Harnessing non-standard nucleic acids for highly sensitive icosaplex (20-plex) detection of microbial threats

Hinako Kawabe, Luran Manfio, Sebastian Magana Pena, Nicolette Zhou, Kevin Bradley, Cen Chen, Chris McLendon, Steven A Benner, Karen Levy, Zunyi Yang, Jorge A Marchand, Erica Fuhrmeister
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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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利用非标准核酸对微生物威胁进行高灵敏度 icosaplex(20-plex)检测
环境监测和临床诊断在很大程度上依赖聚合酶链式反应(PCR)进行目标检测。随着微生物威胁的日益增多,需要新的基于 PCR 的高灵敏度、特异性和可复用的检测方法。在此,我们介绍一种基于 PCR 的 icosaplex(20-plex)检测方法,用于检测 18 种肠道病原体和两种抗菌药耐药性基因。这种多重 PCR 检测利用自避开分子识别系统(SAMRS)来避免引物二聚体的形成,利用人工扩增遗传信息系统(AEGIS)来提高扩增特异性,并利用新一代测序技术来鉴定扩增子。我们使用低成本、便携式测序平台(Oxford Nanopore)对废水、土壤和人类粪便样本进行了测试。使用并行化的多靶点 TaqMan 阵列卡(TAC)对 20 复合物检测的性能进行基准测试,结果显示阳性调用的一致性为 74%,阴性调用的一致性为 97%。此外,我们还展示了如何利用 20-plex 的测序信息来进一步分类基因等位基因变体和区分亚种。所介绍的策略提供了灵敏、经济、稳健的多重检测,可用于支持基于废水的流行病学、环境监测和人类/动物诊断。
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