Genetic relatedness in carbapenem-resistant isolates from clinical specimens in Ghana using ERIC-PCR technique

Codjoe, Francis S.; Brown, Charles A.; Smith, Thomas J.; Miller, Keith; Donkor, Eric S.

doi:10.1371/journal.pone.0222168

Cited by 31 publications

(28 citation statements)

References 31 publications

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“…ERIC-PCR aided the discrimination of resistance patterns among SCCmec types reported in our previous study [ 37 ]. ERIC-PCR is a popular tool for determining the genetic relatedness of different multidrug-resistant pathogenic bacteria from environmental samples, and previous analyses are consistent with our results [ 45 , 46 ]. This conclusion is further supported by the chi-square statistical hypothesis, where the individual significance score was < 0.05 with ERIC-PCR results.…”

Section: Discussionsupporting

confidence: 92%

Molecular and Anti-Microbial Resistance (AMR) Profiling of Methicillin-Resistant Staphylococcus aureus (MRSA) from Hospital and Long-Term Care Facilities (LTCF) Environment

et al. 2021

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To provide evidence of the cross-contamination of emerging pathogenic microbes in a local network between long-term care facilities (LTCFs) and hospitals, this study emphasizes the molecular typing, the prevalence of virulence genes, and the antibiotic resistance pattern of methicillin-resistant Staphylococcus aureus. MRSA isolates were characterized from 246 samples collected from LTCFs, medical tubes of LTCF residents, and hospital environments of two cities, Chiayi and Changhua. Species identification, molecular characterization, and drug resistance analysis were performed. Hospital environments had a higher MRSA detection rate than that of LTCF environments, where moist samples are a hotspot of MRSA habitats, including tube samples from LTCF residents. All MRSA isolates in this study carried the exfoliative toxin eta gene (100%). The majority of MRSA isolates were resistant to erythromycin (76.7%), gentamicin (60%), and ciprofloxacin (55%). The percentage of multidrug-resistant MRSA isolates was approximately 50%. The enterobacterial repetitive intergenic consensus polymerase chain reaction results showed that 18 MRSA isolates belonged to a specific cluster. This implied that genetically similar isolates were spread between hospitals and LTCFs in Changhua city. This study highlights the threat to the health of LTCFs’ residents posed by hospital contact with MRSA.

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Section: Discussionsupporting

confidence: 92%

Molecular and Anti-Microbial Resistance (AMR) Profiling of Methicillin-Resistant Staphylococcus aureus (MRSA) from Hospital and Long-Term Care Facilities (LTCF) Environment

et al. 2021

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“…This approach also provides detailed information for researching and comparing the genomes of a wide variety of bacterial species [ 15 , 16 ]. The ERIC PCR method can be used to study human pathogens to determine their genetic diversity [ 17 ].…”

Section: Introductionmentioning

confidence: 99%

Molecular typing, biofilm production, and detection of carbapenemase genes in multidrug-resistant Acinetobacter baumannii isolated from different infection sites using ERIC-PCR in Hamadan, west of Iran

Hazhirkamal

Zarei

Movahedi

et al. 2021

BMC Pharmacol Toxicol

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Background Acinetobacter baumannii is an opportunistic pathogen that can cause several kinds of nosocomial infections. Increasing antibiotic resistance as well as identifying genetic diversity and factors associated with pathogenicity and prevalence of this bacterium is important. The aim of this study was the investigation of molecular typing, biofilm production, and detection of carbapenemase genes in multidrug-resistant Acinetobacter baumannii isolated from different infection sites using ERIC-PCR in Iran. Methods Forty isolates of A. baumannii were obtained from various wards of the central hospital, in the west of Iran. Phenotypic identification and genetic diversity, biofilm production assay, and detection of Carbapenemase genes carried out. Results Tracheal samples 26 (61.9 %) are the most frequent isolates, and 95 % of isolates were identified as MDR. 32.5 % of all A. baumannii strains were capable to form a strong biofilm. It was founded that antimicrobial resistance patterns had a significant relationship with strong biofilm formation (P = 0.001). Most frequencies of the studied genes were in the order of VIM (81 %), SPM (45.2 %), and IMP (35.7 %) genes. The VIM gene was the most frequent in all isolates which were significant (P = 0.006). 14 different ERIC-types were observed including 7 common types and 7 unique or single types. F type is the largest common type consisting of nine isolates and B, D, and E types contain two isolates separately. Conclusions ERIC-PCR technique was used to genetically classify A. baumannii isolates as one of the most common microorganisms in nosocomial infections.

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“…High resolution melting curve analysis of ERIC-PCR has not been developed and employed for genotyping and other molecular characterization of microbial genomes yet and the present study is the rst one evaluated this method coupled with HRM as a molecular technique for diagnostic purpose [21]. During HRM procedure, saturating dyes bound to DNA then emit uorescence because of dissociation of doublestrand DNA while the temperature is rising gradually then the emission is measured by a highly sensitive uorescence detector.…”

Section: Discussionmentioning

confidence: 99%

RAPD and ERIC-PCR coupled with HRM for species identification of non-dysenteriae Shigella species isolated from clinical specimens; As a potential of alternative method

Pakbin

Basti

Khanjari

et al. 2020

Preprint

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Background: Shigella species cause gastrointestinal disorders and diarrhea in adults and children, also known as fatal and invasive pathogens for infants and neonates. Species identification of Shigella isolates are so prominent for epidemiological studies and implementing infection prevention strategies. At the present study, we developed and evaluated RAPD and ERIC-PCR assays coupled with HRM for differentiation of non-dysenteriae Shigella species as potential alternative methods. isolation of eighteen Shigella strains from faecal specimens collected from children under 2 years old with diarrhea symptom (n=143), species of the isolates were identified by slide agglutination assay as the golden standard method. Species of isolates were identified using developed RAPD-PCR-HRM and ERIC-PCR-HRM assays and differentiation of data sets obtained from difference plots of HRM was implemented by PCA as a dimension reduction method then sensitivity and specificity of the methods were evaluated using ROC curve. Results: Consequently, we found that RAPD-PCR-HRM with sensitivity and specificity of 100 and 85% respectively is significantly more suitable for identification of non-dysenteriae Shigella species. However, sensitivity and specificity of ERIC-PCR-HRM were evaluated 33 and 46% respectively.Conclusion: Regardless of inherent poor reproducibility of DNA fingerprinting based methods, RAPD-PCR-HRM assay can be considered as a potential of alternative method for species identification. Also, HRM technique used in this study is more rapid, inexpensive, and sensitive than gel electrophoresis for characterization of PCR amplicons.

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Genetic relatedness in carbapenem-resistant isolates from clinical specimens in Ghana using ERIC-PCR technique

Cited by 31 publications

References 31 publications

Molecular and Anti-Microbial Resistance (AMR) Profiling of Methicillin-Resistant Staphylococcus aureus (MRSA) from Hospital and Long-Term Care Facilities (LTCF) Environment

Molecular and Anti-Microbial Resistance (AMR) Profiling of Methicillin-Resistant Staphylococcus aureus (MRSA) from Hospital and Long-Term Care Facilities (LTCF) Environment

Molecular typing, biofilm production, and detection of carbapenemase genes in multidrug-resistant Acinetobacter baumannii isolated from different infection sites using ERIC-PCR in Hamadan, west of Iran

RAPD and ERIC-PCR coupled with HRM for species identification of non-dysenteriae Shigella species isolated from clinical specimens; As a potential of alternative method

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