Identifying bacterial predictors of honey bee health

被引:31
作者
Budge, Giles E. [1 ,2 ]
Adams, Ian [1 ]
Thwaites, Richard [1 ]
Pietravalle, Stephane [1 ]
Drew, Georgia C. [3 ]
Hurst, Gregory D. D. [3 ]
Tomkies, Victoria [1 ]
Boonham, Neil [1 ,2 ]
Brown, Mike [4 ]
机构
[1] Fera, York Y041 1LZ, N Yorkshire, England
[2] Newcastle Univ, Inst Agrifood Res & Innovat, Newcastle Upon Tyne NE1 7RU, Tyne & Wear, England
[3] Univ Liverpool, Inst Integrat Biol, Crown St, Liverpool L69 7ZB, Merseyside, England
[4] Anim & Plant Hlth Agcy, Sand Hutton YO41 1LZ, England
基金
英国生物技术与生命科学研究理事会;
关键词
Probiotic; Symbiont; Microbiome; SUBSTITUTIONS; POLLEN;
D O I
10.1016/j.jip.2016.11.003
中图分类号
Q95 [动物学];
学科分类号
071002 ;
摘要
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.
引用
收藏
页码:41 / 44
页数:4
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