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Comparative Analysis of Whole-Genome Sequence of African Swine Fever Virus Belgium 2018/1

We analyzed the whole-genome sequence of African swine fever virus Belgium 2018/1. The strain fits into the European genotype II (>99.98% identity). The high-coverage sequence revealed 15 differences compared with an improved African swine fever virus Georgia 2007/1 sequence. However, in the abse...

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Autores principales: Forth, Jan H., Tignon, Marylène, Cay, Ann Brigitte, Forth, Leonie F., Höper, Dirk, Blome, Sandra, Beer, Martin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Centers for Disease Control and Prevention 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6537744/
https://www.ncbi.nlm.nih.gov/pubmed/30907724
http://dx.doi.org/10.3201/eid2506.190286
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author Forth, Jan H.
Tignon, Marylène
Cay, Ann Brigitte
Forth, Leonie F.
Höper, Dirk
Blome, Sandra
Beer, Martin
author_facet Forth, Jan H.
Tignon, Marylène
Cay, Ann Brigitte
Forth, Leonie F.
Höper, Dirk
Blome, Sandra
Beer, Martin
author_sort Forth, Jan H.
collection PubMed
description We analyzed the whole-genome sequence of African swine fever virus Belgium 2018/1. The strain fits into the European genotype II (>99.98% identity). The high-coverage sequence revealed 15 differences compared with an improved African swine fever virus Georgia 2007/1 sequence. However, in the absence of genetic markers, no spatial or temporal correlations could be defined.
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spelling pubmed-65377442019-06-05 Comparative Analysis of Whole-Genome Sequence of African Swine Fever Virus Belgium 2018/1 Forth, Jan H. Tignon, Marylène Cay, Ann Brigitte Forth, Leonie F. Höper, Dirk Blome, Sandra Beer, Martin Emerg Infect Dis Research Letter We analyzed the whole-genome sequence of African swine fever virus Belgium 2018/1. The strain fits into the European genotype II (>99.98% identity). The high-coverage sequence revealed 15 differences compared with an improved African swine fever virus Georgia 2007/1 sequence. However, in the absence of genetic markers, no spatial or temporal correlations could be defined. Centers for Disease Control and Prevention 2019-06 /pmc/articles/PMC6537744/ /pubmed/30907724 http://dx.doi.org/10.3201/eid2506.190286 Text en https://creativecommons.org/licenses/by/4.0/This is a publication of the U.S. Government. This publication is in the public domain and is therefore without copyright. All text from this work may be reprinted freely. Use of these materials should be properly cited.
spellingShingle Research Letter
Forth, Jan H.
Tignon, Marylène
Cay, Ann Brigitte
Forth, Leonie F.
Höper, Dirk
Blome, Sandra
Beer, Martin
Comparative Analysis of Whole-Genome Sequence of African Swine Fever Virus Belgium 2018/1
title Comparative Analysis of Whole-Genome Sequence of African Swine Fever Virus Belgium 2018/1
title_full Comparative Analysis of Whole-Genome Sequence of African Swine Fever Virus Belgium 2018/1
title_fullStr Comparative Analysis of Whole-Genome Sequence of African Swine Fever Virus Belgium 2018/1
title_full_unstemmed Comparative Analysis of Whole-Genome Sequence of African Swine Fever Virus Belgium 2018/1
title_short Comparative Analysis of Whole-Genome Sequence of African Swine Fever Virus Belgium 2018/1
title_sort comparative analysis of whole-genome sequence of african swine fever virus belgium 2018/1
topic Research Letter
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6537744/
https://www.ncbi.nlm.nih.gov/pubmed/30907724
http://dx.doi.org/10.3201/eid2506.190286
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