Evidence map›Paper›PMID 41131658›Full record

ArticleMicrobiome2025

Reovirus infection results in rice rhizosphere microbial community reassembly through metabolite-mediated recruitment and exclusion.

Zhanbiao Li, Wandi Luo, Huiting Xie, Cuiping Mo, Bixia Qin, Yige Zhao, Xiao Chen, Songbai Zhang, Yaling Zhao, Mengcen Wang and 5 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 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. 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

15 authors.

Zhanbiao Li *Plant Protection Research Institute, Guangxi Academy of Agricultural Sciences, Guangxi Key Laboratory of Biology for Crop Diseases and Insect Pests, Key Laboratory of Green Prevention and Control on Fruits and Vegetables in South China, Ministry of Agriculture and Rural Affairs, Nanning, China.
Wandi Luo *Plant Protection Research Institute, Guangxi Academy of Agricultural Sciences, Guangxi Key Laboratory of Biology for Crop Diseases and Insect Pests, Key Laboratory of Green Prevention and Control on Fruits and Vegetables in South China, Ministry of Agriculture and Rural Affairs, Nanning, China.
Huiting Xie *Plant Protection Research Institute, Guangxi Academy of Agricultural Sciences, Guangxi Key Laboratory of Biology for Crop Diseases and Insect Pests, Key Laboratory of Green Prevention and Control on Fruits and Vegetables in South China, Ministry of Agriculture and Rural Affairs, Nanning, China.
Cuiping MoPlant Protection Research Institute, Guangxi Academy of Agricultural Sciences, Guangxi Key Laboratory of Biology for Crop Diseases and Insect Pests, Key Laboratory of Green Prevention and Control on Fruits and Vegetables in South China, Ministry of Agriculture and Rural Affairs, Nanning, China.
Bixia QinPlant Protection Research Institute, Guangxi Academy of Agricultural Sciences, Guangxi Key Laboratory of Biology for Crop Diseases and Insect Pests, Key Laboratory of Green Prevention and Control on Fruits and Vegetables in South China, Ministry of Agriculture and Rural Affairs, Nanning, China.
Yige ZhaoState Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Kaifeng, China.
Xiao ChenState Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Kaifeng, China.
Songbai ZhangCollege of Agriculture, Yangtze University, Jingzhou, China.
Yaling ZhaoCollege of Agriculture, Guangxi University, Nanning, China.
Mengcen WangState Key Laboratory of Rice Biology and Breeding, Institute of Pesticide and Environmental Toxicology, Zhejiang University, Hangzhou, China.
Yu YangCollege of Life Sciences and Oceanography, Shenzhen University, Shenzhen, China.
Jianhe CaiPlant Protection Research Institute, Guangxi Academy of Agricultural Sciences, Guangxi Key Laboratory of Biology for Crop Diseases and Insect Pests, Key Laboratory of Green Prevention and Control on Fruits and Vegetables in South China, Ministry of Agriculture and Rural Affairs, Nanning, China.
Baozhan WangDepartment of Microbiology, College of Life Sciences, Nanjing Agricultural University, Key Laboratory of Agricultural and Environmental Microbiology, Ministry of Agriculture and Rural Affairs, Nanjing, China. bzwang@njau.edu.cn.
Xu LiuDepartment of Microbiology, College of Life Sciences, Nanjing Agricultural University, Key Laboratory of Agricultural and Environmental Microbiology, Ministry of Agriculture and Rural Affairs, Nanjing, China. xliu@njau.edu.cn.
Yu ShiState Key Laboratory of Crop Stress Adaptation and Improvement, School of Life Sciences, Henan University, Kaifeng, China. yshi@henu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMicrobial assembly plays a critical role in ecosystem function and biodiversity. While numerous studies have explored the effect of abiotic factors on the belowground community assembly, much less is known about the role of biotic interactions, particularly viral infections, in shaping microbial communities. Southern rice black-streaked dwarf virus (SRBSDV), a member of the Fijivirus genus in the Reoviridae family, has caused severe yield losses in rice due to its rapid transmission. However, its specific effects on rhizosphere microbiota and the dynamics of microbial community changes have not been fully elucidated.

resultsBy leveraging metabolomics with amplicon and metagenomics, this study provided a comprehensive understanding of the effect of SRBSDV infection on the rhizosphere microbial community and their functions. The results revealed that SRBSDV invasion led to significant changes in rhizosphere metabolites and microbial assembly processes. Specifically, the estimated overdispersion of cations sharply decreased following viral infection, while anion levels decreased markedly during early infection and then increased rapidly after 15 days. Key taxa, such as methanotrophs (e.g., Methylomicrobium), nitrifiers (e.g., Nitrospira), and iron-cycling bacteria (e.g., Sideroxydans), not only increased in abundance but also showed strong involvement in the microbial assembly processes. These key microbes were closely linked to specific metabolites and organized into two distinct network modules. Both modules predominantly recruited beneficial microbes, but one module also actively excluded potentially harmful taxa (e.g., Salmonella), which could disrupt community stability. Further experiments with exogenous metabolites confirmed the vital role of quercetin in attracting beneficial microbes while repelling harmful ones.

conclusionThe findings indicate that arboviruses can strongly influence the belowground rhizosphere microbial assembly processes by modulating metabolite profiles to selectively recruit or exclude key microbial species. These taxa, in turn, play fundamental roles in rhizosphere functions. These insights lay the groundwork for strategies to enhance rice immunity against viral infections by managing the rhizosphere microbial community. Video Abstract.

Indexed as

BacteriaMicrobiotaOryzaPlant DiseasesReoviridaeRhizosphereMetabolomicsMetagenomicsSoil MicrobiologyAssembly mechanismsEcological networkMetabolitesMicrobesRice rhizosphereSouthern rice black-streaked dwarf virus

Identifiers

PMID41131658
PMCPMC12548189

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.