scholarly journals Biofilm Morphotypes and Population Structure among Staphylococcus epidermidis from Commensal and Clinical Samples

PLoS ONE ◽  
2016 ◽  
Vol 11 (3) ◽  
pp. e0151240 ◽  
Author(s):  
Llinos G. Harris ◽  
Susan Murray ◽  
Ben Pascoe ◽  
James Bray ◽  
Guillaume Meric ◽  
...  
PLoS ONE ◽  
2016 ◽  
Vol 11 (4) ◽  
pp. e0154510 ◽  
Author(s):  
Llinos G. Harris ◽  
Susan Murray ◽  
Ben Pascoe ◽  
James Bray ◽  
Guillaume Meric ◽  
...  

AMB Express ◽  
2015 ◽  
Vol 5 (1) ◽  
Author(s):  
Seyed Mostafa Solati ◽  
Elahe Tajbakhsh ◽  
Faham Khamesipour ◽  
Harish C Gugnani

Author(s):  
Emeli Månsson ◽  
Thor Bech Johannesen ◽  
Åsa Nilsdotter-Augustinsson ◽  
Bo Söderquist ◽  
Marc Stegger

There is increased awareness of the worldwide spread of specific epidemic multidrug-resistant (MDR) lineages of the human commensal Staphylococcus epidermidis . Here, using bioinformatic analyses accounting for population structure, we determined genomic traits (genes, SNPs and k-mers) that distinguish S. epidermidis causing prosthetic-joint infections (PJIs) from commensal isolates from nares, by analysing whole-genome sequencing data from S. epidermidis from PJIs prospectively collected over 10 years in Sweden, and contemporary S. epidermidis from the nares of patients scheduled for arthroplasty surgery. Previously suggested virulence determinants and the presence of genes and mutations linked to antimicrobial resistance (AMR) were also investigated. Publicly available S. epidermidis sequences were used for international extrapolation and validation of findings. Our data show that S. epidermidis causing PJIs differed from nasal isolates not by virulence but by traits associated with resistance to compounds used in prevention of PJIs: β-lactams, aminoglycosides and chlorhexidine. Almost a quarter of the PJI isolates did not belong to any of the previously described major nosocomial lineages, but the AMR-related traits were also over-represented in these isolates, as well as in international S. epidermidis isolates originating from PJIs. Genes previously associated with virulence in S. epidermidis were over-represented in individual lineages, but failed to reach statistical significance when adjusted for population structure. Our findings suggest that the current strategies for prevention of PJIs select for nosocomial MDR S. epidermidis lineages that have arisen from horizontal gene transfer of AMR-related traits into multiple genetic backgrounds.


2016 ◽  
Vol 54 (7) ◽  
pp. 1711-1719 ◽  
Author(s):  
Isaiah Tolo ◽  
Jonathan C. Thomas ◽  
Rebecca S. B. Fischer ◽  
Eric L. Brown ◽  
Barry M. Gray ◽  
...  

Staphylococcus epidermidisis a ubiquitous colonizer of human skin and a common cause of medical device-associated infections. The extent to which the population genetic structure ofS. epidermidisdistinguishes commensal from pathogenic isolates is unclear. Previously, Bayesian clustering of 437 multilocus sequence types (STs) in the international database revealed a population structure of six genetic clusters (GCs) that may reflect the species' ecology. Here, we first verified the presence of six GCs, including two (GC3 and GC5) with significant admixture, in an updated database of 578 STs. Next, a single nucleotide polymorphism (SNP) assay was developed that accurately assigned 545 (94%) of 578 STs to GCs. Finally, the hypothesis that GCs could distinguish isolation sources was tested by SNP typing and GC assignment of 154 isolates from hospital patients with bacteremia and those with blood culture contaminants and from nonhospital carriage. GC5 was isolated almost exclusively from hospital sources. GC1 and GC6 were isolated from all sources but were overrepresented in isolates from nonhospital and infection sources, respectively. GC2, GC3, and GC4 were relatively rare in this collection. No association was detected betweenfdh-positive isolates (GC2 and GC4) and nonhospital sources. Using a machine learning algorithm, GCs predicted hospital and nonhospital sources with 80% accuracy and predicted infection and contaminant sources with 45% accuracy, which was comparable to the results seen with a combination of five genetic markers (icaA, IS256,sesD[bhp],mecA, and arginine catabolic mobile element [ACME]). Thus, analysis of population structure with subgenomic data shows the distinction of hospital and nonhospital sources and the near-inseparability of sources within a hospital.


2015 ◽  
Vol 178 (1-2) ◽  
pp. 105-113 ◽  
Author(s):  
M. Angeles Argudín ◽  
Wannes Vanderhaeghen ◽  
Stien Vandendriessche ◽  
Ilse Vandecandelaere ◽  
François-Xavier André ◽  
...  

2020 ◽  
Author(s):  
Amalie Katrine Rendboe ◽  
Thor Bech Johannesen ◽  
Anna Cäcilia Ingham ◽  
Emeli Månsson ◽  
Søren Iversen ◽  
...  

Abstract BackgroundAlthough generally known as a human commensal, Staphylococcus epidermidis is also an opportunistic pathogen that can cause nosocomial infections related to foreign body materials and immunicompromized patients. Infections are often caused by multidrug resistant (MDR) lineages that are difficult and costly to treat, and can have a major adverse impact on patients’ quality of life. Heterogeneity is a common phenomenon in both carriage and infection, but present methodology for detection of this is laborious or expensive. In this study, we present a culture-independent method, labelled Epidome, based on an amplicon sequencing-approach to deliver information beyond species level on primary samples and to elucidate clonality, population structure and temporal stability or niche selection of S. epidermidis communities. MethodsBased on an assessment of >800 genes from the S. epidermidis core genome, we identified genes with variable regions, which in combination facilitated the differentiation of phylogenetic clusters observed in silico, and allowed classification down to lineage level. A duplex PCR, combined with an amplicon sequencing protocol, and a downstream analysis pipeline were designed to provide subspecies information from primary samples. Additionally, a probe-based qPCR was designed to provide valuable absolute abundance quantification of S. epidermidis. ResultsA combined laboratory and bioinformatic approach was successfully designed and validated on isolates representing skin commensals and on genomic mock communities to validate primer specificity and reproducibility using technical replicates. The method was furthermore applied to a sample set of primary skin and nasal samples, revealing a high degree of heterogeneity in the S. epidermidis population at both sampling sites with resolution down to distinct lineages. Additionally, the qPCR, with a detection limit of <10 copies/µL, showed a high degree of variation in absolute abundance of S. epidermidis.ConclusionsThe Epidome method is designed for use on primary samples to obtain information on S. epidermidis abundance and diversity beyond species-level to answer important questions regarding the emergence and dissemination of nosocomial lineages, investigating clonality of S. epidermidis communities, population dynamics, and niche selection. Our targeted-sequencing method allows rapid differentiation and identification of clinically important nosocomial lineages in primary low-biomass samples such as skin samples.


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