AI Article Synopsis

  • The study presents a new PCR-based multiplex assay called icosaplex (20-plex) designed to detect 18 enteropathogens and 2 antimicrobial resistance genes with high sensitivity and specificity.
  • It utilizes advanced techniques such as self-avoiding molecular recognition system (SAMRS) and artificially expanded genetic information system (AEGIS) to enhance detection while preventing common issues like primer dimer formation.
  • The assay was tested on a portable sequencing platform, showing strong agreement in results and demonstrating potential for application in wastewater epidemiology, environmental monitoring, and diagnostics for humans and animals.

Article Abstract

Environmental surveillance and clinical diagnostics heavily rely on the polymerase chain reaction (PCR) for target detection. A growing list of microbial threats warrants new PCR-based detection methods that are highly sensitive, specific, and multiplexable. Here, we introduce a PCR-based icosaplex (20-plex) assay for detecting 18 enteropathogen and two antimicrobial resistance genes. This multiplexed PCR assay leverages the self-avoiding molecular recognition system (SAMRS) to avoid primer dimer formation, the artificially expanded genetic information system (AEGIS) for amplification specificity, and next-generation sequencing for amplicon identification. We benchmarked this assay using a low-cost, portable sequencing platform (Oxford Nanopore) on wastewater, soil, and human stool samples. Using parallelized multi-target TaqMan Array Cards (TAC) to benchmark performance of the 20-plex assay, there was 74% agreement on positive calls and 97% agreement on negative calls. Additionally, we show how sequencing information from the 20-plex can be used to further classify allelic variants of genes and distinguish sub-species. The strategy presented offers sensitive, affordable, and robust multiplex detection that can be used to support efforts in wastewater-based epidemiology, environmental monitoring, and human/animal diagnostics.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11419210PMC
http://dx.doi.org/10.1101/2024.09.09.24313328DOI Listing

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