abstract

Rhizosphere microbiomes and metabolomes are influenced by host genotype and developmental stage. However, there has been limited research that simultaneously profiles the rhizosphere microbiome and metabolism of rice across different genotypes and developmental stages. Furthermore, the interactions between rhizosphere microbiomes and metabolism in various plant genotypes and developmental stages are not well understood. Here, we investigated the diversity and composition of rhizosphere microbial community and metabolism across three hybrid rice varieties and their respective parent lines during three developmental stages (tillering, heading, and mature) using amplicon sequencing and untargeted metabolomics analyses. Plant developmental stages and genotypes significantly influence the rhizosphere microbiome and metabolome, with the impact of developmental stages being more pronounced. The composition of microbial communities and metabolites in the rhizosphere exhibited significant differences between the tillering stage and other developmental stages, with these differences becoming less distinct as the growth period continued. Hybrid rice displayed heterosis characteristics in their rhizosphere microorganisms compared to their parent varieties, as reflected by the significant enrichment of microbial species and the enhanced potential for microbial interactions within the co-occurrence network. Moreover, the differential microorganisms between the tillering and heading stages showed significant correlations with differential metabolites and soil chemical properties, including total phosphorus (TP), available phosphorus (AP), and nitrate nitrogen (NN). Taken together, this study contributes to our understanding of plant-microbiota-metabolome associations and provides a foundation for developing beneficial plant microbiomes and compounds to promote sustainable agricultural production.

Indexed as

MetabolomeMicrobiotaOryzaRhizosphereSoil MicrobiologyGenotypeDevelopmental stageMetabarcordingMetabolomicsRice (Oryza sativa)Rice varieties

Identifiers

PMID41162857
PMCPMC12573989

What OpenQuestion holds

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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.