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author Sampath, Rangarajan
Russell, Kevin L.
Massire, Christian
Eshoo, Mark W.
Harpin, Vanessa
Blyn, Lawrence B.
Melton, Rachael
Ivy, Cristina
Pennella, Thuy
Li, Feng
Levene, Harold
Hall, Thomas A.
Libby, Brian
Fan, Nancy
Walcott, Demetrius J.
Ranken, Raymond
Pear, Michael
Schink, Amy
Gutierrez, Jose
Drader, Jared
Moore, David
Metzgar, David
Addington, Lynda
Rothman, Richard
Gaydos, Charlotte A.
Yang, Samuel
St. George, Kirsten
Fuschino, Meghan E.
Dean, Amy B.
Stallknecht, David E.
Goekjian, Ginger
Yingst, Samuel
Monteville, Marshall
Saad, Magdi D.
Whitehouse, Chris A.
Baldwin, Carson
Rudnick, Karl H.
Hofstadler, Steven A.
Lemon, Stanley M.
Ecker, David J.
author_facet Sampath, Rangarajan
Russell, Kevin L.
Massire, Christian
Eshoo, Mark W.
Harpin, Vanessa
Blyn, Lawrence B.
Melton, Rachael
Ivy, Cristina
Pennella, Thuy
Li, Feng
Levene, Harold
Hall, Thomas A.
Libby, Brian
Fan, Nancy
Walcott, Demetrius J.
Ranken, Raymond
Pear, Michael
Schink, Amy
Gutierrez, Jose
Drader, Jared
Moore, David
Metzgar, David
Addington, Lynda
Rothman, Richard
Gaydos, Charlotte A.
Yang, Samuel
St. George, Kirsten
Fuschino, Meghan E.
Dean, Amy B.
Stallknecht, David E.
Goekjian, Ginger
Yingst, Samuel
Monteville, Marshall
Saad, Magdi D.
Whitehouse, Chris A.
Baldwin, Carson
Rudnick, Karl H.
Hofstadler, Steven A.
Lemon, Stanley M.
Ecker, David J.
author_sort Sampath, Rangarajan
collection PubMed
description BACKGROUND: Effective influenza surveillance requires new methods capable of rapid and inexpensive genomic analysis of evolving viral species for pandemic preparedness, to understand the evolution of circulating viral species, and for vaccine strain selection. We have developed one such approach based on previously described broad-range reverse transcription PCR/electrospray ionization mass spectrometry (RT-PCR/ESI-MS) technology. METHODS AND PRINCIPAL FINDINGS: Analysis of base compositions of RT-PCR amplicons from influenza core gene segments (PB1, PB2, PA, M, NS, NP) are used to provide sub-species identification and infer influenza virus H and N subtypes. Using this approach, we detected and correctly identified 92 mammalian and avian influenza isolates, representing 30 different H and N types, including 29 avian H5N1 isolates. Further, direct analysis of 656 human clinical respiratory specimens collected over a seven-year period (1999–2006) showed correct identification of the viral species and subtypes with >97% sensitivity and specificity. Base composition derived clusters inferred from this analysis showed 100% concordance to previously established clades. Ongoing surveillance of samples from the recent influenza virus seasons (2005–2006) showed evidence for emergence and establishment of new genotypes of circulating H3N2 strains worldwide. Mixed viral quasispecies were found in approximately 1% of these recent samples providing a view into viral evolution. CONCLUSION/SIGNIFICANCE: Thus, rapid RT-PCR/ESI-MS analysis can be used to simultaneously identify all species of influenza viruses with clade-level resolution, identify mixed viral populations and monitor global spread and emergence of novel viral genotypes. This high-throughput method promises to become an integral component of influenza surveillance.
