Evidence map›Paper›PMID 39973203›Full record

ReviewThe Journal of experimental biology2025

Towards the yin and yang of fish locomotion: linking energetics, ecology and mechanics through field and lab approaches.

James C Liao

Abstract readReview
In one paragraph

Review in The Journal of experimental biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

James C LiaoDepartment of Biology, The Whitney Laboratory for Marine Bioscience, University of Florida, St Augustine, FL 32080, USA.ORCID 0000-0003-0181-6995

Funding

Understanding the role of Tmc proteins in hair cell mechanotransduction of zebrafishR56DC020321 · NIDCD · CASE WESTERN RESERVE UNIVERSITY · PI MCDERMOTT, BRIAN MICHAEL · 2023 to 2023
$573k
1923 FundJournal of Experimental BiologyNational Science Foundation BIO/IOS 1856237NIDCD NIH HHS R56 DC020321NIH HHS R56DC020321The Company of Biologists
6 · The paper itself

Abstract

Most of our understanding of fish locomotion has focused on elementary behaviors such as steady swimming and escape responses in simple environments. As the field matures, increasing attention is being paid to transient and unsteady behaviors that characterize more complex interactions with the environment. This Commentary advocates for an ecologically relevant approach to lab studies. Specific examples have brought new understanding to the energetic consequences of fish swimming, such as (1) station holding around bluff bodies, which departs drastically from steady swimming in almost all aspects of kinematics, muscle activity and energetics, and (2) transient behaviors such as acceleration and feeding, which are critical to survival but often neglected because of challenges in measuring costs. Beyond the lab, a far richer diversity of behaviors is available when fish are given enough space and time to move. Mesocosm studies are poised to reveal new insights into fish swimming that are inaccessible in laboratory settings. Next-generation biologgers that incorporate neural recordings will usher in a new era for understanding biomechanics in the wild and open the door for a more mechanistic understanding of how changing environments affect animal movement. These advances promise to allow insights into animal locomotion in ways that will mutually complement and accelerate laboratory and field studies in the years to come.

Indexed as

Energy MetabolismFishesLocomotionSwimmingAnimalsBiomechanical PhenomenaBiologgingBiomechanicsEcologyEnergeticsFishLocomotion

Identifiers

PMID39973203
PMCPMC11972077

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.