scholarly journals The transcriptomic and evolutionary signature of social interactions regulating honey bee caste development

2015 ◽  
Vol 5 (21) ◽  
pp. 4795-4807 ◽  
Author(s):  
Svjetlana Vojvodic ◽  
Brian R. Johnson ◽  
Brock A. Harpur ◽  
Clement F. Kent ◽  
Amro Zayed ◽  
...  
Apidologie ◽  
2021 ◽  
Author(s):  
Sylwia Łopuch ◽  
Adam Tofilski

AbstractVibro-acoustic communication is used by honey bees in many different social contexts. Our previous research showed that workers interact with their queen outside of the swarming period by means of wing-beating behaviour. Therefore, the aim of this study was to verify the hypothesis that the wing-beating behaviour of workers attending the queen stimulates her to lay eggs. The behaviour of workers and the queen was recorded using a high-speed camera, at first in the presence of uncapped brood in the nest and then without one. None of the queens performed wing-beating behaviour. On the other hand, the workers attending the queen demonstrated this behaviour two times per minute, on average, even in the presence of uncapped brood in the nest. After removing the combs with the uncapped brood, the incidence of wing-beating behaviour increased significantly to an average of four times per minute. Wing-beating behaviour did not differ significantly in its characteristics when uncapped brood was present or absent in the nest. During 3 days after removing the combs with the uncapped brood, there was no significant increase in the rate of egg lying by the queen. Therefore, the results presented here do not convincingly confirm that the wing-beating behaviour of workers affects the rate of queen's egg-lying. This negative result can be related to colony disturbance and longer time required by the queen to increase egg production.


2020 ◽  
Vol 117 (30) ◽  
pp. 17949-17956 ◽  
Author(s):  
Chelsea N. Cook ◽  
Natalie J. Lemanski ◽  
Thiago Mosqueiro ◽  
Cahit Ozturk ◽  
Jürgen Gadau ◽  
...  

Individual differences in learning can influence how animals respond to and communicate about their environment, which may nonlinearly shape how a social group accomplishes a collective task. There are few empirical examples of how differences in collective dynamics emerge from variation among individuals in cognition. Here, we use a naturally variable and heritable learning behavior called latent inhibition (LI) to show that interactions among individuals that differ in this cognitive ability drive collective foraging behavior in honey bee colonies. We artificially selected two distinct phenotypes: high-LI bees that ignore previously familiar stimuli in favor of novel ones and low-LI bees that learn familiar and novel stimuli equally well. We then provided colonies differentially composed of different ratios of these phenotypes with a choice between familiar and novel feeders. Colonies of predominantly high-LI individuals preferred to visit familiar food locations, while low-LI colonies visited novel and familiar food locations equally. Interestingly, in colonies of mixed learning phenotypes, the low-LI individuals showed a preference to visiting familiar feeders, which contrasts with their behavior when in a uniform low-LI group. We show that the shift in feeder preference of low-LI bees is driven by foragers of the high-LI phenotype dancing more intensely and attracting more followers. Our results reveal that cognitive abilities of individuals and their social interactions, which we argue relate to differences in attention, drive emergent collective outcomes.


2020 ◽  
Vol 43 (4) ◽  
Author(s):  
Douglas Elias Santos ◽  
Anderson de Oliveira Souza ◽  
Gustavo Jacomini Tibério ◽  
Luciane Carla Alberici ◽  
Klaus Hartfelder

2019 ◽  
Vol 9 (6) ◽  
pp. 3446-3456 ◽  
Author(s):  
Hajime Yaguchi ◽  
Ryutaro Suzuki ◽  
Masatoshi Matsunami ◽  
Shuji Shigenobu ◽  
Kiyoto Maekawa

2016 ◽  
Vol 79 ◽  
pp. 1-12 ◽  
Author(s):  
Denyse Cavalcante Lago ◽  
Fernanda Carvalho Humann ◽  
Angel Roberto Barchuk ◽  
Kuruvilla Joseph Abraham ◽  
Klaus Hartfelder

2011 ◽  
Vol 57 (1) ◽  
pp. 38-45 ◽  
Author(s):  
Sergio Vicente Azevedo ◽  
Omar Arvey Martinez Caranton ◽  
Tatiane Lippi de Oliveira ◽  
Klaus Hartfelder

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