Search bioRxiv⌕ Search

Biology subjects

Millard, A. D.

Publications and source records attributed to Millard, A. D..

At least 19 recordsLinked to original sources

Isolation and characterisation of Lytic Jumbo Klebsiella phage BMPCR_005026

Background: Klebsiella pneumoniae is a key causative agent of multidrug resistant nosocomial infections. Bacteriophages offer a promising alternative treatment, but the diversity of Klebsiella species requires the characterisation of a broad range of phages, particularly the poorly characterised jumbo phages. Materials and Methods: Phage BMCPR_005026 was isolated from sewage against Klebsiella pneumoniae. Whole genome sequencing, transmission electron microscopy and host range analysis against a diverse set of 40 clinically relevant Klebsiella strains were used to characterise the phage. Results: The virion had a myovirus morphology and genomic analysis placed it within an undefined family in Caudoviricetes where it forms a new species within the genus Alcyoneusvirus. BMCPR_005026 could form plaques on 3 of the 40 Klebsiella strains tested (7.5%) and formed halos. Conclusion: BMCPR_005026 represents a new species of phage within the genus Alcyoneusvirus with activity against 3 Klebsiella KL-types.

microbiology↗

Bacteriophage genomics: What has five years of INPHARED taught us?

Bacteriophages are key drivers of microbial ecology and evolution, and the rapid expansion of phage sequencing has created sustained demand for curated reference genome databases. We released the INfrastructure for a PHAge REference Database (INPHARED) in January 2021 to provide quality-controlled metadata for complete phage genomes from cultured isolates. Here, we compare the 2021 and 2026 snapshots, spanning a five-year period that included a substantial overhaul of bacterial virus taxonomy by the ICTV. The database has approximately doubled, from 14,244 to 28,777 genomes, yet the proportion representing novel species-level diversity has declined, indicating that redundant sequencing is outpacing new discovery. Host bias persists despite the addition of 97 new host genera. We have incorporated genome quality assessments, lifestyle predictions, and defence and anti-defence system annotations, providing an updated resource and a snapshot of the current state of phage genomics.

microbiology↗

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↗

Who Infects Whom? Exploiting Bacterial Minicells for Targeted Virome Enrichment and Phage-Host Interaction Analysis through an Integrated Metagenomic Approach

Linking bacteriophages (phages) to their hosts remains a fundamental challenge to understanding microbial ecology, viral evolution, and horizontal gene transfer. Although phages are the most abundant biological entities on Earth, the majority of them remain uncharacterized due to the lack of efficient host-linking approaches. Traditional methods, such as plaque assays, have significant limitations as they depend on visible lysis and therefore fail to detect phages that do not form plaques. Conversely, shotgun metagenomics can recover viral genomes directly from environmental samples; however, it cannot directly link phages to their bacterial hosts. In this study, we addressed this limitation by tackling the critical question of "who infects whom?" through the development of a novel, culture-independent approach that utilises an anucleate bacterial minicells-based platform to enrich for phages capable of infecting a target bacterial host. To validate our approach, purified Escherichia coli minicells were exposed to a concentrated viral fraction derived from sewage samples. Genomic DNA from phages that successfully infected and interacted with the E. coli minicells was isolated, amplified, and sequenced. Metagenomic analysis revealed a distinct E. coli-specific virome, including several putatively novel phage species and genera. This platform effectively bridges the gap between culture-dependent and metagenomic methods, providing a scalable, host-targeted tool for identifying phage-host pairs. Our approach also opens new opportunities for studying phage-host interaction networks in complex microbial ecosystems and enhances our ability to investigate viral diversity, host specificity, and the ecological roles of phages in natural environments.

microbiology↗

Large scale antibiotic-phage synergy studies reveal key combinations for urinary tract infection and urosepsis treatments

The growing problem of AMR infections in healthcare has prompted the search for alternative treatments, with increasing interest in bacteriophages. However, most bacteriophage-antibiotic interactions are incompletely understood, and the benefits of combining them remains context dependent. In this study, we screened thousands of phage-antibiotic combinations to assess interaction outcomes in clinical E. coli and K. pneumoniae isolates. By integrating bacteriophages into an existing, scalable clinical MIC determination platform, we identified shifts in antibiotic MIC and susceptibility, revealing patterns of additivity and antagonism. Overall, interactions showed a species-specific profile; additive interactions predominated, particularly for E. coli. Hierarchical clustering highlighted frequent positive interactions between {beta}-lactams and Tequatroviruses. Notably, closely related phages sometimes displayed divergent phenotypes, indicating that interaction outcomes cannot be inferred solely from taxonomic relatedness or genomic similarity. Taken together, these results establish a foundation for rational, evidence-based development of phage-antibiotic therapies to restore and broaden treatment options against multidrug-resistant infections.

