Evidence map›Paper›PMID 29669901›Full record

ArticleProceedings. Biological sciences2018

Biased generalization of salient traits drives the evolution of warning signals.

Gabriella Gamberale-Stille, Baharan Kazemi, Alexandra Balogh, Olof Leimar

Abstract read
In one paragraph

Article in Proceedings. Biological sciences, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Weak warning signals can persist in the absence of gene flow.Proceedings of the National Academy of Sciences of the United States of America · 2019
    Article
  3. Article
  4. Generalization of learned preferences covaries with behavioral flexibility in red junglefowl chicks.Behavioral ecology : official journal of the International Society for Behavioral Ecology
    Article
  5. Interactions between color and gloss in iridescent camouflage.Behavioral ecology : official journal of the International Society for Behavioral Ecology
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Gabriella Gamberale-StilleDepartment of Zoology, Stockholm University, 10691 Stockholm, Sweden gabriella.gamberale@zoologi.su.se.ORCID 0000-0002-3445-3759
Baharan KazemiDepartment of Zoology, Stockholm University, 10691 Stockholm, Sweden.
Alexandra BaloghDepartment of Zoology, Stockholm University, 10691 Stockholm, Sweden.
Olof LeimarDepartment of Zoology, Stockholm University, 10691 Stockholm, Sweden olof.leimar@zoologi.su.se.ORCID 0000-0001-8621-6977

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The importance of receiver biases in shaping the evolution of many signalling systems is widely acknowledged. Here, we show that receiver bias can explain which traits evolve to become warning signals. For warning coloration, a generalization bias for a signalling trait can result from predators learning to discriminate unprofitable from profitable prey. However, because the colour patterns of prey are complex traits with multiple components, it is crucial to understand which of the many aspects of prey appearance evolve into signals. We provide experimental evidence that the more salient differences in prey traits give rise to greater generalization bias, corresponding to stronger selection towards trait exaggeration. Our results are based on experiments with domestic chickens as predators in a Skinner-box-like setting, and imply that the difference in appearance between profitable and unprofitable prey that is most rapidly learnt produces the greatest generalization bias. As a consequence, certain salient traits of unprofitable prey are selected towards exaggeration to even higher salience, driving the evolution of warning coloration. This general idea may also help to explain the evolution of many other striking signalling traits found in nature.

Indexed as

Biological EvolutionColorLearningPredatory BehaviorAnimalsChickensFemaleFood ChainModels, Biologicalaposematismgeneralizationlearningpeak shiftsaliencesignalling

Identifiers

PMID29669901
PMCPMC5936731

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.