Co-Localization of Sampling and Sequencing for Zoonotic Pathogen Identification in the Field Monitoring Using Mobile Laboratories.
Xin Lu, Yao Peng, Yuanyuan Geng, Hongqun Zhao, Xiaona Shen, Dongmei Li, Zhenpeng Li, Liang Lu, Mengguang Fan, Wenbin Xu, Jin Wang, Lianxu Xia, Zhongbing Zhang, Biao Kan
Author Information
Xin Lu: State Key Laboratory of Infectious Disease Prevention and Control, Beijing, China; National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Yao Peng: State Key Laboratory of Infectious Disease Prevention and Control, Beijing, China; National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Yuanyuan Geng: State Key Laboratory of Infectious Disease Prevention and Control, Beijing, China; National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Hongqun Zhao: State Key Laboratory of Infectious Disease Prevention and Control, Beijing, China; National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Xiaona Shen: State Key Laboratory of Infectious Disease Prevention and Control, Beijing, China; National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Dongmei Li: State Key Laboratory of Infectious Disease Prevention and Control, Beijing, China; National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Zhenpeng Li: State Key Laboratory of Infectious Disease Prevention and Control, Beijing, China; National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Liang Lu: State Key Laboratory of Infectious Disease Prevention and Control, Beijing, China; National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Mengguang Fan: General Center for Disease Control and Prevention of Inner Mongolia Autonomous Region, Huhhot City, Inner Mongolia Autonomous Region, China.
Wenbin Xu: Siziwang Banner Center for Disease Control and Prevention, Huhhot City, Inner Mongolia Autonomous Region, China.
Jin Wang: Siziwang Banner Center for Disease Control and Prevention, Huhhot City, Inner Mongolia Autonomous Region, China.
Lianxu Xia: State Key Laboratory of Infectious Disease Prevention and Control, Beijing, China; National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Zhongbing Zhang: General Center for Disease Control and Prevention of Inner Mongolia Autonomous Region, Huhhot City, Inner Mongolia Autonomous Region, China.
Biao Kan: State Key Laboratory of Infectious Disease Prevention and Control, Beijing, China; National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Introduction: Accurate etiological detection is needed to evaluate the risk of zoonotic diseases. Metagenomic next-generation sequencing (mNGS) can be used to monitor pathogens in animal species and identify potential zoonotic threats. The current sampling model for zoonotic pathogen monitoring in wild animals requires samples to be transferred from the field to a laboratory for further detection. Methods: We constructed a zoonotic pathogen survey model using a set of mobile laboratories. Results: The monitoring in this study was preplanned to detect , but the mNGS unexpectedly identified spp in the rodent samples, thus exposing the threat of bartonellosis to humans in this region. The co-localization of sampling and sequencing (CLOSS) model we tested required no long-distance transferring of samples and expands the regional coverage of zoonotic surveys by using a mobile laboratory. Discussion: Using this mNGS technique will enable detection of more zoonotic pathogens beyond the preplanned monitoring targets. This may increase the surveillance efficiency compared with that of the previous workflow and expand the application of the mobile laboratories for infectious diseases identification and surveillance in the field.
