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. 2021 Jun 25;21(1):192.
doi: 10.1186/s12866-021-02257-4.

Regulation of virulence and β-lactamase gene expression in Staphylococcus aureus isolates: cooperation of two-component systems in bloodstream superbugs

Affiliations

Regulation of virulence and β-lactamase gene expression in Staphylococcus aureus isolates: cooperation of two-component systems in bloodstream superbugs

Sanaz Dehbashi et al. BMC Microbiol. .

Abstract

Background: Methicillin-resistant Staphylococcus aureus (MRSA)-bloodstream infections (BSI) are predominantly seen in the hospital or healthcare-associated host. Nevertheless, the interactions of virulence factor (VFs) regulators and β-lactam resistance in MRSA-BSI are unclear. This study aims to characterize the molecular relationship of two-component systems of VFs and the expression of the β-lactamase gene in MRSA-BSI isolates. In this study, 639 samples were collected from BSI and identified by phenotypic methods. We performed extensive molecular characterization, including SCCmec type, agr type, VFs gene profiles determinations, and MLST on isolates. Also, a quantitative real-time PCR (q-RT PCR) assay was developed for identifying the gene expressions.

Results: Ninety-one (91) S. aureus and 61 MRSA (67.0%) strains were detected in BSI samples. The presence of VFs and SCCmec genes in MRSA isolates were as follows: tst (31.4%), etA (18.0%), etB (8.19%), lukS-PVL (31.4%), lukF-PV (18.0%), lukE-lukD (16.3%), edin (3.2%), hla (16.3%), hlb (18.0%), hld (14.7%), hlg (22.9%), SCCmecI (16.3%), SCCmecII (22.9%), SCCmecIII (36.0%), SCCmecIV (21.3%), and SCCmecV (16.3%). Quantitative real-time PCR showed overexpression of mecRI and mecI in the toxigenic isolates. Moreover, RNAIII and sarA genes were the highest expressions of MRSA strains. The multi-locus sequence typing data confirmed a high prevalence of CC5, CC8, and CC30. However, ST30, ST22, and ST5 were the most prevalent in the resistant and toxigenic strains.

Conclusion: We demonstrated that although regulation of β-lactamase gene expressions is a significant contributor to resistance development, two-component systems also influence antibiotic resistance development in MRSA-BSI isolates. This indicates that resistant strains might have pathogenic potential. We also confirmed that some MLST types are more successful colonizers with a potential for MRSA-BSI.

Keywords: Antibiotic resistance; Methicillin-resistant Staphylococcus aureus; Virulence factors; β-Lactamase.

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Conflict of interest statement

The authors declare that they have no competing interests.

Figures

Fig. 1
Fig. 1
Differential expression of virulence and β-lactamase regulatory genes in BSI isolates of S. aureus. a: Heatmap of virulence and β-lactamase regulatory genes expression patterns in all 91 S. aureus. Red represents up-regulation and blue down-regulation relative to control. b: The expression levels of β-lactamase regulatory genes in MDR, XDR, and PDR strains, discriminated based on p-value and log2 (fold-change) at an α level of 0.05. c: The expression levels of β-lactamase regulatory genes in hemolysin producer, toxin producer, and non-virulent strains, discriminated based on p-value and log2 (fold-change) at an α level of 0.05. d The expression levels of virulence regulatory genes in MDR, XDR, and PDR strains, discriminated based on p-value and log2 (fold-change) at an α level of 0.05. e: The expression levels of virulence regulatory genes in hemolysin producer, toxin producer, and non-virulent strains, discriminated based on p-value and log2 (fold-change) at an α level of 0.05. Error bars standard errors: 0.05. Student’s t-test and Tow-Way ANOVA test were performed for testing differences between groups. *: p < 0.05, **: p < 0.001, ***: p < 0.0001
Fig. 2
Fig. 2
The multi-locus sequence typing (MLST) phylogenetic tree, unrooted, maximum likelihood, and circular-dendrogram clustering of S. aureus based on sequence type (ST) profiles. The circular-dendrogram was estimated by neighbor-joining using the k2 + G model, with MEGA version 6 and Figtree version 1.4.4

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References

    1. Tahmasebi H, Dehbashi S, Arabestani MR. Co-harboring of mcr-1 and β-lactamase genes in Pseudomonas aeruginosa by high-resolution melting curve analysis (HRMA): Molecular typing of superbug strains in bloodstream infections (BSI) Infect Genet Evol. 2020;1:104518. doi: 10.1016/j.meegid.2020.104518. - DOI - PubMed
    1. Abraham L, Bamberger DM. Staphylococcus aureus bacteremia: contemporary management. Mo Med. 2020;117(4):341–345. - PMC - PubMed
    1. Park K-H, Greenwood-Quaintance KE, Uhl JR, Cunningham SA, Chia N, Jeraldo PR, Sampathkumar P, Nelson H, Patel R. Molecular epidemiology of Staphylococcus aureus bacteremia in a single large Minnesota medical center in 2015 as assessed using MLST, core genome MLST and spa typing. PLoS One. 2017;12(6):e0179003. doi: 10.1371/journal.pone.0179003. - DOI - PMC - PubMed
    1. Maeda M, Shoji H, Shirakura T, Takuma T, Ugajin K, Fukuchi K, Niki Y, Ishino K. Analysis of staphylococcal toxins and clinical outcomes of methicillin-resistant Staphylococcus aureus bacteremia. Biol Pharm Bull. 2016;39(7):1195–1200. doi: 10.1248/bpb.b16-00255. - DOI - PubMed
    1. Gu F, He W, Xiao S, Wang S, Li X, Zeng Q, Ni Y, Han L. Antimicrobial resistance and molecular epidemiology of Staphylococcus aureus causing bloodstream infections at Ruijin Hospital in Shanghai from 2013 to 2018. Sci Rep. 2020;10(1):6019. doi: 10.1038/s41598-020-63248-5. - DOI - PMC - PubMed

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