Dataset Information

A novel nucleoid-associated protein coordinates asymmetric chromosome replication and chromosome partitioning

ABSTRACT: We searched for regulators of chromosome replication in the cell cycle model Caulobacter crescentus and found a novel DNA-binding protein that selectively aids both the initiation of chromosome replication and the initial steps of chromosome partitioning. We identified and purified a protein (OpaA) that binds the chromosome origin of replication (Cori) and its higher-affinity binding to mutated Cori-DNA that increases Cori-plasmid replication in vivo. opaA gene expression is essential for normal growth and sufficient OpaA levels are required for the correct timing of chromosome replication. Whole genome ChIP-seq identified dynamic DNA-binding distributions for OpaA, with the strongest associations at the partitioning (parABS) locus near Cori. Using molecular-genetic and fluorescence microscopy experiments, we showed that OpaA also promotes the first steps of chromosome partitioning, the initial separation of the duplicated parS loci following Cori replication. This separation occurs before the parABS-dependent partitioning and it coincides with the poorly defined mechanism(s) that establishes chromosome asymmetry: C. crescentus chromosomes are partitioned to distinct cell-poles which develop into replicating and non-replicating cell-types. We propose that OpaA coordinates chromosome replication with asymmetry-establishing chromosome separation, noting that both roles are consistent with the phylogenetic restriction of opaA to asymmetrically dividing bacteria that avoid multi-fork replication.

ORGANISM(S): Caulobacter vibrioides

PROVIDER: GSE95535 | GEO | 2017/11/01

SECONDARY ACCESSION(S): PRJNA377338

REPOSITORIES: GEO

ACCESS DATA

Similar Datasets

Project description:Eukaryotic chromosomes replicate in a temporal order known as the replication-timing program. In mammals, replication timing is cell type-specific with at least half the genome switching replication timing during development, primarily in units of 400-800 kilobases ('replication domains;), whose positions are preserved in different cell types, conserved between species, and appear to confine long-range effects of chromosome rearrangements. Early and late replication correlate, respectively, with open and closed three-dimensional chromatin compartments identified by high-resolution chromosome conformation capture (Hi-C), and, to a lesser extent, late replication correlates with lamina-associated domains (LADs). Recent Hi-C mapping has unveiled substructure within chromatin compartments called topologically associating domains (TADs) that are largely conserved in their positions between cell types and are similar in size to replication domains. However, TADs can be further sub-stratified into smaller domains, challenging the significance of structures at any particular scale.Moreover, attempts to reconcile TADs and LADs to replication-timing data have not revealed a common, underlying domain structure. Here we localize boundaries of replication domains to the early-replicating border of replication-timing transitions and map their positions in 18 human and 13 mouse cell types. We demonstrate that, collectively, replication domain boundaries share a near one-to-one correlation with TAD boundaries, whereas within a cell type, adjacent TADs that replicate at similar times obscure replication domain boundaries, largely accounting for the previously reported lack of alignment. Moreover, cell-type-specific replication timing of TADs partitions the genome into two large-scale sub-nuclear compartments revealing that replication-timing transitions are indistinguishable from late-replicating regions in chromatin composition and lamina association and accounting for the reduced correlation of replication timing to LADs and heterochromatin. Our results reconcile cell-type-specific sub-nuclear compartmentalization and replication timing with developmentally stable structural domains and offer a unified model for large-scale chromosome structure and function.

Project description:This a model from the article: A Quantitative Study of the Division Cycle of Caulobacter crescentus Stalked Cells. Shenghua Li, Paul Brazhnik, Bruno Sobral, John J. Tyson PLoS Comput Biol 2008 Jan 25:4(1): e9 18225942 , Abstract: Progression of a cell through the division cycle is tightly controlled at different steps to ensure the integrity of genome replication and partitioning to daughter cells. From published experimental evidence, we propose a molecular mechanism for control of the cell division cycle in Caulobacter crescentus. The mechanism, which is based on the synthesis and degradation of three ‘‘master regulator’’ proteins (CtrA, GcrA, and DnaA), is converted into a quantitative model, in order to study the temporal dynamics of these and other cell cycle proteins. The model accounts for important details of the physiology, biochemistry, and genetics of cell cycle control in stalked C. crescentus cell. It reproduces protein time courses in wild-type cells, mimics correctly the phenotypes of many mutant strains, and predicts the phenotypes of currently uncharacterized mutants. Since many of the proteins involved in regulating the cell cycle of C. crescentus are conserved among many genera of a-proteobacteria, the proposed mechanism may be applicable to other species of importance in agriculture and medicine. In summary, you are entitled to use this encoded model in absolutely any manner you deem suitable, verbatim, or with modification, alone or embedded it in a larger context, redistribute it, commercially or not, in a restricted way or not.. To cite BioModels Database, please use: Li C, Donizelli M, Rodriguez N, Dharuri H, Endler L, Chelliah V, Li L, He E, Henry A, Stefan MI, Snoep JL, Hucka M, Le Novère N, Laibe C (2010) BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models. BMC Syst Biol., 4:92.

