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Gharbia, S.

Publications and source records attributed to Gharbia, S..

3 recordsLinked to original sources

Presence of phage-plasmids in multiple serovars of Salmonella enterica

Evidence is accumulating in the literature that the horizontal spread of antimicrobial resistance (AMR) genes mediated by bacteriophages and bacteriophage-like plasmid (phage-plasmid) elements is much more common than previously envisioned. For instance, we recently identified and characterised a circular P1-like phage-plasmid harbouring a blaCTX-M-15 gene conferring extended-spectrum beta-lactamase (ESBL) resistance in Salmonella enterica serovar Typhi. As the prevalence and epidemiological relevance of such mechanisms has never been systematically assessed in Enterobacterales, in this study we carried out a follow-up retrospective analysis of UK Salmonella isolates previously sequenced as part of routine surveillance protocols between 2016 and 2021. Using a high-throughput bioinformatics pipeline we screened 47,784 isolates for the presence of the P1 lytic replication gene repL, identifying 226 positive isolates from 25 serovars and demonstrating that phage-plasmid elements are more frequent than previously thought. The affinity for phage-plasmids appears highly serovar-dependent, with several serovars being more likely hosts than others; most of the positive isolates (170/226) belonged to S. Typhimurium ST34 and ST19. The phage-plasmids ranged between 85.8-98.2kb in size, with an average length of 92.1kb; detailed analysis indicated a high amount of diversity in gene content and genomic architecture. 132 phage-plasmids had the p0111 plasmid replication type, and 94 the IncY type; phylogenetic analysis indicated that both horizontal and vertical gene transmission mechanisms are likely to be involved in phage-plasmid propagation. Finally, phage-plasmids were present in isolates that were resistant and non-resistant to antimicrobials. In addition to providing a first comprehensive view of the presence of phage-plasmids in Salmonella, our work highlights the need for a better surveillance and understanding of phage-plasmids as AMR carriers, especially through their characterisation with long-read sequencing. Data SummaryAll of the FASTQ files examined in this study have been uploaded to the Sequence Read Archive under BioProject PRJNA248792. Accessions of individual isolates which were found to contain phage plasmids are listed in Supplementary Table S1. Impact StatementBacteriophage-like plasmids are increasingly being recognised as important mobile elements in many species of bacteria, particularly due to their involvement in the transmission of antimicrobial resistance (AMR); however, few studies of their overall prevalence in clinical datasets have been undertaken to date. In this study we have performed the first large-scale surveillance of human disease-associated Salmonella genomes for the presence of P1-like phage-plasmids, showing that they are more common than previously thought. Furthermore, we highlight how valuable information about the evolution and transmission of phage-plasmids in Salmonella and other Enterobacterales can be revealed by linking phage-plasmid prevalence and genetic diversity to epidemiologically relevant metadata such as S. enterica serovar, outbreak clusters, time, and geography. Our work shows the ability to use sequencing data and scalable bioinformatics workflows for the detection and characterisation of these extrachromosomal elements, highlights the importance of screening for novel mechanisms of AMR transmission, and provides a foundation for further surveillance studies of phage-plasmid prevalence.

microbiology↗

Comparison of single nucleotide variants identified by Illumina and Oxford Nanopore technologies in the context of a potential outbreak of Shiga Toxin Producing Escherichia coli.

BackgroundWe aimed to compare Illumina and Oxford Nanopore Technology (ONT) sequencing data from the two isolates of STEC O157:H7 to determine whether concordant single nucleotide variants were identified and whether inference of relatedness was consistent with the two technologies.\n\nResultsFor the Illumina workflow, the time from DNA extraction to availability of results, was approximately 40 hours in comparison to the ONT workflow where serotyping, Shiga toxin subtyping variant identification were available within seven hours. After optimisation of the ONT variant filtering, on average 95% of the discrepant positions between the technologies were accounted for by methylated positions found in the described 5-Methylcytosine motif sequences, CC(A/T)GG. Of the few discrepant variants (6 and 7 difference for the two isolates) identified by the two technologies, it is likely that both methodologies contain false calls.\n\nConclusionsDespite these discrepancies, Illumina and ONT sequences from the same case were placed on the same phylogenetic location against a dense reference database of STEC O157:H7 genomes sequenced using the Illumina workflow. Robust SNP typing using MinION-based variant calling is possible and we provide evidence that the two technologies can be used interchangeably to type STEC O157:H7 in a public health setting.

microbiology↗

Rapid whole genome amplification and sequencing of low cell numbers in a bacteraemia model

Whilst next generation sequencing is frequently used to whole genome sequence bacteria from cultures, its rarely applied directly to clinical samples. Therefore, this study addresses the issue of applying NGS microbial diagnostics directly to blood samples. To demonstrate the potential of direct from blood sequencing a bacteria spiked blood model was developed. Horse blood was spiked with clinical samples of E. coli and S. aureus, and a process developed to isolate bacterial cells whilst removing the majority of host DNA. One sample of each isolate was then amplified using {phi}29 multiple displacement amplification (MDA) and sequenced. The total processing time, from sample to amplified DNA ready for sequencing was 3.5 hours, significantly faster than the 18-hour overnight culture step which is typically required. Both bacteria showed 100% survival through the processing. The direct from sample sequencing resulted in greater than 92% genome coverage of the pathogens whilst limiting the sequencing of host genome (less than 7% of all reads). Analysis of de novo assembled reads allowed accurate genotypic antibiotic resistance prediction. The sample processing is easily applicable to multiple sequencing platforms. Overall this model demonstrates potential to rapidly generate whole genome bacterial data directly from blood.

microbiology↗