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

CODJOE, Francis. S., BROWN, Charles A., SMITH, Thomas, MILLER, Keith and DONKOR, Eric S. (2019). Genetic relatedness in carbapenem-resistant isolates from clinical specimens in Ghana using ERIC-PCR technique. PLoS One, 14 (9), e0222168.

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Official URL: https://journals.plos.org/plosone/article?id=10.13...
Open Access URL: https://journals.plos.org/plosone/article/file?id=... (Published version)
Link to published version:: https://doi.org/10.1371/journal.pone.0222168

Abstract

AIM: Enterobacterial repetitive intergenic consensus (ERIC) sequence analysis is a powerful tool for epidemiological analysis of bacterial species. This study aimed to determine the genetic relatedness or variability in carbapenem-resistant isolates by species using this technique. METHODS: A total of 111 non-duplicated carbapenem-resistant (CR) Gram-negative bacilli isolates from a three-year collection period (2012-2014) were investigated by enterobacterial repetitive intergenic consensus-polymerase chain reaction (ERIC-PCR) in four selected hospital laboratories in Ghana. The isolates were also screened for carbapenemase and extended spectrum β-lactamase genes by PCR. RESULTS: A proportion of 23.4% (26/111) of the genomic DNA extracts were carriers of PCR-positive carbapenemase genes, including 14.4% blaNDM-1, 7.2% blaVIM-1 and 1.8% blaOXA-48. The highest prevalence of carbapenemase genes was from non-fermenters, Acinetobacter baumannii and Pseudomonas aeruginosa. For the ESBL genes tested, 96.4% (107/111) of the CR isolates co-harboured both TEM-1 and SHV-1 genes. The ERIC-PCR gel analysis exhibited 1 to 8 bands ranging from 50 to 800 bp. Band patterns of 93 complex dissimilarities were visually distinguished from the 111 CR isolates studied, while the remaining 18 showed band similarities in pairs. CONCLUSION: Overall, ERIC-PCR fingerprints have shown a high level of diversity among the species of Gram-negative bacterial pathogens and specimen collection sites in this study. ERIC-PCR optimisation assays may serve as a suitable genotyping tool for the assessment of genetic diversity or close relatedness of isolates that are found in clinical settings.

Item Type: Article
Uncontrolled Keywords: MD Multidisciplinary; General Science & Technology
Identification Number: https://doi.org/10.1371/journal.pone.0222168
Page Range: e0222168
SWORD Depositor: Symplectic Elements
Depositing User: Symplectic Elements
Date Deposited: 25 Sep 2019 11:53
Last Modified: 25 Sep 2019 12:00
URI: http://shura.shu.ac.uk/id/eprint/25177

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