Biology subjects

Meaden, S.

Publications and source records attributed to Meaden, S..

13 recordsLinked to original sources

bioRxiv2026

Environmental drivers of soil virus diversity across UK habitats

Soil viruses are critical members of the soil microbiome, shaping terrestrial ecosystem processes and microbial dynamics. However, the environmental factors governing their landscape-scale biogeography remain poorly characterised. Here, we analysed bulk soil metagenomic data from the UKCEH Countryside Survey across broad habitat classes to identify the key drivers of viral diversity and community assembly in UK soils. We show that soil pH is the primary predictor of both viral species richness and overall community composition, alongside significant contributions from the co-related soil organic matter and broad habitat type. Viral species diversity exhibited a strongly non-linear relationship with pH, peaking in neutral to slightly acidic soils. Viral community dissimilarity strongly correlated with 16S rRNA bacterial community structure across all taxonomic ranks, with the strongest association at ASV-level resolution. Despite high spatial turnover among viral contigs, and significant habitat-specific enrichment of particular anti-phage defence systems, viral lifestyle proxies like integrase gene frequencies showed no habitat-specific variation. Together, our results demonstrate that UK soil viral communities are primarily structured by soil pH and habitat parameters and closely coupled to patterns of bacterial host distribution, providing a baseline for future investigations and monitoring of change.

microbiology↗

bioRxiv2025

Longitudinal dynamics of gut plasmidome and antibiotic resistance during antibiotic therapy: a case report

The human gut microbiome is composed of diverse microbes, and its association with human health is well-recognized. Antibiotic therapies for treating infectious diseases often mediate adverse influences on gut microbial ecosystems. Further, ESBL (extended-spectrum beta-lactamase)-producing bacteria potentially residing in the gut benefit from antibiotic-induced environmental changes via positive selection for resistance traits. As antimicrobial resistance (AMR) genes are often harbored by mobile plasmids, the importance of these extrachromosomal mobile genetic elements during antibiotic exposure is evident. However, there is still a knowledge gap in how microbiomes respond to antibiotic treatment especially in terms of plasmid carriage and how gut plasmid populations evolve following and revive after antibiotic therapy. To address these questions, in this case report we investigated the changes in plasmid population in the gut microbiome of a single ESBL-carrying patient during antibiotic therapy for uncomplicated acute appendicitis. Employing longitudinal sampling, we collected E. coli strains and performed metagenomic analysis before, during, and after the treatment. Our findings indicate that the antibiotic treatment is associated with a transient alteration in the microbial composition, AMR profile, and plasmid population. An extensive but temporary domination of ESBL-E. coli within the gut microbiome was observed parallel to the ongoing antibiotic treatment. However, this was not sustained in the follow-up period, indicating a slight restoration of both the microbial composition and the plasmid population. The research underscores the temporary impact of antibiotic therapy on the dynamics of the gut plasmidome which essentially mediate the spread of AMR within the gut microbiome.

microbiology↗

bioRxiv2025

High-resolution Staphylococcus profiling reveals intra-species diversity in a single skin niche

The skin microbiome is dominated by a few key genera, among which Staphylococcus is one of the most well-characterised. Recent studies have examined the roles of various Staphylococcus species such as S. epidermidis and S. hominis within broader skin microbial communities. However, these investigations often rely on isolates from multiple individuals and hence, limiting their ability to capture intra-community interactions. In this study, we focused on the axillary microbiome of a single healthy individual to characterise the genetic and functional diversity of resident Staphylococcus isolates. Using a low-cost, high-throughput DNA extraction and long-read whole genome sequencing pipeline, we generated complete genomes for 93 isolates spanning seven genetically distinct lineages across three major skin species. These comprised of one dominant with three additional lineages of S. epidermidis, two of S. hominis and one of S. capitis. Functional and metabolic analyses revealed species- and strain-specific features, suggesting potential metabolic cross-feeding and specialisation within this community, including within strains of S. epidermidis. These findings highlight the metabolic complexity and potential interdependence of staphylococci inhabiting a single skin site and the need for strain-level resolution of the community. The strains form part of the York Skin Microbiome (YSM) collection, a growing open biobank of genetically diverse skin isolates from matched individuals.

microbiology↗

bioRxiv2025

Phage defence system abundances vary across environments and increase with viral density

