Unknown

Dataset Information

0

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


ABSTRACT: 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.

SUBMITTER: Rieger FC 

PROVIDER: S-EPMC5025000 | biostudies-literature | 2016 Sep

REPOSITORIES: biostudies-literature

altmetric image

Publications

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

Rieger Florian C FC   Virnau Peter P  

PLoS computational biology 20160915 9


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 a  ...[more]

Similar Datasets

| S-EPMC10266668 | biostudies-literature
| S-EPMC10294226 | biostudies-literature
| S-EPMC2712212 | biostudies-literature
| S-EPMC9648196 | biostudies-literature
| S-EPMC10909586 | biostudies-literature
| S-EPMC10082974 | biostudies-literature
| S-EPMC1345706 | biostudies-literature
| S-EPMC4571024 | biostudies-literature
| S-EPMC6125312 | biostudies-literature
| S-EPMC3223366 | biostudies-literature