AI Article Synopsis
- The study focuses on optimizing five qPCR assays using SYBRGreen chemistry and melting curve analysis to detect antimicrobial resistance genes (ARGs) from environmental samples like soil and manure.
- The assays were validated for their ability to accurately detect and quantify these ARGs in complex samples.
- These protocols serve as effective tools for diagnosing and monitoring antimicrobial resistance in the environment.
Article 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. and ) 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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Source |
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8563462 | PMC |
| http://dx.doi.org/10.1016/j.mex.2021.101488 | DOI Listing |
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