microbiology↗

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↗

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↗

Effect of human urinary microenvironment and fluid flow on antibiotic and phage therapy efficacy against uropathogenic Escherichia coli

Urinary tract infections (UTI) remain a major global health burden, with high recurrence despite antibiotic treatment. The escalating prevalence of antimicrobial resistance further compromises therapeutic efficacy, contributing to an estimated 260,000 deaths annually. Conventional in vitro susceptibility assays often fail to predict clinical outcomes, underscoring the urgent need for physiologically relevant infection models. Here, we examined how microenvironmental complexity shapes uropathogenic Escherichia coli (UPEC) responses to antibiotics and bacteriophages using: human urine, a three-dimensional urothelial microtissue model (3D-UHU), and a novel mesofluidic system (P-FLO) that introduces physiologically relevant flow dynamics to the 3D-UHU. P-FLO was engineered from cost-effective 3D-printed components compatible with standard Transwell systems. Among the antibiotics tested, nitrofurantoin exhibited the greatest potency in minimum inhibitory concentration assays, but it failed to fully eradicate infection within the more physiological 3D-UHU model. A bacteriophage cocktail (LCPR1) showed markedly reduced activity in urine compared with nutrient-rich media, highlighting the influence of infection-site conditions. In contrast, in 3D-UHU, LCRP1 modulated host responses without reducing bacterial burden. Combination therapy (nitrofurantoin + LCPR1) eliminated planktonic bacteria under static conditions but offered no added benefit against adherent or intracellular populations relative to antibiotic monotherapy. Incorporating flow revealed additional layers of complexity, where shear stress induced bacterial elongation and attachment and altered drug performance, diminishing the efficacy of nitrofurantoin and combination therapy against planktonic populations despite increased drug exposure. Together, these findings demonstrate that the bladder microenvironment and its mechanical forces modulate host-pathogen interactions and profoundly influence UPEC infection dynamics and therapeutic outcomes, emphasizing the need for advanced, physiologically informed models to guide treatment strategies in the post-antibiotic era.

microbiology↗

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↗

Bacteriophage diversity declines with COPD severity in the respiratory microbiome

Chronic obstructive pulmonary disease (COPD) severity correlates with airway microbial dysbiosis, yet bacteriophage roles remain unexplored. We characterised the lung virome by re-analysing 135 sputum metagenomes from 99 COPD patients and 36 healthy controls. We identified 1,308 viral operational taxonomic units, revealing progressively lower viral diversity correlating with disease severity. Whilst viral and bacterial diversity typically showed strong positive correlations, patients with frequent exacerbations uniquely exhibited decoupled viral-bacterial relationships, indicating disrupted ecological dynamics. Phages infecting anaerobic oral bacteria showed disproportionately lower abundance--Porphyromonas phages were 40-fold less abundant despite only 4-fold lower bacterial abundance--whilst pathogen-associated phages showed no significant differences. We detected virulence factor-encoding phages, including two neuA-carrying Haemophilus phages in 7.4% of Haemophilus-colonised patients, associated with 82-fold higher bacterial abundance. These findings establish altered bacteriophage ecology as an unrecognised feature of COPD pathobiology, with differential phage-bacteria relationships that reshape lung microbial ecosystems, offering new perspectives for microbiome-targeted interventions.

microbiology↗

Life-Stage Transitions Drive Distinct Gut Viral Communities in Dairy Cattle

Ruminant gut microbial communities profoundly influence host health and environmental impacts, yet their viral components remain poorly characterised across developmental transitions. Here, we analysed the dairy cow gut virome across four life stages--calf, heifer, dry adult, and lactating adult. Using hybrid sequencing, we assembled 30,321 viral operational taxonomic units, including 1,338 complete genomes representing mostly novel lineages. Virome composition shifted dramatically with life stage, transitioning from low-diversity, temperate-dominated communities in calves to high-diversity, lytic-dominated communities in adults. Virome transitions paralleled but showed distinct dynamics from bacterial community development, with viral and bacterial diversity negatively correlated during drying-off. Dry cows exhibited elevated viral loads relative to their bacterial hosts. We identified 26 viral sequences targeting the methanogen Methanobrevibacter, absent in calves but present in adults. These findings reveal the dynamic nature of ruminant gut viral communities and highlight phages potential regulatory role during critical life transitions.

