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Autores principales: Jadoul, Yannick, Hersh, Taylor A, Fernández Domingos, Elias, Gamba, Marco, Favaro, Livio, Ravignani, Andrea
Formato: Artículo científico
Lenguaje:en
Publicado: PLoS computational biology 2025
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Acceso en línea:https://pubmed.ncbi.nlm.nih.gov/40267164/
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author Jadoul, Yannick
Hersh, Taylor A
Fernández Domingos, Elias
Gamba, Marco
Favaro, Livio
Ravignani, Andrea
author_facet Jadoul, Yannick
Hersh, Taylor A
Fernández Domingos, Elias
Gamba, Marco
Favaro, Livio
Ravignani, Andrea
Jadoul, Yannick
Hersh, Taylor A
Fernández Domingos, Elias
Gamba, Marco
Favaro, Livio
Ravignani, Andrea
collection PubMed - marine biology
contents An evolutionary model of rhythmic accelerando in animal vocal signalling. Jadoul, Yannick Hersh, Taylor A Fernández Domingos, Elias Gamba, Marco Favaro, Livio Ravignani, Andrea Animals Vocalization, Animal Biological Evolution Computer Simulation Models, Biological Computational Biology Game Theory Periodicity Animal acoustic communication contains many structural features. Among these, temporal structure, or rhythmicity, is increasingly tested empirically and modelled quantitatively. Accelerando is a rhythmic structure which consists of temporal intervals increasing in rate over a sequence. Why this particular vocal behaviour is widespread in many different animal lineages, and how it evolved, is so far unknown. Here, we use evolutionary game theory and computer simulations to link two rhythmic aspects of animal communication, acceleration and overlap: We test whether rhythmic accelerando could evolve under a pressure for acoustic overlap in time. Our models show that higher acceleration values result in a higher payoff, driven by the higher relative overlap between sequences. The addition of a cost to the payoff matrix models a physiological disadvantage to high acceleration rates and introduces a divergence between an individual's incentive and the overall payoff of the population. Analysis of the invasion dynamics of acceleration strategies shows a stable, non-invadable range of strategies for moderate acceleration levels. Our computational simulations confirm these results: A simple selective pressure to maximise the expected overlap, while minimising the associated physiological cost, causes an initially isochronous population to evolve towards producing increasingly accelerating sequences until a population-wide equilibrium of rhythmic accelerando is reached. These results are robust to a broad range of parameter values. Overall, our analyses show that if overlap is beneficial, emergent evolutionary dynamics allow a population to gradually start producing accelerating sequences and reach a stable state of moderate acceleration. Finally, our modelling results closely match empirical data recorded from an avian species showing rhythmic accelerando, the African penguin. This shows the productive interplay between theoretical and empirical biology.
format Artículo científico
id pubmed_40267164
institution PubMed
language en
publishDate 2025
publisher PLoS computational biology
record_format pubmed
spellingShingle An evolutionary model of rhythmic accelerando in animal vocal signalling.
Jadoul, Yannick
Hersh, Taylor A
Fernández Domingos, Elias
Gamba, Marco
Favaro, Livio
Ravignani, Andrea
Animals
Vocalization, Animal
Biological Evolution
Computer Simulation
Models, Biological
Computational Biology
Game Theory
Periodicity
An evolutionary model of rhythmic accelerando in animal vocal signalling. Jadoul, Yannick Hersh, Taylor A Fernández Domingos, Elias Gamba, Marco Favaro, Livio Ravignani, Andrea Animals Vocalization, Animal Biological Evolution Computer Simulation Models, Biological Computational Biology Game Theory Periodicity Animal acoustic communication contains many structural features. Among these, temporal structure, or rhythmicity, is increasingly tested empirically and modelled quantitatively. Accelerando is a rhythmic structure which consists of temporal intervals increasing in rate over a sequence. Why this particular vocal behaviour is widespread in many different animal lineages, and how it evolved, is so far unknown. Here, we use evolutionary game theory and computer simulations to link two rhythmic aspects of animal communication, acceleration and overlap: We test whether rhythmic accelerando could evolve under a pressure for acoustic overlap in time. Our models show that higher acceleration values result in a higher payoff, driven by the higher relative overlap between sequences. The addition of a cost to the payoff matrix models a physiological disadvantage to high acceleration rates and introduces a divergence between an individual's incentive and the overall payoff of the population. Analysis of the invasion dynamics of acceleration strategies shows a stable, non-invadable range of strategies for moderate acceleration levels. Our computational simulations confirm these results: A simple selective pressure to maximise the expected overlap, while minimising the associated physiological cost, causes an initially isochronous population to evolve towards producing increasingly accelerating sequences until a population-wide equilibrium of rhythmic accelerando is reached. These results are robust to a broad range of parameter values. Overall, our analyses show that if overlap is beneficial, emergent evolutionary dynamics allow a population to gradually start producing accelerating sequences and reach a stable state of moderate acceleration. Finally, our modelling results closely match empirical data recorded from an avian species showing rhythmic accelerando, the African penguin. This shows the productive interplay between theoretical and empirical biology.
title An evolutionary model of rhythmic accelerando in animal vocal signalling.
topic Animals
Vocalization, Animal
Biological Evolution
Computer Simulation
Models, Biological
Computational Biology
Game Theory
Periodicity
url https://pubmed.ncbi.nlm.nih.gov/40267164/