Regional patterns and climatic predictors of viruses in honey bee (Apis mellifera) colonies over time

Abstract Honey bee viruses are serious pathogens that can cause poor colony health and productivity. We analyzed a multi-year longitudinal dataset of abundances of nine honey bee viruses (deformed wing virus A, deformed wing virus B, black queen cell virus, sacbrood virus, Lake Sinai virus, Kashmir...

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Main Authors: Alison McAfee, Niloofar Alavi-Shoushtari, Renata Labuschagne, Lan Tran, Julia Common, Heather Higo, Stephen F. Pernal, Pierre Giovenazzo, Shelley E. Hoover, Ernesto Guzman-Novoa, Robert W. Currie, Patricia Wolf Veiga, Sarah K. French, Ida M. Conflitti, Mateus Pepinelli, Daniel Borges, Elizabeth M. Walsh, Christine A. Bishop, Amro Zayed, Jason Duffe, M. Marta Guarna, Leonard J. Foster
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:Scientific Reports
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Online Access:https://doi.org/10.1038/s41598-024-79675-7
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author Alison McAfee
Niloofar Alavi-Shoushtari
Renata Labuschagne
Lan Tran
Julia Common
Heather Higo
Stephen F. Pernal
Pierre Giovenazzo
Shelley E. Hoover
Ernesto Guzman-Novoa
Robert W. Currie
Patricia Wolf Veiga
Sarah K. French
Ida M. Conflitti
Mateus Pepinelli
Daniel Borges
Elizabeth M. Walsh
Christine A. Bishop
Amro Zayed
Jason Duffe
M. Marta Guarna
Leonard J. Foster
author_facet Alison McAfee
Niloofar Alavi-Shoushtari
Renata Labuschagne
Lan Tran
Julia Common
Heather Higo
Stephen F. Pernal
Pierre Giovenazzo
Shelley E. Hoover
Ernesto Guzman-Novoa
Robert W. Currie
Patricia Wolf Veiga
Sarah K. French
Ida M. Conflitti
Mateus Pepinelli
Daniel Borges
Elizabeth M. Walsh
Christine A. Bishop
Amro Zayed
Jason Duffe
M. Marta Guarna
Leonard J. Foster
author_sort Alison McAfee
collection DOAJ
description Abstract Honey bee viruses are serious pathogens that can cause poor colony health and productivity. We analyzed a multi-year longitudinal dataset of abundances of nine honey bee viruses (deformed wing virus A, deformed wing virus B, black queen cell virus, sacbrood virus, Lake Sinai virus, Kashmir bee virus, acute bee paralysis virus, chronic bee paralysis virus, and Israeli acute paralysis virus) in colonies located across Canada to describe broad trends in virus intensity and occurrence among regions and years. We also tested climatic variables (temperature, wind speed, and precipitation) as predictors in an effort to understand possible drivers underlying seasonal patterns in viral prevalence. Temperature was a significant positive predictor of the total number of viruses per sample, which was highest in British Columbia (mean = 5.0). Lake Sinai virus (LSV) was the most prevalent overall (at 89%) and had the highest infection intensity, at an average of 3.9 × 108 copies per bee. Acute bee paralysis virus was the least prevalent virus (at 4.7%) and had the lowest infection intensity (1.9 × 105 copies per bee). Surprisingly, including Varroa abundance as a covariate did not significantly improve model fit for any virus. All viruses, except Kashmir bee virus, varied by region, and one or more climatic variables were significant predictors for six of the nine viruses. Although climatic effects were often inconsistent among individual viruses, we show that climatic variables can be better predictors of virus intensity and occurrence than Varroa mite abundance, at least when infestation rates are low.
