6533b829fe1ef96bd128a9a4
RESEARCH PRODUCT
A Monte Carlo Study of Knots in Long Double-Stranded DNA Chains.
Rieger Florian CVirnau Petersubject
PolymersMaterials by StructureMolecular biologyMaterials ScienceElectrophoretic techniquesDNA electrophoresisNucleotide SequencingMolecular Dynamics SimulationBiochemistryNanoporesSequencing techniquesMathematical and Statistical Techniquesstomatognathic systemGeneticsBiochemical SimulationsNanotechnologyDNA sequencingMaterials by AttributeNanomaterialsQuantitative Biology::BiomoleculesBiology and life sciencesMathematical Modelsfood and beveragesComputational BiologyDNAPolymer ChemistryMathematics::Geometric TopologyResearch and analysis methodsNucleic acidsChemistrysurgical procedures operativeMolecular biology techniquesMacromoleculesRandom WalkPhysical SciencesNucleic Acid ConformationEngineering and TechnologyMonte Carlo MethodResearch Articledescription
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.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2016-02-22 | PLoS computational biology |