Comprehensive Assessment of Subtyping Methods for Improved Surveillance of Foodborne Salmonella
Hang Pan, Chenghao Jia, Narayan Paudyal, Fang Li, Junyong Mao, Xi Liu, Chenghang Dong, Kun Zhou, Xiayi Liao, Jiansen Gong, Weihuan Fang, Xiaoliang Li, Corinna Kehrenberg, Min Yue
Abstract
In public health field, high-resolution and efficient typing of the bacterial pathogen is essential, considering source-tracking and risk assessment are fundamental issues. Currently, there are no recommendations for applying molecular characterization methods for Salmonella along the food chain, and a systematic in-field investigation comparing subtyping methods in the context of routine surveillance was partially addressed. Using 1,064 samples along a poultry production chain with a considerable level of Salmonella contamination, we collected representative isolates for genome sequencing and comparative analysis by using 12 typing techniques, particularly with whole-genome sequence (WGS) based methods and a recently invented CRISPR multi-virulence locus sequence typing (CRISPR-MVLST) method. CRISPR-MVLST is identified as a tool with higher discriminatory power compared with medium-resolution WGS-based typing methods, comparable ease of use and proven ability of tracking Salmonella isolates. Besides, we also offer recommendations for rational choice of subtyping methods to assist in better implementation schemes.