4.5 Article

Identifying bacterial predictors of honey bee health

Journal

JOURNAL OF INVERTEBRATE PATHOLOGY
Volume 141, Issue -, Pages 41-44

Publisher

ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.jip.2016.11.003

Keywords

Probiotic; Symbiont; Microbiome

Categories

Funding

  1. Department for Environment, Food and Rural Affairs (Defra)
  2. BBSRC iCASE studentship - Fera
  3. Bee Disease Insurance
  4. Biotechnology and Biological Sciences Research Council [1510746] Funding Source: researchfish

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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.

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