Predicting potential SARS-CoV-2 spillover and spillback in animals
Background: The COVID-19 pandemic is spreading rapidly around the world, causing countries to impose lockdowns and efforts to develop vaccines on a global scale. However, human-to-animal and animal-to-human transmission cannot be ignored, as severe acute respiratory syndrome coronavirus 2 (SARS-CoV-...
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sg-ntu-dr.10356-1757472024-05-11T16:48:56Z Predicting potential SARS-CoV-2 spillover and spillback in animals Tan, Zi Hian Yong, Kian Yan Shu, Jian Jun School of Mechanical and Aerospace Engineering Medicine, Health and Life Sciences SARS-CoV-2 Spillover and spillback Background: The COVID-19 pandemic is spreading rapidly around the world, causing countries to impose lockdowns and efforts to develop vaccines on a global scale. However, human-to-animal and animal-to-human transmission cannot be ignored, as severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) can spread rapidly in farmed and wild animals. This could create a worrying cycle of SARS-CoV-2 spillover from humans to animals and spillback of new strains back into humans, rendering vaccines ineffective. Method: This study provides a key indicator of animals that may be potential susceptible hosts for SARS-CoV-2 and coronavirus infections by analysing the phylogenetic distance between host angiotensin-converting enzyme 2 and the coronavirus spike protein. Crucially, our analysis identifies animals that are at elevated risk from a spillover and spillback incident. Results: One group of animals has been identified as potentially susceptible to SARS-CoV-2 by harbouring a parasitic coronavirus spike protein similar to the SARS-CoV-2 spike protein. These animals may serve as amplification hosts in spillover events from zoonotic reservoirs. This group consists of a mixture of animals infected internally and naturally: minks, dogs, cats, tigers. Additionally, no internal or natural infections have been found in masked palm civet. Conclusion: Tracing interspecies transmission in multi-host environments based solely on in vitro and in vivo examinations of animal susceptibility or serology is a time-consuming task. This approach allows rapid identification of high-risk animals to prioritize research and assessment of the risk of zoonotic disease transmission in the environment. It is a tool to rapidly identify zoonotic species that may cause outbreaks or participate in expansion cycles of coexistence with their hosts. This prevents the spread of coronavirus infections between species, preventing spillover and spillback incidents from occurring. Published version 2024-05-06T01:47:56Z 2024-05-06T01:47:56Z 2024 Journal Article Tan, Z. H., Yong, K. Y. & Shu, J. J. (2024). Predicting potential SARS-CoV-2 spillover and spillback in animals. Journal of Microbiology, Immunology, and Infection, 57(2), 225-237. https://dx.doi.org/10.1016/j.jmii.2024.01.002 1684-1182 https://hdl.handle.net/10356/175747 10.1016/j.jmii.2024.01.002 38262772 2-s2.0-85183102313 2 57 225 237 en Journal of Microbiology, Immunology, and Infection © 2024, Taiwan Society of Microbiology. Published by Elsevier Taiwan LLC. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). application/pdf |
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Medicine, Health and Life Sciences SARS-CoV-2 Spillover and spillback Tan, Zi Hian Yong, Kian Yan Shu, Jian Jun Predicting potential SARS-CoV-2 spillover and spillback in animals |
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Background: The COVID-19 pandemic is spreading rapidly around the world, causing countries to impose lockdowns and efforts to develop vaccines on a global scale. However, human-to-animal and animal-to-human transmission cannot be ignored, as severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) can spread rapidly in farmed and wild animals. This could create a worrying cycle of SARS-CoV-2 spillover from humans to animals and spillback of new strains back into humans, rendering vaccines ineffective. Method: This study provides a key indicator of animals that may be potential susceptible hosts for SARS-CoV-2 and coronavirus infections by analysing the phylogenetic distance between host angiotensin-converting enzyme 2 and the coronavirus spike protein. Crucially, our analysis identifies animals that are at elevated risk from a spillover and spillback incident. Results: One group of animals has been identified as potentially susceptible to SARS-CoV-2 by harbouring a parasitic coronavirus spike protein similar to the SARS-CoV-2 spike protein. These animals may serve as amplification hosts in spillover events from zoonotic reservoirs. This group consists of a mixture of animals infected internally and naturally: minks, dogs, cats, tigers. Additionally, no internal or natural infections have been found in masked palm civet. Conclusion: Tracing interspecies transmission in multi-host environments based solely on in vitro and in vivo examinations of animal susceptibility or serology is a time-consuming task. This approach allows rapid identification of high-risk animals to prioritize research and assessment of the risk of zoonotic disease transmission in the environment. It is a tool to rapidly identify zoonotic species that may cause outbreaks or participate in expansion cycles of coexistence with their hosts. This prevents the spread of coronavirus infections between species, preventing spillover and spillback incidents from occurring. |
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School of Mechanical and Aerospace Engineering |
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School of Mechanical and Aerospace Engineering Tan, Zi Hian Yong, Kian Yan Shu, Jian Jun |
format |
Article |
author |
Tan, Zi Hian Yong, Kian Yan Shu, Jian Jun |
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Tan, Zi Hian |
title |
Predicting potential SARS-CoV-2 spillover and spillback in animals |
title_short |
Predicting potential SARS-CoV-2 spillover and spillback in animals |
title_full |
Predicting potential SARS-CoV-2 spillover and spillback in animals |
title_fullStr |
Predicting potential SARS-CoV-2 spillover and spillback in animals |
title_full_unstemmed |
Predicting potential SARS-CoV-2 spillover and spillback in animals |
title_sort |
predicting potential sars-cov-2 spillover and spillback in animals |
publishDate |
2024 |
url |
https://hdl.handle.net/10356/175747 |
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1800916322462203904 |