The defence systems bacteria use to protect themselves from their viruses are mechanistically and genetically diverse. Yet the ecological conditions that predict when defences are selected for remain unclear, as substantial variation in defence prevalence has been reported. Experimental work in simple communities suggests ecological factors can determine when specific defence systems are most beneficial, but applying these findings to complex communities has been challenging. Here, we use a comprehensive and environmentally balanced collection of metagenomes to survey the defence landscape across complex microbial communities. We also assess the association between the viral community and the prevalence of defence systems. We identify strong environmental effects in predicting overall defence abundance, with animal-host-associated environments and hot environments harbouring more defences overall. We also find a positive correlation between the density and diversity of viruses in the community and the abundance of defence systems. This study provides insights into the ecological factors that influence the composition and distribution of bacterial defence systems in complex microbial environments and outlines future directions for the study of defence system ecology.

microbiology↗

bioRxiv2024

Revealing the diversity of commensal corynebacteria from a single human skin site

Our understanding of the skin microbiome has dramatically improved since the pioneering studies and the improvements in sequencing technologies. Species of the genus Corynebacterium are known to form a major part of the human skin microbiome but most detailed studies have focussed on other similarly prevalent genera like Staphylococcus and Cutibacteria. Prior to this study, there were few complete genomes for skin commensals of the genus Corynebacterium, with only 9 complete genomes available for the most commonly identified species C. tuberculostearicum. In this study we explored the genus Corynebacterium from a single body site by swabbing the axilla/underarm of 4 individuals and using a selective media to enrich for corynebacteria. We then generated whole genome sequencing data of these corynebacteria enriched isolates using long-read sequencing and subsequent bioinformatics analysis to reveal an unparalleled diversity of this genus from a single skin site. Through this approach, we obtained the closed genomes of 215 isolates, 154 derived from a single individual. With this genetic information, we were able to identify 7 different species including species previously not associated to the skin and two novel species provisionally named C. axilliensis and C. jamesii. We used pangenome analysis on 30 genetically distinct isolates spanning the 7 species to identify putative metabolic differences, antimicrobial resistance profiles, novel biosynthetic gene clusters (BGCs), prophages and phage defence systems. Our culture-based Nanopore sequencing approach has dramatically improved our overall knowledge of skin corynebacteria, and uniquely here also providing in-depth analysis from a single skin site, revealing a multitude of differences between the isolates. Here we not only improved our knowledge of axillary corynebacteria but also greatly expanded the publicly available number of cutaneous corynebacterial genomes complementing recent studies seeking to understand the diversity of skin corynebacteria.

microbiology↗

bioRxiv2022

The evolution of host resistance to a virus is determined by resources, historical contingency, and time scale

Hosts can often evolve resistance to parasites (and other stressors), but such resistance is generally thought to be constrained by trade-offs with other traits. These trade-offs determine the hosts optimal resistance strategy and whether resistance cycles, diversifies, and/or is maintained in the absence of parasite. However, trade-offs are often inconsistently measured across experiments and can depend on environmental conditions. Here, we extend a selection experiment evolving resistance to viral infection under variable resource quality in the Plodia interpunctella model system to explore the evolutionary conditions leading to an incongruent earlier measurement of costless resistance. We find that environmental resource quality, historical contingency, and the time scale of selection all affect trade-offs in our long-term selection experiment. Specifically, populations selected for resistance with the dual stressor of low resource quality are slowed, but not prevented, from evolving resistance. Second, variation in starting populations or early sampled adaptations led to contingency towards context-dependent resistance. Finally, some costs to resistance observed at early time points were compensated over longer evolutionary time scales. Our work therefore informs perspectives for the predictability of adaptation and how variation in specific evolutionary conditions can alter the evolutionary trajectories of a population towards costly or costless resistance strategies.

evolutionary biology↗

bioRxiv2021

High viral abundance and low diversity are associated with increased CRISPR-Cas prevalence across microbial ecosystems

CRISPR-Cas are adaptive immune systems that protect their hosts against viruses and other parasitic mobile genetic elements. Consequently, selection from viruses and other genetic parasites is often assumed to drive the acquisition and maintenance of these immune systems in nature, but this remains untested. Here, we analyse the abundance of CRISPR arrays in natural environments using metagenomic datasets from 332 terrestrial, aquatic and host-associated ecosystems. For each metagenome we quantified viral abundance and levels of viral community diversity to test whether these variables can explain variation in CRISPR-Cas abundance across ecosystems. We find a strong positive correlation between CRISPR-Cas abundance and viral abundance. In addition, when controlling for differences in viral abundance, we found that the CRISPR-Cas systems are more abundant when viral diversity is low. We also found differences in relative CRISPR-Cas abundance among environments, with environmental classification explaining [~]24% of variation in CRISPR-Cas abundance. However, the correlations with viral abundance and diversity are broadly consistent across diverse natural environments. These results indicate that viral abundance and diversity are major ecological factors that drive the selection and maintenance of CRISPR-Cas in microbial ecosystems. Significance statementNumerous studies demonstrate that CRISPR-Cas immune systems can provide defence against bacteriophage and archaeal viruses, yet little is known about the ecological conditions where CRISPR-Cas immunity is favoured. Moreover, our knowledge is largely confined to laboratory studies and it is unknown if viruses are a key selective driver of CRISPR-Cas in nature. Using metagenomic data from diverse environments we find that both viral abundance and the abundance of CRISPR-Cas immune systems correlate positively across most environments. Furthermore, CRISPR-Cas systems are more prevalent when viral diversity is low. These results extend previous theoretical work by demonstrating that viruses are a key driver of selection of CRISPR-Cas immune systems across many natural ecosystems.