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spelling pubmed-18767952007-05-30 Global Surveillance of Emerging Influenza Virus Genotypes by Mass Spectrometry Sampath, Rangarajan Russell, Kevin L. Massire, Christian Eshoo, Mark W. Harpin, Vanessa Blyn, Lawrence B. Melton, Rachael Ivy, Cristina Pennella, Thuy Li, Feng Levene, Harold Hall, Thomas A. Libby, Brian Fan, Nancy Walcott, Demetrius J. Ranken, Raymond Pear, Michael Schink, Amy Gutierrez, Jose Drader, Jared Moore, David Metzgar, David Addington, Lynda Rothman, Richard Gaydos, Charlotte A. Yang, Samuel St. George, Kirsten Fuschino, Meghan E. Dean, Amy B. Stallknecht, David E. Goekjian, Ginger Yingst, Samuel Monteville, Marshall Saad, Magdi D. Whitehouse, Chris A. Baldwin, Carson Rudnick, Karl H. Hofstadler, Steven A. Lemon, Stanley M. Ecker, David J. PLoS One Research Article BACKGROUND: Effective influenza surveillance requires new methods capable of rapid and inexpensive genomic analysis of evolving viral species for pandemic preparedness, to understand the evolution of circulating viral species, and for vaccine strain selection. We have developed one such approach based on previously described broad-range reverse transcription PCR/electrospray ionization mass spectrometry (RT-PCR/ESI-MS) technology. METHODS AND PRINCIPAL FINDINGS: Analysis of base compositions of RT-PCR amplicons from influenza core gene segments (PB1, PB2, PA, M, NS, NP) are used to provide sub-species identification and infer influenza virus H and N subtypes. Using this approach, we detected and correctly identified 92 mammalian and avian influenza isolates, representing 30 different H and N types, including 29 avian H5N1 isolates. Further, direct analysis of 656 human clinical respiratory specimens collected over a seven-year period (1999–2006) showed correct identification of the viral species and subtypes with >97% sensitivity and specificity. Base composition derived clusters inferred from this analysis showed 100% concordance to previously established clades. Ongoing surveillance of samples from the recent influenza virus seasons (2005–2006) showed evidence for emergence and establishment of new genotypes of circulating H3N2 strains worldwide. Mixed viral quasispecies were found in approximately 1% of these recent samples providing a view into viral evolution. CONCLUSION/SIGNIFICANCE: Thus, rapid RT-PCR/ESI-MS analysis can be used to simultaneously identify all species of influenza viruses with clade-level resolution, identify mixed viral populations and monitor global spread and emergence of novel viral genotypes. This high-throughput method promises to become an integral component of influenza surveillance. Public Library of Science 2007-05-30 /pmc/articles/PMC1876795/ /pubmed/17534439 http://dx.doi.org/10.1371/journal.pone.0000489 Text en This is an open-access article distributed under the terms of the Creative Commons Public Domain declaration which stipulates that, once placed in the public domain, this work may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. https://creativecommons.org/publicdomain/zero/1.0/ This is an open-access article distributed under the terms of the Creative Commons Public Domain declaration, which stipulates that, once placed in the public domain, this work may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose.
spellingShingle Research Article
Sampath, Rangarajan
Russell, Kevin L.
Massire, Christian
Eshoo, Mark W.
Harpin, Vanessa
Blyn, Lawrence B.
Melton, Rachael
Ivy, Cristina
Pennella, Thuy
Li, Feng
Levene, Harold
Hall, Thomas A.
Libby, Brian
Fan, Nancy
Walcott, Demetrius J.
Ranken, Raymond
Pear, Michael
Schink, Amy
Gutierrez, Jose
Drader, Jared
Moore, David
Metzgar, David
Addington, Lynda
Rothman, Richard
Gaydos, Charlotte A.
Yang, Samuel
St. George, Kirsten
Fuschino, Meghan E.
Dean, Amy B.
Stallknecht, David E.
Goekjian, Ginger
Yingst, Samuel
Monteville, Marshall
Saad, Magdi D.
Whitehouse, Chris A.
Baldwin, Carson
Rudnick, Karl H.
Hofstadler, Steven A.
Lemon, Stanley M.
Ecker, David J.
Global Surveillance of Emerging Influenza Virus Genotypes by Mass Spectrometry
title Global Surveillance of Emerging Influenza Virus Genotypes by Mass Spectrometry
title_full Global Surveillance of Emerging Influenza Virus Genotypes by Mass Spectrometry
title_fullStr Global Surveillance of Emerging Influenza Virus Genotypes by Mass Spectrometry
title_full_unstemmed Global Surveillance of Emerging Influenza Virus Genotypes by Mass Spectrometry
title_short Global Surveillance of Emerging Influenza Virus Genotypes by Mass Spectrometry
title_sort global surveillance of emerging influenza virus genotypes by mass spectrometry
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1876795/
https://www.ncbi.nlm.nih.gov/pubmed/17534439
http://dx.doi.org/10.1371/journal.pone.0000489
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