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

Abstract

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, blaCTXM1-like, blaCMY-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.

Keywords

• Antimicrobial resistance genes
• qPCR
• SYBRGreen