Evidence map›Paper›PMID 38317199›Full record

ArticleGenome medicine2024

Historic methicillin-resistant Staphylococcus aureus: expanding current knowledge using molecular epidemiological characterization of a Swiss legacy collection.

Vanni Benvenga, Aline Cuénod, Srinithi Purushothaman, Gottfried Dasen, Maja Weisser, Stefano Bassetti, Tim Roloff, Martin Siegemund, Ulrich Heininger, Julia Bielicki and 16 more

Abstract read
In one paragraph

Article in Genome medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Transition ofbioRxiv : the preprint server for biology · 2025
    Article
  4. Review
  5. Antimicrobial Resistance Characteristics ofInfection and drug resistance · 2025
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

26 authors.

Vanni BenvengaApplied Microbiology Research, Department of Biomedicine, University of Basel, Basel, Switzerland.ORCID 0009-0008-8698-2805
Aline CuénodApplied Microbiology Research, Department of Biomedicine, University of Basel, Basel, Switzerland.ORCID 0000-0002-8522-6134
Srinithi PurushothamanApplied Microbiology Research, Department of Biomedicine, University of Basel, Basel, Switzerland.ORCID 0000-0002-1503-8920
Gottfried DasenCulture Collection of Switzerland, Wädenswil, Switzerland.
Maja WeisserInfectious Diseases and Hospital Epidemiology, University Hospital Basel, Basel, Switzerland.ORCID 0000-0002-0134-1929
Stefano BassettiInternal Medicine, University Hospital Basel, Basel, Switzerland.ORCID 0000-0003-1729-1425
Tim RoloffApplied Microbiology Research, Department of Biomedicine, University of Basel, Basel, Switzerland.ORCID 0000-0003-3435-4723
Martin SiegemundIntensive Care Medicine, University Hospital Basel, Basel, Switzerland.ORCID 0000-0002-2013-4140
Ulrich HeiningerInfectious Diseases and Hospital Epidemiology, University of Basel Children's Hospital, Basel, Switzerland.ORCID 0000-0001-8901-6778
Julia BielickiInfectious Diseases and Hospital Epidemiology, University of Basel Children's Hospital, Basel, Switzerland.ORCID 0000-0002-3902-5489
Marianne WehrliMicrobiology Department, Hospital of Schaffhausen, Schaffhausen, Switzerland.
Paul FriderichMedicinal microbiology department, Hospital of Lucerne, Lucerne, Switzerland.
Reno FreiClinical Bacteriology and Mycology, University Hospital Basel, Basel, Switzerland.ORCID 0000-0002-2704-8552
Andreas WidmerInfectious Diseases and Hospital Epidemiology, University Hospital Basel, Basel, Switzerland.ORCID 0000-0002-7661-5824
Kathrin HerzogClinical Microbiology, Cantonal Hospital Thurgau, Münsterlingen, Switzerland.ORCID 0000-0001-5652-1137
Hans FankhauserClinical Microbiology, Cantonal Hospital Aarau, Aarau, Switzerland.
Oliver NolteInstitute of Medical Microbiology, University of Zurich, Gloriastrasse 28/30, Zurich, 8006, Switzerland.ORCID 0000-0002-1761-0812
Thomas BodmerLabor Risch, Buchs, Liechtenstein.ORCID 0000-0002-4769-0796
Martin RischLabor Risch, Buchs, Liechtenstein.ORCID 0000-0003-4587-5639
Olivier DubuisClinical Microbiology, Viollier AG, Allschwil, Switzerland.ORCID 0000-0002-8124-3455
Sigrid PranghoferBioanalytica AG, Lucerne, Switzerland.
Romana Calligaris-MaibachClinical Microbiology, Cantonal Hospital Baden, Baden, Switzerland.
Susanne GrafClinical Microbiology, Cantonal Hospital Basellandschaft, Liestal, Switzerland.ORCID 0000-0003-4354-6807
Vincent PerretenInstitute of Veterinary Bacteriology, University of Bern, Bern, Switzerland.ORCID 0000-0001-5722-9445
Helena M B Seth-SmithApplied Microbiology Research, Department of Biomedicine, University of Basel, Basel, Switzerland.ORCID 0000-0002-6082-5114
Adrian EgliApplied Microbiology Research, Department of Biomedicine, University of Basel, Basel, Switzerland. aegli@imm.uzh.ch.ORCID 0000-0002-3564-8603

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFew methicillin-resistant Staphylococcus aureus (MRSA) from the early years of its global emergence have been sequenced. Knowledge about evolutionary factors promoting the success of specific MRSA multi-locus sequence types (MLSTs) remains scarce. We aimed to characterize a legacy MRSA collection isolated from 1965 to 1987 and compare it against publicly available international and local genomes.

methodsWe accessed 451 historic (1965-1987) MRSA isolates stored in the Culture Collection of Switzerland, mostly collected from the Zurich region. We determined phenotypic antimicrobial resistance (AMR) and performed whole genome sequencing (WGS) using Illumina short-read sequencing on all isolates and long-read sequencing on a selection with Oxford Nanopore Technology. For context, we included 103 publicly available international assemblies from 1960 to 1992 and sequenced 1207 modern Swiss MRSA isolates from 2007 to 2022. We analyzed the core genome (cg)MLST and predicted SCCmec cassette types, AMR, and virulence genes.

resultsAmong the 451 historic Swiss MRSA isolates, we found 17 sequence types (STs) of which 11 have been previously described. Two STs were novel combinations of known loci and six isolates carried previously unsubmitted MLST alleles, representing five new STs (ST7843, ST7844, ST7837, ST7839, and ST7842). Most isolates (83% 376/451) represented ST247-MRSA-I isolated in the 1960s, followed by ST7844 (6% 25/451), a novel single locus variant (SLV) of ST239. Analysis by cgMLST indicated that isolates belonging to ST7844-MRSA-III cluster within the diversity of ST239-MRSA-III. Early MRSA were predominantly from clonal complex (CC)8. From 1980 to the end of the twentieth century, we observed that CC22 and CC5 as well as CC8 were present, both locally and internationally.

conclusionsThe combined analysis of 1761 historic and contemporary MRSA isolates across more than 50 years uncovered novel STs and allowed us a glimpse into the lineage flux between Swiss-German and international MRSA across time.

Indexed as

Methicillin-Resistant Staphylococcus aureusStaphylococcal InfectionsAnti-Bacterial AgentsHumansMolecular EpidemiologyMultilocus Sequence TypingSwitzerlandAnti-Bacterial AgentsAntimicrobial resistanceHistoricMLSTMRSAPhylogenySwitzerlandWGS

Identifiers

PMID38317199
PMCPMC10840241

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