Male mice song syntax depends on social contexts and influences female preferences.
Abstract
In 2005, Holy and Guo advanced the idea that male mice produce ultrasonic vocalizations
(USV) with some features similar to courtship songs of songbirds. Since then, studies
showed that male mice emit USV songs in different contexts (sexual and other) and
possess a multisyllabic repertoire. Debate still exists for and against plasticity
in their vocalizations. But the use of a multisyllabic repertoire can increase potential
flexibility and information, in how elements are organized and recombined, namely
syntax. In many bird species, modulating song syntax has ethological relevance for
sexual behavior and mate preferences. In this study we exposed adult male mice to
different social contexts and developed a new approach of analyzing their USVs based
on songbird syntax analysis. We found that male mice modify their syntax, including
specific sequences, length of sequence, repertoire composition, and spectral features,
according to stimulus and social context. Males emit longer and simpler syllables
and sequences when singing to females, but more complex syllables and sequences in
response to fresh female urine. Playback experiments show that the females prefer
the complex songs over the simpler ones. We propose the complex songs are to lure
females in, whereas the directed simpler sequences are used for direct courtship.
These results suggest that although mice have a much more limited ability of song
modification, they could still be used as animal models for understanding some vocal
communication features that songbirds are used for.
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https://hdl.handle.net/10161/9544Published Version (Please cite this version)
10.3389/fnbeh.2015.00076Publication Info
Chabout, J; Sarkar, A; Dunson, DB; & Jarvis, E (2015). Male mice song syntax depends on social contexts and influences female preferences.
Front Behav Neurosci, 9. pp. 76. 10.3389/fnbeh.2015.00076. Retrieved from https://hdl.handle.net/10161/9544.This is constructed from limited available data and may be imprecise. To cite this
article, please review & use the official citation provided by the journal.
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David B. Dunson
Arts and Sciences Distinguished Professor of Statistical Science
My research focuses on developing new tools for probabilistic learning from complex
data - methods development is directly motivated by challenging applications in ecology/biodiversity,
neuroscience, environmental health, criminal justice/fairness, and more. We seek
to develop new modeling frameworks, algorithms and corresponding code that can be
used routinely by scientists and decision makers. We are also interested in new inference
framework and in studying theoretical properties
Erich David Jarvis
Adjunct Professor in the Dept. of Neurobiology
Dr. Jarvis' laboratory studies the neurobiology of vocal communication. Emphasis is
placed on the molecular pathways involved in the perception and production of learned
vocalizations. They use an integrative approach that combines behavioral, anatomical,
electrophysiological and molecular biological techniques. The main animal model used
is songbirds, one of the few vertebrate groups that evolved the ability to learn vocalizations.
The generality of the discoveries is tested in other vocal
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