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Article Abstract
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.
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9005490 | PMC |
| http://dx.doi.org/10.46234/ccdcw2022.059 | DOI Listing |
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