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Updated unified phylogenetic classification system and revised nomenclature for Newcastle disease virus
Several Avian paramyxoviruses 1 (synonymous with Newcastle disease virus or NDV, used hereafter) classification systems have been proposed for strain identification and differentiation. These systems pioneered classification efforts; however, they were based on different approaches and lacked object...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Science
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6876278/ https://www.ncbi.nlm.nih.gov/pubmed/31200111 http://dx.doi.org/10.1016/j.meegid.2019.103917 |
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author | Dimitrov, Kiril M. Abolnik, Celia Afonso, Claudio L. Albina, Emmanuel Bahl, Justin Berg, Mikael Briand, Francois-Xavier Brown, Ian H. Choi, Kang-Seuk Chvala, Ilya Diel, Diego G. Durr, Peter A. Ferreira, Helena L. Fusaro, Alice Gil, Patricia Goujgoulova, Gabriela V. Grund, Christian Hicks, Joseph T. Joannis, Tony M. Torchetti, Mia Kim Kolosov, Sergey Lambrecht, Bénédicte Lewis, Nicola S. Liu, Haijin Liu, Hualei McCullough, Sam Miller, Patti J. Monne, Isabella Muller, Claude P. Munir, Muhammad Reischak, Dilmara Sabra, Mahmoud Samal, Siba K. Servan de Almeida, Renata Shittu, Ismaila Snoeck, Chantal J. Suarez, David L. Van Borm, Steven Wang, Zhiliang Wong, Frank Y.K. |
author_facet | Dimitrov, Kiril M. Abolnik, Celia Afonso, Claudio L. Albina, Emmanuel Bahl, Justin Berg, Mikael Briand, Francois-Xavier Brown, Ian H. Choi, Kang-Seuk Chvala, Ilya Diel, Diego G. Durr, Peter A. Ferreira, Helena L. Fusaro, Alice Gil, Patricia Goujgoulova, Gabriela V. Grund, Christian Hicks, Joseph T. Joannis, Tony M. Torchetti, Mia Kim Kolosov, Sergey Lambrecht, Bénédicte Lewis, Nicola S. Liu, Haijin Liu, Hualei McCullough, Sam Miller, Patti J. Monne, Isabella Muller, Claude P. Munir, Muhammad Reischak, Dilmara Sabra, Mahmoud Samal, Siba K. Servan de Almeida, Renata Shittu, Ismaila Snoeck, Chantal J. Suarez, David L. Van Borm, Steven Wang, Zhiliang Wong, Frank Y.K. |
author_sort | Dimitrov, Kiril M. |
collection | PubMed |
description | Several Avian paramyxoviruses 1 (synonymous with Newcastle disease virus or NDV, used hereafter) classification systems have been proposed for strain identification and differentiation. These systems pioneered classification efforts; however, they were based on different approaches and lacked objective criteria for the differentiation of isolates. These differences have created discrepancies among systems, rendering discussions and comparisons across studies difficult. Although a system that used objective classification criteria was proposed by Diel and co-workers in 2012, the ample worldwide circulation and constant evolution of NDV, and utilization of only some of the criteria, led to identical naming and/or incorrect assigning of new sub/genotypes. To address these issues, an international consortium of experts was convened to undertake in-depth analyses of NDV genetic diversity. This consortium generated curated, up-to-date, complete fusion gene class I and class II datasets of all known NDV for public use, performed comprehensive phylogenetic neighbor-Joining, maximum-likelihood, Bayesian and nucleotide distance analyses, and compared these inference methods. An updated NDV classification and nomenclature system that incorporates phylogenetic topology, genetic distances, branch support, and epidemiological independence was developed. This new consensus system maintains two NDV classes and existing genotypes, identifies three new class II genotypes, and reduces the number of sub-genotypes. In order to track the ancestry of viruses, a dichotomous naming system for designating sub-genotypes was introduced. In addition, a pilot dataset and sub-trees rooting guidelines for rapid preliminary genotype identification of new isolates are provided. Guidelines for sequence dataset curation and phylogenetic inference, and a detailed comparison between the updated and previous systems are included. To increase the speed of phylogenetic inference and ensure consistency between laboratories, detailed guidelines for the use of a supercomputer are also provided. The proposed unified classification system will facilitate future studies of NDV evolution and epidemiology, and comparison of results obtained across the world. |
format | Online Article Text |
