Conserved linear dynamics of single-molecule Brownian motion

Handle URI:
http://hdl.handle.net/10754/624878
Title:
Conserved linear dynamics of single-molecule Brownian motion
Authors:
Serag, Maged F. ( 0000-0002-6153-1089 ) ; Habuchi, Satoshi ( 0000-0002-6663-2807 )
Abstract:
Macromolecular diffusion in homogeneous fluid at length scales greater than the size of the molecule is regarded as a random process. The mean-squared displacement (MSD) of molecules in this regime increases linearly with time. Here we show that non-random motion of DNA molecules in this regime that is undetectable by the MSD analysis can be quantified by characterizing the molecular motion relative to a latticed frame of reference. Our lattice occupancy analysis reveals unexpected sub-modes of motion of DNA that deviate from expected random motion in the linear, diffusive regime. We demonstrate that a subtle interplay between these sub-modes causes the overall diffusive motion of DNA to appear to conform to the linear regime. Our results show that apparently random motion of macromolecules could be governed by non-random dynamics that are detectable only by their relative motion. Our analytical approach should advance broad understanding of diffusion processes of fundamental relevance.
KAUST Department:
Biological and Environmental Sciences and Engineering (BESE) Division
Citation:
Serag MF, Habuchi S (2017) Conserved linear dynamics of single-molecule Brownian motion. Nature Communications 8: 15675. Available: http://dx.doi.org/10.1038/ncomms15675.
Publisher:
Springer Nature
Journal:
Nature Communications
KAUST Grant Number:
CRF-2015-2646-CRG4
Issue Date:
6-Jun-2017
DOI:
10.1038/ncomms15675
Type:
Article
ISSN:
2041-1723
Sponsors:
The research reported in this publication was supported by funding from King Abdullah University of Science and Technology (KAUST) and the KAUST Office of Sponsored Research (OSR) under Award No. CRF-2015-2646-CRG4. We would like to thank Matthijs van Waveren, Antonio M. Arena and Alain Clo of KAUST IT Research Computing and Amine El Helou of MathWorks Ltd for their precious help in speeding up the MATLAB analysis and for providing the KAUST high performance computing (HPC) Add-on for the direct submission of the MATLAB script to the KAUST Noor computer clusters. We thank Virginia Unkefer and Lina Mynar for editing the manuscript.
Additional Links:
https://www.nature.com/articles/ncomms15675
Appears in Collections:
Articles; Biological and Environmental Sciences and Engineering (BESE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorSerag, Maged F.en
dc.contributor.authorHabuchi, Satoshien
dc.date.accessioned2017-06-08T09:42:43Z-
dc.date.available2017-06-08T09:42:43Z-
dc.date.issued2017-06-06en
dc.identifier.citationSerag MF, Habuchi S (2017) Conserved linear dynamics of single-molecule Brownian motion. Nature Communications 8: 15675. Available: http://dx.doi.org/10.1038/ncomms15675.en
dc.identifier.issn2041-1723en
dc.identifier.doi10.1038/ncomms15675en
dc.identifier.urihttp://hdl.handle.net/10754/624878-
dc.description.abstractMacromolecular diffusion in homogeneous fluid at length scales greater than the size of the molecule is regarded as a random process. The mean-squared displacement (MSD) of molecules in this regime increases linearly with time. Here we show that non-random motion of DNA molecules in this regime that is undetectable by the MSD analysis can be quantified by characterizing the molecular motion relative to a latticed frame of reference. Our lattice occupancy analysis reveals unexpected sub-modes of motion of DNA that deviate from expected random motion in the linear, diffusive regime. We demonstrate that a subtle interplay between these sub-modes causes the overall diffusive motion of DNA to appear to conform to the linear regime. Our results show that apparently random motion of macromolecules could be governed by non-random dynamics that are detectable only by their relative motion. Our analytical approach should advance broad understanding of diffusion processes of fundamental relevance.en
dc.description.sponsorshipThe research reported in this publication was supported by funding from King Abdullah University of Science and Technology (KAUST) and the KAUST Office of Sponsored Research (OSR) under Award No. CRF-2015-2646-CRG4. We would like to thank Matthijs van Waveren, Antonio M. Arena and Alain Clo of KAUST IT Research Computing and Amine El Helou of MathWorks Ltd for their precious help in speeding up the MATLAB analysis and for providing the KAUST high performance computing (HPC) Add-on for the direct submission of the MATLAB script to the KAUST Noor computer clusters. We thank Virginia Unkefer and Lina Mynar for editing the manuscript.en
dc.publisherSpringer Natureen
dc.relation.urlhttps://www.nature.com/articles/ncomms15675en
dc.rightsThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/en
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.titleConserved linear dynamics of single-molecule Brownian motionen
dc.typeArticleen
dc.contributor.departmentBiological and Environmental Sciences and Engineering (BESE) Divisionen
dc.identifier.journalNature Communicationsen
dc.eprint.versionPublisher's Version/PDFen
kaust.authorSerag, Maged F.en
kaust.authorHabuchi, Satoshien
kaust.grant.numberCRF-2015-2646-CRG4en
All Items in KAUST are protected by copyright, with all rights reserved, unless otherwise indicated.