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Bacterial associations reveal spatial population dynamics in Anopheles gambiae mosquitoes

Bacterial associations reveal spatial population dynamics in Anopheles gambiae mosquitoes

Buck, Moritz, Nilsson, Louise K.J., Brunius, Carl, Dabiré, Roch K., Hopkins, Richard ORCID: 0000-0003-4935-5825 and Terenius, Olle (2016) Bacterial associations reveal spatial population dynamics in Anopheles gambiae mosquitoes. Scientific Reports, 6:22806. ISSN 2045-2322 (Print), 2045-2322 (Online) (doi:10.1038/srep22806)

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Abstract

The intolerable burden of malaria has for too long plagued humanity and the prospect of eradicating malaria is an optimistic, but reachable, target in the 21st century. However, extensive knowledge is needed about the spatial structure of mosquito populations in order to develop effective interventions against malaria transmission. We hypothesized that the microbiota associated with a mosquito reflects acquisition of bacteria in different environments. By analyzing the whole-body bacterial flora of An. gambiae mosquitoes from Burkina Faso by 16 S amplicon sequencing, we found that the different environments gave each mosquito a specific bacterial profile. In addition, the bacterial profiles provided precise and predicting information on the spatial dynamics of the mosquito population as a whole and showed that the mosquitoes formed clear local populations within a meta-population network. We believe that using microbiotas as proxies for population structures will greatly aid improving the performance of vector interventions around the world.

Item Type: Article
Additional Information: This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
Uncontrolled Keywords: Mosquito, Movement, Tracking
Faculty / Department / Research Group: Faculty of Engineering & Science > Natural Resources Institute > Pest Behaviour Research Group
Last Modified: 02 May 2017 02:14
Selected for GREAT 2016: GREAT a
Selected for GREAT 2017: GREAT a
Selected for GREAT 2018: None
URI: http://gala.gre.ac.uk/id/eprint/14709

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