microbiology↗

Hidden in plain sight: Bacterial genomes reveal thousands of lytic phages with therapeutic potential

Phages are typically classified as temperate, integrating into host genomes, or lytic, replicating and killing bacteria. Lytic phages are not expected in bacterial genome sequences, yet our analysis of 3.6 million bacterial assemblies from 1,226 species revealed >100,000 complete lytic phage genomes, which we term Bacterial Assembly-associated Phage Sequences (BAPS). This represents a [~]five-fold increase in the number of phages with known hosts and fundamentally reshapes our understanding of phage biology. Identifying BAPS has enabled the discovery of entirely novel phage clusters, including clusters distantly related to Salmonella Goslarviruses in E. coli, and Shigella, while significantly expanding known genera such as Seoulvirus (from 16 to >300 members). Notably, close relatives of therapeutic lytic phages were also detected, suggesting clinical isolate sequencing unknowingly archives viable phage candidates. The discovery of complete, lytic phage genomes within bacterial assemblies challenges long-standing assumptions and reveals a vast, untapped reservoir of phages.

microbiology↗

In-vivo Efficacy of a Phage Cocktail Therapy that Targets ESBL-producing Klebsiella Urinary Tract Infections Clinical Isolates

Uropathogenic Klebsiella pneumoniae strains, are of major concern of with respect to antimicrobial resistance, which has sparked interest in phage therapy as an alternative, or compliment to antibiotics. However, very limited in vivo data on phage therapy safety and efficacy for treating UTIs is available. To address this, we developed a model to test these parameters for a phage cocktail optimised for Extended Spectrum Beta-Lactamases (ESBL)-producing Klebsiella UTI strains. Female C57BL/6J mice were infected with K. pneumoniae Top52 then received a single dose of the purified therapeutic phages, with observations over seven days. Results showed a significant reduction of bacterial burden in urine, bladder, and kidney samples starting from 4 h post-treatment until Day 7. Phage treatment also reduced local inflammation within the bladder. Additionally, cytokine profile demonstrated an increase in anti-inflammatory IL-10 and a decrease in pro-inflammatory IL-6, indicating a synergy between phage and the host immune response.

microbiology↗

taxmyPHAGE: Automated taxonomy of dsDNA phage genomes at the genus and species

BackgroundBacteriophages are now classified into genera and species based on genomic similarity. To identify new species and genera requires comparison against all phage genomes currently defined by the International Committee on the Taxonomy of Viruses. With increasing amounts of phage genomic data there is a clear need to fully automate the classification of phages into existing and new genera and species. Materials and MethodsWe created a MASH database for rapid searching of closely related phages, to then be compared with BLASTn to compute intergenomic similarity between bacteriophages (https://github.com/amillard/tax_myPHAGE/tree/main). ResultsTaxmyphage is provided as a conda repository and via a user-friendly website, that allows rapid classification of phages into existing taxa at the genus and species level. ConclusionsTaxmyphage allows the rapid and accurate classification of phage genomes into existing genera and species, at a scale that is compatible with existing sequencing output.

microbiology↗

The long and short of it: Benchmarking viromics using Illumina, Nanopore and PacBio sequencing technologies

Viral metagenomics has fuelled a rapid change in our understanding of global viral diversity and ecology. Long-read sequencing and hybrid approaches that combine long and short read technologies are now being widely implemented in bacterial genomics and metagenomics. However, the use of long-read sequencing to investigate viral communities is still in its infancy. While Nanopore and PacBio technologies have been applied to viral metagenomics, it is not known to what extent different technologies will impact the reconstruction of the viral community. Thus, we constructed a mock phage community of previously sequenced phage genomes and sequenced using Illumina, Nanopore, and PacBio sequencing technologies and tested a number of different assembly approaches. When using a single sequencing technology, Illumina assemblies were the best at recovering phage genomes. Nanopore- and PacBio-only assemblies performed poorly in comparison to Illumina in both genome recovery and error rates, which both varied with the assembler used. The best Nanopore assembly had errors that manifested as SNPs and INDELs at frequencies ~4x and 120x higher than found in Illumina only assemblies respectively. While the best PacBio assemblies had SNPs at frequencies ~3.5 x and 12x higher than found in Illumina only assemblies respectively. Despite high read coverage, long-read only assemblies failed to recover a complete genome for any of the 15 phage, down sampling of reads did increase the proportion of a genome that could be assembled into a single contig. Overall the best approach was assembly by a combination of Illumina and Nanopore reads, which reduced error rates to levels comparable with short read only assemblies. When using a single technology, Illumina only was the best approach. The differences in genome recovery and error rates between technology and assembler had downstream impacts on gene prediction, viral prediction, and subsequent estimates of diversity within a sample. These findings will provide a starting point for others in the choice of reads and assembly algorithms for the analysis of viromes. Data SummaryAll reads from virome sequencing were submitted to the ENA under study PRJEB56639. The assemblies are provided via FigShare (https://figshare.com/s/2d9b5121eb421d370455). Author NotesEight Supplementary Tables and nine Supplementary Figures are available with the online version of this article.

