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Microbiota composition associates with mosquito productivity outcomes in belowground larval habitats

dataset
posted on 2025-06-25, 02:00 authored by University of Wisconsin-Madison
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 characterize how microbiota variation shapes population-level outcomes. Here, we evaluated the relationship between habitat microbiota variation and mosquito population dynamics by simultaneously characterizing 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 measured 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 characterize the mechanisms by which specific bacterial taxa impact individual and population-level phenotypes related to mosquito vectorial capacity.

Funding

NSF: DGE-1747503

USDA: 2018-67012-2991

NIH: 5T32AI007414-27

WARF

NSF: 2019368

History

Data contact name

BioProject Curation Staff

Publisher

National Center for Biotechnology Information

Temporal Extent Start Date

2024-06-24

Theme

  • Non-geospatial

ISO Topic Category

  • biota

National Agricultural Library Thesaurus terms

sequence analysis

Pending citation

  • No

Public Access Level

  • Public

Accession Number

PRJNA1127658

Preferred dataset citation

It is recommended to cite the accession numbers that are assigned to data submissions, e.g. the GenBank, WGS or SRA accession numbers. If individual BioProjects need to be referenced, state that "The data have been deposited with links to BioProject accession number PRJNA1127658 in the NCBI BioProject database (https://www.ncbi.nlm.nih.gov/bioproject/)."

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