Cargando…
Towards a unified classification for human respiratory syncytial virus genotypes
Since the first human respiratory syncytial virus (HRSV) genotype classification in 1998, inconsistent conclusions have been drawn regarding the criteria that define HRSV genotypes and their nomenclature, challenging data comparisons between research groups. In this study, we aim to unify the field...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7552823/ https://www.ncbi.nlm.nih.gov/pubmed/33072402 http://dx.doi.org/10.1093/ve/veaa052 |
_version_ | 1783593481667608576 |
---|---|
author | Ramaekers, Kaat Rector, Annabel Cuypers, Lize Lemey, Philippe Keyaerts, Els Van Ranst, Marc |
author_facet | Ramaekers, Kaat Rector, Annabel Cuypers, Lize Lemey, Philippe Keyaerts, Els Van Ranst, Marc |
author_sort | Ramaekers, Kaat |
collection | PubMed |
description | Since the first human respiratory syncytial virus (HRSV) genotype classification in 1998, inconsistent conclusions have been drawn regarding the criteria that define HRSV genotypes and their nomenclature, challenging data comparisons between research groups. In this study, we aim to unify the field of HRSV genotype classification by reviewing the different methods that have been used in the past to define HRSV genotypes and by proposing a new classification procedure, based on well-established phylogenetic methods. All available complete HRSV genomes (>12,000 bp) were downloaded from GenBank and divided into the two subgroups: HRSV-A and HRSV-B. From whole-genome alignments, the regions that correspond to the open reading frame of the glycoprotein G and the second hypervariable region (HVR2) of the ectodomain were extracted. In the resulting partial alignments, the phylogenetic signal within each fragment was assessed. Maximum likelihood phylogenetic trees were reconstructed using the complete genome alignments. Patristic distances were calculated between all pairs of tips in the phylogenetic tree and summarized as a density plot in order to determine a cutoff value at the lowest point following the major distance peak. Our data show that neither the HVR2 fragment nor the G gene contains sufficient phylogenetic signal to perform reliable phylogenetic reconstruction. Therefore, whole-genome alignments were used to determine HRSV genotypes. We define a genotype using the following criteria: a bootstrap support of [Formula: see text] 70 per cent for the respective clade and a maximum patristic distance between all members of the clade of ≤0.018 substitutions per site for HRSV-A or ≤0.026 substitutions per site for HRSV-B. By applying this definition, we distinguish twenty-three genotypes within subtype HRSV-A and six genotypes within subtype HRSV-B. Applying the genotype criteria on subsampled data sets confirmed the robustness of the method. |
format | Online Article Text |
id | pubmed-7552823 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-75528232020-10-16 Towards a unified classification for human respiratory syncytial virus genotypes Ramaekers, Kaat Rector, Annabel Cuypers, Lize Lemey, Philippe Keyaerts, Els Van Ranst, Marc Virus Evol Research Article Since the first human respiratory syncytial virus (HRSV) genotype classification in 1998, inconsistent conclusions have been drawn regarding the criteria that define HRSV genotypes and their nomenclature, challenging data comparisons between research groups. In this study, we aim to unify the field of HRSV genotype classification by reviewing the different methods that have been used in the past to define HRSV genotypes and by proposing a new classification procedure, based on well-established phylogenetic methods. All available complete HRSV genomes (>12,000 bp) were downloaded from GenBank and divided into the two subgroups: HRSV-A and HRSV-B. From whole-genome alignments, the regions that correspond to the open reading frame of the glycoprotein G and the second hypervariable region (HVR2) of the ectodomain were extracted. In the resulting partial alignments, the phylogenetic signal within each fragment was assessed. Maximum likelihood phylogenetic trees were reconstructed using the complete genome alignments. Patristic distances were calculated between all pairs of tips in the phylogenetic tree and summarized as a density plot in order to determine a cutoff value at the lowest point following the major distance peak. Our data show that neither the HVR2 fragment nor the G gene contains sufficient phylogenetic signal to perform reliable phylogenetic reconstruction. Therefore, whole-genome alignments were used to determine HRSV genotypes. We define a genotype using the following criteria: a bootstrap support of [Formula: see text] 70 per cent for the respective clade and a maximum patristic distance between all members of the clade of ≤0.018 substitutions per site for HRSV-A or ≤0.026 substitutions per site for HRSV-B. By applying this definition, we distinguish twenty-three genotypes within subtype HRSV-A and six genotypes within subtype HRSV-B. Applying the genotype criteria on subsampled data sets confirmed the robustness of the method. Oxford University Press 2020-07-24 /pmc/articles/PMC7552823/ /pubmed/33072402 http://dx.doi.org/10.1093/ve/veaa052 Text en © The Author(s) 2020. Published by Oxford University Press. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) ), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Research Article Ramaekers, Kaat Rector, Annabel Cuypers, Lize Lemey, Philippe Keyaerts, Els Van Ranst, Marc Towards a unified classification for human respiratory syncytial virus genotypes |
title | Towards a unified classification for human respiratory syncytial virus genotypes |
title_full | Towards a unified classification for human respiratory syncytial virus genotypes |
title_fullStr | Towards a unified classification for human respiratory syncytial virus genotypes |
title_full_unstemmed | Towards a unified classification for human respiratory syncytial virus genotypes |
title_short | Towards a unified classification for human respiratory syncytial virus genotypes |
title_sort | towards a unified classification for human respiratory syncytial virus genotypes |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7552823/ https://www.ncbi.nlm.nih.gov/pubmed/33072402 http://dx.doi.org/10.1093/ve/veaa052 |
work_keys_str_mv | AT ramaekerskaat towardsaunifiedclassificationforhumanrespiratorysyncytialvirusgenotypes AT rectorannabel towardsaunifiedclassificationforhumanrespiratorysyncytialvirusgenotypes AT cuyperslize towardsaunifiedclassificationforhumanrespiratorysyncytialvirusgenotypes AT lemeyphilippe towardsaunifiedclassificationforhumanrespiratorysyncytialvirusgenotypes AT keyaertsels towardsaunifiedclassificationforhumanrespiratorysyncytialvirusgenotypes AT vanranstmarc towardsaunifiedclassificationforhumanrespiratorysyncytialvirusgenotypes |