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Morris R, Wang S. Building a pathway to One Health surveillance and response in Asian countries. SCIENCE IN ONE HEALTH 2024; 3:100067. [PMID: 39077383 PMCID: PMC11262298 DOI: 10.1016/j.soh.2024.100067] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/02/2023] [Accepted: 03/27/2024] [Indexed: 07/31/2024]
Abstract
To detect and respond to emerging diseases more effectively, an integrated surveillance strategy needs to be applied to both human and animal health. Current programs in Asian countries operate separately for the two sectors and are principally concerned with detection of events that represent a short-term disease threat. It is not realistic to either invest only in efforts to detect emerging diseases, or to rely solely on event-based surveillance. A comprehensive strategy is needed, concurrently investigating and managing endemic zoonoses, studying evolving diseases which change their character and importance due to influences such as demographic and climatic change, and enhancing understanding of factors which are likely to influence the emergence of new pathogens. This requires utilisation of additional investigation tools that have become available in recent years but are not yet being used to full effect. As yet there is no fully formed blueprint that can be applied in Asian countries. Hence a three-step pathway is proposed to move towards the goal of comprehensive One Health disease surveillance and response.
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Affiliation(s)
- Roger Morris
- Massey University EpiCentre and EpiSoft International Ltd, 76/100 Titoki Street, Masterton 5810, New Zealand
| | - Shiyong Wang
- Health, Nutrition and Population, World Bank Group, Washington, DC, USA
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Ramesh A, Bailey ES, Ahyong V, Langelier C, Phelps M, Neff N, Sit R, Tato C, DeRisi JL, Greer AG, Gray GC. Metagenomic characterization of swine slurry in a North American swine farm operation. Sci Rep 2021; 11:16994. [PMID: 34417469 PMCID: PMC8379149 DOI: 10.1038/s41598-021-95804-y] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2021] [Accepted: 07/30/2021] [Indexed: 12/21/2022] Open
Abstract
Modern day large-scale, high-density farming environments are inherently susceptible to viral outbreaks, inadvertently creating conditions that favor increased pathogen transmission and potential zoonotic spread. Metagenomic sequencing has proven to be a useful tool for characterizing the microbial burden in both people, livestock, and environmental samples. International efforts have been successful at characterizing pathogens in commercial farming environments, especially swine farms, however it is unclear whether the full extent of microbial agents have been adequately captured or is representative of farms elsewhere. To augment international efforts we performed metagenomic next-generation sequencing on nine swine slurry and three environmental samples from a United States of America (U.S.A.) farm operation, characterized the microbial composition of slurry, and identified novel viruses. We assembled a remarkable total of 1792 viral genomes, of which 554 were novel/divergent. We assembled 1637 Picobirnavirus genome segments, of which 538 are novel. In addition, we discovered 10 new viruses belonging to a novel taxon: porcine Statoviruses; which have only been previously reported in human, macaques, mouse, and cows. We assembled 3 divergent Posaviruses and 3 swine Picornaviruses. In addition to viruses described, we found other eukaryotic genera such as Entamoeba and Blastocystis, and bacterial genera such as Listeria, Treponema, Peptoclostridium and Bordetella in the slurry. Of these, two species Entamoeba histolytica and Listeria monocytogenes known to cause human disease were detected. Further, antimicrobial resistance genes such as tetracycline and MLS (macrolide, lincosamide, streptogramin) were also identified. Metagenomic surveillance in swine fecal slurry has great potential for novel and antimicrobial resistant pathogen detection.
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Affiliation(s)
- Akshaya Ramesh
- Weill Institute for Neurosciences, University of California, San Francisco, CA, 94158, USA.,Department of Neurology, University of California, San Francisco, CA, 94158, USA.,Julia Jones Matthews Department of Public Health, Texas Tech University Health Sciences Center, Abilene, TX, USA
| | - Emily S Bailey
- Division of Infectious Diseases, Duke University School of Medicine, Durham, NC, USA. .,Julia Jones Matthews Department of Public Health, Texas Tech University Health Sciences Center, Abilene, TX, USA.
