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Identifying bacterial predictors of honey bee health

Lookup NU author(s): Professor Giles Budge, Professor Neil Boonham

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND).

Abstract

Non-targeted approaches are useful tools to identify new or emerging issues in bee health. Here, we utilise next generation sequencing to highlight bacteria associated with healthy and unhealthy honey bee colonies, and then use targeted methods to screen a wider pool of colonies with known health status. Our results provide the first evidence that bacteria from the genus Arsenophonus are associated with poor health in honey bee colonies. We also discovered Lactobacillus and Leuconostoc spp. were associated with healthier honey bee colonies. Our results highlight the importance of understanding how the wider microbial population relates to honey bee colony health. Crown Copyright (C) 2016 Published by Elsevier Inc. All rights reserved.

Publication metadata

Author(s): Budge GE, Adams I, Thwaites R, Pietravalle S, Drew GC, Hurst GDD, Tomkies V, Boonham N, Brown M

Publication type: Article

Publication status: Published

Journal: Journal of Invertebrate Pathology

Year: 2016

Volume: 141

Pages: 41-44

Print publication date: 03/11/2016

Online publication date: 03/11/2016

Acceptance date: 01/11/2016

Date deposited: 04/08/2017

ISSN (print): 0022-2011

ISSN (electronic): 1096-0805

Publisher: Elsevier

URL: https://doi.org/10.1016/j.jip.2016.11.003

DOI: 10.1016/j.jip.2016.11.003

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