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Abstract
Recognition plays an important role in the formation and organization of
animal groups. Many animals are capable of class-level recognition,
discriminating, for example, on the basis of species, kinship or
familiarity. Individual recognition requires that animals recognize
distinct cues, and learn to associate these with the specific individual
from which they are derived. In this study, we asked whether
sticklebacks (Gasterosteus aculeatus and Pungitius pungitius)
were capable of learning to recognize individual conspecifics. We have
used these fish as model organisms for studying selective social
learning, and demonstrating a capacity for individual recognition in
these species would provide an exciting opportunity for studying how
biases for copying specific individuals shape the dynamics of
information transmission. To test for individual recognition, we trained
subjects to associate green illumination with the provision of a food
reward close to one of two conspecifics, and, for comparison, one of two
physical landmarks. Both species were capable of recognizing the
rewarded landmark, but neither showed a preference for associating with
the rewarded conspecific. Our study provides no evidence for individual
recognition in either species. We speculate that the fission–fusion
structure of their social groups may not favour a capacity for
individual recognition.
Original language | English |
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Article number | 191703 |
Number of pages | 10 |
Journal | Royal Society Open Science |
Volume | 7 |
Issue number | 7 |
DOIs | |
Publication status | Published - 8 Jul 2020 |
Keywords
- Cognition
- Learning
- Schooling
- Shoaling
- social information
- Social learning
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Dive into the research topics of 'No evidence for individual recognition in threespine or ninespine sticklebacks (Gasterosteus aculeatus or Pungitius pungitius)'. Together they form a unique fingerprint.Projects
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Datasets
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No evidence for individual recognition in threespine or ninespine sticklebacks (Gasterosteus aculeatus or Pungitius pungitius) (dataset)
Webster, M. M. (Creator) & Laland, K. N. (Creator), Figshare, 2020
DOI: 10.6084/m9.figshare.c.5044130
Dataset