Studying the Bacterial Flagellar Motor using an Optical Torque Wrench

Biophysical Journal Elsevier 102:3 (2012) 12a-13a

Authors:

Maarten van Oene, Francesco Pedaci, Zhuangxiong Huang, Remko van Luik, Ren Lim, Richard Berry, Nynke Dekker

1A1534 Sodium Dynamics of the Bacterial Flagellar Motor(Molecular Motors I,Oral Presentation,The 50th Annual Meeting of the Biophysical Society of Japan)

Seibutsu Butsuri Biophysical Society of Japan 52:supplement (2012) s20

Authors:

Chien-Jung Lo, Yoshiyuki Sowa, Teuta Pilizota, Richard Berry

8.4 The Rotary Bacterial Flagellar Motor

Chapter in Comprehensive Biophysics, Elsevier (2012) 50-71

Authors:

Y Sowa, RM Berry

Abstract:

Bacterial cell envelopes often contain a flagellar motor – a reversible rotary nanomachine with an approximate diameter of 45nm – that allows cells to swim. Power is provided by the movement of H+ or Na+ down the electrochemical gradients across the cytoplasmic membrane, often termed the proton motive force or sodium motive force. A helical filament is rotated by each motor at several hundred revolutions per second. In many species, the motor switches direction stochastically; switching rates are controlled by a network of sensory and signaling proteins. The first direct observation, approximately 40 years ago, of the function of a single molecular motor was of the bacterial flagellar motor. Nevertheless, due to the large size and complexity of the motor, much remains to be discovered about this nanomachine, particularly the many structural details of the torque-generating mechanism. This chapter summarizes what has been learned about the structure and function of the motor with a focus on recent observations, particularly those obtained using single molecule techniques.

Energy Transduction by the Two Molecular Motors of the F1Fo ATP Synthase

Chapter in Photosynthesis, Springer Nature 34 (2012) 561-590

Authors:

David Spetzler, Robert Ishmukhametov, Tassilo Hornung, James Martin, Justin York, Lixia Jin-Day, Wayne D Frasch

Steps and bumps: Precision extraction of discrete states of molecular machines

Biophysical Journal 101:2 (2011) 477-485

Authors:

MA Little, BC Steel, F Bai, Y Sowa, T Bilyard, DM Mueller, RM Berry, NS Jones

Abstract:

We report statistical time-series analysis tools providing improvements in the rapid, precision extraction of discrete state dynamics from time traces of experimental observations of molecular machines. By building physical knowledge and statistical innovations into analysis tools, we provide techniques for estimating discrete state transitions buried in highly correlated molecular noise. We demonstrate the effectiveness of our approach on simulated and real examples of steplike rotation of the bacterial flagellar motor and the F1-ATPase enzyme. We show that our method can clearly identify molecular steps, periodicities and cascaded processes that are too weak for existing algorithms to detect, and can do so much faster than existing algorithms. Our techniques represent a step in the direction toward automated analysis of high-sample-rate, molecular-machine dynamics. Modular, open-source software that implements these techniques is provided. © 2011 Biophysical Society.