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Cummins, E. A.

Publications and source records attributed to Cummins, E. A..

7 recordsLinked to original sources

Genetic context drives evolution of divergent antibiotic survival phenotypes in Staphylococcus epidermidis

Effective treatment of infections is a global challenge, complicated by bacterias capacity to endure antibiotics. Survival under drug pressure is often driven by interactions between genetic factors rather than single genes. To investigate the genomics underlying antibiotic survival, we analysed Staphylococcus epidermidis isolates from clinical infections and carriage using high-throughput phenotyping, population genomics, and directed evolution. We observed widespread multidrug resistance, with strong links between specific genomic elements and resistance. All isolates harbouring mecA were resistant to oxacillin, though minimum inhibitory concentrations varied significantly, suggesting modulation by additional genetic factors. Directed evolution revealed potentiating mutations that enhanced oxacillin resistance in mecA+ strains. In mecA-isolates, however, evolution of mutations in the same genes conferred increased survival to oxacillin through antibiotic tolerance. These findings show that antibiotic resistance and tolerance can be genetically connected yet phenotypically distinct, and suggest a complex epistatic genetic landscape that shapes antibiotic survival phenotypes in S. epidermidis.

microbiology↗

Genomic rearrangement of the capsule operon in a phylogenetically distinct cluster of the multi-drug resistant Escherichia coli lineage ST131

Escherichia coli ST131 is a dominant cause of multi-drug resistant extra-intestinal infections in humans. The lineage has a three-clade phylogenetic structure of which clade C has gained resistance to multiple classes of antibiotics and is globally disseminated. As well as antimicrobial resistance, a number of virulence factors contribute to the success of ST131 clade C, including the production of capsule. Previous work on a limited number of strains has shown that the capsule operon in ST131 is highly variable. In this study we analysed the capsule genetics of E. coli ST131 by interrogating 3,033 genomes. Our data show a clonal distribution of capsule types and identify a monophyletic group of ST131 clade C strains which are characterised by an atypical capsule operon with highly divergent alleles of the key kpsM and kpsT genes. Our analysis suggests there is ongoing evolution within clade C of ST131 which looks to be driven not by continuing evolution of antimicrobial resistance, but by host-pathogen interactions.

microbiology↗

Genome co-adaptation and the evolution of methicillin resistant Staphylococcus auerus (MRSA)

BackgroundAntimicrobial resistance (AMR) in bacterial pathogens is a major threat to global health, rendering standard treatments ineffective and increasing the risk of severe infection or death. Resistance is often conferred by genes that are transferred horizontally among species and strains. However, for many bacteria, little is known about the genetic variation that potentiates resistance gene acquisition and accommodates acquired genes in the coadapted recipient genome. ResultsHere we introduce a new bioinformatics genome-wide association study approach with Guided Omission of Linkage Disequilibrium (GOLD-GWAS) that masks covarying alleles explained by coinheritance and genome proximity to reveal genes where covarying sequence likely represents functional linkage between loci, consistent with epistasis. Analysing 806 Staphylococcus aureus isolate genomes, including methicillin-resistant (MRSA) and methicillin-susceptible (MSSA) strains, we identify genes that covary with the presence of the acquired staphylococcal cassette chromosome mec (SCCmec) that houses the mecA resistance gene. ConclusionsUncovering known and new gene-gene associations, we demonstrate how resistance can involve genetic coalitions beyond the well-known AMR genes. Understanding how genome change, here extrinsic resistance cassettes, are integrated within coadapted bacterial genomes is an important step towards mitigating AMR evolution by identifying novel genetic targets for risk prediction, diagnosis and therapy.

microbiology↗

The Kocurious case of Noodlococcus: genomic insights into Kocuria rhizophila from characterisation of a laboratory contaminant

