Evidence map›Paper›PMID 41678542›Full record

ArticlePLoS neglected tropical diseases2026

Bacterial community structure and diversity of common mosquito species in Chengdu: Insights from PacBio third-generation sequencing and public health implications.

Yifan Xing, Rong Lu, Wenjia Tian, Zelin Li, Wei Zhang, Kai Xu, Liangli Deng, Shuangfeng Fan

Abstract read
In one paragraph

Article in PLoS neglected tropical diseases, 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

8 authors.

Yifan XingChengdu Center for Disease Control and Prevention (Chengdu Institute of Health Supervision), Chengdu, China.ORCID https://orcid.org/0009-0000-1201-9698
Rong LuChengdu Center for Disease Control and Prevention (Chengdu Institute of Health Supervision), Chengdu, China.
Wenjia TianChengdu Center for Disease Control and Prevention (Chengdu Institute of Health Supervision), Chengdu, China.
Zelin LiInstitute of Zoology, Chinese Academy of Sciences, Beijing, China.
Wei ZhangChengdu Center for Disease Control and Prevention (Chengdu Institute of Health Supervision), Chengdu, China.
Kai XuChengdu Center for Disease Control and Prevention (Chengdu Institute of Health Supervision), Chengdu, China.
Liangli DengChengdu Center for Disease Control and Prevention (Chengdu Institute of Health Supervision), Chengdu, China.
Shuangfeng FanChengdu Center for Disease Control and Prevention (Chengdu Institute of Health Supervision), Chengdu, China.ORCID https://orcid.org/0000-0001-5535-5552

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mosquitoes, as critical vectors of diseases such as Japanese encephalitis, dengue fever, and yellow fever, pose significant public health risks in Chengdu, a subtropical city in southwestern China. The present study ecological surveillance and PacBio third-generation sequencing to characterize the symbiotic microbiota of four dominant mosquito species (Aedes albopictus, Culex pipiens quinquefasciatus, Culex tritaeniorhynchus, and Armigeres subalbatus) across urban and rural habitats. From 2020 to 2024, mosquito density monitoring revealed spatial heterogeneity(Aedes albopictus, Culex pipiens quinquefasciatus, Culex tritaeniorhynchus, and Anopheles sinensis), with outer ring areas exhibiting the highest density (34.69 mosquitoes per trap per night), while central urban zones had the lowest (3.60). Sequencing identified 717 high-quality Amplicon Sequence Variants (ASVs), with Aedes albopictus harboring the most unique bacterial species (191). Beta diversity analysis demonstrated distinct microbial clustering among species, driven by Pseudomonadota dominance (54.27-93.89%) and variations in secondary phyla (Bacteroidota, Campylobacterota). Functional prediction analysis via the Kyoto Encyclopedia of Genes and Genomes (KEGG) revealed significant disparities in the abundance of human disease-associated pathways across mosquito symbiotic microbiota (P = 0.049), with the disparities primarily observed in pathways related to bacterial, viral, and parasitic infections-categories of substantial public health relevance. Notably, Wolbachia (clade B) and Klebsiella variicola exhibited species-specific abundance patterns, underscoring their respective roles in potential pathogen suppression and public health risks. Unclassified taxa (norank_d__Bacteria, norank_p__Candidatus_Hydrogenedentes) clustered near novel mosquito-associated spirochetes, suggesting underexplored functional microbiota. This study establishes a foundational dataset for understanding mosquito-microbe interactions and inform the development of targeted strategies for mitigating vector-borne disease.

Indexed as

BacteriaCulicidaeMicrobiotaMosquito VectorsAedesAnimalsBiodiversityChinaHigh-Throughput Nucleotide SequencingPublic HealthSymbiosis

Identifiers

PMID41678542
PMCPMC12916057

What Socratic 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 Socratic graph.