Evidence map›Paper›PMID 40376046›Full record

ArticleChina CDC weekly2025

Variations in the Bacterial Ecosystems of Mosquito Populations - Haikou and Sanya Cities, Hainan Province, China, 2019.

Xun Kang, Yanhong Wang, Rui Zheng, Rajaofera Mamy Jayne Nelly, Lin Liu, Siping Li, Xiaomei Sun, Le Kang, Nan Zhang, Zhen Zou and 1 more

Abstract read
In one paragraph

Article in China CDC weekly, 2025. 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

11 authors.

Xun Kang *NHC Key Laboratory of Tropical Disease Control, School of Tropical Medicine, Hainan Medical University, Haikou City, Hainan Province, China.
Yanhong Wang *State Key Laboratory of Integrated Management of Pest Insects and Rodents, Institute of Zoology, Chinese Academy of Sciences, Beijing, China.
Rui ZhengNHC Key Laboratory of Tropical Disease Control, School of Tropical Medicine, Hainan Medical University, Haikou City, Hainan Province, China.
Rajaofera Mamy Jayne NellyNHC Key Laboratory of Tropical Disease Control, School of Tropical Medicine, Hainan Medical University, Haikou City, Hainan Province, China.
Lin LiuNHC Key Laboratory of Tropical Disease Control, School of Tropical Medicine, Hainan Medical University, Haikou City, Hainan Province, China.
Siping LiNHC Key Laboratory of Tropical Disease Control, School of Tropical Medicine, Hainan Medical University, Haikou City, Hainan Province, China.
Xiaomei SunState Key Laboratory of Integrated Management of Pest Insects and Rodents, Institute of Zoology, Chinese Academy of Sciences, Beijing, China.
Le KangState Key Laboratory of Integrated Management of Pest Insects and Rodents, Institute of Zoology, Chinese Academy of Sciences, Beijing, China.
Nan ZhangNHC Key Laboratory of Tropical Disease Control, School of Tropical Medicine, Hainan Medical University, Haikou City, Hainan Province, China.
Zhen ZouCAS Center for Excellence in Biotic Interactions, University of Chinese Academy of Sciences, Beijing, China.
Qianfeng XiaNHC Key Laboratory of Tropical Disease Control, School of Tropical Medicine, Hainan Medical University, Haikou City, Hainan Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: This study explores the midgut microbiota of mosquitoes in Haikou and Sanya cities, regions critical for understanding vector-borne disease dynamics in Hainan Province, China. It provides baseline data on microbial composition and examines their potential role in influencing mosquito biology and vector competence, while highlighting the need for further research into their association with vector-borne viral infections. Methods: Adult mosquitoes were collected using light traps and human bait methods. Species identification was conducted through morphological examination and DNA barcoding using the cytochrome c oxidase subunit 1 gene (cox1). The V3-V4 hypervariable regions of the microbial 16S ribosomal RNA (rRNA) gene were sequenced using high-throughput methods to investigate the midgut microbiota. Statistical analyses, including Alpha and Beta diversity assessments of the sequencing results, were performed using SPSS 21.0 and R version 3.11. Results: The predominant mosquito species identified were Conclusions: This study revealed significant geographic differences in the midgut microbiota of mosquitoes from Haikou and Sanya, providing foundational data for understanding their potential impact on mosquito biology and disease transmission. While the direct relationship between these microbial variations and vector-borne disease dynamics requires further investigation, these findings underscore the importance of mosquito microbiota research as part of broader strategies to mitigate vector-borne disease risks.

Indexed as

16S rRNABacterial diversityMicrobiotaMosquitoes

Identifiers

PMID40376046
PMCPMC12075510

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Registered trials

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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.