microbiology↗

bioRxiv2020

Immune Lag Is a Major Cost of Prokaryotic Adaptive Immunity During Viral Outbreaks

CRISPR-Cas adaptive immune systems enable bacteria and archaea to efficiently respond to viral pathogens by creating a genomic record of previous encounters. These systems are broadly distributed across prokaryotic taxa, yet are surprisingly absent in a majority of organisms, suggesting that the benefits of adaptive immunity frequently do not outweigh the costs. Here, combining experiments and models, we show that a delayed immune response which allows viruses to transiently redirect cellular resources to reproduction, which we call "immune lag", is extremely costly during viral outbreaks, even to completely immune hosts. Critically, the costs of lag are only revealed by examining the early, transient dynamics of a host-virus system occurring immediately after viral challenge. Lag is a basic parameter of microbial defense, relevant to all intracellular, post-infection antiviral defense systems, that has to-date been largely ignored by theoretical and experimental treatments of host-phage systems.

microbiology↗

bioRxiv2019

Transient CRISPR immunity leads to coexistence with phages

Phages play a major role in shaping the composition, evolution and function of bacterial communities. While bacteria and phages coexist in many natural environments, their coexistence is often short-lived in the lab due to the evolution of phage resistance. However, fitness costs associated with resistance and mutational loss of resistance alleles may limit the durability of acquired resistances, potentially allowing phages to re-invade the population. Here, we explore this idea in the context of bacteria that evolve CRISPR-based immunity against their phages. Consistent with previous studies, we found that the bacterium Pseudomonas aeruginosa PA14 evolved high levels of CRISPR-based immunity and low levels of surface-based resistance following infection with phage DMS3vir, which led to rapid phage extinction. However, when these pre-immunized bacterial populations were subsequently challenged with the same phage, they failed to clear the infection and instead stably coexisted with the phage. Analysis of bacterial genotypes and phenotypes over time explained why CRISPR-Cas immunity provides only a transient advantage: in the absence of phage (i.e. following the initial phage extinction) formerly CRISPR-immune bacteria regain sensitivity due to evolutionary loss of spacers, whereas in the presence of phage (i.e. upon reinfection) selection favours surface-based resistance over CRISPR immunity. The latter results from an infection-induced fitness cost of CRISPR-immunity that is due to phage gene expression prior to target DNA cleavage by the immune system. Together, these results show that CRISPR-Cas immune systems provide only a transient benefit to bacteria upon phage infection and help to explain why bacteria and phages can coexist in natural environments even when bacteria carry CRISPR-Cas adaptive immune systems that allow for rapid acquisition of immunity against phages.

microbiology↗

bioRxiv2019

The genomic basis of evolved virus resistance is dependent on environmental resources

Parasites impose strong selection on their hosts, but the level of resistance evolved may be constrained by the availability of resources. However, studies identifying the genomic basis of such resource mediated selection are rare, particularly in non-model organisms. Here, we investigated the role of nutrition in the evolution of resistance to a DNA virus (PiGV), and associated trade-offs, in a lepidopteran pest species (Plodia interpunctella). Through selection experiments and whole genome sequencing we identify putative mechanisms of resistance that depend on the nutritional environment during selection. We find that the evolution of resistance is specific to diet, with adaptation to a low nutrition diet constraining resistance when challenged with the pathogen on a high nutrition diet. Resistance in a low nutrition environment is negatively correlated with growth rate, consistent with an established trade-off between immunity and development. Whole genome resequencing of the host shows that resistance mechanisms are highly polygenic and suggests evidence for trade-offs at the genetic level. Critically when populations evolve in high resource conditions, resistance is linked to metabolic and immune pathways, however it is more closely associated with cytoskeleton organisation when selected under low nutrition. Our results emphasise the importance of resources on the evolution of resistance.

