Diversity in host resistance often associates with reduced pathogen spread. This may result from ecological and evolutionary processes, likely with feedback between them. Theory and experiments on bacteria-phage interactions have shown that genetic diversity of the bacterial adaptive immune system can limit phage evolution to overcome resistance. Using the CRISPR-Cas bacterial immune system and lytic phage, we engineered a host-pathogen system where each bacterial host genotype could be infected by only one phage genotype. With this model system, we explored how CRISPR diversity impacts the spread of phage when they can overcome a resistance allele, how immune diversity affects the evolution of the phage to increase its host range and if there was feedback between these processes. We show that increasing CRISPR diversity benefits susceptible bacteria via a dilution effect, which limits the spread of the phage. We suggest that this ecological effect impacts the evolution of novel phage genotypes, which then feeds back into phage population dynamics.

Download full-text PDF

Source
http://dx.doi.org/10.1111/jeb.13638DOI Listing

Publication Analysis

Top Keywords

phage
9
immune system
8
overcome resistance
8
crispr diversity
8
spread phage
8
diversity
6
diversity crispr-based
4
crispr-based immunity
4
immunity protects
4
protects susceptible
4

Similar Publications

Caspase recruitment domains (CARDs) and pyrin domains are important facilitators of inflammasome activity and pyroptosis. Following pathogen recognition by nucleotide binding-domain, leucine-rich, repeat-containing (NLR) proteins, CARDs recruit and activate caspases, which, in turn, activate gasdermin pore-forming proteins to induce pyroptotic cell death. Here we show that CARD domains are present in defence systems that protect bacteria against phage.

View Article and Find Full Text PDF

Bridging the Gap: Phage Manufacturing Processes from Laboratory to Agri-Food Industry.

Virus Res

January 2025

Department of Genomics, Branch for Northwest & West Region, Agricultural Biotechnology Research Institute of Iran (ABRII), Agricultural Research, Education and Extension Organization (AREEO), Tabriz, Iran. Electronic address:

Interest in bacteriophages (phages) as sustainable biocontrol agents in the agri-food industry has increased because of growing worries about food safety and antimicrobial resistance (AMR). The phage manufacturing process is examined in this review, with particular attention paid to the crucial upstream and downstream processes needed for large-scale production. Achieving large phage yields requires upstream procedures, including fermentation and phage amplification.

View Article and Find Full Text PDF

The gastrointestinal microbiome influences physiological functions and is altered in a variety of diseases. The causality of "dysbiosis" in the pathogenesis is not always proven; association studies are often involved. Patients with IBD, bacteria, fungi, bacteriophages, and archaea show disease-typical patterns associated with metabolome disturbances.

View Article and Find Full Text PDF

Characterization of the host specificity of the SH3 cell wall binding domain of the staphylococcal phage 88 endolysin.

Arch Microbiol

January 2025

Department of Microbiology, Faculty of Biotechnology and Biomolecular Sciences, Universiti Putra Malaysia, Serdang, Selangor, 43400, Malaysia.

Bacteriophages produce endolysins at the end of the lytic cycle, which are crucial for lysing the host cells and releasing virion progeny. This lytic feature allows endolysins to act as effective antimicrobial alternatives when applied exogenously. Staphylococcal endolysins typically possess a modular structure with one or two enzymatically active N-terminal domains (EADs) and a C-terminal cell wall binding domain (CBD).

View Article and Find Full Text PDF

Average nucleotide identity (ANI) is a widely used metric to estimate genetic relatedness, especially in microbial species delineation. While ANI calculation has been well optimized for bacteria and closely related viral genomes, accurate estimation of ANI below 80%, particularly in large reference data sets, has been challenging due to a lack of accurate and scalable methods. To bridge this gap, we introduce MANIAC, an efficient computational pipeline optimized for estimating ANI and alignment fraction (AF) in viral genomes with divergence around ANI of 70%.

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!