id | pubmed-6876278 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Elsevier Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-68762782019-11-29 Updated unified phylogenetic classification system and revised nomenclature for Newcastle disease virus Dimitrov, Kiril M. Abolnik, Celia Afonso, Claudio L. Albina, Emmanuel Bahl, Justin Berg, Mikael Briand, Francois-Xavier Brown, Ian H. Choi, Kang-Seuk Chvala, Ilya Diel, Diego G. Durr, Peter A. Ferreira, Helena L. Fusaro, Alice Gil, Patricia Goujgoulova, Gabriela V. Grund, Christian Hicks, Joseph T. Joannis, Tony M. Torchetti, Mia Kim Kolosov, Sergey Lambrecht, Bénédicte Lewis, Nicola S. Liu, Haijin Liu, Hualei McCullough, Sam Miller, Patti J. Monne, Isabella Muller, Claude P. Munir, Muhammad Reischak, Dilmara Sabra, Mahmoud Samal, Siba K. Servan de Almeida, Renata Shittu, Ismaila Snoeck, Chantal J. Suarez, David L. Van Borm, Steven Wang, Zhiliang Wong, Frank Y.K. Infect Genet Evol Article Several Avian paramyxoviruses 1 (synonymous with Newcastle disease virus or NDV, used hereafter) classification systems have been proposed for strain identification and differentiation. These systems pioneered classification efforts; however, they were based on different approaches and lacked objective criteria for the differentiation of isolates. These differences have created discrepancies among systems, rendering discussions and comparisons across studies difficult. Although a system that used objective classification criteria was proposed by Diel and co-workers in 2012, the ample worldwide circulation and constant evolution of NDV, and utilization of only some of the criteria, led to identical naming and/or incorrect assigning of new sub/genotypes. To address these issues, an international consortium of experts was convened to undertake in-depth analyses of NDV genetic diversity. This consortium generated curated, up-to-date, complete fusion gene class I and class II datasets of all known NDV for public use, performed comprehensive phylogenetic neighbor-Joining, maximum-likelihood, Bayesian and nucleotide distance analyses, and compared these inference methods. An updated NDV classification and nomenclature system that incorporates phylogenetic topology, genetic distances, branch support, and epidemiological independence was developed. This new consensus system maintains two NDV classes and existing genotypes, identifies three new class II genotypes, and reduces the number of sub-genotypes. In order to track the ancestry of viruses, a dichotomous naming system for designating sub-genotypes was introduced. In addition, a pilot dataset and sub-trees rooting guidelines for rapid preliminary genotype identification of new isolates are provided. Guidelines for sequence dataset curation and phylogenetic inference, and a detailed comparison between the updated and previous systems are included. To increase the speed of phylogenetic inference and ensure consistency between laboratories, detailed guidelines for the use of a supercomputer are also provided. The proposed unified classification system will facilitate future studies of NDV evolution and epidemiology, and comparison of results obtained across the world. Elsevier Science 2019-10 /pmc/articles/PMC6876278/ /pubmed/31200111 http://dx.doi.org/10.1016/j.meegid.2019.103917 Text en Crown Copyright © 2019 Published by Elsevier B.V. http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Dimitrov, Kiril M. Abolnik, Celia Afonso, Claudio L. Albina, Emmanuel Bahl, Justin Berg, Mikael Briand, Francois-Xavier Brown, Ian H. Choi, Kang-Seuk Chvala, Ilya Diel, Diego G. Durr, Peter A. Ferreira, Helena L. Fusaro, Alice Gil, Patricia Goujgoulova, Gabriela V. Grund, Christian Hicks, Joseph T. Joannis, Tony M. Torchetti, Mia Kim Kolosov, Sergey Lambrecht, Bénédicte Lewis, Nicola S. Liu, Haijin Liu, Hualei McCullough, Sam Miller, Patti J. Monne, Isabella Muller, Claude P. Munir, Muhammad Reischak, Dilmara Sabra, Mahmoud Samal, Siba K. Servan de Almeida, Renata Shittu, Ismaila Snoeck, Chantal J. Suarez, David L. Van Borm, Steven Wang, Zhiliang Wong, Frank Y.K. Updated unified phylogenetic classification system and revised nomenclature for Newcastle disease virus |
title | Updated unified phylogenetic classification system and revised nomenclature for Newcastle disease virus |
title_full | Updated unified phylogenetic classification system and revised nomenclature for Newcastle disease virus |
title_fullStr | Updated unified phylogenetic classification system and revised nomenclature for Newcastle disease virus |
title_full_unstemmed | Updated unified phylogenetic classification system and revised nomenclature for Newcastle disease virus |
title_short | Updated unified phylogenetic classification system and revised nomenclature for Newcastle disease virus |
title_sort | updated unified phylogenetic classification system and revised nomenclature for newcastle disease virus |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6876278/ https://www.ncbi.nlm.nih.gov/pubmed/31200111 http://dx.doi.org/10.1016/j.meegid.2019.103917 |
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