Literature DB >> 34089645

One-to-one innervation of vocal muscles allows precise control of birdsong.

Iris Adam1, Alyssa Maxwell1, Helen Rößler1, Emil B Hansen1, Michiel Vellema1, Jonathan Brewer2, Coen P H Elemans3.   

Abstract

The motor control resolution of any animal behavior is limited to the minimal force step available when activating muscles, which is set by the number and size distribution of motor units (MUs) and muscle-specific force. Birdsong is an excellent model system for understanding acquisition and maintenance of complex fine motor skills, but we know surprisingly little about how the motor pool controlling the syrinx is organized and how MU recruitment drives changes in vocal output. Here we developed an experimental paradigm to measure MU size distribution using spatiotemporal imaging of intracellular calcium concentration in cross-sections of living intact syrinx muscles. We combined these measurements with muscle stress and an in vitro syrinx preparation to determine the control resolution of fundamental frequency (fo), a key vocal parameter, in zebra finches. We show that syringeal muscles have extremely small MUs, with 40%-50% innervating ≤3 and 13%-17% innervating a single muscle fiber. Combined with the lowest specific stress (5 mN/mm2) known to skeletal vertebrate muscle, small force steps by the major fo controlling muscle provide control of 50-mHz to 7.3-Hz steps per MU. We show that the song system has the highest motor control resolution possible in the vertebrate nervous system and suggest this evolved due to strong selection on fine gradation of vocal output. Furthermore, we propose that high-resolution motor control was a key feature contributing to the radiation of songbirds that allowed diversification of song and speciation by vocal space expansion.
Copyright © 2021 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  birdsong; motor control; motor unit; songbird; sound production; vocal communication; voice

Mesh:

Year:  2021        PMID: 34089645      PMCID: PMC8319070          DOI: 10.1016/j.cub.2021.05.008

Source DB:  PubMed          Journal:  Curr Biol        ISSN: 0960-9822            Impact factor:   10.900


  64 in total

1.  Specific force deficit in skeletal muscles of old rats is partially explained by the existence of denervated muscle fibers.

Authors:  M G Urbanchek; E B Picken; L K Kalliainen; W M Kuzon
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2001-05       Impact factor: 6.053

2.  Forces and powers of slow and fast skeletal muscles in mice during repeated contractions.

Authors:  S V Brooks; J A Faulkner
Journal:  J Physiol       Date:  1991-05       Impact factor: 5.182

3.  Multifunctional and Context-Dependent Control of Vocal Acoustics by Individual Muscles.

Authors:  Kyle H Srivastava; Coen P H Elemans; Samuel J Sober
Journal:  J Neurosci       Date:  2015-10-21       Impact factor: 6.167

4.  Performance variability enables adaptive plasticity of 'crystallized' adult birdsong.

Authors:  Evren C Tumer; Michael S Brainard
Journal:  Nature       Date:  2007-12-20       Impact factor: 49.962

5.  A micro-scale printable nanoclip for electrical stimulation and recording in small nerves.

Authors:  Charles A Lissandrello; Winthrop F Gillis; Jun Shen; Ben W Pearre; Flavia Vitale; Matteo Pasquali; Bradley J Holinski; Daniel J Chew; Alice E White; Timothy J Gardner
Journal:  J Neural Eng       Date:  2017-03-21       Impact factor: 5.379

6.  The size of motor units in laryngeal muscles of the rat.

Authors:  C F Hinrichsen; A Ryan
Journal:  Experientia       Date:  1982-03-15

7.  Innervation of the syrinx of the zebra finch (Taeniopygia guttata).

Authors:  Macarena Faunes; João F Botelho; J Martin Wild
Journal:  J Comp Neurol       Date:  2017-05-30       Impact factor: 3.215

8.  Mutually exclusive muscle designs: the power output of the locomotory and sonic muscles of the oyster toadfish (Opsanus tau).

Authors:  I S Young; L C Rome
Journal:  Proc Biol Sci       Date:  2001-10-07       Impact factor: 5.349

9.  Detection of changes in timbre and harmonicity in complex sounds by zebra finches (Taeniopygia guttata) and budgerigars (Melopsittacus undulatus).

Authors:  B Lohr; R J Dooling
Journal:  J Comp Psychol       Date:  1998-03       Impact factor: 2.231

10.  Predicting Achievable Fundamental Frequency Ranges in Vocalization Across Species.

Authors:  Ingo Titze; Tobias Riede; Ted Mau
Journal:  PLoS Comput Biol       Date:  2016-06-16       Impact factor: 4.475

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  2 in total

1.  Proposing a neural framework for the evolution of elaborate courtship displays.

Authors:  Ryan W Schwark; Matthew J Fuxjager; Marc F Schmidt
Journal:  Elife       Date:  2022-05-31       Impact factor: 8.713

Review 2.  Computer-Implemented Articulatory Models for Speech Production: A Review.

Authors:  Bernd J Kröger
Journal:  Front Robot AI       Date:  2022-03-08
  2 in total

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