Evidence map›Paper›PMID 42098874›Full record

ArticleMicrobiome2026

Geographic genetic divergence and ecological viral communities shape the virome of Chilo suppressalis.

Jia-Bao Lu, Ying Tian, Yi-Yuan Li, Yu-Hua Qi, Fang He, Peng-Peng Ren, Hai-Jian Huang, Ji-Chong Zhuo, Qing-Ling Hu, Gang Lu and 4 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. Not yet cited in PubMed.

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

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

14 authors.

Jia-Bao LuState Key Laboratory for Quality and Safety of Agro-Products, Key Laboratory of Biotechnology in Plant Protection of MARA, Key Laboratory of Green Plant Protection of Zhejiang Province, Institute of Plant Virology, Ningbo University, Ningbo, 315211, China.
Ying TianState Key Laboratory for Quality and Safety of Agro-Products, Key Laboratory of Biotechnology in Plant Protection of MARA, Key Laboratory of Green Plant Protection of Zhejiang Province, Institute of Plant Virology, Ningbo University, Ningbo, 315211, China.
Yi-Yuan LiState Key Laboratory for Quality and Safety of Agro-Products, Key Laboratory of Biotechnology in Plant Protection of MARA, Key Laboratory of Green Plant Protection of Zhejiang Province, Institute of Plant Virology, Ningbo University, Ningbo, 315211, China.
Yu-Hua QiState Key Laboratory for Quality and Safety of Agro-Products, Key Laboratory of Biotechnology in Plant Protection of MARA, Key Laboratory of Green Plant Protection of Zhejiang Province, Institute of Plant Virology, Ningbo University, Ningbo, 315211, China.
Fang HeState Key Laboratory for Quality and Safety of Agro-Products, Key Laboratory of Biotechnology in Plant Protection of MARA, Key Laboratory of Green Plant Protection of Zhejiang Province, Institute of Plant Virology, Ningbo University, Ningbo, 315211, China.
Peng-Peng RenState Key Laboratory for Quality and Safety of Agro-Products, Key Laboratory of Biotechnology in Plant Protection of MARA, Key Laboratory of Green Plant Protection of Zhejiang Province, Institute of Plant Virology, Ningbo University, Ningbo, 315211, China.
Hai-Jian HuangState Key Laboratory for Quality and Safety of Agro-Products, Key Laboratory of Biotechnology in Plant Protection of MARA, Key Laboratory of Green Plant Protection of Zhejiang Province, Institute of Plant Virology, Ningbo University, Ningbo, 315211, China.
Ji-Chong ZhuoState Key Laboratory for Quality and Safety of Agro-Products, Key Laboratory of Biotechnology in Plant Protection of MARA, Key Laboratory of Green Plant Protection of Zhejiang Province, Institute of Plant Virology, Ningbo University, Ningbo, 315211, China.
Qing-Ling HuState Key Laboratory for Quality and Safety of Agro-Products, Key Laboratory of Biotechnology in Plant Protection of MARA, Key Laboratory of Green Plant Protection of Zhejiang Province, Institute of Plant Virology, Ningbo University, Ningbo, 315211, China.
Gang LuState Key Laboratory for Quality and Safety of Agro-Products, Key Laboratory of Biotechnology in Plant Protection of MARA, Key Laboratory of Green Plant Protection of Zhejiang Province, Institute of Plant Virology, Ningbo University, Ningbo, 315211, China.
Qian-Zhuo MaoState Key Laboratory for Quality and Safety of Agro-Products, Key Laboratory of Biotechnology in Plant Protection of MARA, Key Laboratory of Green Plant Protection of Zhejiang Province, Institute of Plant Virology, Ningbo University, Ningbo, 315211, China.
Jian-Ping ChenState Key Laboratory for Quality and Safety of Agro-Products, Key Laboratory of Biotechnology in Plant Protection of MARA, Key Laboratory of Green Plant Protection of Zhejiang Province, Institute of Plant Virology, Ningbo University, Ningbo, 315211, China.
Jun-Min LiState Key Laboratory for Quality and Safety of Agro-Products, Key Laboratory of Biotechnology in Plant Protection of MARA, Key Laboratory of Green Plant Protection of Zhejiang Province, Institute of Plant Virology, Ningbo University, Ningbo, 315211, China.
Chuan-Xi ZhangState Key Laboratory for Quality and Safety of Agro-Products, Key Laboratory of Biotechnology in Plant Protection of MARA, Key Laboratory of Green Plant Protection of Zhejiang Province, Institute of Plant Virology, Ningbo University, Ningbo, 315211, China. chxzhang@zju.edu.cn.

Funding

the National Natural Science Foundation of China U21A20225the National Natural Science Foundation of China U23A6006
6 · The paper itself

Abstract

backgroundInsect-specific and insect-borne viruses (particularly RNA viruses) may pose a serious threat to global rice production. However, the effects of geographic genetic divergence and ecological viral communities in shaping insect viromes remain poorly understood. The striped stem borer, Chilo suppressalis-a notorious chewing pest widely distributed across China-serves as an ideal model to study RNA virus evolution and cross-species transmission dynamics in rice ecosystems.

resultsMeta-transcriptomic sequencing analysis of 48 C. suppressalis samples collected nationwide revealed four major geographic populations and identified 20 high-abundance viruses (15 novel). These include the widespread core virus Hangzhou sesamia inferens peribunyavirus 1 and Chilo suppressalis sedoreo-like virus 1, as well as several climate-adapted viruses that may represent extreme-environment specialists. Diversity analyses revealed that the geographic genetic divergence of C. suppressalis influences viral species composition but not the overall virome structure. Parallel sequencing of 5 Cotesia chilonis (endoparasitoid) samples revealed 8 high-abundance viruses (5 novel). Significant variations in distribution patterns, viral loads, and vsiRNA profiles within C. suppressalis-C. chilonis parasitic system suggested host-driven adaptive evolution of these viruses. Co-occurrence network analysis demonstrated that sympatric species (such as Sesamia inferens and rice planthoppers) and their host plant, rice, significantly influence C. suppressalis virome composition, highlighting cross-kingdom viral transmission dynamics.

conclusionsThis study elucidates the synergistic roles of geographical divergence and ecological viral communities in driving virome diversity in C. suppressalis. Our findings advance the understanding of virus-host coevolution in agricultural ecosystems and provide a framework for developing integrated strategies targeting both insect pests and their viral pathogens in rice cultivation. Video Abstract.

Indexed as

Insect VirusesMothsRNA VirusesViromeAnimalsChinaEcosystemGenetic VariationOryzaPhylogenyCotesia chilonisEcological networkGeographic populationMeta-transcriptomic sequencingSRNAStriped stem borerVirus

Identifiers

PMID42098874
PMCPMC13173878

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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.