To Örebro University

oru.seÖrebro University Publications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Evaluation of within-host evolution of methicillin-resistant Staphylococcus aureus (MRSA) by comparing cgMLST and SNP analysis approaches
Örebro University, School of Medical Sciences. Department of Laboratory Medicine, Clinical Microbiology.ORCID iD: 0009-0003-0362-1056
Örebro University, School of Medical Sciences. Örebro University Hospital. Department of Laboratory Medicine, Clinical Microbiology.
1928 Diagnostics, Gothenburg, Sweden.
Örebro University, School of Medical Sciences. Department of Laboratory Medicine, Clinical Microbiology, Faculty of Medicine and Health, Örebro University, Örebro, Sweden; Department of Bacteria, Parasites and Fungi, Statens Serum Institut, Copenhagen, Denmark.ORCID iD: 0000-0003-0321-1180
Show others and affiliations
2022 (English)In: Scientific Reports, E-ISSN 2045-2322, Vol. 12, no 1, article id 10541Article in journal (Refereed) Published
Abstract [en]

Whole genome sequencing (WGS) of methicillin-resistant Staphylococcus aureus (MRSA) provides high-resolution typing, facilitating surveillance and outbreak investigations. The aim of this study was to evaluate the genomic variation rate in MRSA, by comparing commonly used core genome multilocus sequencing (cgMLST) against single nucleotide polymorphism (SNP) analyses. WGS was performed on 95 MRSA isolates, collected from 20 carriers during years 2003-2019. To assess variation and methodological-related differences, two different cgMLST schemes were obtained using Ridom SeqSphere+ and the cloud-based 1928 platform. In addition, two SNP methods, 1928 platform and Northern Arizona SNP Pipeline (NASP) were used. The cgMLST using Ridom SeqSphere+ and 1928 showed a median of 5.0 and 2.0 allele variants/year, respectively. In the SNP analysis, performed with two reference genomes COL and Newman, 1928 showed a median of 13 and 24 SNPs (including presumed recombination) and 3.8 respectively 4.0 SNPs (without recombination) per individual/year. Accordantly, NASP showed a median of 5.5 and 5.8 SNPs per individual/year. In conclusion, an estimated genomic variation rate of 2.0-5.8 genetic events per year (without recombination), is suggested as a general guideline to be used at clinical laboratories for surveillance and outbreak investigations independently of analysis approach used.

Place, publisher, year, edition, pages
Nature Publishing Group, 2022. Vol. 12, no 1, article id 10541
National Category
Biomedical Laboratory Science/Technology
Identifiers
URN: urn:nbn:se:oru:diva-99782DOI: 10.1038/s41598-022-14640-wISI: 000814836700008PubMedID: 35732699Scopus ID: 2-s2.0-85132423167OAI: oai:DiVA.org:oru-99782DiVA, id: diva2:1677844
Funder
Region Örebro CountyÖrebro University
Note

Funding agencies:

Swedish government

Reseach committee at Örebro University hospital

Available from: 2022-06-28 Created: 2022-06-28 Last updated: 2024-11-11Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textPubMedScopus

Authority records

Campillay Lagos, AmayaSundqvist, MartinStegger, MarcSöderquist, BoMölling, Paula

Search in DiVA

By author/editor
Campillay Lagos, AmayaSundqvist, MartinStegger, MarcSöderquist, BoMölling, Paula
By organisation
School of Medical SciencesÖrebro University Hospital
In the same journal
Scientific Reports
Biomedical Laboratory Science/Technology

Search outside of DiVA

GoogleGoogle Scholar

doi
pubmed
urn-nbn

Altmetric score

doi
pubmed
urn-nbn
Total: 102 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf