In:
PLOS Computational Biology, Public Library of Science (PLoS), Vol. 17, No. 4 ( 2021-4-1), p. e1008843-
Abstract:
The arrangement and physiology of muscle fibres can strongly influence musculoskeletal function and whole-organismal performance. However, experimental investigation of muscle function during in vivo activity is typically limited to relatively few muscles in a given system. Computational models and simulations of the musculoskeletal system can partly overcome these limitations, by exploring the dynamics of muscles, tendons and other tissues in a robust and quantitative fashion. Here, a high-fidelity, 26-degree-of-freedom musculoskeletal model was developed of the hindlimb of a small ground bird, the elegant-crested tinamou ( Eudromia elegans , ~550 g), including all the major muscles of the limb (36 actuators per leg). The model was integrated with biplanar fluoroscopy (XROMM) and forceplate data for walking and running, where dynamic optimization was used to estimate muscle excitations and fibre length changes throughout both gaits. Following this, a series of static simulations over the total range of physiological limb postures were performed, to circumscribe the bounds of possible variation in fibre length. During gait, fibre lengths for all muscles remained between 0.5 to 1.21 times optimal fibre length, but operated mostly on the ascending limb and plateau of the active force-length curve, a result that parallels previous experimental findings for birds, humans and other species. However, the ranges of fibre length varied considerably among individual muscles, especially when considered across the total possible range of joint excursion. Net length change of muscle–tendon units was mostly less than optimal fibre length, sometimes markedly so, suggesting that approaches that use muscle–tendon length change to estimate optimal fibre length in extinct species are likely underestimating this important parameter for many muscles. The results of this study clarify and broaden understanding of muscle function in extant animals, and can help refine approaches used to study extinct species.
Type of Medium:
Online Resource
ISSN:
1553-7358
DOI:
10.1371/journal.pcbi.1008843
DOI:
10.1371/journal.pcbi.1008843.g001
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10.1371/journal.pcbi.1008843.g002
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10.1371/journal.pcbi.1008843.g003
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10.1371/journal.pcbi.1008843.g004
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10.1371/journal.pcbi.1008843.g005
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10.1371/journal.pcbi.1008843.g006
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10.1371/journal.pcbi.1008843.g007
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10.1371/journal.pcbi.1008843.g008
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10.1371/journal.pcbi.1008843.g009
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10.1371/journal.pcbi.1008843.g010
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10.1371/journal.pcbi.1008843.t001
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10.1371/journal.pcbi.1008843.t002
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10.1371/journal.pcbi.1008843.t003
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10.1371/journal.pcbi.1008843.t004
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10.1371/journal.pcbi.1008843.s001
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10.1371/journal.pcbi.1008843.s002
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10.1371/journal.pcbi.1008843.s003
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10.1371/journal.pcbi.1008843.s004
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10.1371/journal.pcbi.1008843.s005
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10.1371/journal.pcbi.1008843.s006
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10.1371/journal.pcbi.1008843.s007
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10.1371/journal.pcbi.1008843.s008
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10.1371/journal.pcbi.1008843.s009
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10.1371/journal.pcbi.1008843.s010
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10.1371/journal.pcbi.1008843.s011
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10.1371/journal.pcbi.1008843.s012
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10.1371/journal.pcbi.1008843.s013
DOI:
10.1371/journal.pcbi.1008843.s014
DOI:
10.1371/journal.pcbi.1008843.s015
DOI:
10.1371/journal.pcbi.1008843.r001
DOI:
10.1371/journal.pcbi.1008843.r002
DOI:
10.1371/journal.pcbi.1008843.r003
DOI:
10.1371/journal.pcbi.1008843.r004
DOI:
10.1371/journal.pcbi.1008843.r005
DOI:
10.1371/journal.pcbi.1008843.r006
DOI:
10.1371/journal.pcbi.1008843.r007
DOI:
10.1371/journal.pcbi.1008843.r008
Language:
English
Publisher:
Public Library of Science (PLoS)
Publication Date:
2021
detail.hit.zdb_id:
2193340-6
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