The laboratory contaminant Noodlococcus was named for its coccoid cells and unusual colony morphology, which resembled a pile of noodles. Along with laboratory characterisation and electron microscopy, we generated a complete Noodlococcus genome sequence using Illumina and Oxford Nanopore data. The genome consisted of a single, circular, 2732108 bp chromosome that shared 97.5% Average Nucleotide Identity (ANI) with the Kocuria rhizophila type strain TA68. We identified genomic features involved in replication (oriC), carotenoid synthesis (crt), and genome defence (CRISPR-Cas), and discovered four novel mobile elements (ISKrh4-7). Despite its environmental ubiquity and relevance to food production, bioremediation, and human medicine, there have been few genomic studies of the Kocuria genus. We conducted a comparative, phylogenetic, and pangenomic examination of all 257 publicly available Kocuria genomes, with a particular focus on the 56 that were identified as K. rhizophila. We found that there are two phylogenetically distinct clades of K. rhizophila, with within-clade ANI values of 96.7-100.0% and between-clade values of 89.5-90.4%. The second clade, which we refer to as K. pseudorhizophila, exhibited ANI values of <95% relative to TA68 and constitutes a separate species. Delineation of the two clades would be consistent with the rest of the genus, where all other species satisfy the 95% ANI threshold criteria. Differences in the K. rhizophila and K. pseudorhizophila pangenomes likely reflect phenotypic as well as evolutionary divergence. This distinction is relevant to clinical and industrial settings, as strains and genomes from both clades are currently used interchangeably, which may lead to reproducibility issues and phenotype-genotype discordance. Investigating an innocuous laboratory contaminant has therefore provided useful insights into the understudied species K. rhizophila, prompting an unexpected reassessment of its taxonomy. Impact statementBacterial genome sequence databases are dominated by a relatively small number of medically relevant genera, while most of the global bacterial populations diversity is largely uncharacterised. Kocuria is a widespread bacterial genus with industrial and medical relevance. Despite its ubiquity, only 22 complete and 235 draft Kocuria genomes were publicly available at the outset of this study. Our phylogenetic and pangenomic examination of all available Kocuria genomes was the first for this genus, providing insights into its diversity and taxonomy. Most notably, we found that Kocuria rhizophila is comprised of two clades that are sufficiently divergent to constitute different species, but are frequently used interchangeably in experimental and genomic research. The complete, high-quality Noodlococcus genome generated and characterised here can serve as a reference for true K. rhizophila, particularly while there is only a draft genome sequence available for type strain TA68. Data summarySequencing reads and the assembled Noodlococcus genome are available from NBCI BioProject accession PRJNA835814 and BioSample accession SAMN28111796. The complete sequence of the Noodlococcus chromosome can be found in the GenBank nucleotide database under accession number CP097204.1. Entries for the novel insertion sequences ISKrh4 to ISKrh7 can be found in the ISFinder database (https://isfinder.biotoul.fr).

genomics↗

Non-antibiotic pharmaceuticals exhibit toxicity against Escherichia coli at environmentallyrelevant concentrations with no evolution of cross-resistance to antibiotics

Antimicrobial resistance can arise in the natural environment via prolonged exposure to the effluent surrounding manufacturing facilities. These facilities also produce non-antibiotic pharmaceuticals, and the effect of these on the surrounding microbial communities is less clear; whether they have inherent toxicity, or whether long-term exposure might select for cross-resistance to antibiotics. To this end, we screened four non-antibiotic pharmaceuticals (acetaminophen, ibuprofen, propranolol, met formin) and titanium dioxide for toxicity against Escherichia coli K-12 MG1655 and conducted a 30 day selection experiment to assess the effect of long-term exposure. All compounds reduced the maximum optical density reached by E. coli at a range of concentrations including one of environmental relevance, with transcriptome analysis identifying upregulated genes related to stress response and multidrug efflux in response ibuprofen treatment. The non-antibiotic pharmaceuticals did not select for significant genetic changes following a 30 day exposure, and no evidence of selection for cross-resistance to antibiotics was observed for population evolved in the presence of ibuprofen in spite of the differential gene expression after exposure to this compound. This work suggests that these non-antibiotic pharmaceuticals, at environmental concentrations, do not select for cross-resistance to antibiotics in E. coli.

microbiology↗

GR13-type plasmids in Acinetobacter potentiate the accumulation and horizontal transfer of diverse accessory genes

