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      Modeling the 3D genome of plants

      review-article
      a , b
      Nucleus
      Taylor & Francis
      Plants, 3D genome, chromosome modeling, polymer simulations, epigenome, Hi-C

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          ABSTRACT

          Chromosomes are the carriers of inheritable traits and define cell function and development. This is not only based on the linear DNA sequence of chromosomes but also on the additional molecular information they are associated with, including the transcription machinery, histone modifications, and their three-dimensional folding. The synergistic application of experimental approaches and computer simulations has helped to unveil how these organizational layers of the genome interplay in various organisms. However, such multidisciplinary approaches are still rarely explored in the plant kingdom. Here, we provide an overview of our current knowledge on plant 3D genome organization and review recent efforts to integrate cutting-edge experiments from microscopy and next-generation sequencing approaches with theoretical models. Building on these recent approaches, we propose possible avenues to extend the application of theoretical modeling in the characterization of the 3D genome organization in plants.

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          Most cited references158

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          NCBI GEO: archive for functional genomics data sets—update

          The Gene Expression Omnibus (GEO, http://www.ncbi.nlm.nih.gov/geo/) is an international public repository for high-throughput microarray and next-generation sequence functional genomic data sets submitted by the research community. The resource supports archiving of raw data, processed data and metadata which are indexed, cross-linked and searchable. All data are freely available for download in a variety of formats. GEO also provides several web-based tools and strategies to assist users to query, analyse and visualize data. This article reports current status and recent database developments, including the release of GEO2R, an R-based web application that helps users analyse GEO data.
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            A 3D map of the human genome at kilobase resolution reveals principles of chromatin looping.

            We use in situ Hi-C to probe the 3D architecture of genomes, constructing haploid and diploid maps of nine cell types. The densest, in human lymphoblastoid cells, contains 4.9 billion contacts, achieving 1 kb resolution. We find that genomes are partitioned into contact domains (median length, 185 kb), which are associated with distinct patterns of histone marks and segregate into six subcompartments. We identify ∼10,000 loops. These loops frequently link promoters and enhancers, correlate with gene activation, and show conservation across cell types and species. Loop anchors typically occur at domain boundaries and bind CTCF. CTCF sites at loop anchors occur predominantly (>90%) in a convergent orientation, with the asymmetric motifs "facing" one another. The inactive X chromosome splits into two massive domains and contains large loops anchored at CTCF-binding repeats. Copyright © 2014 Elsevier Inc. All rights reserved.
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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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                Author and article information

                Journal
                Nucleus
                Nucleus
                Nucleus
                Taylor & Francis
                1949-1034
                1949-1042
                31 May 2021
                2021
                31 May 2021
                : 12
                : 1
                : 65-81
                Affiliations
                [a ]Institute of Human Genetics, Centre National de la Recherche Scientifique, University of Montpellier; , Montpellier, France
                [b ]The Milner Centre for Evolution, Department of Biology and Biochemistry, University of Bath; , Bath, UK
                Author notes
                CONTACT Marco Di Stefano H.Nuetzmann@ 123456bath.ac.uk The Milner Centre for Evolution, Department of Biology and Biochemistry, University of Bath; , BathBA2 7AY, United Kingdom
                Hans-Wilhelm Nützmann hwn25@ 123456bath.ac.uk Marco Di Stefano Institute of Human Genetics, Centre National de la Recherche Scientifique, University of Montpellier, Montpellier, France
                Article
                1927503
                10.1080/19491034.2021.1927503
                8168717
                34057011
                1e986963-fddd-4686-8318-fd1ec2ea4e2f
                © 2021 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.

                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 work is properly cited.

                History
                Page count
                Figures: 3, References: 159, Pages: 17
                Categories
                Review
                Review

                Molecular biology
                plants,3d genome,chromosome modeling,polymer simulations,epigenome,hi-c
                Molecular biology
                plants, 3d genome, chromosome modeling, polymer simulations, epigenome, hi-c

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