McAfee Alison, Alavi-Shoushtari Niloofar, Labuschagne Renata, Tran Lan, Common Julia, Higo Heather, Pernal Stephen F, Giovenazzo Pierre, Hoover Shelley E, Guzman-Novoa Ernesto, Currie Robert W, Veiga Patricia Wolf, French Sarah K, Conflitti Ida M, Pepinelli Mateus, Borges Daniel, Walsh Elizabeth M, Bishop Christine A, Zayed Amro, Duffe Jason, Guarna M Marta, Foster Leonard J
Department of Biochemistry and Molecular Biology, Michael Smith Laboratories, University of British Columbia, Vancouver, BC, V6T 1Z4, Canada.
Department of Applied Ecology, North Carolina State University, Raleigh, NC, 27695, USA.
Sci Rep. 2025 Jan 2;15(1):286. doi: 10.1038/s41598-024-79675-7.
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 × 10 copies per bee. Acute bee paralysis virus was the least prevalent virus (at 4.7%) and had the lowest infection intensity (1.9 × 10 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.
蜜蜂病毒是严重的病原体,可导致蜂群健康状况不佳和生产力下降。我们分析了加拿大各地蜂群中9种蜜蜂病毒(变形翅病毒A、变形翅病毒B、黑蜂王台病毒、囊状幼虫病毒、西奈湖病毒、克什米尔蜜蜂病毒、急性蜜蜂麻痹病毒、慢性蜜蜂麻痹病毒和以色列急性麻痹病毒)丰度的多年纵向数据集,以描述病毒强度以及不同地区和年份间病毒出现情况的总体趋势。我们还测试了气候变量(温度、风速和降水量)作为预测因子,以试图了解病毒流行季节性模式背后的可能驱动因素。温度是每个样本中病毒总数的显著正预测因子,在不列颠哥伦比亚省最高(平均值 = 5.0)。西奈湖病毒(LSV)总体上最为普遍(占89%)且感染强度最高,平均每只蜜蜂有3.9×10个拷贝。急性蜜蜂麻痹病毒是最不普遍的病毒(占4.7%)且感染强度最低(每只蜜蜂1.9×10个拷贝)。令人惊讶的是,将瓦螨丰度作为协变量纳入并未显著改善任何病毒的模型拟合度。除克什米尔蜜蜂病毒外,所有病毒在不同地区存在差异,并且9种病毒中的6种,一个或多个气候变量是显著的预测因子。尽管单个病毒的气候效应往往不一致,但我们表明,至少在侵染率较低时,气候变量比瓦螨丰度更能预测病毒强度和出现情况。