Biology subjects

Kinsella, A.

Publications and source records attributed to Kinsella, A..

4 recordsLinked to original sources

bioRxiv2026

Data mining reveals the diversity of prophage endolysins targeting pathogenic enterococci

Antimicrobial resistance (AMR) poses a critical global health threat, with enterococci among the leading contributors due to their intrinsic and acquired resistance to antibiotics. Clinically relevant species, including Enterococcus faecalis and Enterococcus faecium, as well as the emerging poultry pathogen Enterococcus cecorum, highlight the need for alternative therapeutics across human and agricultural settings. Bacteriophages and their derived enzymes, particularly endolysins, offer promising antibacterial strategies but challenges such as phage resistance and limited lysin diversity hinder their application. In this study, we performed a large-scale analysis of prophage-encoded endolysins across these three enterococcal opportunistic pathogens, characterizing over 48,000 sequences. We identified 33 distinct domain architectures combining diverse catalytic and cell wall-binding domains, including novel putative cell wall binding domains. These findings expand the known diversity of enterococcal lysins and provide a comprehensive resource for the rational design of stable, recombinant "enzybiotics" to combat multidrug-resistant enterococcal infections. Data summaryAll genomes analysed in this work are available through Genbank. The data mining strategy was carried out open-access software available through GitHub as described in the Methods section. The raw output of the search and sequences obtained after each filtering step are provided in Supplementary Files 1 and 2. Modelling data related to figure 6 is provided in supplementary File 3. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=137 SRC="FIGDIR/small/720912v1_fig6.gif" ALT="Figure 6"> View larger version (42K): org.highwire.dtl.DTLVardef@16ea8f5org.highwire.dtl.DTLVardef@16883aorg.highwire.dtl.DTLVardef@149d360org.highwire.dtl.DTLVardef@1d47ec1_HPS_FORMAT_FIGEXP M_FIG O_FLOATNOFigure 6.C_FLOATNO BSD is predicted to be a novel cell wall binding domain. A, Alignment of amino acid sequences encoding the BSD. B, Structural alignment of AlphaFold predictions. C, A box plot quantifying the ligand ipTM scores of 25 Efm and Efs muropeptide dockings for various domains / proteins, and the custom-calculated docking consistency scores for each of those 25 predictions. The results have been visually grouped into predicted binders and predicted non-binders by comparing ipTM and docking consistency scores to known binders (LysM, SH3) and random proteins (GFP, RNBR). D, Docking of Efs muropeptide (gold) into the binding pocket of BSD (blue), including any predicted hydrogen bonding. C_FIG Impact statementAntimicrobial resistant enterococci threaten therapeutic options in both medicine and agriculture. Yet, the therapeutic potential of bacteriophage-derived endolysins (enzybiotics) is limited by an incomplete understanding of their natural diversity. By analysing more than 48,000 prophage encoded lysins from E. faecalis, E. faecium, and E. cecorum, this study provides the most extensive characterization of enterococcal lysin architectures to date. The identification of 34 distinct domain organizations, including a previously unrecognized cell wall-binding domain, substantially broadens the known functional repertoire of these enzymes. This work fills a major knowledge gap and offers a foundational resource for engineering stable, targeted enzybiotics to combat multidrug resistant enterococcal infections.

microbiology↗

bioRxiv2026

How many phage species remain undiscovered? Species sampling approaches to inform phage discovery