| | - Vida Ahyong
- Chan Zuckerberg Biohub, San Francisco, CA, 94158, USA
| | - Charles Langelier
- Chan Zuckerberg Biohub, San Francisco, CA, 94158, USA.,Division of Infectious Diseases, University of California San Francisco, San Francisco, CA, 94158, USA
| | - Maira Phelps
- Chan Zuckerberg Biohub, San Francisco, CA, 94158, USA
| | - Norma Neff
- Chan Zuckerberg Biohub, San Francisco, CA, 94158, USA
| | - Rene Sit
- Chan Zuckerberg Biohub, San Francisco, CA, 94158, USA
| | - Cristina Tato
- Chan Zuckerberg Biohub, San Francisco, CA, 94158, USA
| | - Joseph L DeRisi
- Chan Zuckerberg Biohub, San Francisco, CA, 94158, USA.,Department of Biochemistry and Biophysics, University of California, San Francisco, CA, 94158, USA
| | - Annette G Greer
- Department of Bioethics and Interdisciplinary Studies, Brody School of Medicine, North Carolina Agromedicine Institute, East Carolina University, Greenville, NC, USA
| | - Gregory C Gray
- Division of Infectious Diseases, Duke University School of Medicine, Durham, NC, USA.,Duke Global Health Institute, Duke University, Durham, NC, USA.,Emerging Infectious Disease Program, Duke-NUS Medical School, Singapore, Singapore.,Global Health Center, Duke Kunshan University, Kunshan, China
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Gray GC, Robie ER, Studstill CJ, Nunn CL. Mitigating Future Respiratory Virus Pandemics: New Threats and Approaches to Consider. Viruses 2021; 13:637. [PMID: 33917745 PMCID: PMC8068197 DOI: 10.3390/v13040637] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2021] [Revised: 04/01/2021] [Accepted: 04/06/2021] [Indexed: 12/12/2022] Open
Abstract
Despite many recent efforts to predict and control emerging infectious disease threats to humans, we failed to anticipate the zoonotic viruses which led to pandemics in 2009 and 2020. The morbidity, mortality, and economic costs of these pandemics have been staggering. We desperately need a more targeted, cost-efficient, and sustainable strategy to detect and mitigate future zoonotic respiratory virus threats. Evidence suggests that the transition from an animal virus to a human pathogen is incremental and requires a considerable number of spillover events and considerable time before a pandemic variant emerges. This evolutionary view argues for the refocusing of public health resources on novel respiratory virus surveillance at human-animal interfaces in geographical hotspots for emerging infectious diseases. Where human-animal interface surveillance is not possible, a secondary high-yield, cost-efficient strategy is to conduct novel respiratory virus surveillance among pneumonia patients in these same hotspots. When novel pathogens are discovered, they must be quickly assessed for their human risk and, if indicated, mitigation strategies initiated. In this review, we discuss the most common respiratory virus threats, current efforts at early emerging pathogen detection, and propose and defend new molecular pathogen discovery strategies with the goal of preempting future pandemics.
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Affiliation(s)
- Gregory C. Gray
- Division of Infectious Diseases, Duke University School of Medicine, Durham, NC 27710, USA; (E.R.R.); (C.J.S.)
- Duke Global Health Institute, Duke University, Durham, NC 27710, USA;
- Emerging Infectious Disease Program, Duke-NUS Medical School, Singapore 169856, Singapore
- Global Health Center, Duke Kunshan University, Kunshan 215316, China
| | - Emily R. Robie
- Division of Infectious Diseases, Duke University School of Medicine, Durham, NC 27710, USA; (E.R.R.); (C.J.S.)
- Duke Global Health Institute, Duke University, Durham, NC 27710, USA;
| | - Caleb J. Studstill
- Division of Infectious Diseases, Duke University School of Medicine, Durham, NC 27710, USA; (E.R.R.); (C.J.S.)
- Duke Global Health Institute, Duke University, Durham, NC 27710, USA;
| | - Charles L. Nunn
- Duke Global Health Institute, Duke University, Durham, NC 27710, USA;
- Department of Evolutionary Anthropology, Duke University, Durham, NC 27708, USA
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A RT-PCR assay for the detection of coronaviruses from four genera. J Clin Virol 2020; 128:104391. [PMID: 32403008 PMCID: PMC7192118 DOI: 10.1016/j.jcv.2020.104391] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2020] [Revised: 04/20/2020] [Accepted: 04/26/2020] [Indexed: 01/13/2023]
Abstract
We developed a diagnostic to detect all CoVs from the four main genera. This assay can detect and identify all previously recognized CoVs and any future related CoVs that may emerge. The assay was highly specific and sensitive in detecting CoVs, and performed well on different sample types.
Background During the past two decades, three novel coronaviruses (CoVs) have emerged to cause international human epidemics with severe morbidity. CoVs have also emerged to cause severe epidemics in animals. A better understanding of the natural hosts and genetic diversity of CoVs are needed to help mitigate these threats. Objective To design and evaluate a molecular diagnostic tool for detection and identification of all currently recognized and potentially future emergent CoVs from the Orthocoronavirinae subfamily. Study design and Results We designed a semi-nested, reverse transcription RT-PCR assay based upon 38 published genome sequences of human and animal CoVs. We evaluated this assay with 14 human and animal CoVs and 11 other non-CoV respiratory viruses. Through sequencing the assay's target amplicon, the assay correctly identified each of the CoVs; no cross-reactivity with 11 common respiratory viruses was observed. The limits of detection ranged from 4 to 4 × 102 copies/reaction, depending on the CoV species tested. To assess the assay's clinical performance, we tested a large panel of previously studied specimens: 192 human respiratory specimens from pneumonia patients, 5 clinical specimens from COVID-19 patients, 81 poultry oral secretion specimens, 109 pig slurry specimens, and 31 aerosol samples from a live bird market. The amplicons of all RT-PCR-positive samples were confirmed by Sanger sequencing. Our assay performed well with all tested specimens across all sample types. Conclusions This assay can be used for detection and identification of all previously recognized CoVs, including SARS-CoV-2, and potentially any emergent CoVs in the Orthocoronavirinae subfamily.
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