Host and geography shape microbial communities in Kenyan mosquitoes: insights from metatranscriptomics

Mosquitoes harbor diverse microbial communities that influence their potential to transmit pathogens. However, the ecological drivers shaping these microbiomes, particularly in under-sampled regions like Africa, remain poorly resolved. We conducted a large-scale metatranscriptomic survey of 3,940 <i>Aedes</i> and <i>Culex</i> mosquitoes from diverse ecological zones across Kenya. Our analyses revealed that viruses dominated the overall transcriptome, while bacteria exhibited the greatest taxonomic richness. Geographic location emerged as the primary driver of microbial community structure, whereas host genus identity shaped virome diversity at local or city-level scales. <i>Culex</i> mosquitoes harbored higher viral richness, particularly in coastal regions, while <i>Aedes</i> supported more diverse bacterial assemblages. Microbial co-occurrence networks exhibited distinct topologies across hosts: <i>Culex</i> networks featured cross-domain interactions and viral keystone taxa, whereas <i>Aedes</i> networks were more cohesive and robust, centered on bacterial hubs. We identified 102 distinct viruses from 24 families, including 31 putative novel RNA viruses. Segment-resolved phylogenies revealed cryptic clades within <i>Bunyavirales, Picornavirales,</i> and other lineages. Collectively, our findings highlight the scale-dependent influences of geography and host identity on mosquito microbiomes in East Africa and demonstrate the utility of metatranscriptomics in uncovering hidden microbial diversity and ecological interactions. These insights provide a foundation for ecologically informed arthropod vector surveillance and microbiome-based intervention strategies.IMPORTANCEMosquitoes are more than just flying syringes; they are complex ecosystems hosting a variety of microbes. Understanding what shapes this microbial world inside mosquitoes is key to developing new control strategies. Our study of nearly 4,000 mosquitoes from Kenya reveals that where a mosquito lives matters most for its overall microbial makeup, but its genus dictates which viruses it carries. We discovered that different mosquito types have distinct microbial social networks: one type has a fragile network centered on viruses, while the other has a resilient network built around bacteria. This means that strategies to disrupt disease transmission by targeting mosquito microbes may need to be tailored to a specific mosquito genus. Our work provides a map of these microbial ecosystems, highlighting potential new viruses and offering insights for future public health surveillance and interventions.

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Publication Details

Journal
mSystems
Published
2026-01-20
DOI
https://doi.org/10.1128/msystems.01427-25
Primary Topic
Insect symbiosis and bacterial influences
Type
article
Field-Weighted Citation Impact
0.00
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article

Host and geography shape microbial communities in Kenyan mosquitoes: insights from metatranscriptomics

Bernard Agwanda, Nailou Zhang, Zhiming Yuan, Jun Dai et al.
mSystems
Insect symbiosis and bacterial influences
article

Host and geography shape microbial communities in Kenyan mosquitoes: insights from metatranscriptomics

Bernard Agwanda, Nailou Zhang, Zhiming Yuan, Jun Dai, Raphael Nyaruaba, Paul Kibaba, Evans Atoni, Zhenhua Zheng, Han Xia, Kibet Shadrack, Fei Wang
article en

Abstract

Mosquitoes harbor diverse microbial communities that influence their potential to transmit pathogens. However, the ecological drivers shaping these microbiomes, particularly in under-sampled regions like Africa, remain poorly resolved. We conducted a large-scale metatranscriptomic survey of 3,940 <i>Aedes</i> and <i>Culex</i> mosquitoes from diverse ecological zones across Kenya. Our analyses revealed that viruses dominated the overall transcriptome, while bacteria exhibited the greatest taxonomic richness. Geographic location emerged as the primary driver of microbial community structure, whereas host genus identity shaped virome diversity at local or city-level scales. <i>Culex</i> mosquitoes harbored higher viral richness, particularly in coastal regions, while <i>Aedes</i> supported more diverse bacterial assemblages. Microbial co-occurrence networks exhibited distinct topologies across hosts: <i>Culex</i> networks featured cross-domain interactions and viral keystone taxa, whereas <i>Aedes</i> networks were more cohesive and robust, centered on bacterial hubs. We identified 102 distinct viruses from 24 families, including 31 putative novel RNA viruses. Segment-resolved phylogenies revealed cryptic clades within <i>Bunyavirales, Picornavirales,</i> and other lineages. Collectively, our findings highlight the scale-dependent influences of geography and host identity on mosquito microbiomes in East Africa and demonstrate the utility of metatranscriptomics in uncovering hidden microbial diversity and ecological interactions. These insights provide a foundation for ecologically informed arthropod vector surveillance and microbiome-based intervention strategies.IMPORTANCEMosquitoes are more than just flying syringes; they are complex ecosystems hosting a variety of microbes. Understanding what shapes this microbial world inside mosquitoes is key to developing new control strategies. Our study of nearly 4,000 mosquitoes from Kenya reveals that where a mosquito lives matters most for its overall microbial makeup, but its genus dictates which viruses it carries. We discovered that different mosquito types have distinct microbial social networks: one type has a fragile network centered on viruses, while the other has a resilient network built around bacteria. This means that strategies to disrupt disease transmission by targeting mosquito microbes may need to be tailored to a specific mosquito genus. Our work provides a map of these microbial ecosystems, highlighting potential new viruses and offering insights for future public health surveillance and interventions.

mSystemsVol. 11(2)
Chinese Academy of Sciences (CN), Jomo Kenyatta University of Agriculture and Technology (KE), Wuhan Institute of Virology (CN), National Museums of Kenya (KE), State Key Laboratory of Respiratory Disease (CN), University of Chinese Academy of Sciences (CN), University of Guelph (CA)
Life below water
Openalex Percentile: Top 85%
Insect symbiosis and bacterial influences
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