Evidence map›Paper›PMID 39673091›Full record

ArticleMolecular ecology2025

Microbiota Composition Associates With Mosquito Productivity Outcomes in Belowground Larval Habitats.

Serena Y Zhao, Andrew J Sommer, Dan Bartlett, Justin E Harbison, Patrick Irwin, Kerri L Coon

Abstract read
In one paragraph

Article in Molecular ecology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

6 authors.

Serena Y ZhaoDepartment of Bacteriology, University of Wisconsin-Madison, Madison, Wisconsin, USA.
Andrew J SommerDepartment of Bacteriology, University of Wisconsin-Madison, Madison, Wisconsin, USA.ORCID 0000-0001-7798-6435
Dan BartlettNorthwest Mosquito Abatement District, Wheeling, Illinois, USA.
Justin E HarbisonLoyola University Chicago, Maywood, Illinois, USA.
Patrick IrwinNorthwest Mosquito Abatement District, Wheeling, Illinois, USA.
Kerri L CoonDepartment of Bacteriology, University of Wisconsin-Madison, Madison, Wisconsin, USA.ORCID 0000-0002-2701-5195

Funding

Parasitology and Vector Biology Training ProgramT32AI007414 · NIAID · UNIVERSITY OF WISCONSIN-MADISON · PI Lyric Colleen Bartholomay · 1992 to 2026
$4.5M
National Science Foundation 2019368NIAID NIH HHS T32 AI007414U.S. Department of Agriculture 2018-67012-2991
6 · The paper itself

Abstract

Vector mosquitoes are well-adapted to habitats in urban areas, including belowground infrastructure such as stormwater systems. As a major source of larval habitat in population centers, control of larval populations in stormwater catch basins is an important tool for control of vector-borne disease. Larval development and adult phenotypes driving vectorial capacity in mosquitoes are modulated by the larval gut microbiota, which is recruited from the aquatic environment in which larvae develop. Laboratory studies have quantified microbe-mediated impacts on individual mosquito phenotypes, but more work is needed to characterise how microbiota variation shapes population-level outcomes. Here, we evaluated the relationship between habitat microbiota variation and mosquito population dynamics by simultaneously characterising microbiota diversity, water quality, and mosquito productivity in a network of stormwater catch basins in the Chicago metropolitan area. High throughput sequencing of 16S rRNA gene amplicons from water samples collected from 60 basins over an entire mosquito breeding season detected highly diverse bacterial communities that varied with measures of water quality and over time. In situ measurements of mosquito abundance in the same basins further varied by microbiota composition and the relative abundance of specific bacterial taxa. Altogether, these results illustrate the importance of habitat microbiota in shaping ecological processes that affect mosquito populations. They also lay the foundation for future studies to characterise the mechanisms by which specific bacterial taxa impact individual and population-level phenotypes related to mosquito vectorial capacity.

Indexed as

CulicidaeEcosystemLarvaMicrobiotaRNA, Ribosomal, 16SAnimalsBacteriaChicagoGastrointestinal MicrobiomeMosquito VectorsPopulation DynamicsWater QualityRNA, Ribosomal, 16SCulexinsect growthlarval habitatmicrobiomemosquito productivitystormwater

Identifiers

PMID39673091
PMCPMC11701876

What Socratic 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 Socratic graph.