Related Experiment Video
Updated: Sep 26, 2025

Author Spotlight: A Cost-Effective Genomic Workflow for Advancing Rabies Control in Resource-Limited Settings
Published on: August 18, 2023
Co-Localization of Sampling and Sequencing for Zoonotic Pathogen Identification in the Field Monitoring Using Mobile
Xin Lu1, Yao Peng1, Yuanyuan Geng1
1State 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 Yersinia pestis, but the mNGS unexpectedly identified Bartonella 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.
More Related Videos
07:40Field Postmortem Rabies Rapid Immunochromatographic Diagnostic Test for Resource-Limited Settings with Further Molecular Applications
Published on: June 29, 2020
07:13Swabbing the Urban Environment - A Pipeline for Sampling and Detection of SARS-CoV-2 From Environmental Reservoirs
Published on: April 9, 2021