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Partridge, D.

Publications and source records attributed to Partridge, D..

2 recordsLinked to original sources

Molecular analysis of Lancefield group C/G streptococci causing human infections in Sheffield, UK.

Lancefield group C/G streptococci (GCS/GGS) are increasingly recognised as significant human pathogens that cause a disease spectrum similar to Streptococcus pyogenes. Despite their high clinical burden in the UK, their genomic diversity remains poorly understood. We performed whole-genome sequencing (WGS) on a prospective collection of 109 consecutive GCS/GGS isolates from all infection types in Sheffield, UK, over five months in 2020. Streptococcus dysgalactiae subsp. equisimilis (SDSE) accounted for 104 isolates, while five were identified as Streptococcus canis. The SDSE population was highly diverse, comprising 15 genomic clusters and 38 unique emm-ST combinations. We identified the presence of the ST20/stG62647 international lineage (24% of isolates), a cluster globally associated with severe invasive disease. Antimicrobial resistance genes were prevalent (49%), predominantly linked to mobile genetic elements carrying tetracycline and macrolide resistance. Furthermore, a variation in the penicillin-binding protein PBP2X (P601L) was linked to reduced penicillin sensitivity (MIC 0.03 mg/L). There were few or no genetic changes in isolates obtained from the same patient, even when they were collected 8-10 weeks apart, indicating long-term persistence within a host. The unexpected detection of S. canis in human infections and the high diversity of SDSE, persistence and virulence-associated regions underscore the need for enhanced national genomic surveillance to track emerging virulent and antibiotic-resistant SDSE lineages. Impact statementLancefield group C and G streptococci, most often the species Streptococcus dysgalactiae subsp. equisimilis (SDSE), are an increasingly significant human pathogen, often mirroring the severity of infections caused by Lancefield group A Streptococcus (S. pyogenes). Despite its clinical importance, we know little about the population of SDSE circulating in the UK. This study provides the first comprehensive genomic analysis of SDSE isolates from a single UK region, identifying a highly diverse population comprising 15 distinct genomic clusters but with evidence of long-term persistence within a single host. Notably, we confirm the presence of the international stG62647/ST20 lineage in the UK, which is globally associated with severe invasive disease. Our findings also reveal a high prevalence of antimicrobial resistance genes ([~]49%), primarily linked to mobile genetic elements, and the presence of a specific variation in the penicillin-binding protein PBP2X that reduces penicillin sensitivity. Additionally, the unexpected detection of S. canis in human infections rather than animals highlights a need for monitoring. By defining the UKs SDSE population structure and its resistance landscape, this research underscores the critical need for enhanced national genomic surveillance to track emerging high-virulence and antibiotic-resistant lineages Data summarySequence files for isolates from Sheffield used for this study have been uploaded to the sequence read archive with project accession number PRJNA1333937 and accession numbers provided in Supplementary Dataset 1. The completed genome for SDE096 been deposited on GenBank with the accession number JBSXMJ000000000.

microbiology↗

periscope: sub-genomic RNA identification in SARS-CoV-2 ARTIC Network Nanopore Sequencing Data

We have developed periscope, a tool for the detection and quantification of sub-genomic RNA (sgRNA) in SARS-CoV-2 genomic sequence data. The translation of the SARS-CoV-2 RNA genome for most open reading frames (ORFs) occurs via RNA intermediates termed "sub-genomic RNAs". sgRNAs are produced through discontinuous transcription which relies on homology between transcription regulatory sequences (TRS-B) upstream of the ORF start codons and that of the TRS-L which is located in the 5 UTR. TRS-L is immediately preceded by a leader sequence. This leader sequence is therefore found at the 5 end of all sgRNA. We applied periscope to 1,155 SARS-CoV-2 genomes from Sheffield, UK and validated our findings using orthogonal datasets and in vitro cell systems. Using a simple local alignment to detect reads which contain the leader sequence we were able to identify and quantify reads arising from canonical and non-canonical sgRNA. We were able to detect all canonical sgRNAs at expected abundances, with the exception of ORF10. A number of recurrent non-canonical sgRNAs are detected. We show that the results are reproducible using technical replicates and determine the optimum number of reads for sgRNA analysis. In VeroE6 ACE2+/- cell lines, periscope can detect the changes in the kinetics of sgRNA in orthogonal sequencing datasets. Finally, variants found in genomic RNA are transmitted to sgRNAs with high fidelity in most cases. This tool can be applied to all sequenced COVID-19 samples worldwide to provide comprehensive analysis of SARS-CoV-2 sgRNA.

bioinformatics↗