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Co-Localization of Sampling and Sequencing for Zoonotic Pathogen Identification in the Field Monitoring Using Mobile Laboratories
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 w...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Editorial Office of CCDCW, Chinese Center for Disease Control and Prevention
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9005490/ https://www.ncbi.nlm.nih.gov/pubmed/35433082 http://dx.doi.org/10.46234/ccdcw2022.059 |
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author | Lu, Xin Peng, Yao Geng, Yuanyuan Zhao, Hongqun Shen, Xiaona Li, Dongmei Li, Zhenpeng Lu, Liang Fan, Mengguang Xu, Wenbin Wang, Jin Xia, Lianxu Zhang, Zhongbing Kan, Biao |
author_facet | Lu, Xin Peng, Yao Geng, Yuanyuan Zhao, Hongqun Shen, Xiaona Li, Dongmei Li, Zhenpeng Lu, Liang Fan, Mengguang Xu, Wenbin Wang, Jin Xia, Lianxu Zhang, Zhongbing Kan, Biao |
author_sort | Lu, Xin |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-9005490 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Editorial Office of CCDCW, Chinese Center for Disease Control and Prevention |
record_format | MEDLINE/PubMed |
spelling | pubmed-90054902022-04-15 Co-Localization of Sampling and Sequencing for Zoonotic Pathogen Identification in the Field Monitoring Using Mobile Laboratories Lu, Xin Peng, Yao Geng, Yuanyuan Zhao, Hongqun Shen, Xiaona Li, Dongmei Li, Zhenpeng Lu, Liang Fan, Mengguang Xu, Wenbin Wang, Jin Xia, Lianxu Zhang, Zhongbing Kan, Biao China CDC Wkly Methods and Applications 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. Editorial Office of CCDCW, Chinese Center for Disease Control and Prevention 2022-03-25 /pmc/articles/PMC9005490/ /pubmed/35433082 http://dx.doi.org/10.46234/ccdcw2022.059 Text en Copyright and License information: Editorial Office of CCDCW, Chinese Center for Disease Control and Prevention 2022 https://creativecommons.org/licenses/by-nc-sa/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/4.0/ (https://creativecommons.org/licenses/by-nc-sa/4.0/) |
spellingShingle | Methods and Applications Lu, Xin Peng, Yao Geng, Yuanyuan Zhao, Hongqun Shen, Xiaona Li, Dongmei Li, Zhenpeng Lu, Liang Fan, Mengguang Xu, Wenbin Wang, Jin Xia, Lianxu Zhang, Zhongbing Kan, Biao Co-Localization of Sampling and Sequencing for Zoonotic Pathogen Identification in the Field Monitoring Using Mobile Laboratories |
title | Co-Localization of Sampling and Sequencing for Zoonotic Pathogen Identification in the Field Monitoring Using Mobile Laboratories |
title_full | Co-Localization of Sampling and Sequencing for Zoonotic Pathogen Identification in the Field Monitoring Using Mobile Laboratories |
title_fullStr | Co-Localization of Sampling and Sequencing for Zoonotic Pathogen Identification in the Field Monitoring Using Mobile Laboratories |
title_full_unstemmed | Co-Localization of Sampling and Sequencing for Zoonotic Pathogen Identification in the Field Monitoring Using Mobile Laboratories |
title_short | Co-Localization of Sampling and Sequencing for Zoonotic Pathogen Identification in the Field Monitoring Using Mobile Laboratories |
title_sort | co-localization of sampling and sequencing for zoonotic pathogen identification in the field monitoring using mobile laboratories |
topic | Methods and Applications |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9005490/ https://www.ncbi.nlm.nih.gov/pubmed/35433082 http://dx.doi.org/10.46234/ccdcw2022.059 |
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