Evidence map›Paper›PMID 41787564›Full record

ArticleMicrobiome2026

Microbiome eco-evolution of cultivated and wild rice species across the genus Oryza and its importance in supporting rice growth.

Fei Luo, Yicong Cai, Yujie Cui, Xiangyang He, Jiawang Xu, Wanqiu Tang, Xiaoqing Wang, Yaohui Cai, Hongwei Xie, Wei Chen and 2 more

Abstract read
In one paragraph

Article in Microbiome, 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. Review
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.

Fei Luo *School of Life Sciences, Jiangxi Province Key Laboratory of Drug Target Discovery and Validation, Nanchang University, Nanchang, China.
Yicong Cai *Ministry of Education Key Laboratory of Crop Physiology, Ecology and Genetic Breeding, Jiangxi Agricultural University, Nanchang, China.
Yujie CuiSchool of Life Sciences, Jiangxi Province Key Laboratory of Drug Target Discovery and Validation, Nanchang University, Nanchang, China.
Xiangyang HeSchool of Life Sciences, Jiangxi Province Key Laboratory of Drug Target Discovery and Validation, Nanchang University, Nanchang, China.
Jiawang XuSchool of Life Sciences, Jiangxi Province Key Laboratory of Drug Target Discovery and Validation, Nanchang University, Nanchang, China.
Wanqiu TangSchool of Life Sciences, Jiangxi Province Key Laboratory of Drug Target Discovery and Validation, Nanchang University, Nanchang, China.
Xiaoqing WangSchool of Life Sciences, Jiangxi Province Key Laboratory of Drug Target Discovery and Validation, Nanchang University, Nanchang, China.
Yaohui CaiJiangxi Super-Rice Research and Development Center, Jiangxi Academy of Agricultural Sciences, Nanchang, China.
Hongwei XieJiangxi Super-Rice Research and Development Center, Jiangxi Academy of Agricultural Sciences, Nanchang, China.
Wei ChenJiangxi Super-Rice Research and Development Center, Jiangxi Academy of Agricultural Sciences, Nanchang, China.
Wenzhuo LiSchool of Life Sciences, Jiangxi Province Key Laboratory of Drug Target Discovery and Validation, Nanchang University, Nanchang, China.
Xia DingSchool of Life Sciences, Jiangxi Province Key Laboratory of Drug Target Discovery and Validation, Nanchang University, Nanchang, China. dingxia97@ncu.edu.cn.

Funding

Key Project of Jiangxi Natural Science Foundation 20232ACB205006National Natural Science Foundation of China 32260023, 31560041the earmarked fund for the China Agriculture Research System CARS-01-09
6 · The paper itself

Abstract

backgroundCrop wild relatives and their microbiomes are essential for sustainable crop production. However, the co-evolution of wild rice species and their microbiomes remains poorly understood. Herein, we investigated microbiome assembly across 17 wild rice and one cultivated rice species under controlled conditions spanning ~15 million years of evolution.

resultsOur data reveal distinct eco-evolutionary patterns for bacteria and fungi. Host divergence time was the predominant driver of root microbiota structure, outweighing polyploidy and life cycle, and exerted a stronger effect on bacteria than fungi. Bacterial community exhibited a significant phylosymbiosis with its host, but fungi did not. Over evolutionary time, bacterial diversity decreased while phylogenetic clustering increased. Deterministic and stochastic processes co-drove bacteria assembly, whereas stochastic processes strongly drove fungi assembly. Potentially functional taxa, including nitrogen-fixing and methane-cycle bacteria, were differentially enriched across evolutionary time and polyploidization events. Notably, co-speciating bacteria better predicted grain weight than fungi, with core species making a major contribution. Using a synthetic community (SynCom) derived from the wild rice core microbiome and four nitrogen-fixing strains enriched in early- and medium-diverging Oryza species, we demonstrated that the SynCom strongly promoted rice growth, with the removal of key members markedly reducing its impact.

conclusionsThese results reveal co-phylogenetic patterns between Oryza and root-associated bacteria, highlighting the closer functional linkage between rice traits and bacteria than fungi, likely due to their co-evolution. Our findings provide new insights into crop-microbiome symbiosis from an eco-evolutionary perspective and underscore the importance of co-speciating microbiomes from wild relatives in supporting crop growth. Video Abstract.

Indexed as

BacteriaFungiMicrobiotaOryzaBiological EvolutionNitrogen FixationPhylogenyPlant RootsRNA, Ribosomal, 16SSymbiosisRNA, Ribosomal, 16SCore microbiomeCrop microbiomeEco-evolutionSynComWild rice

Identifiers

PMID41787564
PMCPMC12973805

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.