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Back to the bones: do muscle area assessment techniques predict functional evolution across a macroevolutionary radiation?

Measures of attachment or accommodation area on the skeleton are a popular means of rapidly generating estimates of muscle proportions and functional performance for use in large-scale macroevolutionary studies. Herein, we provide the first evaluation of the accuracy of these muscle area assessment...

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Autores principales: Bates, Karl T., Wang, Linjie, Dempsey, Matthew, Broyde, Sarah, Fagan, Michael J., Cox, Philip G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8292018/
https://www.ncbi.nlm.nih.gov/pubmed/34283941
http://dx.doi.org/10.1098/rsif.2021.0324
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author Bates, Karl T.
Wang, Linjie
Dempsey, Matthew
Broyde, Sarah
Fagan, Michael J.
Cox, Philip G.
author_facet Bates, Karl T.
Wang, Linjie
Dempsey, Matthew
Broyde, Sarah
Fagan, Michael J.
Cox, Philip G.
author_sort Bates, Karl T.
collection PubMed
description Measures of attachment or accommodation area on the skeleton are a popular means of rapidly generating estimates of muscle proportions and functional performance for use in large-scale macroevolutionary studies. Herein, we provide the first evaluation of the accuracy of these muscle area assessment (MAA) techniques for estimating muscle proportions, force outputs and bone loading in a comparative macroevolutionary context using the rodent masticatory system as a case study. We find that MAA approaches perform poorly, yielding large absolute errors in muscle properties, bite force and particularly bone stress. Perhaps more fundamentally, these methods regularly fail to correctly capture many qualitative differences between rodent morphotypes, particularly in stress patterns in finite-element models. Our findings cast doubts on the validity of these approaches as means to provide input data for biomechanical models applied to understand functional transitions in the fossil record, and perhaps even in taxon-rich statistical models that examine broad-scale macroevolutionary patterns. We suggest that future work should go back to the bones to test if correlations between attachment area and muscle size within homologous muscles across a large number of species yield strong predictive relationships that could be used to deliver more accurate predictions for macroevolutionary and functional studies.
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spelling pubmed-82920182021-07-21 Back to the bones: do muscle area assessment techniques predict functional evolution across a macroevolutionary radiation? Bates, Karl T. Wang, Linjie Dempsey, Matthew Broyde, Sarah Fagan, Michael J. Cox, Philip G. J R Soc Interface Life Sciences–Engineering interface Measures of attachment or accommodation area on the skeleton are a popular means of rapidly generating estimates of muscle proportions and functional performance for use in large-scale macroevolutionary studies. Herein, we provide the first evaluation of the accuracy of these muscle area assessment (MAA) techniques for estimating muscle proportions, force outputs and bone loading in a comparative macroevolutionary context using the rodent masticatory system as a case study. We find that MAA approaches perform poorly, yielding large absolute errors in muscle properties, bite force and particularly bone stress. Perhaps more fundamentally, these methods regularly fail to correctly capture many qualitative differences between rodent morphotypes, particularly in stress patterns in finite-element models. Our findings cast doubts on the validity of these approaches as means to provide input data for biomechanical models applied to understand functional transitions in the fossil record, and perhaps even in taxon-rich statistical models that examine broad-scale macroevolutionary patterns. We suggest that future work should go back to the bones to test if correlations between attachment area and muscle size within homologous muscles across a large number of species yield strong predictive relationships that could be used to deliver more accurate predictions for macroevolutionary and functional studies. The Royal Society 2021-07-21 /pmc/articles/PMC8292018/ /pubmed/34283941 http://dx.doi.org/10.1098/rsif.2021.0324 Text en © 2021 The Authors. https://creativecommons.org/licenses/by/4.0/Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, provided the original author and source are credited.
spellingShingle Life Sciences–Engineering interface
Bates, Karl T.
Wang, Linjie
Dempsey, Matthew
Broyde, Sarah
Fagan, Michael J.
Cox, Philip G.
Back to the bones: do muscle area assessment techniques predict functional evolution across a macroevolutionary radiation?
title Back to the bones: do muscle area assessment techniques predict functional evolution across a macroevolutionary radiation?
title_full Back to the bones: do muscle area assessment techniques predict functional evolution across a macroevolutionary radiation?
title_fullStr Back to the bones: do muscle area assessment techniques predict functional evolution across a macroevolutionary radiation?
title_full_unstemmed Back to the bones: do muscle area assessment techniques predict functional evolution across a macroevolutionary radiation?
title_short Back to the bones: do muscle area assessment techniques predict functional evolution across a macroevolutionary radiation?
title_sort back to the bones: do muscle area assessment techniques predict functional evolution across a macroevolutionary radiation?
topic Life Sciences–Engineering interface
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8292018/
https://www.ncbi.nlm.nih.gov/pubmed/34283941
http://dx.doi.org/10.1098/rsif.2021.0324
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