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spelling doaj-art-3d38e953213d4d29801801b9d1b5a9332025-01-05T12:17:51ZengNature PortfolioScientific Reports2045-23222025-01-0115112110.1038/s41598-024-79675-7Regional patterns and climatic predictors of viruses in honey bee (Apis mellifera) colonies over timeAlison McAfee0Niloofar Alavi-Shoushtari1Renata Labuschagne2Lan Tran3Julia Common4Heather Higo5Stephen F. Pernal6Pierre Giovenazzo7Shelley E. Hoover8Ernesto Guzman-Novoa9Robert W. Currie10Patricia Wolf Veiga11Sarah K. French12Ida M. Conflitti13Mateus Pepinelli14Daniel Borges15Elizabeth M. Walsh16Christine A. Bishop17Amro Zayed18Jason Duffe19M. Marta Guarna20Leonard J. Foster21Department of Biochemistry and Molecular Biology, Michael Smith Laboratories, University of British ColumbiaLandscape Science and Technology, Environment & Climate Change CanadaTechnology Transfer Program, Alberta Beekeepers CommissionBeaverlodge Research Farm, Agriculture and Agri-Food CanadaDepartment of Biochemistry and Molecular Biology, Michael Smith Laboratories, University of British ColumbiaDepartment of Biochemistry and Molecular Biology, Michael Smith Laboratories, University of British ColumbiaBeaverlodge Research Farm, Agriculture and Agri-Food CanadaDépartement de Biologie, Université LavalDepartment of Biological Sciences, University of LethbridgeSchool of Environmental Sciences, University of GuelphDepartment of Entomology, University of ManitobaNational Bee Diagnostic Centre, Northwestern PolytechnicDepartment of Biology, York UniversityDepartment of Biology, York UniversitySchool of Natural Sciences, Laurentian University Technology Transfer Program, Ontario Beekeepers’ AssociationBeaverlodge Research Farm, Agriculture and Agri-Food CanadaEnvironment & Climate Change CanadaDepartment of Biology, York UniversityLandscape Science and Technology, Environment & Climate Change CanadaDepartment of Biochemistry and Molecular Biology, Michael Smith Laboratories, University of British ColumbiaDepartment of Biochemistry and Molecular Biology, Michael Smith Laboratories, University of British ColumbiaAbstract Honey bee viruses are serious pathogens that can cause poor colony health and productivity. We analyzed a multi-year longitudinal dataset of abundances of nine honey bee viruses (deformed wing virus A, deformed wing virus B, black queen cell virus, sacbrood virus, Lake Sinai virus, Kashmir bee virus, acute bee paralysis virus, chronic bee paralysis virus, and Israeli acute paralysis virus) in colonies located across Canada to describe broad trends in virus intensity and occurrence among regions and years. We also tested climatic variables (temperature, wind speed, and precipitation) as predictors in an effort to understand possible drivers underlying seasonal patterns in viral prevalence. Temperature was a significant positive predictor of the total number of viruses per sample, which was highest in British Columbia (mean = 5.0). Lake Sinai virus (LSV) was the most prevalent overall (at 89%) and had the highest infection intensity, at an average of 3.9 × 108 copies per bee. Acute bee paralysis virus was the least prevalent virus (at 4.7%) and had the lowest infection intensity (1.9 × 105 copies per bee). Surprisingly, including Varroa abundance as a covariate did not significantly improve model fit for any virus. All viruses, except Kashmir bee virus, varied by region, and one or more climatic variables were significant predictors for six of the nine viruses. Although climatic effects were often inconsistent among individual viruses, we show that climatic variables can be better predictors of virus intensity and occurrence than Varroa mite abundance, at least when infestation rates are low.https://doi.org/10.1038/s41598-024-79675-7Honey beesVirusesClimateCanadaWeather
spellingShingle Alison McAfee
Niloofar Alavi-Shoushtari
Renata Labuschagne
Lan Tran
Julia Common
Heather Higo
Stephen F. Pernal
Pierre Giovenazzo
Shelley E. Hoover
Ernesto Guzman-Novoa
Robert W. Currie
Patricia Wolf Veiga
Sarah K. French
Ida M. Conflitti
Mateus Pepinelli
Daniel Borges
Elizabeth M. Walsh
Christine A. Bishop
Amro Zayed
Jason Duffe
M. Marta Guarna
Leonard J. Foster
Regional patterns and climatic predictors of viruses in honey bee (Apis mellifera) colonies over time
Scientific Reports
Honey bees
Viruses
Climate
Canada
Weather
title Regional patterns and climatic predictors of viruses in honey bee (Apis mellifera) colonies over time
title_full Regional patterns and climatic predictors of viruses in honey bee (Apis mellifera) colonies over time
title_fullStr Regional patterns and climatic predictors of viruses in honey bee (Apis mellifera) colonies over time
title_full_unstemmed Regional patterns and climatic predictors of viruses in honey bee (Apis mellifera) colonies over time
title_short Regional patterns and climatic predictors of viruses in honey bee (Apis mellifera) colonies over time
title_sort regional patterns and climatic predictors of viruses in honey bee apis mellifera colonies over time
topic Honey bees
Viruses
Climate
Canada
Weather
url https://doi.org/10.1038/s41598-024-79675-7
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