PT  - JOURNAL ARTICLE
AU  - A. C. Osgood
AU  - G.P. Sutton
AU  - S. M. Cox
TI  - Simple muscle-lever systems are not so simple: The need for dynamic analyses to predict lever mechanics that maximize speed
AID  - 10.1101/2020.10.14.339390
DP  - 2021 Jan 01
TA  - bioRxiv
PG  - 2020.10.14.339390
4099  - http://biorxiv.org/content/early/2021/08/18/2020.10.14.339390.short
4100  - http://biorxiv.org/content/early/2021/08/18/2020.10.14.339390.full
AB  - Here we argue that quasi-static analyses are insufficient to predict the speed of an organism from its skeletal mechanics alone (i.e. lever arm mechanics). Using a musculoskeletal numerical model we specifically demonstrate that 1) a single lever morphology can produce a range of output velocities, and 2) a single output velocity can be produced by a drastically different set of lever morphologies. These two sets of simulations quantitatively demonstrate that it is incorrect to assume a one-to-one relationship between lever arm morphology and organism maximum velocity. We then use a statistical analysis to quantify what parameters are determining output velocity, and find that muscle physiology, geometry, and limb mass are all extremely important. Lastly we argue that the functional output of a simple lever is dependent on the dynamic interaction of two opposing factors: those decreasing velocity at low mechanical advantage (low torque and muscle work) and those decreasing velocity at high mechanical advantage (muscle force-velocity effects). These dynamic effects are not accounted for in static analyses and are inconsistent with a force-velocity tradeoff in lever systems. Therefore, we advocate for a dynamic, integrative approach that takes these factors into account when analyzing changes in skeletal levers.Competing Interest StatementThe authors have declared no competing interest.