Continuous-time random walk model for the diffusive motion of helicases

DNA helicases are molecular motors that use the energy from ATP hydrolysis to move along DNA, promoting the unwinding or rewinding of the double helix. Here, we use magnetic and optical tweezers to track the motion of three helicases, gp41, RecQ, and RecG, while they unwind or rewind a DNA hairpin. Their activity is characterized by measuring the helicase rate and diffusivity under different force and ATP conditions. We use a Continuous-Time Random Walk framework that allows us to compute the mean helicase displacement and its fluctuations analytically. Fitting the model to the measured helicase velocity and diffusivity allows us to determine the states and transitions in the helicase mechanochemical cycle. A general feature for all helicases is the need to incorporate an off-pathway pausing state to reproduce the data, raising the question of whether pauses play a regulatory role. Finally, we determine the thermodynamic uncertainty factor and the motor efficiency, finding that the rewinding RecG helicase reaches high efficiencies that approach 100$\%$ when operating uphill. Incorporating the analysis of fluctuations allows to better characterize the activity of molecular machines, which represents an advance in the field.

Publication Details

Journal
ArXiv.org
Published
2025-03-19
Primary Topic
DNA and Nucleic Acid Chemistry
Type
article
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article

Continuous-time random walk model for the diffusive motion of helicases

ArXiv.org
DNA and Nucleic Acid Chemistry
article

Continuous-time random walk model for the diffusive motion of helicases

article en

Abstract

DNA helicases are molecular motors that use the energy from ATP hydrolysis to move along DNA, promoting the unwinding or rewinding of the double helix. Here, we use magnetic and optical tweezers to track the motion of three helicases, gp41, RecQ, and RecG, while they unwind or rewind a DNA hairpin. Their activity is characterized by measuring the helicase rate and diffusivity under different force and ATP conditions. We use a Continuous-Time Random Walk framework that allows us to compute the mean helicase displacement and its fluctuations analytically. Fitting the model to the measured helicase velocity and diffusivity allows us to determine the states and transitions in the helicase mechanochemical cycle. A general feature for all helicases is the need to incorporate an off-pathway pausing state to reproduce the data, raising the question of whether pauses play a regulatory role. Finally, we determine the thermodynamic uncertainty factor and the motor efficiency, finding that the rewinding RecG helicase reaches high efficiencies that approach 100$\%$ when operating uphill. Incorporating the analysis of fluctuations allows to better characterize the activity of molecular machines, which represents an advance in the field.

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Continuous-time random walk model for the diffusive motion of helicases · ArXiv.org (2025) | TGRS Research Map | TGRS