The emergence of antimicrobial resistant bacteria has been identified as one of the most serious public health and development threats for the near future. The use of bacteriophages (phages) is a promising solution for the sustainable control of these pathogens. Phages are natural viral predators of bacterial pathogens. However, due to the variability and adaptability of bacteria, developing effective and sustainable phage treatments requires drawing from a wide variety of different phage species. This study applies specialised mathematical and computational estimation approaches to the problem of sampling and discovering species of phages in microbiological communities. Our goal is to predict how many new phage species will be discovered in future samples based on species recorded in a phage sequence database for eight common bacterial hosts. While internal validation shows that current estimators yield low prediction errors for how many new species can be found when sampling more phages, these critically assume that the underlying mechanisms of phage sampling and database inclusion remain similar across time - an assumption put into question by our analysis for all but the host genus Mycobacterium. From this, we discuss how our results can still inform future sampling strategies - both through directly predicting the number of additional species, or by detecting changes in sampling and database inclusion. Our results have the potential to inform and optimise the hunt for and isolation of novel of phages from the the natural environment. HighlightsO_LISpecies abundance distribution of phages infecting seven of eight analysed host bacterial genera collected in phage databases changed significantly over time. C_LIO_LIMaintaining current sampling strategies for phages of host Mycobacteriut may lead to diminishing returns in the number of new phages found in additional samples. C_LIO_LIBoth non-parametric and parametric estimators of the numbers of unseen species show comparable, moderate errors when predicting a random subset from the remainder of hostspecific phage sets from the INPHARED database C_LI

genomics↗

bioRxiv2025

Characterisation of novel bacteriophages against the cattle pathogen Moraxella bovis

BackgroundInfectious bovine keratoconjunctivitis is the most important cattle ocular disease worldwide. The infection is primarily caused by Moraxella bovis and is a highly contagious disease that significantly affects cattle welfare. Currently, antibiotic medication is the primary treatment for infectious bovine keratoconjunctivitis. However, with rising concerns over antibiotic resistance, we propose developing a more targeted therapeutic strategy using bacteriophages (phages). Materials and MethodsWe have isolated the first known Moraxella bovis phages, characterised them according to their genome sequence, local virulence index and with transmission electron microscopy. The host ranges were assessed using 41 clinical M. bovis strains isolated from infected cows. ResultsFour phages were isolated and characterised. Comparative analysis identified a high degree of genomic similarity between the phages MB15, MB16, MB26 and MB43. MB43 was the most distinct, with the smallest host range phenotype. ConclusionsThe isolated phages show therapeutic potential for further development against Moraxella infections.

microbiology↗

bioRxiv2025

Rolling out plaque-2-sequence: a single plaque sequencing approach enabling rapid, low-cost sequencing of phages directly from plaques

Rapid, accurate, and scalable sequencing of bacteriophage genomes is critical to advance phage therapy, build phage biobanks and understand phage genomic diversity. Current methods are based on sequencing and assembling complete bacteriophage genomes using short- or long-read technologies. However, current protocols require large DNA input and are cost prohibitive which limits their application to phage collections that typically are large and have low-biomass. In order to address this we have developed plaque-2-sequence, a robust and cost-effective workflow for high-throughput phage genome sequencing that will transform the speed and cost of attaining phage genomes. Plaque-2-sequence combines low-input transposase-based library preparation, amplification, nanopore sequencing and optimised assembly steps tailored to phage genomes. We applied the method to phages isolated on seven genetically diverse bacterial hosts; Escherichia, Pseudomonas, Synechococcus, Enterococcus, Klebsiella , Serratia and Enterobacter. High quality genome assemblies were validated using CheckV and benchmarking against previously sequenced phage isolates. Compared to standard Illumina sequencing, plaque-2-sequence offers [~]10-fold savings in sequencing price for individual labs. Furthermore, it substantially decreases the time required to produce a phage genome, once a plaque is obtained. Offering the ability to routinely obtain hundreds of phage genome sequences a week, with minimal hands-on time. Plaque-2-sequence enables systematic genomic characterisation of phage isolates, facilitating taxonomic classification, for the development of large scale phage biobanks. Impact StatementHere we have optimised a method for high-throughput sequencing of bacteriophage genomes from single plaques (plaque-2-sequence). We present a robust, high-throughput and cost-effective workflow. Plaque-2-sequence combines low-input transposase-based library preparation, amplification, nanopore sequencing and optimised assembly steps tailored to phage genomes. We demonstrate the scalability of this approach by sequencing over 100 phages from multiple bacterial hosts. This marks a step-change for the field, allowing phage genome sequencing to keep pace with phage isolation rates, and transforming how rapidly we can explore and understand phage genomic diversity.

microbiology↗