title: Thermodynamics of long supercoiled molecules: insights from highly efficient Monte Carlo simulations.
abstract: Supercoiled DNA polymer models for which the torsional energy depends on the total twist of molecules (Tw) are a priori well suited for thermodynamic analysis of long molecules. So far, nevertheless, the exact determination of Tw in these models has been based on a computation of the writhe of the molecules (Wr) by exploiting the conservation of the linking number, Lk=Tw+Wr, which reflects topological constraints coming from the helical nature of DNA. Because Wr is equal to the number of times the main axis of a DNA molecule winds around itself, current Monte Carlo algorithms have a quadratic time complexity, O(L(2)), with respect to the contour length (L) of the molecules. Here, we present an efficient method to compute Tw exactly, leading in principle to algorithms with a linear complexity, which in practice is O(L(1.2)). Specifically, we use a discrete wormlike chain that includes the explicit double-helix structure of DNA and where the linking number is conserved by continuously preventing the generation of twist between any two consecutive cylinders of the discretized chain. As an application, we show that long (up to 21 kbp) linear molecules stretched by mechanical forces akin to magnetic tweezers contain, in the buckling regime, multiple and branched plectonemes that often coexist with curls and helices, and whose length and number are in good agreement with experiments. By attaching the ends of the molecules to a reservoir of twists with which these can exchange helix turns, we also show how to compute the torques in these models. As an example, we report values that are in good agreement with experiments and that concern the longest molecules that have been studied so far (16 kbp).
authors.affiliation: Institute of Systems and Synthetic Biology, Genopole, CNRS, University of Évry, Évry, France; Laboratoire Adaptation et Pathogénie des Micro-organismes-UMR 5163, Université Grenoble 1, CNRS, Grenoble, France.
authors.forename: Thibaut
authors.initials: T
authors.lastname: Lepage
authors.affiliation: Institute of Systems and Synthetic Biology, Genopole, CNRS, University of Évry, Évry, France; Department of BioEngineering, Imperial College London, London, United Kingdom.
authors.forename: François
authors.initials: F
authors.lastname: Képès
authors.affiliation: Laboratoire Adaptation et Pathogénie des Micro-organismes-UMR 5163, Université Grenoble 1, CNRS, Grenoble, France; Centre for Genomic Regulation (CRG), Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain. Electronic address: ivan.junier@ujf-grenoble.fr.
authors.forename: Ivan
authors.initials: I
authors.lastname: Junier
mesh_terms: D000465:Algorithms; D003198:Computer Simulation; D004278:DNA, Superhelical / Q000737:chemistry*; D008956:Models, Chemical; D008957:Models, Genetic; D009010:Monte Carlo Method; D013816:Thermodynamics; D054159:Torsion, Mechanical
chemical_list: D004278:DNA, Superhelical