- Volume 11, Issue 1, 2025

A diverse array of micro-organisms can be found on food, including those that are pathogenic or resistant to antimicrobial drugs. Metagenomics involves extracting and sequencing the DNA of all micro-organisms on a sample, and here, we used a combination of culture and culture-independent approaches to investigate the microbial ecology of food to assess the potential application of metagenomics for the microbial surveillance of food. We cultured common foodborne pathogens and other organisms including Escherichia coli, Klebsiella/Raoultella spp., Salmonella spp. and Vibrio spp. from five different food commodities and compared their genomes to the microbial communities obtained by metagenomic sequencing following host (food) DNA depletion. The microbial populations of retail food were found to be predominated by psychrotrophic bacteria, driven by the cool temperatures in which the food products are stored. Pathogens accounted for a small percentage of the food metagenome compared to the psychrotrophic bacteria, and cultured pathogens were inconsistently identified in the metagenome data. The microbial composition of food varied amongst different commodities, and metagenomics was able to classify the taxonomic origin of 59% of antimicrobial resistance genes (ARGs) found on food to the genus level, but it was unclear what percentage of ARGs were associated with mobile genetic elements and thus transferable to other bacteria. Metagenomics may be used to survey the ARG burden, composition and carriage on foods to which consumers are exposed. However, food metagenomics, even after depleting host DNA, inconsistently identifies pathogens without enrichment or further bait capture.

Introduction. Genes encoding OXA-48-like carbapenem-hydrolyzing enzymes are often located on plasmids and are abundant among carbapenemase-producing Enterobacterales (CPE) worldwide. After a large bla OXA-48 plasmid-mediated outbreak in 2011, routine screening of patients at risk of CPE carriage on admission and every 7 days during hospitalization was implemented in a large hospital in the Netherlands. The objective of this study was to investigate the dynamics of the hospitals’ 2011 outbreak-associated bla OXA-48 plasmid among CPE collected from 2011 to 2021.

Methods. A selection of 86 bla OXA-48-carrying CPE isolates was made from 374 isolates collected over an 11-year study period. Species included Escherichia coli (Eco), Klebsiella pneumoniae (Kpn), Enterobacter cloacae complex (Ecl), Citrobacter freundii (Cfr), Citrobacter koseri (Cko) and Morganella morgani (Mmo). Short-read sequencing was combined with long-read sequencing for all isolates to reconstruct bla OXA-48-like plasmids and chromosomes of CPE. MASH, MOBsuite, ResFinder, PlasmidFinder and SNP analyses were performed to study diversity. pOXA-48 plasmids were compared to plasmid sequences that were sequenced for the Dutch CPE surveillance in the same time period.

Results. In total for the 86 CPE, 2 failed genomic assemblies and 78 bla OXA-48-encoding plasmids were reconstructed, and six bla OXA-48 genes were located chromosomally. The 2011 outbreak-associated bla OXA-48 plasmid of 63.6 kb with IncL replicon was found in Cfr, Ecl, Eco, Kpn and Mmo and primarily between 2011 and 2014 and indicated as LR025105 as MASH nearest neighbour. From 2014 onwards, 11 other types of bla OXA-48-carrying plasmids with different antibiotic-resistant genes and replicons were discovered, representing the earlier defined distinct pOXA-48 plasmid groups found in the Netherlands. Furthermore, on a national level, the LR025105 plasmid was found after 2015 in many different bacterial backgrounds, highlighting the promiscuous nature of this pOXA-48 plasmid.

Conclusion. After a large bla OXA-48 outbreak in a large hospital in the Netherlands, the composition of the bla OXA-48 plasmid population in this hospital diversified over time and is in line with national surveillance data. Plasmid sequencing provided valuable insight into the transmission dynamics of bla OXA-48-encoding plasmids and showed no indication of the persistence of the 2011 bla OXA-48 plasmid in the hospital environment.

Background. The Staphylococcus capitis NRCS-A strain has emerged as a global cause of late-onset sepsis associated with outbreaks in neonatal intensive care units (NICUs) whose transmission is incompletely understood.

Methods. Demographic and clinical data for 45 neonates with S. capitis and 90 with other coagulase-negative staphylococci (CoNS) isolated from sterile sites were reviewed, and clinical significance was determined. S. capitis isolated from 27 neonates at 2 hospitals between 2017 and 2022 underwent long-read (ONT) (n=27) and short-read (Illumina) sequencing (n=18). These sequences were compared with S. capitis sequenced from blood culture isolates from other adult and paediatric patients in the same hospitals (n=6), S. capitis isolated from surface swabs (found in 5/150 samples), rectal swabs (in 2/69 samples) in NICU patients and NICU environmental samples (in 5/114 samples). Reads from all samples were mapped to a hybrid assembly of a local sterile site strain, forming a complete UK NRCS-A reference genome, for outbreak analysis and comparison with 826 other S. capitis from the UK and Germany.

Results. S. capitis bacteraemia was associated with increased length of NICU stay at sampling (median day 22 vs day 12 for other CoNS isolated; P=0.05). A phylogeny of sequenced S. capitis revealed a cluster comprised of 25/27 neonatal sterile site isolates and 3/5 superficial, 2/2 rectal and 1/5 environmental isolates. No isolates from other wards belonged to this cluster. Phylogenetic comparison with published sequences confirmed that the cluster was NRCS-A outbreak strain but found a relatively high genomic diversity (mean pairwise distance of 84.9 SNPs) and an estimated NRCS-A S. capitis molecular clock of 5.1 SNPs/genome/year (95% credibility interval 4.3–5.9). The presence of S. capitis in superficial cultures did not correlate with neonatal bacteraemia, but both neonates with rectal NRCS-A S. capitis carriage identified also experienced S. capitis bacteraemia.

Conclusions. S. capitis bacteraemia occurred in patients with longer NICU admission than other CoNS. Genomic analysis confirms clinically significant infections with the NRCS-A S. capitis strain, distinct from non-NICU clinical samples. Multiple introductions of S. capitis, rather than prolonged environmental persistence, were seen over 5 years of infections.

In Aotearoa New Zealand, urinary tract infections in humans are commonly caused by extended-spectrum beta-lactamase (ESBL)-producing Escherichia coli. This group of antimicrobial-resistant bacteria are often multidrug resistant. However, there is limited information on ESBL-producing E. coli found in the environment and their link with human clinical isolates. In this study, we examined the genetic relationship between environmental and human clinical ESBL-producing E. coli and isolates collected in parallel within the same area over 14 months. Environmental samples were collected from treated effluent, stormwater and multiple locations along an Aotearoa New Zealand river. Treated effluent, stormwater and river water sourced downstream of the treated effluent outlet were the main samples that were positive for ESBL-producing E. coli (7/14 samples, 50.0%; 3/6 samples, 50%; and 15/28 samples, 54%, respectively). Whole-genome sequence comparison was carried out on 307 human clinical and 45 environmental ESBL-producing E. coli isolates. Sequence type 131 was dominant for both clinical (147/307, 47.9%) and environmental isolates (11/45, 24.4%). Only one ESBL gene was detected in each isolate. Among the clinical isolates, the most prevalent ESBL genes were bla CTX-M-27 (134/307, 43.6%) and bla CTX-M-15 (134/307, 43.6%). Among the environmental isolates, bla CTX-M-15 (28/45, 62.2%) was the most prevalent gene. A core SNP analysis of these isolates suggested that some strains were shared between humans and the local river. These results highlight the importance of understanding different transmission pathways for the spread of ESBL-producing E. coli.