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Mosquito vector‐associated microbiota: Metabarcoding bacteria and eukaryotic symbionts across habitat types in Thailand endemic for dengue and other arthropod‐borne diseases
Authors:Panpim Thongsripong  James Angus Chandler  Amy B Green  Pattamaporn Kittayapong  Bruce A Wilcox  Durrell D Kapan  Shannon N Bennett
Institution:1. Department of Microbiology, Institute of Biodiversity Sciences and Sustainability, California Academy of Sciences, San Francisco, CA, USA;2. Department of Tropical Medicine, Medical Microbiology, and Pharmacology, University of Hawai'i at Manoa, Honolulu, HI, USA;3. Department of Microbiology, University of Hawai'i at Manoa, Honolulu, HI, USA;4. Center of Excellence for Vectors and Vector‐Borne Diseases and Department of Biology, Faculty of Science, Mahidol University at Salaya, Nakhon Pathom, Thailand;5. Global Health Asia and Integrative Research and Education Program, Faculty of Public Health, Mahidol University, Bangkok, Thailand;6. Department of Entomology and Center for Comparative Genomics, Institute of Biodiversity Sciences and Sustainability, California Academy of Sciences, San Francisco, CA, USA;7. Center for Conservation and Research Training, Pacific Biosciences Research Center, University of Hawai'i at Manoa, Honolulu, HI, USA
Abstract:Vector‐borne diseases are a major health burden, yet factors affecting their spread are only partially understood. For example, microbial symbionts can impact mosquito reproduction, survival, and vectorial capacity, and hence affect disease transmission. Nonetheless, current knowledge of mosquito‐associated microbial communities is limited. To characterize the bacterial and eukaryotic microbial communities of multiple vector species collected from different habitat types in disease endemic areas, we employed next‐generation 454 pyrosequencing of 16S and 18S rRNA amplicon libraries, also known as metabarcoding. We investigated pooled whole adult mosquitoes of three medically important vectors, Aedes aegypti, Ae. albopictus, and Culex quinquefasciatus, collected from different habitats across central Thailand where we previously characterized mosquito diversity. Our results indicate that diversity within the mosquito microbiota is low, with the majority of microbes assigned to one or a few taxa. Two of the most common eukaryotic and bacterial genera recovered (Ascogregarina and Wolbachia, respectively) are known mosquito endosymbionts with potentially parasitic and long evolutionary relationships with their hosts. Patterns of microbial composition and diversity appeared to differ by both vector species and habitat for a given species, although high variability between samples suggests a strong stochastic element to microbiota assembly. In general, our findings suggest that multiple factors, such as habitat condition and mosquito species identity, may influence overall microbial community composition, and thus provide a basis for further investigations into the interactions between vectors, their microbial communities, and human‐impacted landscapes that may ultimately affect vector‐borne disease risk.
Keywords:biodiversity  metabarcoding  microbiota  mosquito  vector  vector‐borne diseases
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