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Large-scale evolutionary surveillance of the 2009 H1N1 influenza A virus using resequencing arrays
In April 2009, a new influenza A (H1N1 2009) virus emerged that rapidly spread around the world. While current variants of this virus have caused widespread disease, particularly in vulnerable groups, there remains the possibility that future variants may cause increased virulence, drug resistance o...
Autores principales: | , , , , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2010
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2874996/ https://www.ncbi.nlm.nih.gov/pubmed/20185568 http://dx.doi.org/10.1093/nar/gkq089 |
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author | Lee, Charlie Wah Heng Koh, Chee Wee Chan, Yang Sun Aw, Pauline Poh Kim Loh, Kuan Hon Han, Bing Ling Thien, Pei Ling Nai, Geraldine Yi Wen Hibberd, Martin L. Wong, Christopher W. Sung, Wing-Kin |
author_facet | Lee, Charlie Wah Heng Koh, Chee Wee Chan, Yang Sun Aw, Pauline Poh Kim Loh, Kuan Hon Han, Bing Ling Thien, Pei Ling Nai, Geraldine Yi Wen Hibberd, Martin L. Wong, Christopher W. Sung, Wing-Kin |
author_sort | Lee, Charlie Wah Heng |
collection | PubMed |
description | In April 2009, a new influenza A (H1N1 2009) virus emerged that rapidly spread around the world. While current variants of this virus have caused widespread disease, particularly in vulnerable groups, there remains the possibility that future variants may cause increased virulence, drug resistance or vaccine escape. Early detection of these virus variants may offer the chance for increased containment and potentially prevention of the virus spread. We have developed and field-tested a resequencing kit that is capable of interrogating all eight segments of the 2009 influenza A(H1N1) virus genome and its variants, with added focus on critical regions such as drug-binding sites, structural components and mutation hotspots. The accompanying base-calling software (EvolSTAR) introduces novel methods that utilize neighbourhood hybridization intensity profiles and substitution bias of probes on the microarray for mutation confirmation and recovery of ambiguous base queries. Our results demonstrate that EvolSTAR is highly accurate and has a much improved call rate. The high throughput and short turn-around time from sample to sequence and analysis results (30 h for 24 samples) makes this kit an efficient large-scale evolutionary biosurveillance tool. |
format | Text |
id | pubmed-2874996 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-28749962010-05-24 Large-scale evolutionary surveillance of the 2009 H1N1 influenza A virus using resequencing arrays Lee, Charlie Wah Heng Koh, Chee Wee Chan, Yang Sun Aw, Pauline Poh Kim Loh, Kuan Hon Han, Bing Ling Thien, Pei Ling Nai, Geraldine Yi Wen Hibberd, Martin L. Wong, Christopher W. Sung, Wing-Kin Nucleic Acids Res Methods Online In April 2009, a new influenza A (H1N1 2009) virus emerged that rapidly spread around the world. While current variants of this virus have caused widespread disease, particularly in vulnerable groups, there remains the possibility that future variants may cause increased virulence, drug resistance or vaccine escape. Early detection of these virus variants may offer the chance for increased containment and potentially prevention of the virus spread. We have developed and field-tested a resequencing kit that is capable of interrogating all eight segments of the 2009 influenza A(H1N1) virus genome and its variants, with added focus on critical regions such as drug-binding sites, structural components and mutation hotspots. The accompanying base-calling software (EvolSTAR) introduces novel methods that utilize neighbourhood hybridization intensity profiles and substitution bias of probes on the microarray for mutation confirmation and recovery of ambiguous base queries. Our results demonstrate that EvolSTAR is highly accurate and has a much improved call rate. The high throughput and short turn-around time from sample to sequence and analysis results (30 h for 24 samples) makes this kit an efficient large-scale evolutionary biosurveillance tool. Oxford University Press 2010-05 2010-02-25 /pmc/articles/PMC2874996/ /pubmed/20185568 http://dx.doi.org/10.1093/nar/gkq089 Text en © The Author(s) 2010. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/2.5 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.5), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Methods Online Lee, Charlie Wah Heng Koh, Chee Wee Chan, Yang Sun Aw, Pauline Poh Kim Loh, Kuan Hon Han, Bing Ling Thien, Pei Ling Nai, Geraldine Yi Wen Hibberd, Martin L. Wong, Christopher W. Sung, Wing-Kin Large-scale evolutionary surveillance of the 2009 H1N1 influenza A virus using resequencing arrays |
title | Large-scale evolutionary surveillance of the 2009 H1N1 influenza A virus using resequencing arrays |
title_full | Large-scale evolutionary surveillance of the 2009 H1N1 influenza A virus using resequencing arrays |
title_fullStr | Large-scale evolutionary surveillance of the 2009 H1N1 influenza A virus using resequencing arrays |
title_full_unstemmed | Large-scale evolutionary surveillance of the 2009 H1N1 influenza A virus using resequencing arrays |
title_short | Large-scale evolutionary surveillance of the 2009 H1N1 influenza A virus using resequencing arrays |
title_sort | large-scale evolutionary surveillance of the 2009 h1n1 influenza a virus using resequencing arrays |
topic | Methods Online |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2874996/ https://www.ncbi.nlm.nih.gov/pubmed/20185568 http://dx.doi.org/10.1093/nar/gkq089 |
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