Carbapenem resistance and other antibiotic resistance genes (ARGs) can be found in plasmids in Acinetobacter, but many plasmid types in this genus have not been well-characterised. Here we describe the distribution, diversity and evolutionary capacity of rep group 13 (GR13) plasmids that are found in Acinetobacter species from diverse environments. Our investigation was prompted by the discovery of two GR13 plasmids in A. baumannii isolated in an intensive care unit (ICU). The plasmids harbour distinct accessory genes: pDETAB5 contains blaNDM-1 and genes that confer resistance to four further antibiotic classes, while pDETAB13 carries putative alcohol tolerance determinants. Both plasmids contain multiple dif modules, which are flanked by pdif sites recognised by XerC/XerD tyrosine recombinases. The ARG-containing dif modules in pDETAB5 are almost identical to those found in pDETAB2, a GR34 plasmid from an unrelated A. baumannii isolated in the same ICU a month prior. Examination of a further 41 complete, publicly available plasmid sequences revealed that the GR13 pangenome consists of just four core but 1086 accessory genes, 123 in the shell and 1063 in the cloud, reflecting substantial capacity for diversification. The GR13 core genome includes genes for replication and partitioning, and for a putative tyrosine recombinase. Accessory segments encode proteins with diverse putative functions, including for metabolism, antibiotic/heavy metal/alcohol tolerance, restriction-modification, an anti-phage system and multiple toxin-antitoxin systems. The movement of dif modules and actions of insertion sequences play an important role in generating diversity in GR13 plasmids. Discrete GR13 plasmid lineages are internationally disseminated and found in multiple Acinetobacter species, which suggests they are important platforms for the accumulation, horizontal transmission and persistence of accessory genes in this genus. Impact statementAcinetobacter species are particularly well-adapted for persistence in hospital environments where they pose a life-threatening infection risk to the most clinically-vulnerable patients. Plasmids with the potential to transfer multiple antibiotic resistance determinants between Acinetobacter species are therefore concerning, but most are not well-characterised. This work sheds further light on the poorly-understood mobile gene pool associated with Acinetobacter. We show here that GR13 plasmids carry a small set of core genes but have access to a highly diverse set of accessory segments that might provide fitness advantages under certain conditions. The complex evolutionary dynamics of GR13 plasmids appear to be driven by the exchange of dif modules and by the actions of a diverse population of insertion sequences. The novel dif modules characterised here emphasise the broader importance of these elements to the dissemination of accessory genes in Acinetobacter. This study has improved our understanding of the diversity and distribution of dif modules, plasmids that carry them, and how both disseminate in the continuum of Acinetobacter populations that link hospitals and the wider environment.

microbiology↗

Gene-gene relationships in an Escherichia coli accessory genome are linked to function and mobility

The pangenome contains all genes encoded by a species, with the core genome present in all strains and the accessory genome in only a subset. Coincident gene relationships are expected within the accessory genome, where the presence or absence of one gene is influenced by the presence or absence of another. Here, we analysed the accessory genome of an Escherichia coli pangenome consisting of 400 genomes from 20 sequence types to identify genes that display significant co-occurrence or avoidance patterns with one another. We present a complex network of genes that are either found together or that avoid one another more often than would be expected by chance, and show that these relationships vary by lineage. We demonstrate that genes co-occur by function, and that several highly connected gene relationships are linked to mobile genetic elements. We find that genes are more likely to co-occur with, rather than avoid, another gene, suggesting that cooperation is more common than conflict in the accessory genome. This work furthers our understanding of the dynamic nature of prokaryote pangenomes and implicates both function and mobility as drivers of gene relationships. Data summaryAll Supplementary Data files and the Python scripts used in the analyses are available at doi.org/10.17639/nott.7103. Impact statementThe pangenome of a species encompasses the core genes encoded by all genomes, as well as the accessory genes found in only a subset. Much remains to be understood about the relationships and interactions between accessory genes; in particular, what drives pairs of genes to appear together in the same genome, or what prevents them from being in the same genome together, more often than expected by chance. How these co-occurrence and avoidance relationships develop, and what effect they have on the dynamics and evolution of the pangenome as a whole, is largely unknown. Here, we present a springboard for understanding prokaryote pangenome evolution by uncovering significant gene relationships in a model Escherichia coli pangenome. We identify mobile genetic elements and the sharing of common function as possible driving forces behind the co-occurrence of accessory genes. Furthermore, this work offers an extensive dataset from which gene relationships could be identified for any gene of interest in this E. coli accessory genome, providing a rich resource for the community.

evolutionary biology↗