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Prediction of SARS-CoV-2 hosts among Brazilian mammals and new coronavirus transmission chain using evolutionary bioinformatics

Severe acute respiratory syndrome coronavirus (SARS-CoV) and SARS-CoV-2 are thought to transmit to humans via wild mammals, especially bats. However, evidence for direct bat-to-human transmission is lacking. Involvement of intermediate hosts is considered a reason for SARS-CoV-2 transmission to huma...

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Autores principales: Lopes, Luciano Rodrigo, de Mattos Cardillo, Giancarlo, de Lucca Pina, Natália Carvalho, da Silva Junior, Antonio Carlos, Kasinski, Silvana Kertzer, Bandiera-Paiva, Paulo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Singapore 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8475823/
https://www.ncbi.nlm.nih.gov/pubmed/34778882
http://dx.doi.org/10.1186/s44149-021-00020-w
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author Lopes, Luciano Rodrigo
de Mattos Cardillo, Giancarlo
de Lucca Pina, Natália Carvalho
da Silva Junior, Antonio Carlos
Kasinski, Silvana Kertzer
Bandiera-Paiva, Paulo
author_facet Lopes, Luciano Rodrigo
de Mattos Cardillo, Giancarlo
de Lucca Pina, Natália Carvalho
da Silva Junior, Antonio Carlos
Kasinski, Silvana Kertzer
Bandiera-Paiva, Paulo
author_sort Lopes, Luciano Rodrigo
collection PubMed
description Severe acute respiratory syndrome coronavirus (SARS-CoV) and SARS-CoV-2 are thought to transmit to humans via wild mammals, especially bats. However, evidence for direct bat-to-human transmission is lacking. Involvement of intermediate hosts is considered a reason for SARS-CoV-2 transmission to humans and emergence of outbreak. Large biodiversity is found in tropical territories, such as Brazil. On the similar line, this study aimed to predict potential coronavirus hosts among Brazilian wild mammals based on angiotensin-converting enzyme 2 (ACE2) sequences using evolutionary bioinformatics. Cougar, maned wolf, and bush dogs were predicted as potential hosts for coronavirus. These indigenous carnivores are philogenetically closer to the known SARS-CoV/SARS-CoV-2 hosts and presented low ACE2 divergence. A new coronavirus transmission chain was developed in which white-tailed deer, a susceptible SARS-CoV-2 host, have the central position. Cougar play an important role because of its low divergent ACE2 level in deer and humans. The discovery of these potential coronavirus hosts will be useful for epidemiological surveillance and discovery of interventions that can contribute to break the transmission chain. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s44149-021-00020-w.
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spelling pubmed-84758232021-09-28 Prediction of SARS-CoV-2 hosts among Brazilian mammals and new coronavirus transmission chain using evolutionary bioinformatics Lopes, Luciano Rodrigo de Mattos Cardillo, Giancarlo de Lucca Pina, Natália Carvalho da Silva Junior, Antonio Carlos Kasinski, Silvana Kertzer Bandiera-Paiva, Paulo Animal Diseases Short Communication Severe acute respiratory syndrome coronavirus (SARS-CoV) and SARS-CoV-2 are thought to transmit to humans via wild mammals, especially bats. However, evidence for direct bat-to-human transmission is lacking. Involvement of intermediate hosts is considered a reason for SARS-CoV-2 transmission to humans and emergence of outbreak. Large biodiversity is found in tropical territories, such as Brazil. On the similar line, this study aimed to predict potential coronavirus hosts among Brazilian wild mammals based on angiotensin-converting enzyme 2 (ACE2) sequences using evolutionary bioinformatics. Cougar, maned wolf, and bush dogs were predicted as potential hosts for coronavirus. These indigenous carnivores are philogenetically closer to the known SARS-CoV/SARS-CoV-2 hosts and presented low ACE2 divergence. A new coronavirus transmission chain was developed in which white-tailed deer, a susceptible SARS-CoV-2 host, have the central position. Cougar play an important role because of its low divergent ACE2 level in deer and humans. The discovery of these potential coronavirus hosts will be useful for epidemiological surveillance and discovery of interventions that can contribute to break the transmission chain. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s44149-021-00020-w. Springer Singapore 2021-09-26 2021 /pmc/articles/PMC8475823/ /pubmed/34778882 http://dx.doi.org/10.1186/s44149-021-00020-w Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Short Communication
Lopes, Luciano Rodrigo
de Mattos Cardillo, Giancarlo
de Lucca Pina, Natália Carvalho
da Silva Junior, Antonio Carlos
Kasinski, Silvana Kertzer
Bandiera-Paiva, Paulo
Prediction of SARS-CoV-2 hosts among Brazilian mammals and new coronavirus transmission chain using evolutionary bioinformatics
title Prediction of SARS-CoV-2 hosts among Brazilian mammals and new coronavirus transmission chain using evolutionary bioinformatics
title_full Prediction of SARS-CoV-2 hosts among Brazilian mammals and new coronavirus transmission chain using evolutionary bioinformatics
title_fullStr Prediction of SARS-CoV-2 hosts among Brazilian mammals and new coronavirus transmission chain using evolutionary bioinformatics
title_full_unstemmed Prediction of SARS-CoV-2 hosts among Brazilian mammals and new coronavirus transmission chain using evolutionary bioinformatics
title_short Prediction of SARS-CoV-2 hosts among Brazilian mammals and new coronavirus transmission chain using evolutionary bioinformatics
title_sort prediction of sars-cov-2 hosts among brazilian mammals and new coronavirus transmission chain using evolutionary bioinformatics
topic Short Communication
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8475823/
https://www.ncbi.nlm.nih.gov/pubmed/34778882
http://dx.doi.org/10.1186/s44149-021-00020-w
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