Surface exclusion is the mechanism by which F plasmids prevent the redundant entry of additional F plasmids into the host cell during exponential growth. This mechanism is relaxed in cells that are in stationary phase. Using genetically marked F' plasmids and host strains, we extend this finding to Escherichia coli populations during extended nonlethal selection in bacterial lawns. We show that a high level of redundant transfer occurs between these nongrowing cells during the selection. This result has implications for the mechanism of adaptive mutagenesis.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC176670 | PMC |
| http://dx.doi.org/10.1128/jb.177.3.847-850.1995 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Structure and metabolic function of spatiotemporal pit mud microbiome.
Environ Microbiome
January 2025
Luzhou Laojiao Co., Ltd., Luzhou, 646000, China.
Background: Pit mud (PM) hosts diverse microbial communities, which serve as a medium to impart flavor and quality to Baijiu and exhibit long-term tolerance to ethanol and acids, resulting in a unique ecosystem. However, the ecology and metabolic functions of PM remain poorly understood, as many taxa in PM represent largely novel lineages. In this study, we used a combination of metagenomic analysis and chemical derivatization LC-MS analysis to provide a comprehensive overview of microbial community structure, metabolic function, phylogeny, horizontal gene transfer, and the relationship with carboxyl compounds in spatiotemporal PM samples.
View Article and Find Full Text PDFInvestigating the Antibiotic Resistance Genes and Mobile Genetic Elements in Water Systems impacted with Anthropogenic Pollutants.
Environ Res
January 2025
ICMR- National Institute for Research in Environmental Health, Bhopal Bypass Road, Bhauri, Bhopal - 462030, Madhya Pradesh, India. Electronic address:
A wide range of pollutants, including heavy metals, endocrine-disrupting chemicals (EDCs), residual pesticides, and pharmaceuticals, are present in various water systems, many of which strongly drive the proliferation and dissemination of antimicrobial resistance genes (ARGs), heightening the antimicrobial resistance (AMR) crisis and creating a critical challenge for environmental and health management worldwide. This study addresses the impact of anthropogenic pollutants on AMR through an extensive analysis of ARGs and mobile genetic elements (MGEs) in urban wastewater, source water, and drinking water supplies in India. Results indicated that bla and bla were the dominant ARGs across all water systems, underscoring the prevalence and dominance of resistance against β-lactam antibiotics.
View Article and Find Full Text PDFUnlabelled: SHP1 (PTPN6) and SHP2 (PTPN11) are closely related protein-tyrosine phosphatases (PTPs), which are autoinhibited until their SH2 domains bind paired tyrosine-phosphorylated immunoreceptor tyrosine-based inhibitory/switch motifs (ITIMs/ITSMs). These PTPs bind overlapping sets of ITIM/ITSM-bearing proteins, suggesting that they might have some redundant functions. By studying T cell-specific single and double knockout mice, we found that SHP1 and SHP2 redundantly restrain naïve T cell differentiation to effector and central memory phenotypes, with SHP1 playing the dominant role.
View Article and Find Full Text PDFHigh Concentrations of Tilmicosin Promote the Spread of Multidrug Resistance Gene C in the Pig Gut Microbiome Through Mobile Genetic Elements.
Animals (Basel)
December 2024
College of Animal Science, South China Agricultural University, Guangzhou 510642, China.
The impact of antibiotic therapy on the spread of antibiotic resistance genes (ARGs) and its relationship to gut microbiota remains unclear. This study investigated changes in ARGs, mobile genetic elements (MGEs), and gut microbial composition following tilmicosin administration in pigs. Thirty pigs were randomly divided into control (CK), low-concentration (0.
View Article and Find Full Text PDFEnhancing Deep-Learning Classification for Remote Motor Imagery Rehabilitation Using Multi-Subject Transfer Learning in IoT Environment.
Sensors (Basel)
December 2024
College of Computer and Information Sciences (CCIS), King Saud University, Riyadh 11543, Saudi Arabia.
One of the most promising applications for electroencephalogram (EEG)-based brain-computer interfaces (BCIs) is motor rehabilitation through motor imagery (MI) tasks. However, current MI training requires physical attendance, while remote MI training can be applied anywhere, facilitating flexible rehabilitation. Providing remote MI training raises challenges to ensuring an accurate recognition of MI tasks by healthcare providers, in addition to managing computation and communication costs.
View Article and Find Full Text PDFWant 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!