Optimization of five qPCR protocols toward the detection and the quantification of antimicrobial resistance genes in environmental samples

Here, we describe the optimization and validation of five quantitative PCR (qPCR) assays by employing the SYBRGreen chemistry paired with melting curve analysis to detect and quantify clinically relevant antimicrobial resistance genes (ARGs) (i.e. ermB, bla(CTXM1-like), bla(CMY-2), qnrA and qnrS) fr...

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Detalles Bibliográficos
Autores principales: Tolosi, Roberta, Carraro, Lisa, Laconi, Andrea, Piccirillo, Alessandra
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Protocol Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8563462/
https://www.ncbi.nlm.nih.gov/pubmed/34754761
http://dx.doi.org/10.1016/j.mex.2021.101488
Descripción
Sumario:Here, we describe the optimization and validation of five quantitative PCR (qPCR) assays by employing the SYBRGreen chemistry paired with melting curve analysis to detect and quantify clinically relevant antimicrobial resistance genes (ARGs) (i.e. ermB, bla(CTXM1-like), bla(CMY-2), qnrA and qnrS) from environmental samples (i.e. soil and manure). These five protocols accurately detected and quantified the aforementioned ARGs in complex environmental matrices and represent useful tools for both diagnostic and monitoring activities of resistant bacteria and ARGs into the environment.

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