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The Development of an IMP Metallo-β-lactamase Detection Assay Using a Bioinformatic Approach
BACKGROUND: Carbapenem antibiotic resistance in Gram-negative bacteria is becoming increasingly common. One such resistance gene, IMP metallo-β-lactamase, has been found worldwide. With 48 different IMP alleles across many genera of bacteria, no known assay can detect all 48 IMP alleles. We develope...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5631119/ http://dx.doi.org/10.1093/ofid/ofx163.1551 |
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author | Smith, Hayden Hansen, Nancy |
author_facet | Smith, Hayden Hansen, Nancy |
author_sort | Smith, Hayden |
collection | PubMed |
description | BACKGROUND: Carbapenem antibiotic resistance in Gram-negative bacteria is becoming increasingly common. One such resistance gene, IMP metallo-β-lactamase, has been found worldwide. With 48 different IMP alleles across many genera of bacteria, no known assay can detect all 48 IMP alleles. We developed a PCR-based assay to detect IMP genes using a novel bioinformatic approach to design primers that would recognize all gene variants. METHODS: Computer simulation of primers was accomplished by using common PCR primer design heuristics as parameters. Following primer simulation, an all-against-all gene comparison was done to calculate potential primer sets. The minimum number of primer sets required to detect all IMP genes was subsequently found by iterative deduction. The predicted primer sets were tested against 7 IMP-producing bacterial isolates (IMP-1, 4, 7, 8, 14, 18, 27 from Serratia, Enterobacteriaceae, Pseudomonas, and Klebsiella spp.) and one synthesized gene of IMP-35. These isolates were chosen to represent the full genetic spectrum of the IMP family. The remaining 40 genes were evaluated based on gene sequences obtained from GenBank. RESULTS: The in silico analysis showed 6 primer sets were needed to detect all known IMP genes. PCR amplification of template DNA isolated from the 8 strains showed that primer sets 1 and 4 could detect all 8 IMP isolates while the remaining 4 sets (2, 3, 5, 6) had distinct amplification patterns that could be used together to identify a specific IMP gene group. Effectiveness of these primer sets in IMP identification was demonstrated by testing a clinical isolate containing an unidentified carbapenem resistant bacterium. The IMP-27 gene was identified by PCR amplification using the IMP-specific primers designed and confirmed by sequence analysis. CONCLUSION: A bioinformatic approach can be used to create an assay for bacterial resistance. The assay developed with this approach can detect and classify all known IMP metallo-β-lactamase genes in carbapenem resistant Gram-negative bacteria. Such information could aid in guiding treatment and evaluating the epidemiology of IMP-producing bacteria. DISCLOSURES: All authors: No reported disclosures. |
format | Online Article Text |
id | pubmed-5631119 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-56311192017-11-07 The Development of an IMP Metallo-β-lactamase Detection Assay Using a Bioinformatic Approach Smith, Hayden Hansen, Nancy Open Forum Infect Dis Abstracts BACKGROUND: Carbapenem antibiotic resistance in Gram-negative bacteria is becoming increasingly common. One such resistance gene, IMP metallo-β-lactamase, has been found worldwide. With 48 different IMP alleles across many genera of bacteria, no known assay can detect all 48 IMP alleles. We developed a PCR-based assay to detect IMP genes using a novel bioinformatic approach to design primers that would recognize all gene variants. METHODS: Computer simulation of primers was accomplished by using common PCR primer design heuristics as parameters. Following primer simulation, an all-against-all gene comparison was done to calculate potential primer sets. The minimum number of primer sets required to detect all IMP genes was subsequently found by iterative deduction. The predicted primer sets were tested against 7 IMP-producing bacterial isolates (IMP-1, 4, 7, 8, 14, 18, 27 from Serratia, Enterobacteriaceae, Pseudomonas, and Klebsiella spp.) and one synthesized gene of IMP-35. These isolates were chosen to represent the full genetic spectrum of the IMP family. The remaining 40 genes were evaluated based on gene sequences obtained from GenBank. RESULTS: The in silico analysis showed 6 primer sets were needed to detect all known IMP genes. PCR amplification of template DNA isolated from the 8 strains showed that primer sets 1 and 4 could detect all 8 IMP isolates while the remaining 4 sets (2, 3, 5, 6) had distinct amplification patterns that could be used together to identify a specific IMP gene group. Effectiveness of these primer sets in IMP identification was demonstrated by testing a clinical isolate containing an unidentified carbapenem resistant bacterium. The IMP-27 gene was identified by PCR amplification using the IMP-specific primers designed and confirmed by sequence analysis. CONCLUSION: A bioinformatic approach can be used to create an assay for bacterial resistance. The assay developed with this approach can detect and classify all known IMP metallo-β-lactamase genes in carbapenem resistant Gram-negative bacteria. Such information could aid in guiding treatment and evaluating the epidemiology of IMP-producing bacteria. DISCLOSURES: All authors: No reported disclosures. Oxford University Press 2017-10-04 /pmc/articles/PMC5631119/ http://dx.doi.org/10.1093/ofid/ofx163.1551 Text en © The Author 2017. Published by Oxford University Press on behalf of Infectious Diseases Society of America. http://creativecommons.org/licenses/by-nc-nd/4.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial reproduction and distribution of the work, in any medium, provided the original work is not altered or transformed in any way, and that the work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Abstracts Smith, Hayden Hansen, Nancy The Development of an IMP Metallo-β-lactamase Detection Assay Using a Bioinformatic Approach |
title | The Development of an IMP Metallo-β-lactamase Detection Assay Using a Bioinformatic Approach |
title_full | The Development of an IMP Metallo-β-lactamase Detection Assay Using a Bioinformatic Approach |
title_fullStr | The Development of an IMP Metallo-β-lactamase Detection Assay Using a Bioinformatic Approach |
title_full_unstemmed | The Development of an IMP Metallo-β-lactamase Detection Assay Using a Bioinformatic Approach |
title_short | The Development of an IMP Metallo-β-lactamase Detection Assay Using a Bioinformatic Approach |
title_sort | development of an imp metallo-β-lactamase detection assay using a bioinformatic approach |
topic | Abstracts |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5631119/ http://dx.doi.org/10.1093/ofid/ofx163.1551 |
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