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Comparative Hi-C reveals that CTCF underlies evolution of chromosomal domain architecture.

ABSTRACT: Topological domains are key architectural building blocks of chromosomes, but their functional importance and evolutionary dynamics are not well defined. We performed comparative high-throughput chromosome conformation capture (Hi-C) in four mammals and characterized the conservation and divergence of chromosomal contact insulation and the resulting domain architectures within distantly related genomes. We show that the modular organization of chromosomes is robustly conserved in syntenic regions and that this is compatible with conservation of the binding landscape of the insulator protein CTCF. Specifically, conserved CTCF sites are co-localized with cohesin, are enriched at strong topological domain borders, and bind to DNA motifs with orientations that define the directionality of CTCF's long-range interactions. Conversely, divergent CTCF binding between species is correlated with divergence of internal domain structure, likely driven by local CTCF binding sequence changes, demonstrating how genome evolution can be linked to a continuous flux of local conformation changes. We also show that large-scale domains are reorganized during genome evolution as intact modules.

SUBMITTER: Vietri Rudan M

PROVIDER: S-EPMC4542312 | biostudies-literature | 2015 Mar

REPOSITORIES: biostudies-literature

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Comparative Hi-C reveals that CTCF underlies evolution of chromosomal domain architecture.

Vietri Rudan Matteo M Barrington Christopher C Henderson Stephen S Ernst Christina C Odom Duncan T DT Tanay Amos A Hadjur Suzana S

Cell reports 20150226 8

Topological domains are key architectural building blocks of chromosomes, but their functional importance and evolutionary dynamics are not well defined. We performed comparative high-throughput chromosome conformation capture (Hi-C) in four mammals and characterized the conservation and divergence of chromosomal contact insulation and the resulting domain architectures within distantly related genomes. We show that the modular organization of chromosomes is robustly conserved in syntenic region ...[more]

PMID: 25732821

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Project description:MotivationSimulation is an essential technique for generating biomolecular data with a 'known' history for use in validating phylogenetic inference and other evolutionary methods. On longer time scales, simulation supports investigations of equilibrium behavior and provides a formal framework for testing competing evolutionary hypotheses. Twenty years of molecular evolution research have produced a rich repertoire of simulation methods. However, current models do not capture the stringent constraints acting on the domain insertions, duplications, and deletions by which multidomain architectures evolve. Although these processes have the potential to generate any combination of domains, only a tiny fraction of possible domain combinations are observed in nature. Modeling these stringent constraints on domain order and co-occurrence is a fundamental challenge in domain architecture simulation that does not arise with sequence and gene family simulation.ResultsHere, we introduce a stochastic model of domain architecture evolution to simulate evolutionary trajectories that reflect the constraints on domain order and co-occurrence observed in nature. This framework is implemented in a novel domain architecture simulator, DomArchov, using the Metropolis-Hastings algorithm with data-driven transition probabilities. The use of a data-driven event module enables quick and easy redeployment of the simulator for use in different taxonomic and protein function contexts. Using empirical evaluation with metazoan datasets, we demonstrate that domain architectures simulated by DomArchov recapitulate properties of genuine domain architectures that reflect the constraints on domain order and adjacency seen in nature. This work expands the realm of evolutionary processes that are amenable to simulation.Availability and implementationDomArchov is written in Python 3 and is available at http://www.cs.cmu.edu/~durand/DomArchov. The data underlying this article are available via the same link.Supplementary informationSupplementary data are available at Bioinformatics online.

Dataset Information

Comparative Hi-C reveals that CTCF underlies evolution of chromosomal domain architecture.

Publications

Comparative Hi-C reveals that CTCF underlies evolution of chromosomal domain architecture.

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