Dataset Information

Genome-wide tracking of Escherichia coli DNA polymerase V to the lagging strand during the SOS response

ABSTRACT: Ribonucleotides are frequently incorporated into DNA and can be used as a marker of DNA replication enzymology. To investigate on a genome-wide scale, how E. coli pol V accesses undamaged chromosomal DNA during the SOS response, we mapped the location of ribonucleotides incorporated by steric gate variants of pol V across the entire E. coli genome. To do so, we used strains that are deficient in ribonucleotide excision repair (DrnhB), constitutively express all SOS-regulated genes [lexA(Def)] and constitutively “activated” RecA* (recA730). The strains also harbor two steric gate variants of E. coli pol V (Y11A or F10L), or a homolog of pol V, (pol VR391-Y13A). Ribonucleotides are frequently incorporated by the pol V-Y11A and pol VR391-Y13A variants, with a preference to the lagging strand. In contrast, the pol V-F10L variant incorporates less ribonucleotides and no strand preference was observed. Sharp transitions in strand specificity are observed at replication origin (oriC), while a gradient is observed at the termination region. To activate RecA* in a recA+ strain, we treated the strains with ciprofloxacin and genome-wide mapped the location of the incorporated ribonucleotides. Again, the polV-Y11A steric gate variant, exhibited a lagging strand preference. Our data is consistent with a specific role for pol V in lagging strand DNA synthesis across the entire E. coli genome during the SOS response.

ORGANISM(S): Escherichia coli

PROVIDER: GSE158570 | GEO | 2021/03/22

REPOSITORIES: GEO

ACCESS DATA

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Project description:Faithful duplication of DNA is essential for the maintenance of genomic stability in all organisms. DNA synthesis proceeds bi-directionally with continuous synthesis of leading strand DNA and discontinuous synthesis of lagging strand DNA. Herein, we describe a method of enriching and Sequencing of Protein-Associated Nascent strand DNA (eSPAN) to detect whether a protein binds the leading- and lagging-strands of DNA replication forks. We show that Pol-epsilon, PCNA, Cdc45, Mcm6 and Mcm10 preferentially associate with leading strands, whereas Pol-alpha, Pol32, Pol-delta, Rfa1 and Rfc1 associate with lagging strands of hydroxyurea (HU)-stalled replication forks. In contrast, PCNA is enriched at lagging strands of normal replication forks in wild type cells and HU-stalled forks in cells lacking Elg1. These studies demonstrate a strategy to reveal proteins at leading and lagging strands of DNA replication forks, and suggest that the unloading of PCNA from lagging strands of HU-stalled replication forks helps maintain genome integrity. We synchronized yeast cells at G1 and released into early S phase in the presence of BrdU, a nucleotide analog that can be incorporated into newly synthesized DNA strand, and hydroxyurea (HU), a ribonucleotide reductase inhibitor. HU has no effect on initiation of DNA replication at early replication origins, but inhibit late replication firing. In addition, replication forks are stalled due to depletion of dNTPs. We then performed chromatin-immunoprecipitation of 12 proteins of interest following a standard procedure. Protein-bound DNAs were then reverse-crosslinked and double strand DNA was denatured. Nascent DNA was enriched by immunoprecipitation using anti-BrdU antibodies. The recovered ssDNA was first marked with ligation to one oligo at 3M-bM-^@M-^Y end before conversion to dsDNA for library preparation and sequencing. In this way, the directionality of ssDNA and therefore strand information of each sequenced DNA were known. The sequencing tag was mapped to both Watson (red) and Crick (blue) strands of the reference genome. In addition to ChIP-eSPAN, we also performed BrdU-IP and single strand DNA sequence (BrdU-ssSeq) and protein ChIP followed by single-strand DNA sequencing (ChIP-ssSeq) for each corresponding ChIP-eSPAN experiment. We also performed Mcm4 and Mcm6 ChIP-seq using cells synchronized at G1 phase of the cell cycle for identification of replication origins in comparison with published dataset. Some protein ChIP-ssSeq and ChIP-eSPAN experiments were repeated and the data fits well each other. Therefore, we did not repeat all protein ChIP-ssSeq and ChIP-eSPAN experiments.

Project description:The SOS response is a conserved pathway that is activated under certain stress conditions and is regulated by the repressor LexA and the activator RecA. The food-borne pathogen Listeria monocytogenes contains RecA and LexA homologs, but their roles in Listeria have not been established. In this study, we identified the SOS regulon in L. monocytogenes by comparing the transcription profiles of the wild-type strain and the ÎrecA mutant strain after exposure to the DNA damaging agent mitomycinC (MMC). The SOS response is an inducible pathway involved in DNA repair, restart of stalled replication forks, and in induction of genetic variation in stressed and stationary phase cells. It is regulated by LexA and RecA. LexA is an autoregulatory repressor which binds to a consensus sequence in the promoter region of the SOS response genes, thereby repressing transcription. A consensus LexA binding motif for L. monocytogenes has not been identified thus far. Generally, the SOS response is induced under circumstances in which single stranded DNA accumulates in the cell. This results in activation of RecA, which in turn stimulates cleavage of LexA, and ultimately in the induction of the SOS response. Keywords: stress response, loop design, SOS response, mitomycin c, listeria monocytogenes, RecA, LexA Triple loop design of 3 independent experiments (series A, B, and C) using Wt strain and recA mutant (activator of the SOS response). Sampling was done before (t=0) and 1 hour after (t=60) exposure to mitomycin C (MMC) for both the wild-type strain and the recA mutant strain. One series therefore contains 4 samples and the complete experiments consists of 12 samples. Each of the 3 series was designed in a loop (wt, t=0 =>wt, t=60 => recA, t=60 => recA, t=0 => wt, t=0). These 3 loops were connected using series B as the central loop. Series B was connected to series A as follows: wt, t=0 (B) => recA, t=0 (A) and wt, t=60 (B) => recA, t=60 (A). Series B was connected to series C as follows: recA, t=0 (B) => wt, t=0 (C) and recA, t=60 (B) => wt, t=60 (C).

Project description:Shimoni2009 - Escherichia Coli SOS Simple model, involving only the basic components of the circuit, sufficient to explain the peaks in the promoter activities of recA and lexA. This model is described in the article: Stochastic analysis of the SOS response in Escherichia coli. Shimoni Y, Altuvia S, Margalit H, Biham O PloS one. 2009; 4(5):e5363 Abstract: BACKGROUND: DNA damage in Escherichia coli evokes a response mechanism called the SOS response. The genetic circuit of this mechanism includes the genes recA and lexA, which regulate each other via a mixed feedback loop involving transcriptional regulation and protein-protein interaction. Under normal conditions, recA is transcriptionally repressed by LexA, which also functions as an auto-repressor. In presence of DNA damage, RecA proteins recognize stalled replication forks and participate in the DNA repair process. Under these conditions, RecA marks LexA for fast degradation. Generally, such mixed feedback loops are known to exhibit either bi-stability or a single steady state. However, when the dynamics of the SOS system following DNA damage was recently studied in single cells, ordered peaks were observed in the promoter activity of both genes (Friedman et al., 2005, PLoS Biol. 3(7):e238). This surprising phenomenon was masked in previous studies of cell populations. Previous attempts to explain these results harnessed additional genes to the system and deployed complex deterministic mathematical models that were only partially successful in explaining the results. PRINCIPAL FINDINGS: Here we apply stochastic methods, which are better suited for dynamic simulations of single cells. We show that a simple model, involving only the basic components of the circuit, is sufficient to explain the peaks in the promoter activities of recA and lexA. Notably, deterministic simulations of the same model do not produce peaks in the promoter activities. SIGNIFICANCE: We conclude that the double negative mixed feedback loop with auto-repression accounts for the experimentally observed peaks in the promoter activities. In addition to explaining the experimental results, this result shows that including additional regulations in a mixed feedback loop may dramatically change the dynamic functionality of this regulatory module. Furthermore, our results suggests that stochastic fluctuations strongly affect the qualitative behavior of important regulatory modules even under biologically relevant conditions, thus emphasizing the importance of stochastic analysis of regulatory circuits. This model is hosted on BioModels Database and identified by: MODEL2937159804. To cite BioModels Database, please use: BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models. To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information.

Dataset Information

Genome-wide tracking of Escherichia coli DNA polymerase V to the lagging strand during the SOS response

Dataset's files

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets