INRA, Abeilles et Environnement, Avignon, France.
UMT PrADE, Avignon, France.
PLoS One. 2018 Dec 13;13(12):e0209192. doi: 10.1371/journal.pone.0209192. eCollection 2018.
Honeybee colonies are increasingly exposed to environmental stress factors, which can lead to their decline or failure. However, there are major gaps in stressor risk assessment due to the difficulty of assessing the honeybee colony state and detecting abnormal events. Since stress factors usually induce a demographic disturbance in the colony (e.g. loss of foragers, early transition from nurse to forager state), we suggest that disturbances could be revealed indirectly by measuring the age- and task-related physiological state of bees, which can be referred to as biological age (an indicator of the changes in physiological state that occur throughout an individual lifespan). We therefore estimated the biological age of bees from the relationship between age and biomarkers of task specialization (vitellogenin and the adipokinetic hormone receptor). This relationship was determined from a calibrated sample set of known-age bees and mathematically modelled for biological age prediction. Then, we determined throughout the foraging season the evolution of the biological age of bees from colonies with low (conventional apiary) or high Varroa destructor infestation rates (organic apiary). We found that the biological age of bees from the conventional apiary progressively decreased from the spring (17 days) to the fall (6 days). However, in colonies from the organic apiary, the population aged from spring (13 days) to summer (18.5 days) and then rejuvenated in the fall (13 days) after Varroa treatment. Biological age was positively correlated with the amount of brood (open and closed cells) in the apiary with low Varroa pressure, and negatively correlated with Varroa infestation level in the apiary with high Varroa pressure. Altogether, these results show that the estimation of biological age is a useful and effective method for assessing colony demographic state and likely detrimental effects of stress factors.
蜜蜂种群越来越多地暴露于环境应激因素下,这可能导致其衰落或衰竭。然而,由于评估蜜蜂种群状态和检测异常事件的难度,应激因素的风险评估存在重大差距。由于应激因素通常会导致种群数量发生变化(例如,采集蜂减少,从保育蜂向采集蜂的状态过早转变),我们建议可以通过测量与年龄和任务相关的蜜蜂生理状态来间接揭示这种变化,这可以称为生物年龄(个体整个生命周期中生理状态变化的指标)。因此,我们根据与任务专业化相关的生物标志物(卵黄原蛋白和激素原激活肽受体)与年龄的关系来估计蜜蜂的生物年龄。该关系是从具有已知年龄的校准样本集中确定的,并通过数学模型来预测生物年龄。然后,我们在整个采集季节,从感染率较低(传统养蜂场)或较高(有机养蜂场)的瓦螨的蜜蜂种群中,确定蜜蜂的生物年龄变化。我们发现,传统养蜂场的蜜蜂的生物年龄从春季(17 天)逐渐减少到秋季(6 天)。然而,在有机养蜂场的蜂群中,种群的年龄从春季(13 天)增加到夏季(18.5 天),然后在瓦螨处理后,秋季又恢复到 13 天。生物年龄与养蜂场中低瓦螨压力下的幼虫数量(开放和封闭的巢房)呈正相关,与高瓦螨压力下的瓦螨感染水平呈负相关。总之,这些结果表明,生物年龄的估计是评估蜂群人口状态和应激因素可能产生不利影响的一种有用且有效的方法。