Multicenter Preparedness Exercise Enables Rapid Development of Cluster-Specific PCR-Based Screening Assays from Bacterial Genomic Data

多中心准备演习助力快速开发基于细菌基因组数据的集群特异性 PCR 筛选检测方法

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作者:Janina Treffon, Karola Prior, Johannes Dreesman, Richard Egelkamp, Antje Flieger, Barbara Middendorf-Bauchart, Michaela Projahn, Anne Richter, Elisabeth Schuh, Dag Harmsen #, Alexander Mellmann #

Abstract

PCR-based screening assays targeting strain-specific genetic markers allow the timely detection and specific differentiation of bacterial strains. Especially in situations where an infection cluster occurs, fast assay development is crucial for supporting targeted control measures. However, the turnaround times (TATs) for assay setup may be high due to insufficient knowledge about screening assay methods, workflows, and software tools. Here, two blind-coded and quality-controlled ring trials were performed in which five German laboratories established PCR-based screening assays from genomic data that specifically target selected bacterial clusters within two bacterial monospecies sample panels. While the first ring trial was conducted without a time limit to train the participants and assess assay feasibility, in the second ring trial, a challenging time limit of 2 weeks was set to force fast assay development as soon as genomic data were available. During both ring trials, we detected high interlaboratory variability regarding the screening assay methods and targets, the TATs for assay setup, and the number of screening assays. The participants designed between one and four assays per cluster that targeted cluster-specific unique genetic sequences, genes, or single nucleotide variants using conventional PCRs, high-resolution melting assays, or TaqMan PCRs. Assays were established within the 2-week time limit, with TATs ranging from 4 to 13 days. TaqMan probe delivery times strongly influenced TATs. In summary, we demonstrate that a specific exercise improved the preparedness to develop functional cluster-specific PCR-based screening assays from bacterial genomic data. Furthermore, the parallel development of several assays enhances assay availability.

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