Extracting individual characteristics from population data reveals a negative social effect during honeybee defence

PLoS Comput Biol. 2022 Sep 15;18(9):e1010305. doi: 10.1371/journal.pcbi.1010305. eCollection 2022 Sep.

Abstract

Honeybees protect their colony against vertebrates by mass stinging and they coordinate their actions during this crucial event thanks to an alarm pheromone carried directly on the stinger, which is therefore released upon stinging. The pheromone then recruits nearby bees so that more and more bees participate in the defence. However, a quantitative understanding of how an individual bee adapts its stinging response during the course of an attack is still a challenge: Typically, only the group behaviour is effectively measurable in experiment; Further, linking the observed group behaviour with individual responses requires a probabilistic model enumerating a combinatorial number of possible group contexts during the defence; Finally, extracting the individual characteristics from group observations requires novel methods for parameter inference. We first experimentally observed the behaviour of groups of bees confronted with a fake predator inside an arena and quantified their defensive reaction by counting the number of stingers embedded in the dummy at the end of a trial. We propose a biologically plausible model of this phenomenon, which transparently links the choice of each individual bee to sting or not, to its group context at the time of the decision. Then, we propose an efficient method for inferring the parameters of the model from the experimental data. Finally, we use this methodology to investigate the effect of group size on stinging initiation and alarm pheromone recruitment. Our findings shed light on how the social context influences stinging behaviour, by quantifying how the alarm pheromone concentration level affects the decision of each bee to sting or not in a given group size. We show that recruitment is curbed as group size grows, thus suggesting that the presence of nestmates is integrated as a negative cue by individual bees. Moreover, the unique integration of exact and statistical methods provides a quantitative characterisation of uncertainty associated to each of the inferred parameters.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Animals
  • Bees* / physiology
  • Behavior, Animal* / physiology
  • Pheromones / physiology
  • Social Behavior*

Substances

  • Pheromones

Grants and funding

TP’s research is supported by the Ministry of Science, Research and the Arts of the state of Baden-Württemberg. MH’s research was supported by Young Scholar Fund (YSF), project no. P83943018FP430_/18. JK’s research was supported by the AFF (Der Ausschuss für Forschungsfragen, EU-Anschubfinanzierung, Univ. of Konstanz). TP, MH, JK were further funded by the DFG Centre of Excellence 2117 ‘Centre for the Advanced Study of Collective Behaviour’ (ID: 422037984). DS’s research has been partially supported by the Grant Agency of Czech Republic grant no. GA22-10845S. MN’s research was supported financially by the Zukunftskolleg (University of Konstanz) and by a DFG research grant (project number 414260764). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.