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Bayesian Phylodynamic Analysis Reveals the Dispersal Patterns of African Swine Fever Virus
The evolutionary and demographic history of African swine fever virus (ASFV) is potentially quite valuable for developing efficient and sustainable management strategies. In this study, we performed phylogenetic, phylodynamic, and phylogeographic analyses of worldwide ASFV based on complete ASFV gen...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9147906/ https://www.ncbi.nlm.nih.gov/pubmed/35632631 http://dx.doi.org/10.3390/v14050889 |
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author | Shen, Zhao-Ji Jia, Hong Xie, Chun-Di Shagainar, Jurmt Feng, Zheng Zhang, Xiaodong Li, Kui Zhou, Rong |
author_facet | Shen, Zhao-Ji Jia, Hong Xie, Chun-Di Shagainar, Jurmt Feng, Zheng Zhang, Xiaodong Li, Kui Zhou, Rong |
author_sort | Shen, Zhao-Ji |
collection | PubMed |
description | The evolutionary and demographic history of African swine fever virus (ASFV) is potentially quite valuable for developing efficient and sustainable management strategies. In this study, we performed phylogenetic, phylodynamic, and phylogeographic analyses of worldwide ASFV based on complete ASFV genomes, B646L gene, and E183L gene sequences obtained from NCBI to understand the epidemiology of ASFV. Bayesian phylodynamic analysis and phylogenetic analysis showed highly similar results of group clustering between E183L and the complete genome. The evidence of migration and the demographic history of ASFV were also revealed by the Bayesian phylodynamic analysis. The evolutionary rate was estimated to be 1.14 × 10(−5) substitution/site/year. The large out-migration from the viral population in South Africa played a crucial role in spreading the virus worldwide. Our study not only provides resources for the better utilization of genomic data but also reveals the comprehensive worldwide evolutionary history of ASFV with a broad sampling window across ~70 years. The characteristics of the virus spatiotemporal transmission are also elucidated, which could be of great importance for devising strategies to control the virus. |
format | Online Article Text |
id | pubmed-9147906 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-91479062022-05-29 Bayesian Phylodynamic Analysis Reveals the Dispersal Patterns of African Swine Fever Virus Shen, Zhao-Ji Jia, Hong Xie, Chun-Di Shagainar, Jurmt Feng, Zheng Zhang, Xiaodong Li, Kui Zhou, Rong Viruses Article The evolutionary and demographic history of African swine fever virus (ASFV) is potentially quite valuable for developing efficient and sustainable management strategies. In this study, we performed phylogenetic, phylodynamic, and phylogeographic analyses of worldwide ASFV based on complete ASFV genomes, B646L gene, and E183L gene sequences obtained from NCBI to understand the epidemiology of ASFV. Bayesian phylodynamic analysis and phylogenetic analysis showed highly similar results of group clustering between E183L and the complete genome. The evidence of migration and the demographic history of ASFV were also revealed by the Bayesian phylodynamic analysis. The evolutionary rate was estimated to be 1.14 × 10(−5) substitution/site/year. The large out-migration from the viral population in South Africa played a crucial role in spreading the virus worldwide. Our study not only provides resources for the better utilization of genomic data but also reveals the comprehensive worldwide evolutionary history of ASFV with a broad sampling window across ~70 years. The characteristics of the virus spatiotemporal transmission are also elucidated, which could be of great importance for devising strategies to control the virus. MDPI 2022-04-25 /pmc/articles/PMC9147906/ /pubmed/35632631 http://dx.doi.org/10.3390/v14050889 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Shen, Zhao-Ji Jia, Hong Xie, Chun-Di Shagainar, Jurmt Feng, Zheng Zhang, Xiaodong Li, Kui Zhou, Rong Bayesian Phylodynamic Analysis Reveals the Dispersal Patterns of African Swine Fever Virus |
title | Bayesian Phylodynamic Analysis Reveals the Dispersal Patterns of African Swine Fever Virus |
title_full | Bayesian Phylodynamic Analysis Reveals the Dispersal Patterns of African Swine Fever Virus |
title_fullStr | Bayesian Phylodynamic Analysis Reveals the Dispersal Patterns of African Swine Fever Virus |
title_full_unstemmed | Bayesian Phylodynamic Analysis Reveals the Dispersal Patterns of African Swine Fever Virus |
title_short | Bayesian Phylodynamic Analysis Reveals the Dispersal Patterns of African Swine Fever Virus |
title_sort | bayesian phylodynamic analysis reveals the dispersal patterns of african swine fever virus |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9147906/ https://www.ncbi.nlm.nih.gov/pubmed/35632631 http://dx.doi.org/10.3390/v14050889 |
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