Project description:Eukaryotic DNA replication initiates from multiple sites on each chromosome called replication origins. In the budding yeast Saccharomyces cerevisiae, origins are defined at discrete sites. Regular spacing and diverse firing characteristics of origins are thought to be required for efficient completion of replication, especially in the presence of replication stress. However, a S. cerevisiae chromosome III harboring multiple origin deletions has been reported to replicate relatively normally, and yet how an origin-deficient chromosome could accomplish successful replication remains unkown. To address this issue, we deleted seven well-characterized origins from chromosome VI, and found that thsese deletions do not cause gross growth defects even in the presence of replication inhibitors. We demonstrated that the origin deletions do cause a strong decrease in the binding of the origin recognition complex. Unexpectedly, replication profiling of this chromosome showed that DNA replication initiates from non-canonical loci around deleted origins in yeast. These results suggest that replication initiation can be unexpectedly flexible in this organism. In this study, we aimed to establish an independent system to investigate how an origin-deficient chromosome is replicated. To this end, we systematically deleted seven well-characterized origins on the left arm of S. cerevisiae chromosome VI and analyzed (1) Orc2 localization during G2/M arrest and (2) BrdU incorporation during synchronous release from G1 arrest into S-phase, and compared the results to wild-type cell signals. For Orc2 ChIP-Chip experiments, Orc-bound DNA was isolated from Orc2-2Xlinker-3XFlag epitope-tagged cells arrested in G2/M using antibodies against Flag. For BrdU ChIP-Chip experiments, actively replicating DNA was isolated from cells harboring a single integrated BrdU incorporation vector released synchronously into 200mM HU using antibodies against BrdU. Immunoprecipitated and input (Orc2) or G1 (BrdU) DNA was then amplified and competitively hybridized to high-resolution strand-specific microarrays covering chromosomes III, VI, and XII.

Project description:This a model from the article: A Data-Driven, Mathematical Model of Mammalian Cell Cycle Regulation. Michael C. Weis, Jayant Avva, James W. Jacobberger, Sree N. Sreenath PLoS ONE 2014 May 13: 9(5): e97130 24824602 , Abstract: Progression of a cell through the division cycle is tightly controlled at different steps to ensure the integrity of genome replication and partitioning to daughter cells. From published experimental evidence, we propose a molecular mechanism for control of the cell division cycle in Caulobacter crescentus. The mechanism, which is based on the synthesis and degradation of three ‘‘master regulator’’ proteins (CtrA, GcrA, and DnaA), is converted into a quantitative model, in order to study the temporal dynamics of these and other cell cycle proteins. The model accounts for important details of the physiology, biochemistry, and genetics of cell cycle control in stalked C. crescentus cell. It reproduces protein time courses in wild-type cells, mimics correctly the phenotypes of many mutant strains, and predicts the phenotypes of currently uncharacterized mutants. Since many of the proteins involved in regulating the cell cycle of C. crescentus are conserved among many genera of a-proteobacteria, the proposed mechanism may be applicable to other species of importance in agriculture and medicine. In summary, you are entitled to use this encoded model in absolutely any manner you deem suitable, verbatim, or with modification, alone or embedded it in a larger context, redistribute it, commercially or not, in a restricted way or not.. To cite BioModels Database, please use: Li C, Donizelli M, Rodriguez N, Dharuri H, Endler L, Chelliah V, Li L, He E, Henry A, Stefan MI, Snoep JL, Hucka M, Le Novère N, Laibe C (2010) BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models. BMC Syst Biol., 4:92.

Dataset Information

A novel nucleoid-associated protein coordinates asymmetric chromosome replication and chromosome partitioning

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure