AI Article Synopsis

  • Bacterial DNA replication begins at the origin of replication, where DnaA boxes allow the master initiator protein DnaA to bind and control the process.
  • The study used CRISPR interference to halt replication by targeting specific DnaA boxes, leading to continued cell growth and translation without triggering stress responses.
  • Understanding non-replicating states in bacteria can help uncover mechanisms of antibiotic tolerance, dormancy, and adaptability to harsh environments.

Article Abstract

Initiation of bacterial DNA replication takes place at the origin of replication (), a region characterized by the presence of multiple DnaA boxes that serve as the binding sites for the master initiator protein DnaA. This process is tightly controlled by modulation of the availability or activity of DnaA and during development or stress conditions. Here, we aimed to uncover the physiological and molecular consequences of stopping replication in the model bacterium . We successfully arrested replication in by employing a clustered regularly interspaced short palindromic repeats interference (CRISPRi) approach to specifically target the key DnaA boxes 6 and 7, preventing DnaA binding to . In this way, other functions of DnaA, such as a transcriptional regulator, were not significantly affected. When replication initiation was halted by this specific artificial and early blockage, we observed that non-replicating cells continued translation and cell growth, and the initial replication arrest did not induce global stress conditions such as the SOS response.IMPORTANCEAlthough bacteria constantly replicate under laboratory conditions, natural environments expose them to various stresses such as lack of nutrients, high salinity, and pH changes, which can trigger non-replicating states. These states can enable bacteria to (i) become tolerant to antibiotics (persisters), (ii) remain inactive in specific niches for an extended period (dormancy), and (iii) adjust to hostile environments. Non-replicating states have also been studied because of the possibility of repurposing energy for the production of additional metabolites or proteins. Using clustered regularly interspaced short palindromic repeats interference (CRISPRi) targeting bacterial replication initiation sequences, we were able to successfully control replication initiation in . This precise approach makes it possible to study non-replicating phenotypes, contributing to a better understanding of bacterial adaptive strategies.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11019786PMC
http://dx.doi.org/10.1128/msystems.00221-24DOI Listing

Publication Analysis

Top Keywords

replication initiation
16
replication
9
dnaa boxes
8
stress conditions
8
clustered regularly
8
regularly interspaced
8
interspaced short
8
short palindromic
8
palindromic repeats
8
repeats interference
8

Similar Publications

Epstein-Barr nuclear antigen 1 (EBNA1), a sequence-specific DNA binding protein of Epstein-Barr virus (EBV), is essential for viral genome replication and maintenance and is therefore an attractive target for the therapeutic intervention of EBV-associated cancers. Several EBNA1-specific inhibitors have demonstrated the ability to block EBNA1 function in vitro, but practical delivery strategies for these inhibitors in vivo are still lacking. Here, we report an intelligent hierarchical targeting theranostic nanosystem (denoted as mZGOCS@MnO-P5) that integrates an azide (N3) terminal dual-targeting peptide (N3-P5), a tumor microenvironment-responsive degradable MnO nanosheet, and a mesoporous ZnGaO:Cr, Sn near-infrared persistent luminescence (NIR-PL) nanosphere (mZGOCS).

View Article and Find Full Text PDF

D3-ImgNet: A Framework for Molecular Properties Prediction Based on Data-Driven Electron Density Images.

J Phys Chem A

January 2025

Liaoning Key Laboratory of Manufacturing System and Logistics Optimization, Shenyang 110819, China.

Artificial intelligence technology has introduced a new research paradigm into the fields of quantum chemistry and materials science, leading to numerous studies that utilize machine learning methods to predict molecular properties. We contend that an exemplary deep learning model should not only achieve high-precision predictions of molecular properties but also incorporate guidance from physical mechanisms. Here, we propose a framework for predicting molecular properties based on data-driven electron density images, referred to as D3-ImgNet.

View Article and Find Full Text PDF

Objectives: To explore the reproducibility of the 1.5-T MR imaging (MRI)-based R2* method in measuring the liver iron concentration (LIC) across different MRI scanners, scan parameters, and postprocessing techniques.

Materials And Methods: We performed a systematic search of the PubMed, Embase, Medline, Cochrane Library, and Web of Science databases and identified studies that used the 1.

View Article and Find Full Text PDF

Background: Psychosis (broadly delusions and hallucinations) has a cumulative disease prevalence of around 40% in Alzheimer's disease (AD). The epigenomic, genomic, and neuropathological data provide powerful evidence that AD+P has a distinct neurobiological profile. Here, we used the weighted gene co-expression network analysis (WGCNA) method to investigate DNA methylation associated with AD+P in the dorsolateral prefrontal cortex of 153 post-mortem brain samples.

View Article and Find Full Text PDF

Background: Alzheimer's disease (AD) is diagnosed via postmortem detection of extracellular amyloid beta (Aβ) plaques or oligomers and intracellular hyperphosphorylated tau. These canonical pathologies are key players in AD etiology. A complementary line of research suggests that common human pathogens serve as the initial seeding agents which facilitate the pathologies of AD.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!