Abstract

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.

Highlights

  • As eusocial insects, honeybees live in societies that are notably characterized by an age-dependent division of labor among workers for tasks related to colony homeostasis, growth and development [1]

  • Based on vg and akhr expression levels and the predictive age model (S1 File), we determined the biological age of a colony population

  • We found that the markers vg and akhr, that typically exhibit significant changes during behavioral development [25, 26], are suited for assessing bee biological age and, colony demographic changes

Read more

Summary

Introduction

Honeybees live in societies that are notably characterized by an age-dependent division of labor among workers for tasks related to colony homeostasis, growth and development [1]. Biological age in honeybees (feeding and taking care of the brood, building comb), and the rest of their life outside of the hive (foraging for nectar and pollen to support colony growth) [2], this task switch being associated with a rapid senescence [3]. This behavioral maturation and ageing is flexible and may change according to colony needs [4, 5]. This pool can be large, and has been estimated to be 50% or more of the colony population [10, 11]

Methods
Results
Discussion
Conclusion
Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.