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      DNA supercoiling in bacteria: state of play and challenges from a viewpoint of physics based modeling

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          Abstract

          DNA supercoiling is central to many fundamental processes of living organisms. Its average level along the chromosome and over time reflects the dynamic equilibrium of opposite activities of topoisomerases, which are required to relax mechanical stresses that are inevitably produced during DNA replication and gene transcription. Supercoiling affects all scales of the spatio-temporal organization of bacterial DNA, from the base pair to the large scale chromosome conformation. Highlighted in vitro and in vivo in the 1960s and 1970s, respectively, the first physical models were proposed concomitantly in order to predict the deformation properties of the double helix. About fifteen years later, polymer physics models demonstrated on larger scales the plectonemic nature and the tree-like organization of supercoiled DNA. Since then, many works have tried to establish a better understanding of the multiple structuring and physiological properties of bacterial DNA in thermodynamic equilibrium and far from equilibrium. The purpose of this essay is to address upcoming challenges by thoroughly exploring the relevance, predictive capacity, and limitations of current physical models, with a specific focus on structural properties beyond the scale of the double helix. We discuss more particularly the problem of DNA conformations, the interplay between DNA supercoiling with gene transcription and DNA replication, its role on nucleoid formation and, finally, the problem of scaling up models. Our primary objective is to foster increased collaboration between physicists and biologists. To achieve this, we have reduced the respective jargon to a minimum and we provide some explanatory background material for the two communities.

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          GROMACS: High performance molecular simulations through multi-level parallelism from laptops to supercomputers

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            Comprehensive mapping of long-range interactions reveals folding principles of the human genome.

            We describe Hi-C, a method that probes the three-dimensional architecture of whole genomes by coupling proximity-based ligation with massively parallel sequencing. We constructed spatial proximity maps of the human genome with Hi-C at a resolution of 1 megabase. These maps confirm the presence of chromosome territories and the spatial proximity of small, gene-rich chromosomes. We identified an additional level of genome organization that is characterized by the spatial segregation of open and closed chromatin to form two genome-wide compartments. At the megabase scale, the chromatin conformation is consistent with a fractal globule, a knot-free, polymer conformation that enables maximally dense packing while preserving the ability to easily fold and unfold any genomic locus. The fractal globule is distinct from the more commonly used globular equilibrium model. Our results demonstrate the power of Hi-C to map the dynamic conformations of whole genomes.
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              CHARMM: the biomolecular simulation program.

              CHARMM (Chemistry at HARvard Molecular Mechanics) is a highly versatile and widely used molecular simulation program. It has been developed over the last three decades with a primary focus on molecules of biological interest, including proteins, peptides, lipids, nucleic acids, carbohydrates, and small molecule ligands, as they occur in solution, crystals, and membrane environments. For the study of such systems, the program provides a large suite of computational tools that include numerous conformational and path sampling methods, free energy estimators, molecular minimization, dynamics, and analysis techniques, and model-building capabilities. The CHARMM program is applicable to problems involving a much broader class of many-particle systems. Calculations with CHARMM can be performed using a number of different energy functions and models, from mixed quantum mechanical-molecular mechanical force fields, to all-atom classical potential energy functions with explicit solvent and various boundary conditions, to implicit solvent and membrane models. The program has been ported to numerous platforms in both serial and parallel architectures. This article provides an overview of the program as it exists today with an emphasis on developments since the publication of the original CHARMM article in 1983. Copyright 2009 Wiley Periodicals, Inc.
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                Author and article information

                Contributors
                Journal
                Front Microbiol
                Front Microbiol
                Front. Microbiol.
                Frontiers in Microbiology
                Frontiers Media S.A.
                1664-302X
                30 October 2023
                2023
                : 14
                : 1192831
                Affiliations
                [1] 1CNRS, UMR 5525, VetAgro Sup, Grenoble INP, TIMC, Université Grenoble Alpes , Grenoble, France
                [2] 2École Normale Supérieure (ENS) de Lyon, CNRS, Laboratoire de Physique and Centre Blaise Pascal de l'ENS de Lyon , Lyon, France
                [3] 3Center for Interdisciplinary Research in Biology (CIRB), Collège de France, CNRS, INSERM, Université PSL , Paris, France
                Author notes

                Edited by: Tamara Basta, UMR9198 Institut de Biologie Intégrative de la Cellule (I2BC), France

                Reviewed by: Rodrigo Reyes, McGill University, Canada; Gregory Marczynski, McGill University, Canada

                *Correspondence: Ivan Junier ivan.junier@ 123456univ-grenoble-alpes.fr
                Article
                10.3389/fmicb.2023.1192831
                10642903
                21def685-106a-4905-af72-e5e24a98b4f4
                Copyright © 2023 Junier, Ghobadpour, Espeli and Everaers.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 23 March 2023
                : 25 September 2023
                Page count
                Figures: 11, Tables: 0, Equations: 0, References: 297, Pages: 28, Words: 26551
                Funding
                IJ and RE received funding from CNRS 80 Prime (MIMIC project), and IJ and OE from ANR-21-CE12-0032 (SISTERS project).
                Categories
                Microbiology
                Review
                Custom metadata
                Microbial Physiology and Metabolism

                Microbiology & Virology
                dna supercoiling,bacterial dna,physical modeling,dna replication,gene transcription,nucleoid,multi-scale modeling

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