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Ackers Johnson, G.

Publications and source records attributed to Ackers Johnson, G..

2 recordsLinked to original sources

A citywide metagenomic analysis reveals surface-specific microbiome and resistome patterns in outdoor urban environments across Liverpool, UK.

Urbanisation is rapidly increasing worldwide, with increasing attention focused on its consequences for human populations and the environment. Despite the importance of outdoor urban environments for biodiversity and human wellbeing, their microbial ecology remains poorly characterised, particularly in relation to emerging microbial threats including antimicrobial resistance (AMR). Here, we present a citywide metagenomic study of outdoor public surfaces across Liverpool, United Kingdom, examining microbial community composition, diversity, and antimicrobial resistance gene (ARG) distribution across five distinct surface types. We show that patterns of human activity and surface use strongly influence both microbial community structure and AMR signatures in outdoor urban environments. Touchpoints were enriched for human-associated taxa and exhibited the highest overall resistome burdens, whereas Pathway and Waterside niches showed no strong taxonomic enrichment and exhibited low ARG prevalence. Refuse surfaces showed mixed patterns, characterised by sporadic but occasionally high-abundance ARG detections. Soil harboured the most distinct microbial communities but showed minimal ARG prevalence, which may partly reflect the limited representation of environmental taxa in current ARG databases. This study provides a baseline for understanding how urban infrastructure and behaviour shape microbial and resistance landscapes, and highlights the value of outdoor metagenomic surveillance for future environmental and public health research.

microbiology↗

Whole genome sequencing-based characterization of mobile genetic elements in Staphylococcus aureus isolated from patients in Fort Portal Regional Referral Hospital, Western Uganda

BackgroundThe ability of Staphylococcus aureus to evolve through horizontal gene transfer mechanisms aids its success as a versatile pathogen. Mobile genetic elements (MGEs) are linked to potent virulence factors in S. aureus, e.g., the Panton-Valentine leukocidin and toxic shock syndrome toxins, as well as antibiotic resistance genes, e.g., mecA that encodes methicillin resistance. Despite their clinical relevance, molecular surveillance of MGEs in Africa remains limited. Here, we characterize the MGE repertoire of clinically relevant S. aureus isolates from Fort Portal Regional Referral Hospital (FPRRH), western Uganda. MethodsWe assembled a total of 40 genome sequences from previously sequenced S. aureus isolates cultured from patients (skin wounds, urinary tract, and bloodstream infections) at FPRRH during 2017-2019. spaTyper was used to determine the spa genotypes, while the presence of MGEs was screened and annotated for using PlasmidFinder, PHASTEST, Mobile Element Finder, SCCmecFinder, Bakta, MobileOG-db, and IslandViewer tools. ResultsEleven spa types were identified, with spa type t355 predominating. We detected 74 plasmid-derived sequences and 31 insertion sequences. Two SCCmec types, SCCmec type III and SCCmec type IV, were detected, indicating both hospital-associated MRSA (HA-MRSA) and community-associated MRSA (CA-MRSA). Forty-seven intact prophages (all Siphoviridae) were identified, carrying dfrG, sak, and lukPV genes. A total of 191 genomic islands were detected, and these harbored the virulence, immunoevasion, drug, and heavy metal resistance genes, such as nuc, tuf, tst, pvl, tet, blaZ, and mer genes. ConclusionsS. aureus at FPRRH harbors a diverse and functionally rich MGE repertoire, including genomic islands, prophages, insertion sequences, transposons, and plasmids, that contribute to the dissemination of virulence, AMR, and metal resistance determinants. The coexistence of HA-MRSA and CA-MRSA, as seen in other regions of Uganda, underscores the importance of continued genomic surveillance to inform infection control strategies.

genomics↗