Evidence map›Paper›PMID 31487282›Full record

ArticlePLoS computational biology2019

3D computational models explain muscle activation patterns and energetic functions of internal structures in fish swimming.

Tingyu Ming, Bowen Jin, Jialei Song, Haoxiang Luo, Ruxu Du, Yang Ding

Abstract read
In one paragraph

Article in PLoS computational biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Tingyu MingBeijing Computational Science Research Center, Haidian District, Beijing, China.ORCID 0000-0001-7975-5008
Bowen JinBeijing Computational Science Research Center, Haidian District, Beijing, China.
Jialei SongBeijing Computational Science Research Center, Haidian District, Beijing, China.
Haoxiang LuoDepartment of Mechanical Engineering, Vanderbilt University, Nashville, Tennessee, United States of America.
Ruxu DuDepartment of Mechanical and Automation Engineering, Chinese University of Hong Kong, Hong Kong SAR, China.
Yang DingBeijing Computational Science Research Center, Haidian District, Beijing, China.ORCID 0000-0002-8252-2421

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

How muscles are used is a key to understanding the internal driving of fish swimming. However, the underlying mechanisms of some features of the muscle activation patterns and their differential appearance in different species are still obscure. In this study, we explain the muscle activation patterns by using 3D computational fluid dynamics models coupled to the motion of fish with prescribed deformation and examining the torque and power required along the fish body with two primary swimming modes. We find that the torque required by the hydrodynamic forces and body inertia exhibits a wave pattern that travels faster than the curvature wave in both anguilliform and carangiform swimmers, which can explain the traveling wave speeds of the muscle activations. Notably, intermittent negative power (i.e., power delivered by the fluid to the body) on the posterior part, along with a timely transfer of torque and energy by tendons, explains the decrease in the duration of muscle activation towards the tail. The torque contribution from the body elasticity further clarifies the wave speed increase or the reverse of the wave direction of the muscle activation on the posterior part of a carangiform swimmer. For anguilliform swimmers, the absence of the aforementioned changes in the muscle activation on the posterior part is consistent with our torque prediction and the absence of long tendons from experimental observations. These results provide novel insights into the functions of muscles and tendons as an integral part of the internal driving system, especially from an energy perspective, and they highlight the differences in the internal driving systems between the two primary swimming modes.

Indexed as

FishesModels, BiologicalMuscle, SkeletalAnimalsBiomechanical PhenomenaComputational BiologyComputer SimulationMusculoskeletal Physiological PhenomenaSwimming

Identifiers

PMID31487282
PMCPMC6748450

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.