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dc.contributor.authorMcHugh, Martin P
dc.contributor.authorPettigrew, Kerry A
dc.contributor.authorTaori, Surabhi
dc.contributor.authorEvans, Thomas J
dc.contributor.authorLeanord, Alistair
dc.contributor.authorGillespie, Stephen H
dc.contributor.authorTempleton, Kate E
dc.contributor.authorHolden, Matthew T G
dc.date.accessioned2024-02-20T15:30:06Z
dc.date.available2024-02-20T15:30:06Z
dc.date.issued2024-03
dc.identifier299164016
dc.identifierc68306c0-6bb0-430e-8232-6ba9aae3aac3
dc.identifier38323373
dc.identifier85186332647
dc.identifier.citationMcHugh , M P , Pettigrew , K A , Taori , S , Evans , T J , Leanord , A , Gillespie , S H , Templeton , K E & Holden , M T G 2024 , ' Consideration of within-patient diversity highlights transmission pathways and antimicrobial resistance gene variability in vancomycin-resistant Enterococcus faecium ' , Journal of Antimicrobial Chemotherapy , vol. 79 , no. 3 , dkae023 , pp. 656-668 . https://doi.org/10.1093/jac/dkae023en
dc.identifier.issn0305-7453
dc.identifier.otherORCID: /0000-0001-6537-7712/work/152899229
dc.identifier.otherORCID: /0000-0002-0370-3700/work/152899383
dc.identifier.otherORCID: /0000-0002-4958-2166/work/152899511
dc.identifier.urihttps://hdl.handle.net/10023/29303
dc.descriptionThis work was funded by the Chief Scientist Office (Scotland) through the Scottish Healthcare Associated Infection Prevention Institute (Reference SIRN/10)en
dc.description.abstractBACKGROUND: WGS is increasingly being applied to healthcare-associated vancomycin-resistant Enterococcus faecium (VREfm) outbreaks. Within-patient diversity could complicate transmission resolution if single colonies are sequenced from identified cases. OBJECTIVES: Determine the impact of within-patient diversity on transmission resolution of VREfm. MATERIALS AND METHODS: Fourteen colonies were collected from VREfm positive rectal screens, single colonies were collected from clinical samples and Illumina WGS was performed. Two isolates were selected for Oxford Nanopore sequencing and hybrid genome assembly to generate lineage-specific reference genomes. Mapping to closely related references was used to identify genetic variations and closely related genomes. A transmission network was inferred for the entire genome set using Phyloscanner. RESULTS AND DISCUSSION: In total, 229 isolates from 11 patients were sequenced. Carriage of two or three sequence types was detected in 27% of patients. Presence of antimicrobial resistance genes and plasmids was variable within genomes from the same patient and sequence type. We identified two dominant sequence types (ST80 and ST1424), with two putative transmission clusters of two patients within ST80, and a single cluster of six patients within ST1424. We found transmission resolution was impaired using fewer than 14 colonies. CONCLUSIONS: Patients can carry multiple sequence types of VREfm, and even within related lineages the presence of mobile genetic elements and antimicrobial resistance genes can vary. VREfm within-patient diversity could be considered in future to aid accurate resolution of transmission networks.
dc.format.extent13
dc.format.extent1156691
dc.language.isoeng
dc.relation.ispartofJournal of Antimicrobial Chemotherapyen
dc.subjectQR Microbiologyen
dc.subject3rd-NDASen
dc.subject.lccQRen
dc.titleConsideration of within-patient diversity highlights transmission pathways and antimicrobial resistance gene variability in vancomycin-resistant Enterococcus faeciumen
dc.typeJournal articleen
dc.contributor.institutionUniversity of St Andrews. Infection and Global Health Divisionen
dc.contributor.institutionUniversity of St Andrews. School of Medicineen
dc.contributor.institutionUniversity of St Andrews. Sir James Mackenzie Institute for Early Diagnosisen
dc.contributor.institutionUniversity of St Andrews. Centre for Biophotonicsen
dc.contributor.institutionUniversity of St Andrews. Biomedical Sciences Research Complexen
dc.contributor.institutionUniversity of St Andrews. Global Health Implementation Groupen
dc.contributor.institutionUniversity of St Andrews. St Andrews Bioinformatics Uniten
dc.identifier.doi10.1093/jac/dkae023
dc.description.statusPeer revieweden


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