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The Bee Microbiome: Impact on Bee Health and Model for Evolution and Ecology of Host-Microbe Interactions
Univ Lausanne, Dept Fundamental Microbiol, Lausanne, Switzerland..
Yale Univ, Ecol & Evolutionary Biol, New Haven, CT USA.;Univ Texas Austin, Dept Integrat Biol, Austin, TX 78712 USA..
Univ Calif Riverside, Dept Entomol, Riverside, CA 92521 USA..
USDA, Carl Hayden Bee Res Ctr, Tucson, AZ USA..
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2016 (English)In: mBio, ISSN 2161-2129, E-ISSN 2150-7511, Vol. 7, no 2, e02164Article, review/survey (Refereed) Published
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Abstract [en]

As pollinators, bees are cornerstones for terrestrial ecosystem stability and key components in agricultural productivity. All animals, including bees, are associated with a diverse community of microbes, commonly referred to as the micro biome. The bee micro biome is likely to be a crucial factor affecting host health. However, with the exception of a few pathogens, the impacts of most members of the bee microbiome on host health are poorly understood. Further, the evolutionary and ecological forces that shape and change the microbiome are unclear. Here, we discuss recent progress in our understanding of the bee microbiome, and we present challenges associated with its investigation. We conclude that global coordination of research efforts is needed to fully understand the complex and highly dynamic nature of the interplay between the bee micro biome, its host, and the environment. High-throughput sequencing technologies are ideal for exploring complex biological systems, including host-microbe interactions. To maximize their value and to improve assessment of the factors affecting bee health, sequence data should be archived, curated, and analyzed in ways that promote the synthesis of different studies. To this end, the BeeBiome consortium aims to develop an online database which would provide reference sequences, archive metadata, and host analytical resources. The goal would be to support applied and fundamental research on bees and their associated microbes and to provide a collaborative framework for sharing primary data from different research programs, thus furthering our understanding of the bee microbiome and its impact on pollinator health.

Place, publisher, year, edition, pages
2016. Vol. 7, no 2, e02164
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Microbiology
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URN: urn:nbn:se:uu:diva-300136DOI: 10.1128/mBio.02146.15ISI: 000377768700029OAI: oai:DiVA.org:uu-300136DiVA: diva2:950861
Available from: 2016-08-03 Created: 2016-08-03 Last updated: 2016-08-03Bibliographically approved

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Dainat, Jacques
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