Resonant song recognition and the evolution of acoustic communication in crickets

Cricket song recognition is thought to evolve through modifications of a shared neural network. However, the species <i>Anurogryllus muticus</i> has an unusual recognition pattern that challenges this view: females respond to both normal male song pulse periods and periods twice as long. Of the three minimal models tested, only a single-neuron model with an oscillating membrane could explain this unusual behavior. A minimal model of the cricket's song network reproduced the behavior after adding a mechanism that, while present in the full network, is not crucial for song recognition in other species. This shows how a shared neural network can produce diverse behaviors and highlights how different computations contribute to evolution. Our results also demonstrate how nonlinear computations can lead to rapid behavioral changes during evolution because small changes in network parameters can lead to large changes in behavior.

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Publication Details

Journal
iScience
Published
2024-12-26
DOI
https://doi.org/10.1016/j.isci.2024.111695
Citations
1
Primary Topic
Orthoptera Research and Taxonomy
Type
article
Field-Weighted Citation Impact
1.03

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article

Resonant song recognition and the evolution of acoustic communication in crickets

Jan Clemens, R. Matthias Hennig, Bettina Erregger, Winston Mann
1 citations
iScience
Orthoptera Research and Taxonomy
1.03
article

Resonant song recognition and the evolution of acoustic communication in crickets

Jan Clemens, R. Matthias Hennig, Bettina Erregger, Winston Mann
article en
1 citations

Abstract

Cricket song recognition is thought to evolve through modifications of a shared neural network. However, the species <i>Anurogryllus muticus</i> has an unusual recognition pattern that challenges this view: females respond to both normal male song pulse periods and periods twice as long. Of the three minimal models tested, only a single-neuron model with an oscillating membrane could explain this unusual behavior. A minimal model of the cricket's song network reproduced the behavior after adding a mechanism that, while present in the full network, is not crucial for song recognition in other species. This shows how a shared neural network can produce diverse behaviors and highlights how different computations contribute to evolution. Our results also demonstrate how nonlinear computations can lead to rapid behavioral changes during evolution because small changes in network parameters can lead to large changes in behavior.

iScienceVol. 28(2)
Carl von Ossietzky Universität Oldenburg (DE), Humboldt-Universität zu Berlin (DE), Max Planck Institute of Experimental Medicine (DE), BOKU University (AT)
Deutsche Forschungsgemeinschaft
Openalex Percentile: Top 15%
Orthoptera Research and Taxonomy
1.03
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