Evidence map›Paper›PMID 41194195›Full record

ArticleAnimal microbiome2025

Mosquito host background impacts microbiome-Zika virus interactions in field- and laboratory-reared Aedes aegypti.

Cintia Cansado-Utrilla, Miguel A Saldaña, George Golovko, Kamil Khanipov, Riley K Watson, Alexander L Wild, Laura E Brettell, Scott C Weaver, Eva Heinz, Grant L Hughes

Abstract read
In one paragraph

Article in Animal microbiome, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Cintia Cansado-Utrilla *Departments of Vector Biology and Tropical Disease Biology, Liverpool School of Tropical Medicine, Liverpool, UK.
Miguel A Saldaña *Mosquito and Vector Control Division, Harris County Public Health, Houston, TX, USA.
George GolovkoDepartment of Pharmacology and Toxicology, The University of Texas Medical Branch, Galveston, TX, USA.
Kamil KhanipovDepartment of Pharmacology and Toxicology, The University of Texas Medical Branch, Galveston, TX, USA.
Riley K WatsonDepartment of Pharmacology and Toxicology, The University of Texas Medical Branch, Galveston, TX, USA.
Alexander L WildDepartment of Integrative Biology, University of Texas, Austin, TX, USA.
Laura E BrettellDepartments of Vector Biology and Tropical Disease Biology, Liverpool School of Tropical Medicine, Liverpool, UK.
Scott C WeaverDepartment of Microbiology and Immunology, Institute for Human Infections and Immunity, University of Texas Medical Branch, Galveston, TX, USA.
Eva HeinzDepartments of Vector Biology and Clinical Sciences, Liverpool School of Tropical Medicine, Liverpool, UK.
Grant L HughesDepartments of Vector Biology and Tropical Disease Biology, Liverpool School of Tropical Medicine, Liverpool, UK. grant.hughes@lstmed.ac.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mosquito microbiota abundance and composition are modulated by a variety of factors, including pathogen exposure. The microbiome can also influence pathogen infection of the host and thus harbours considerable potential to impact transmission of pathogens. As such, there is a growing interest in using particular bacterial members of the microbiota for novel vector-control strategies. However, before novel microbiota-based approaches can move towards translation, a more complete understanding of the interactions between mosquitoes, their microbiome, and the pathogens they transmit, is required to better appreciate how variation in the microbiome of field mosquitoes affects these interactions. To examine the impact of the mosquito background and the associated diversity of bacterial microbiota within distinct hosts, we exposed several laboratory-reared and field-collected Aedes aegypti mosquito lines to Zika virus (ZIKV) and examined their bacterial load and composition in response to pathogen exposure and viral infection success. Intriguingly, we show that ZIKV exposure and infection had distinct impacts on microbiome composition and density within different mosquito lines. In one laboratory-reared line ZIKV exposure and infection reduced the bacterial load, while conversely in another line load was increased by the virus. Distinct responses of the microbiome were also seen in mosquitoes collected from the field. Sampling site-specific differences in the microbiome of mosquitoes were observed as virus infection altered microbiome alpha and beta diversities in one cohort, while in mosquitoes from other sampling sites, viral progression through the mosquito had minimal effect on the microbiome. We also identified bacterial taxa correlating with either ZIKV infection or a lack of infection. These taxa are potential candidates for future follow-up studies disentangling functional mechanisms and directionality of interactions. Overall, our study highlights that interactions between mosquito, virus, and microbiota are variable and context dependent, and that tripartite interactions among distinct mosquito cohorts and their microbiomes are not universal.

Identifiers

PMID41194195
PMCPMC12587736

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.