Confinement anisotropy drives polar organization of two DNA molecules interacting in a nanoscale cavity

Zezhou Liu (), Xavier Capaldi, Lili Zeng, Yuning Zhang, Rodrigo Reyes-Lamothe and Walter Reisner ()
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Zezhou Liu: McGill University
Xavier Capaldi: McGill University
Lili Zeng: McGill University
Yuning Zhang: McGill University
Rodrigo Reyes-Lamothe: McGill University
Walter Reisner: McGill University

Nature Communications, 2022, vol. 13, issue 1, 1-12

Abstract: Abstract There is growing appreciation for the role phase transition based phenomena play in biological systems. In particular, self-avoiding polymer chains are predicted to undergo a unique confinement dependent demixing transition as the anisotropy of the confined space is increased. This phenomenon may be relevant for understanding how interactions between multiple dsDNA molecules can induce self-organized structure in prokaryotes. While recent in vivo experiments and Monte Carlo simulations have delivered essential insights into this phenomenon and its relation to bacteria, there are fundamental questions remaining concerning how segregated polymer states arise, the role of confinement anisotropy and the nature of the dynamics in the segregated states. To address these questions, we introduce an artificial nanofluidic model to quantify the interactions of multiple dsDNA molecules in cavities with controlled anisotropy. We find that two dsDNA molecules of equal size confined in an elliptical cavity will spontaneously demix and orient along the cavity poles as cavity eccentricity is increased; the two chains will then swap pole positions with a frequency that decreases with increasing cavity eccentricity. In addition, we explore a system consisting of a large dsDNA molecule and a plasmid molecule. We find that the plasmid is excluded from the larger molecule and will exhibit a preference for the ellipse poles, giving rise to a non-uniform spatial distribution in the cavity that may help explain the non-uniform plasmid distribution observed during in vivo imaging of high-copy number plasmids in bacteria.

Date: 2022
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DOI: 10.1038/s41467-022-31398-x

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