This Article Full Text Full Text (PDF) All Versions of this Article: biophysj.106.082289v1 91/9/3359    most recent Alert me when this article is cited Alert me if a correction is posted Services Similar articles in this journal Similar articles in PubMed Alert me to new issues of the journal Download to citation manager Citing Articles Citing Articles via Google Scholar Google Scholar Articles by Smith, D. Articles by Sleep, J. Search for Related Content PubMed PubMed Citation Articles by Smith, D. Articles by Sleep, J.

Strain-Dependent Kinetics of the Myosin Working Stroke, and How They Could Be Probed with Optical-Trap Experiments

David Smith ^* and John Sleep 

^* Department of Physiology, Monash University, Clayton, Victoria, Australia; and Randall Centre, King's College London, London, United Kingdom

Correspondence: Address reprint requests to David Smith, Dept. of Physiology, Monash University, Clayton, Victoria 3800, Australia. E-mail: david.smith{at}med.monash.edu.au.

The strain-dependent kinetics of the myosin working stroke under load is derived from a flat-energy-landscape model for its untethered lever-arm, and compared with other scenarios in the literature. The "flat landscape" scenario is compatible with muscle-fiber experiments, but is more critically relevant to single-myosin experiments with an optically trapped actin filament. In such experiments, the strain dependence of stroke kinetics may be explored by comparing event-averaged and time-averaged displacements of the filament. With a specific kinetic model of the cross-bridge cycle, we have previously shown that the event-averaged displacement underestimates the working stroke. Here we predict that the two kinds of averaging give diverging estimates of the working stroke as the resolving time of the event detector is decreased to 1 ms or less, the discrepancy being critically dependent on the strain dependence of the stroke rate. Such analysis of trap displacement data offers the possibility of testing the strain-dependent stroke rate predicted by the flat-landscape model.