Identifying bacterial predictors of honey bee health

Budge, Giles E, Adams, Ian, Thwaites, Richard, Pietravalle, Stephane, Drew, Georgia C, Hurst, Gregory DD ORCID: 0000-0002-7163-7784, Tomkies, Victoria, Boonham, Neil and Brown, Mike (2016) Identifying bacterial predictors of honey bee health. JOURNAL OF INVERTEBRATE PATHOLOGY, 141. pp. 41-44.

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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.

Item Type:	Article
Uncontrolled Keywords:	Probiotic, Symbiont, Microbiome
Depositing User:	Symplectic Admin
Date Deposited:	18 Nov 2016 10:55
Last Modified:	19 Jan 2023 07:25
DOI:	10.1016/j.jip.2016.11.003
Related URLs:	Author Publisher
URI:	https://livrepository.liverpool.ac.uk/id/eprint/3004593