The mechanisms and cell signaling pathways of programmed cell death in the bacterial world

A mechanistic simulation of induced DNA damage in a bacterial cell by X- and gamma rays: a parameter study

Mechanistic Monte Carlo simulations calculating DNA damage caused by ionizing radiation are highly dependent on the simulation parameters. In the present study, using the Geant4-DNA toolkit, the impact of different parameters on DNA damage induced in a bacterial cell by X- and gamma-ray irradiation was investigated. Three geometry configurations, including the simple (without DNA details), the random (a random multiplication of identical DNA segments), and the fractal (a regular replication of DNA segments using fractal Hilbert curves), were simulated. Also, three physics constructors implemented in Geant4-DNA, i.e., G4EmDNAPhysics_option2, G4EmDNAPhysics_option4, and G4EmDNAPhysics_option6, with two energy thresholds of 17.5 eV and 5-37.5 eV were compared for direct DNA damage calculations. Finally, a previously developed mathematical model of cell repair called MEDRAS (Mechanistic DNA Repair and Survival) was employed to compare the impact of physics constructors on the cell survival curve. The simple geometry leads to undesirable results compared to the random and fractal ones, highlighting the importance of simulating complex DNA structures in mechanistic simulation studies. Under the same conditions, the DNA damage calculated in the fractal geometry was more consistent with the experimental data. All physics constructors can be used alternatively with the fractal geometry, provided that an energy threshold of 17.5 eV is considered for recording direct DNA damage. All physics constructors represent a similar behavior in generating cell survival curves, although the slopes of the curves are different. Since the inverse of the slope of a bacterial cell survival curve (i.e., the D10-value) is highly sensitive to the simulation parameters, it is not logical to determine an optimal set of parameters for calculating the D10-value by Monte Carlo simulation.

Prediction of key amino acids of Salmonella phage endolysin LysST-3 and detection of its mutants' activity

Salmonella Typhimurium, a zoonotic pathogen, causes systemic and localized infection. The emergence of drug-resistant S. Typhimurium has increased; treating bacterial infections remains challenging. Phage endolysins derived from phages have a broader spectrum of bacteriolysis and better bacteriolytic activity than phages, and are less likely to induce drug resistance than antibiotics. LysST-3, the endolysin of Salmonella phage ST-3, was chosen in our study for its high lytic activity, broad cleavage spectrum, excellent bioactivity, and moderate safety profile. LysST-3 is a promising antimicrobial agent for inhibiting the development of drug resistance in Salmonella. The aim of this study is to investigate the molecular characteristics of LysST-3 through the prediction of key amino acid sites of LysST-3 and detection of its mutants' activity. We investigated its lytic effect on Salmonella and identified its key amino acid sites of interaction with substrate. LysST-3 may be a Ca2+, Mg2+ - dependent metalloenzyme. Its concave structure of the bottom "gripper" was found to be an important part of its amino acid active site. We identified its key sites (29P, 30T, 86D, 88 L, and 89 V) for substrate binding and activity using amino acid-targeted mutagenesis. Alterations in these sites did not affect protein secondary structure, but led to a significant reduction in the cleavage activity of the mutant proteins. Our study provides a basis for phage endolysin modification to target drug-resistant bacteria. Identifying the key amino acid site of the endolysin LysST-3 provides theoretical support for the functional modification of the endolysin and the development of subsequent effective therapeutic solutions.

Emerging Applications of Nanobiosensors in Pathogen Detection in Water and Food

Food and waterborne illnesses are still a major concern in health and food safety areas. Every year, almost 0.42 million and 2.2 million deaths related to food and waterborne illness are reported worldwide, respectively. In foodborne pathogens, bacteria such as Salmonella, Shiga-toxin producer Escherichia coli, Campylobacter, and Listeria monocytogenes are considered to be high-concern pathogens. High-concern waterborne pathogens are Vibrio cholerae, leptospirosis, Schistosoma mansoni, and Schistosima japonicum, among others. Despite the major efforts of food and water quality control to monitor the presence of these pathogens of concern in these kinds of sources, foodborne and waterborne illness occurrence is still high globally. For these reasons, the development of novel and faster pathogen-detection methods applicable to real-time surveillance strategies are required. Methods based on biosensor devices have emerged as novel tools for faster detection of food and water pathogens, in contrast to traditional methods that are usually time-consuming and are unsuitable for large-scale monitoring. Biosensor devices can be summarized as devices that use biochemical reactions with a biorecognition section (isolated enzymes, antibodies, tissues, genetic materials, or aptamers) to detect pathogens. In most cases, biosensors are based on the correlation of electrical, thermal, or optical signals in the presence of pathogen biomarkers. The application of nano and molecular technologies allows the identification of pathogens in a faster and high-sensibility manner, at extremely low-pathogen concentrations. In fact, the integration of gold, silver, iron, and magnetic nanoparticles (NP) in biosensors has demonstrated an improvement in their detection functionality. The present review summarizes the principal application of nanomaterials and biosensor-based devices for the detection of pathogens in food and water samples. Additionally, it highlights the improvement of biosensor devices through nanomaterials. Nanomaterials offer unique advantages for pathogen detection. The nanoscale and high specific surface area allows for more effective interaction with pathogenic agents, enhancing the sensitivity and selectivity of the biosensors. Finally, biosensors' capability to functionalize with specific molecules such as antibodies or nucleic acids facilitates the specific detection of the target pathogens.

