Journal article
Built for rowing: Frog muscle is tuned to limb morphology to power swimming
Journal of the Royal Society Interface, Vol.10(84), pp.1-9
2013
Abstract
Rowing is demanding, in part, because drag on the oars increases as the square of their speed. Hence, as muscles shorten faster, their force capacity falls, whereas drag rises. How do frogs resolve this dilemma to swim rapidly? We predicted that shortening velocity cannot exceed a terminal velocity where muscle and fluid torques balance. This terminal velocity, which is below V max, depends on gear ratio (GR = outlever/inlever) and webbed foot area. Perhaps such properties of swimmers are 'tuned', enabling shortening speeds of approximately 0.3Vmax for maximal power. Predictions were tested using a 'musculo-robotic' Xenopus laevis foot driven either by a living in vitro or computational in silico plantaris longus muscle. Experiments verified predictions. Our principle finding is that GR ranges from 11.5 to 20 near the predicted optimum for rowing (GR ≈ 11). However, gearing influences muscle power more strongly than foot area. No single morphology is optimal for producing muscle power. Rather, the 'optimal' GR decreases with foot size, implying that rowing ability need not compromise jumping (and vice versa). Thus, despite our neglect of additional forces (e.g. added mass), our model predicts pairings of physiological and morphological properties to confer effective rowing. Beyond frogs, the model may apply across a range of size and complexity from aquatic insects to human-powered rowing. © 2013 The Author(s) Published by the Royal Society. All rights reserved..
Details
- Title
- Built for rowing: Frog muscle is tuned to limb morphology to power swimming
- Authors
- C T Richards (Author) - Harvard University, United StatesChristofer J Clemente (Author) - Harvard University, United States
- Publication details
- Journal of the Royal Society Interface, Vol.10(84), pp.1-9
- Publisher
- Royal Society Publishing
- Date published
- 2013
- DOI
- 10.1098/rsif.2013.0236
- ISSN
- 1742-5689
- Organisation Unit
- School of Science and Engineering - Legacy; University of the Sunshine Coast, Queensland; School of Science, Technology and Engineering
- Language
- English
- Record Identifier
- 99450087202621
- Output Type
- Journal article
Metrics
590 Record Views
InCites Highlights
These are selected metrics from InCites Benchmarking & Analytics tool, related to this output
- Web Of Science research areas
- Biology