Development and Evaluation of a Next-Generation Sequencing Panel for the Multiple Detection and Identification of Pathogens in Fermented Foods
Dong-Geun Park, Eunsu Ha, Byungcheol Kang, Iseul Choi, Jeong-Eun Kwak, Jin‐Ho Choi, Jeongwoong Park, Woojung Lee, Seung Hwan Kim, Soon Han Kim, Ju-Hoon Lee
Abstract
CFU. To validate this NGS panel analysis, three sets of qPCR analyses were independently performed with the same contaminated food samples, showing the similar specificity and selectivity for detection and identification. While this NGS panel still has some issues for detection and identification of specific foodborne pathogens, it has much more advantages, especially multiple detection and identification in one reaction, and it could be improved by further optimized NGS panel primer sets and even by application of a new real-time NGS sequencing technology. Therefore, this study suggests the efficiency and usability of NGS panel for rapid determination of origin strain in various foodborne outbreaks in one reaction.