ArticleScientific reports2018
Multiple-Locus Variable Number Tandem Repeat Analysis (MLVA) and Tandem Repeat Sequence Typing (TRST), helpful tools for subtyping Staphylococcus lugdunensis.
Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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17 citing papers in PubMed, 29 citations in OpenAlex.
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- A single-center analysis of clonal transmission of carbapenem-resistant Acinetobacter baumannii among intensive care unit patients during the COVID-19 pandemic.Scientific reports · 2024Article
- Impact of clonal lineages on susceptibility of Staphylococcus lugdunensis to chlorhexidine digluconate and chloride benzalkonium.BMC microbiology · 2023Article
- Improvement and Validation of a Multi-Locus Variable Number of Tandem Repeats Analysis (MLVA8+) forMicroorganisms · 2023Article
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- Molecular typing and antibiotic resistance patterns among clinical isolates ofFrontiers in microbiology · 2022Article
- Phylogenetic Distribution of CRISPR-Cas Systems inMicrobiology spectrum · 2021Article
- Staphylococcus lugdunensis: a Skin Commensal with Invasive Pathogenic Potential.Clinical microbiology reviews · 2021Review
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- Coagulase-Negative Staphylococci Pathogenomics.International journal of molecular sciences · 2019Review
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Authors and funding
7 authors at 3 institutions in 2 countries.
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Abstract
Staphylococcus lugdunensis is an emergent virulent coagulase-negative Staphylococcus that is increasingly responsible for severe infections. In an attempt to generate informative sequence data for subtyping S. lugdunensis, we selected and sequenced seven polymorphic variable number of tandem repeats (VNTRs) to develop two new methods: a classic length-based multiple-locus VNTR analysis (MLVA) method and a tandem repeat sequence typing (TRST) method. We assessed their performances compared to two existing methods, multilocus sequence typing (MLST) and multivirulence-locus sequence typing (MVLST) for 128 isolates from diverse clinical settings and geographical origins. The clustering achieved by the four methods was highly congruent, with MLVA discriminating within clonal complexes as defined by MLST. Indeed, MLVA was highly discriminant compared to MLST and MVLST in terms of number of genotypes as well as diversity indexes. Sequencing of the seven VNTRs showed that they were stable, and analysis of sequence polymorphisms provided superior discriminatory power. The typeability, reproducibility, and epidemiological concordance of these new methods were excellent. Of note, no link between clustering and clinical settings was identified. This study demonstrates that MLVA and TRST provide valuable information for molecular epidemiological study of S. lugdunensis, and represent promising tools to distinguish between strains of homogenous lineages in this clonal species.
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