bioRxivEcology
Factors affecting virus prevalence in honey bees in the Pacific-Northwest, USA
Abstract
Global efforts to assess honey bee health show viruses are major stressors that undermine colony performance. Identifying factors that affect virus incidence, such as management practices and landscape context, could aid in slowing virus transmission. Here we surveyed viruses in honey bees from 86 sites in the Pacific Northwest, USA, and tested effects of regional bee density, movement associated with commercial pollination, julian date, and hive management on virus prevalence. We also explored patterns of virus co-occurrence and spatial autocorrelation to identify whether local transmission was a primary driver of pathogen distribution. Our surveys found widespread prevalence of Deformed wing virus (DWV), Sacbrood virus (SBV), and Black queen cell virus (BQCV). BQCV and SBV were most prolific in commercial apiaries, while Chronic bee paralysis virus (CPBV) was more common in hobbyist apiaries than commercial apiaries. DWV was most common in urban landscapes and was best predicted by mite prevalence and julian date, while the incidence of both SBV and BQCV were best predicted by regional apiary density. We did not find evidence of additional spatial autocorrelation for any viruses, although high co-occurrence suggests parallel transmission patterns. Our results support the importance of mite management in slowing virus spread and suggest that greater bee density increases transmission. Our study provides support that viruses are widespread in honey bees and connects known mechanisms of virus transmission to the distribution of pathogens observed across the Pacific Northwest. HighlightsThree viruses were widespread in honey bee populations across the Pacific Northwest, USA Black queen cell and Sacbrood viruses were most common in high density hives Deformed wing virus was most common in hives that had high mite loads The presence of many viruses in bees suggests parallel or synergistic transmission
- organism: human
- assay: metagenomics
- research focus: ecology & biodiversity
- research focus: host-pathogen & immune response
- research focus: benchmarking
- approach: statistical model
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