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Use of consensus sequences for the design of high density resequencing microarrays: the influenza virus paradigm

BACKGROUND: A resequencing microarray called PathogenID v2.0 has been developed and used to explore various strategies of sequence selection for its design. The part dedicated to influenza viruses was based on consensus sequences specific for one gene generated from global alignments of a large numb...

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Autores principales: Leclercq, India, Berthet, Nicolas, Batéjat, Christophe, Rousseaux, Claudine, Dickinson, Philip, Old, Iain G, Kong, Katherine, Kennedy, Giulia C, Cole, Stewart T, Manuguerra, Jean-Claude
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3091733/
https://www.ncbi.nlm.nih.gov/pubmed/20961419
http://dx.doi.org/10.1186/1471-2164-11-586
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author Leclercq, India
Berthet, Nicolas
Batéjat, Christophe
Rousseaux, Claudine
Dickinson, Philip
Old, Iain G
Kong, Katherine
Kennedy, Giulia C
Cole, Stewart T
Manuguerra, Jean-Claude
author_facet Leclercq, India
Berthet, Nicolas
Batéjat, Christophe
Rousseaux, Claudine
Dickinson, Philip
Old, Iain G
Kong, Katherine
Kennedy, Giulia C
Cole, Stewart T
Manuguerra, Jean-Claude
author_sort Leclercq, India
collection PubMed
description BACKGROUND: A resequencing microarray called PathogenID v2.0 has been developed and used to explore various strategies of sequence selection for its design. The part dedicated to influenza viruses was based on consensus sequences specific for one gene generated from global alignments of a large number of influenza virus sequences available in databanks. RESULTS: For each HA (H1, H2, H3, H5, H7 and H9) and NA (N1, N2 and N7) molecular type chosen to be tested, 1 to 3 consensus sequences were computed and tiled on the microarray. A total of 12 influenza virus samples from different host origins (humans, pigs, horses and birds) and isolated over a period of about 50 years were used in this study. Influenza viruses were correctly identified, and in most cases with the accurate information of the time of their emergence. CONCLUSIONS: PathogenID v2.0 microarray demonstrated its ability to type and subtype influenza viruses, often to the level of viral variants, with a minimum number of tiled sequences. This validated the strategy of using consensus sequences, which do not exist in nature, for our microarray design. The versatility, rapidity and high discriminatory power of the PathogenID v2.0 microarray could prove critical to detect and identify viral genome reassortment events resulting in a novel virus with epidemic or pandemic potential and therefore assist health authorities to make efficient decisions about patient treatment and outbreak management.
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spelling pubmed-30917332011-05-11 Use of consensus sequences for the design of high density resequencing microarrays: the influenza virus paradigm Leclercq, India Berthet, Nicolas Batéjat, Christophe Rousseaux, Claudine Dickinson, Philip Old, Iain G Kong, Katherine Kennedy, Giulia C Cole, Stewart T Manuguerra, Jean-Claude BMC Genomics Methodology Article BACKGROUND: A resequencing microarray called PathogenID v2.0 has been developed and used to explore various strategies of sequence selection for its design. The part dedicated to influenza viruses was based on consensus sequences specific for one gene generated from global alignments of a large number of influenza virus sequences available in databanks. RESULTS: For each HA (H1, H2, H3, H5, H7 and H9) and NA (N1, N2 and N7) molecular type chosen to be tested, 1 to 3 consensus sequences were computed and tiled on the microarray. A total of 12 influenza virus samples from different host origins (humans, pigs, horses and birds) and isolated over a period of about 50 years were used in this study. Influenza viruses were correctly identified, and in most cases with the accurate information of the time of their emergence. CONCLUSIONS: PathogenID v2.0 microarray demonstrated its ability to type and subtype influenza viruses, often to the level of viral variants, with a minimum number of tiled sequences. This validated the strategy of using consensus sequences, which do not exist in nature, for our microarray design. The versatility, rapidity and high discriminatory power of the PathogenID v2.0 microarray could prove critical to detect and identify viral genome reassortment events resulting in a novel virus with epidemic or pandemic potential and therefore assist health authorities to make efficient decisions about patient treatment and outbreak management. BioMed Central 2010-10-20 /pmc/articles/PMC3091733/ /pubmed/20961419 http://dx.doi.org/10.1186/1471-2164-11-586 Text en Copyright ©2010 Leclercq et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Methodology Article
Leclercq, India
Berthet, Nicolas
Batéjat, Christophe
Rousseaux, Claudine
Dickinson, Philip
Old, Iain G
Kong, Katherine
Kennedy, Giulia C
Cole, Stewart T
Manuguerra, Jean-Claude
Use of consensus sequences for the design of high density resequencing microarrays: the influenza virus paradigm
title Use of consensus sequences for the design of high density resequencing microarrays: the influenza virus paradigm
title_full Use of consensus sequences for the design of high density resequencing microarrays: the influenza virus paradigm
title_fullStr Use of consensus sequences for the design of high density resequencing microarrays: the influenza virus paradigm
title_full_unstemmed Use of consensus sequences for the design of high density resequencing microarrays: the influenza virus paradigm
title_short Use of consensus sequences for the design of high density resequencing microarrays: the influenza virus paradigm
title_sort use of consensus sequences for the design of high density resequencing microarrays: the influenza virus paradigm
topic Methodology Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3091733/
https://www.ncbi.nlm.nih.gov/pubmed/20961419
http://dx.doi.org/10.1186/1471-2164-11-586
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