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Novel and extendable genotyping system for human respiratory syncytial virus based on whole‐genome sequence analysis

BACKGROUND: Human respiratory syncytial virus (RSV) is one of the leading causes of respiratory infections, especially in infants and young children. Previous RSV sequencing studies have primarily focused on partial sequencing of G gene (200–300 nucleotides) for genotype characterization or diagnost...

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Autores principales: Chen, Jiani, Qiu, Xueting, Avadhanula, Vasanthi, Shepard, Samuel S., Kim, Do‐Kyun, Hixson, James, Piedra, Pedro A., Bahl, Justin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8983899/
https://www.ncbi.nlm.nih.gov/pubmed/34894077
http://dx.doi.org/10.1111/irv.12936
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author Chen, Jiani
Qiu, Xueting
Avadhanula, Vasanthi
Shepard, Samuel S.
Kim, Do‐Kyun
Hixson, James
Piedra, Pedro A.
Bahl, Justin
author_facet Chen, Jiani
Qiu, Xueting
Avadhanula, Vasanthi
Shepard, Samuel S.
Kim, Do‐Kyun
Hixson, James
Piedra, Pedro A.
Bahl, Justin
author_sort Chen, Jiani
collection PubMed
description BACKGROUND: Human respiratory syncytial virus (RSV) is one of the leading causes of respiratory infections, especially in infants and young children. Previous RSV sequencing studies have primarily focused on partial sequencing of G gene (200–300 nucleotides) for genotype characterization or diagnostics. However, the genotype assignment with G gene has not recapitulated the phylogenetic signal of other genes, and there is no consensus on RSV genotype definition. METHODS: We conducted maximum likelihood phylogenetic analysis with 10 RSV individual genes and whole‐genome sequence (WGS) that are published in GenBank. RSV genotypes were determined by using phylogenetic analysis and pair‐wise node distances. RESULTS: In this study, we first statistically examined the phylogenetic incongruence, rate variation for each RSV gene sequence and WGS. We then proposed a new RSV genotyping system based on a comparative analysis of WGS and the temporal distribution of strains. We also provide an RSV classification tool to perform RSV genotype assignment and a publicly accessible up‐to‐date instance of Nextstrain where the phylogenetic relationship of all genotypes can be explored. CONCLUSIONS: This revised RSV genotyping system will provide important information for disease surveillance, epidemiology, and vaccine development.
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spelling pubmed-89838992022-05-01 Novel and extendable genotyping system for human respiratory syncytial virus based on whole‐genome sequence analysis Chen, Jiani Qiu, Xueting Avadhanula, Vasanthi Shepard, Samuel S. Kim, Do‐Kyun Hixson, James Piedra, Pedro A. Bahl, Justin Influenza Other Respir Viruses Original Articles BACKGROUND: Human respiratory syncytial virus (RSV) is one of the leading causes of respiratory infections, especially in infants and young children. Previous RSV sequencing studies have primarily focused on partial sequencing of G gene (200–300 nucleotides) for genotype characterization or diagnostics. However, the genotype assignment with G gene has not recapitulated the phylogenetic signal of other genes, and there is no consensus on RSV genotype definition. METHODS: We conducted maximum likelihood phylogenetic analysis with 10 RSV individual genes and whole‐genome sequence (WGS) that are published in GenBank. RSV genotypes were determined by using phylogenetic analysis and pair‐wise node distances. RESULTS: In this study, we first statistically examined the phylogenetic incongruence, rate variation for each RSV gene sequence and WGS. We then proposed a new RSV genotyping system based on a comparative analysis of WGS and the temporal distribution of strains. We also provide an RSV classification tool to perform RSV genotype assignment and a publicly accessible up‐to‐date instance of Nextstrain where the phylogenetic relationship of all genotypes can be explored. CONCLUSIONS: This revised RSV genotyping system will provide important information for disease surveillance, epidemiology, and vaccine development. John Wiley and Sons Inc. 2021-12-10 2022-05 /pmc/articles/PMC8983899/ /pubmed/34894077 http://dx.doi.org/10.1111/irv.12936 Text en © 2021 The Authors. Influenza and Other Respiratory Viruses published by John Wiley & Sons Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Articles
Chen, Jiani
Qiu, Xueting
Avadhanula, Vasanthi
Shepard, Samuel S.
Kim, Do‐Kyun
Hixson, James
Piedra, Pedro A.
Bahl, Justin
Novel and extendable genotyping system for human respiratory syncytial virus based on whole‐genome sequence analysis
title Novel and extendable genotyping system for human respiratory syncytial virus based on whole‐genome sequence analysis
title_full Novel and extendable genotyping system for human respiratory syncytial virus based on whole‐genome sequence analysis
title_fullStr Novel and extendable genotyping system for human respiratory syncytial virus based on whole‐genome sequence analysis
title_full_unstemmed Novel and extendable genotyping system for human respiratory syncytial virus based on whole‐genome sequence analysis
title_short Novel and extendable genotyping system for human respiratory syncytial virus based on whole‐genome sequence analysis
title_sort novel and extendable genotyping system for human respiratory syncytial virus based on whole‐genome sequence analysis
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8983899/
https://www.ncbi.nlm.nih.gov/pubmed/34894077
http://dx.doi.org/10.1111/irv.12936
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