evolutionary biology↗

bioRxiv2019

Exploitation of the cooperative behaviours of anti-CRISPR phages

Many bacteria encode CRISPR-Cas (Clustered Regularly Interspaced Short Palindromic Repeats; CRISPR-associated) adaptive immune systems to protect themselves against their viruses (phages)1. To overcome resistance, phages have evolved anti-CRISPR proteins (Acr), which naturally vary in their potency to suppress the host immune system and avoid phage extinction2,3,4,5. However, these Acr-phages need to cooperate in order to overcome CRISPR-based resistance4,5: while many initial infections by Acr-phages are unsuccessful, they nonetheless lead to the production of Acr proteins, which generate immunosuppressed cells that can be successfully exploited by other Acr-phages in the population4,5. Here we test the prediction that phages lacking acr genes (Acr-negative phages) may exploit this cooperative behaviour6. We demonstrate that Acr-negative phages can indeed benefit from the presence of Acr-positive phages during pairwise competitions, but the extent of this exploitation depends on the potency of the Acr protein. Specifically, \"strong\" Acr proteins are more exploitable and benefit both phage types, whereas \"weak\" Acr proteins predominantly benefit Acr-positive phages only and therefore provide a greater fitness advantage during competition with Acr-negative phages. This work further helps to explain what defines the strength of an Acr protein, how selection acts on different Acr types in a phage community context, and how this can shape the dynamics of phage populations in natural communities.

microbiology↗

bioRxiv2018

Evolutionary emergence of infectious diseases in heterogeneous host populations

Emergence and re-emergence of pathogens are notoriously difficult to predict. The erratic nature of those events is reinforced by the stochastic nature of pathogen evolution during the early phase of an epidemic. For instance, mutations allowing pathogens to escape host resistance may boost pathogen spread and promote emergence. Yet, the ecological factors that govern such evolutionary emergence remain elusive both because of the lack of ecological realism of current theoretical frameworks and the difficulty of experimentally testing their predictions. Here we develop a theoretical model to explore the effects of the heterogeneity of the host population on the probability of pathogen emergence, with or without pathogen evolution. We show that evolutionary emergence and the spread of escape mutations in the pathogen population is more likely to occur when the host population contains an intermediate proportion of resistant hosts. We also show that lower pathogen inoculum size and higher diversity of host resistance decrease the probability of evolutionary emergence. Crucially, we present experimental confirmations of these predictions using lytic bacteriophages infecting their bacterial hosts containing diverse CRISPR-Cas immune defenses. We discuss the implications of these results for cross-species spillover and for the management of emerging infectious diseases.\n\nSignificance statementCan we predict the emergence of infectious diseases? The probability that an epidemic breaks out is highly dependent on the ability of the pathogen to acquire new adaptive mutations and to induce evolutionary emergence. Forecasting pathogen emergence thus requires a good understanding of the interplay between epidemiology and evolution taking place at the onset of an outbreak. Here, we provide a comprehensive theoretical framework to analyze the impact of host population heterogeneity on the probability of pathogen evolutionary emergence. We use this model to predict the impact of the fraction of susceptible hosts, the inoculum size of the pathogen and the diversity of host resistance on pathogen emergence. Our experiments using lytic bacteriophages and CRISPR-resistant bacteria support our theoretical predictions.

evolutionary biology↗

bioRxiv2018

Anti-CRISPR phages cooperate to overcome CRISPR-Cas immunity

Some phages encode anti-CRISPR (acr) genes, which antagonize bacterial CRISPR-Cas immune systems by binding components of its machinery, but it is less clear how deployment of these acr genes impacts phage replication and epidemiology. Here we demonstrate that bacteria with CRISPR-Cas resistance are still partially immune to Acr-encoding phage. As a consequence, Acr-phages often need to cooperate in order to overcome CRISPR resistance, with a first phage taking down the host CRISPR-Cas immune system to allow a second Acr- phage to successfully replicate. This cooperation leads to epidemiological tipping points in which the initial density of Acr-phage tips the balance from phage extinction to a phage epidemic. Furthermore, both higher levels of CRISPR-Cas immunity and weaker Acr activities shift the tipping points towards higher phage densities. Collectively these data help to understand how interactions between phage-encoded immune suppressors and the CRISPR systems they target shape bacteria-phage population dynamics.\n\nHighlightsO_LIBacteria with CRISPR immunity remain partially resistant to Acr-phage\nC_LIO_LISequentially infecting Acr phages cooperate to overcome CRISPR resistance\nC_LIO_LIAcr-phage epidemiology depends on the initial phage density\nC_LIO_LICRISPR resistant bacteria can drive Acr phages extinct\nC_LI\n\neTOC blurbSome phages encode Acr proteins that block bacterial CRISPR-Cas immune systems. Although CRISPR-Cas can clear the first infection, this Acr-phage still suppresses the host immune system, which can be exploited by other Acr-phages. This is critical for Acr-phage amplification, but this \"cooperation\" only works beyond a critical Acr-phage density threshold.

microbiology↗