microbiology↗

Lysogenized phages of methanotrophic bacteria show a broad and untapped genetic diversity

Methanotrophs are a unique class of bacteria with the ability to metabolize single-carbon compounds such as methane. They play an important role in the global methane cycle and have great potential as industrial platforms for the bioconversion of methane from industrial waste streams into valuable products, such as biofuels and bioplastics. However, many aspects of methanotroph biology have yet to be elucidated, including the prevalence and impact of lysogenized bacteriophages (phages), which can greatly affect both the ecology and the industrial performance of these bacteria. The present study investigates the presence of putative prophages in three gammaproteobacterial (Methylobacter marinus A45, Methylomicrobium album BG8, Methylomonas denitrificans FJG1) and two alphaproteobacterial (Methylosinus trichosporium OB3b, Methylocystis sp. Rockwell) methanotrophs using four programs predicting putative phage sequences (PhageBoost, PHASTER, Phigaro, and Island Viewer). Mitomycin C was used to trigger induction of prophages, which was monitored through infection dynamics. Successfully induced phages from M. marinus A45 (MirA1, MirA2), M. album BG8 (MirB1), and M. trichosporium OB3b (MirO1) were isolated and characterized using transmission electron microscopy. Subsequently, bioinformatic analyses (BLAST and phylogenetics) were performed on three induced phages to obtain a profile of their respective genetic makeup. Their broad diversity and differences from previously known phages, based on whole genome and structural gene sequences, suggest they each represent a new phage family, genus and species: "Britesideviridae Inducovirus miraone", "Patronusviridae Enigmavirus miratwo", and "Kainiviridae Tripudiumvirus miroone" represented by isolates MirA1, MirA2, and MirO1, respectively.

microbiology↗

Antimicrobial resistance in dairy slurry tanks: a critical point for measurement and control

Waste from dairy production is one of the worlds largest sources of contamination from antimicrobial resistant bacteria (ARB) and genes (ARGs). However, studies to date do not provide necessary evidence to inform antimicrobial resistance (AMR) countermeasures. We undertook a detailed, interdisciplinary, longitudinal analysis of dairy slurry waste. The slurry contained a population of ARB and ARGs, with resistances to current, historical and never-used on-farm antibiotics; resistances were associated with Gram-negative and Gram-positive bacteria and mobile elements (ISEcp1, Tn916, Tn21-family transposons). Modelling and experimental work suggested that these populations are in dynamic equilibrium, with microbial death balanced by fresh input. Consequently, storing slurry without further waste input for at least 60 days was predicted to reduce ARB spread onto land, with >99% reduction in cephalosporin resistant Escherichia coli. The model also indicated that for farms with low antibiotic use, further reductions are unlikely to reduce AMR further. We conclude that the slurry tank is a critical point for prevalence and control of AMR, and that measures to limit the spread of AMR from dairy waste should combine responsible antibiotic use, including low total quantity, avoidance of human critical antibiotics, and choosing antibiotics with shorter half-lives, coupled with appropriate slurry storage.

microbiology↗

INfrastructure for a PHAge REference Database: Identification of large-scale biases in the current collection of phage genomes

BackgroundWith advances in sequencing technology and decreasing costs, the number of bacteriophage genomes that have been sequenced has increased markedly in the last decade. Materials and MethodsWe developed an automated retrieval and analysis system for bacteriophage genomes, INPHARED (https://github.com/RyanCook94/inphared), that provides data in a consistent format. ResultsAs of January 2021, 14,244 complete phage genomes have been sequenced. The data set is dominated by phages that infect a small number of bacterial genera, with 75% of phages isolated only on 30 bacterial genera. There is further bias with significantly more lytic phage genomes than temperate within the database, resulting in ~54% of temperate phage genomes originating from just three host genera. Within phage genomes, putative antibiotic resistance genes were found in higher frequencies in temperate phages than lytic phages. ConclusionWe provide a mechanism to reproducibly extract complete phage genomes and highlight some of the biases within this data, that underpins our current understanding of phage genomes.

microbiology↗