Relaxation time asymmetry in stator dynamics of the bacterial flagellar motor

Construction of self-propelled micromotor for "hunting bacteria"

The inherent migration behavior of bacteria has inevitably impacted the advancement of the antibacterial treatment technology. Hunting bacteria, especially those with flagellates, requires self-propelled materials, which could kill bacteria autonomously. Herein, we designed and synthesized a self-propelled micromotor (SPM) tailed with poly(thiazole) to yield bimetallic organic frameworks (BiOFs), in which the assembly of BiOFs are similar to the "Newman projection". The moving speed of the obtained SPM was 238.6 μm s-1 and presented excellent antibacterial activity; more than 90% bacteria were hunted and killed in flowing water. Its minimum inhibitory concentration (MIC) against E. coli and S. aureus was 3.2 and 0.4 mg mL-1, respectively, and its antibacterial activity was still retained after recycling for 5 times. Its antibacterial mechanism along with the contribution of the active units and flow rate was investigated. In summary, a novel self-propelled material for hunting bacteria was synthesized by an unprecedented and efficient strategy. This approach is anticipated to create huge possibilities for its applications in the fields of antibacterial, disinfection, and microdevices.

A multi-state dynamic process confers mechano-adaptation to a biological nanomachine

Adaptation is a defining feature of living systems. The bacterial flagellar motor adapts to changes in the external mechanical load by adding or removing torque-generating (stator) units. But the molecular mechanism behind this mechano-adaptation remains unclear. Here, we combine single motor eletrorotation experiments and theoretical modeling to show that mechano-adaptation of the flagellar motor is enabled by multiple mechanosensitive internal states. Dwell time statistics from experiments suggest the existence of at least two bound states with a high and a low unbinding rate, respectively. A first-passage-time analysis of a four-state model quantitatively explains the experimental data and determines the transition rates among all four states. The torque generated by bound stator units controls their effective unbinding rate by modulating the transition between the bound states, possibly via a catch bond mechanism. Similar force-mediated feedback enabled by multiple internal states may apply to adaptation in other macromolecular complexes.

Combining experiments with modeling, Wadhwa et al. propose a model for mechano-adaptation in the bacterial flagellar motor, finding that load-dependent transitions between multiple internal states govern the binding and unbinding of subunits.