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A Monte Carlo Study of Knots in Long Double-Stranded DNA Chains

We determine knotting probabilities and typical sizes of knots in double-stranded DNA for chains of up to half a million base pairs with computer simulations of a coarse-grained bead-stick model: Single trefoil knots and composite knots which include at least one trefoil as a prime factor are shown...

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Detalles Bibliográficos
Autores principales: Rieger, Florian C., Virnau, Peter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5025000/
https://www.ncbi.nlm.nih.gov/pubmed/27631891
http://dx.doi.org/10.1371/journal.pcbi.1005029
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author Rieger, Florian C.
Virnau, Peter
author_facet Rieger, Florian C.
Virnau, Peter
author_sort Rieger, Florian C.
collection PubMed
description We determine knotting probabilities and typical sizes of knots in double-stranded DNA for chains of up to half a million base pairs with computer simulations of a coarse-grained bead-stick model: Single trefoil knots and composite knots which include at least one trefoil as a prime factor are shown to be common in DNA chains exceeding 250,000 base pairs, assuming physiologically relevant salt conditions. The analysis is motivated by the emergence of DNA nanopore sequencing technology, as knots are a potential cause of erroneous nucleotide reads in nanopore sequencing devices and may severely limit read lengths in the foreseeable future. Even though our coarse-grained model is only based on experimental knotting probabilities of short DNA strands, it reproduces the correct persistence length of DNA. This indicates that knots are not only a fine gauge for structural properties, but a promising tool for the design of polymer models.
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spelling pubmed-50250002016-09-27 A Monte Carlo Study of Knots in Long Double-Stranded DNA Chains Rieger, Florian C. Virnau, Peter PLoS Comput Biol Research Article We determine knotting probabilities and typical sizes of knots in double-stranded DNA for chains of up to half a million base pairs with computer simulations of a coarse-grained bead-stick model: Single trefoil knots and composite knots which include at least one trefoil as a prime factor are shown to be common in DNA chains exceeding 250,000 base pairs, assuming physiologically relevant salt conditions. The analysis is motivated by the emergence of DNA nanopore sequencing technology, as knots are a potential cause of erroneous nucleotide reads in nanopore sequencing devices and may severely limit read lengths in the foreseeable future. Even though our coarse-grained model is only based on experimental knotting probabilities of short DNA strands, it reproduces the correct persistence length of DNA. This indicates that knots are not only a fine gauge for structural properties, but a promising tool for the design of polymer models. Public Library of Science 2016-09-15 /pmc/articles/PMC5025000/ /pubmed/27631891 http://dx.doi.org/10.1371/journal.pcbi.1005029 Text en © 2016 Rieger, Virnau http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Rieger, Florian C.
Virnau, Peter
A Monte Carlo Study of Knots in Long Double-Stranded DNA Chains
title A Monte Carlo Study of Knots in Long Double-Stranded DNA Chains
title_full A Monte Carlo Study of Knots in Long Double-Stranded DNA Chains
title_fullStr A Monte Carlo Study of Knots in Long Double-Stranded DNA Chains
title_full_unstemmed A Monte Carlo Study of Knots in Long Double-Stranded DNA Chains
title_short A Monte Carlo Study of Knots in Long Double-Stranded DNA Chains
title_sort monte carlo study of knots in long double-stranded dna chains
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5025000/
https://www.ncbi.nlm.nih.gov/pubmed/27631891
http://dx.doi.org/10.1371/journal.pcbi.1005029
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