Role of Dead Cells in Collective Stress Tolerance in Microbial Communities: Evidence from Yeast

A substantial part of yeast life cycle takes place in the communities where the cells are surrounded by their own clones. Meanwhile, yeast cell fitness depends not only on its own adaptations but also on the processes in the neighboring cells. Moreover, even if a cell loses its clonogenic ability, it is still capable of protecting surrounding cells that are still alive. Dead cells can absorb lipophilic antibiotics and provide nutrients to their kin neighbors. Some enzymes can be released into the environment and detoxify exogenous toxins. For example, cytosolic catalase, which degrades hydrogen peroxide, can stay active outside of the cell. Inviable cells of pathogenic yeast species can suppress host immune responses and, in this way, boost spread of the pathogen. In this review, we speculate that biochemical processes in dying cells can facilitate increase of stress resistance in the alive kin cells and therefore be a subject of natural selection. We considered possible scenarios of how dead microbial cells can increase survival of their kin using unicellular fungi - baker's yeast Saccharomyces cerevisiae - as an example. We conclude that the evolutionary conserved mechanisms of programmed cell death in yeast are likely to include a module of early permeabilization of the cell plasma membrane rather than preserve its integrity.

Adaptive Role of Cell Death in Yeast Communities Stressed with Macrolide Antifungals

Microorganisms cooperate with each other to protect themselves from environmental stressors. An extreme case of such cooperation is regulated cell death for the benefit of other cells. Dying cells can provide surviving cells with nutrients or induce their stress response by transmitting an alarm signal; however, the role of dead cells in microbial communities is unclear. Here, we searched for types of stressors the protection from which can be achieved by death of a subpopulation of cells. Thus, we compared the survival of Saccharomyces cerevisiae cells upon exposure to various stressors in the presence of additionally supplemented living versus dead cells. We found that dead cells contribute to yeast community resistance against macrolide antifungals (e.g., amphotericin B [AmB] and filipin) to a greater extent than living cells. Dead yeast cells absorbed more macrolide filipin than control cells because they exposed intracellular sterol-rich membranes. We also showed that, upon the addition of lethal concentrations of AmB, supplementation with AmB-sensitive cells but not with AmB-resistant cells enabled the survival of wild-type cells. Together, our data suggest that cell-to-cell heterogeneity in sensitivity to AmB can be an adaptive mechanism helping yeast communities to resist macrolides, which are naturally occurring antifungal agents.

IMPORTANCE Eukaryotic microorganisms harbor elements of programmed cell death (PCD) mechanisms that are homologous to the PCD of multicellular metazoa. However, it is still debated whether microbial PCD has an adaptive role or whether the processes of cell death are an aimless operation in self-regulating molecular mechanisms. Here, we demonstrated that dying yeast cells provide an instant benefit for their community by absorbing macrolides, which are bacterium-derived antifungals. Our results illustrate the principle that the death of a microorganism can contribute to the survival of its kin and suggest that early plasma membrane permeabilization improves community-level protection. The latter makes a striking contrast to the manifestations of apoptosis in higher eukaryotes, the process by which plasma membranes maintain integrity.

Control of host mitochondria by bacterial pathogens

Mitochondria control various processes that are integral to cellular and organismal homeostasis, including Ca²⁺ fluxes, bioenergetic metabolism, and cell death. Perhaps not surprisingly, multiple pathogenic bacteria have evolved strategies to subvert mitochondrial functions in support of their survival and dissemination. Here, we discuss nonimmunological pathogenic mechanisms that converge on the ability of bacteria to control the mitochondrial compartment of host cells.