Global surveillance of emerging Influenza virus genotypes by mass spectrometry.

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 previo...

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Main Authors: Rangarajan Sampath, Kevin L Russell, Christian Massire, Mark W Eshoo, Vanessa Harpin, Lawrence B Blyn, Rachael Melton, Cristina Ivy, Thuy Pennella, Feng Li, Harold Levene, Thomas A Hall, Brian Libby, Nancy Fan, Demetrius J Walcott, Raymond Ranken, Michael Pear, Amy Schink, Jose Gutierrez, Jared Drader, David Moore, David Metzgar, Lynda Addington, Richard Rothman, Charlotte A Gaydos, Samuel Yang, Kirsten St George, Meghan E Fuschino, Amy B Dean, David E Stallknecht, Ginger Goekjian, Samuel Yingst, Marshall Monteville, Magdi D Saad, Chris A Whitehouse, Carson Baldwin, Karl H Rudnick, Steven A Hofstadler, Stanley M Lemon, David J Ecker
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2007-05-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC1876795?pdf=render
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author Rangarajan Sampath
Kevin L Russell
Christian Massire
Mark W Eshoo
Vanessa Harpin
Lawrence B Blyn
Rachael Melton
Cristina Ivy
Thuy Pennella
Feng Li
Harold Levene
Thomas A Hall
Brian Libby
Nancy Fan
Demetrius J Walcott
Raymond Ranken
Michael Pear
Amy Schink
Jose Gutierrez
Jared Drader
David Moore
David Metzgar
Lynda Addington
Richard Rothman
Charlotte A Gaydos
Samuel Yang
Kirsten St George
Meghan E Fuschino
Amy B Dean
David E Stallknecht
Ginger Goekjian
Samuel Yingst
Marshall Monteville
Magdi D Saad
Chris A Whitehouse
Carson Baldwin
Karl H Rudnick
Steven A Hofstadler
Stanley M Lemon
David J Ecker
author_facet Rangarajan Sampath
Kevin L Russell
Christian Massire
Mark W Eshoo
Vanessa Harpin
Lawrence B Blyn
Rachael Melton
Cristina Ivy
Thuy Pennella
Feng Li
Harold Levene
Thomas A Hall
Brian Libby
Nancy Fan
Demetrius J Walcott
Raymond Ranken
Michael Pear
Amy Schink
Jose Gutierrez
Jared Drader
David Moore
David Metzgar
Lynda Addington
Richard Rothman
Charlotte A Gaydos
Samuel Yang
Kirsten St George
Meghan E Fuschino
Amy B Dean
David E Stallknecht
Ginger Goekjian
Samuel Yingst
Marshall Monteville
Magdi D Saad
Chris A Whitehouse
Carson Baldwin
Karl H Rudnick
Steven A Hofstadler
Stanley M Lemon
David J Ecker
author_sort Rangarajan Sampath
collection DOAJ
description 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.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.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 doaj.art-c99229be3506447dbf48c58321babbdc2022-12-22T02:51:50ZengPublic Library of Science (PLoS)PLoS ONE1932-62032007-05-0125e48910.1371/journal.pone.0000489Global surveillance of emerging Influenza virus genotypes by mass spectrometry.Rangarajan SampathKevin L RussellChristian MassireMark W EshooVanessa HarpinLawrence B BlynRachael MeltonCristina IvyThuy PennellaFeng LiHarold LeveneThomas A HallBrian LibbyNancy FanDemetrius J WalcottRaymond RankenMichael PearAmy SchinkJose GutierrezJared DraderDavid MooreDavid MetzgarLynda AddingtonRichard RothmanCharlotte A GaydosSamuel YangKirsten St GeorgeMeghan E FuschinoAmy B DeanDavid E StallknechtGinger GoekjianSamuel YingstMarshall MontevilleMagdi D SaadChris A WhitehouseCarson BaldwinKarl H RudnickSteven A HofstadlerStanley M LemonDavid J EckerEffective 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.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.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.http://europepmc.org/articles/PMC1876795?pdf=render
spellingShingle Rangarajan Sampath
Kevin L Russell
Christian Massire
Mark W Eshoo
Vanessa Harpin
Lawrence B Blyn
Rachael Melton
Cristina Ivy
Thuy Pennella
Feng Li
Harold Levene
Thomas A Hall
Brian Libby
Nancy Fan
Demetrius J Walcott
Raymond Ranken
Michael Pear
Amy Schink
Jose Gutierrez
Jared Drader
David Moore
David Metzgar
Lynda Addington
Richard Rothman
Charlotte A Gaydos
Samuel Yang
Kirsten St George
Meghan E Fuschino
Amy B Dean
David E Stallknecht
Ginger Goekjian
Samuel Yingst
Marshall Monteville
Magdi D Saad
Chris A Whitehouse
Carson Baldwin
Karl H Rudnick
Steven A Hofstadler
Stanley M Lemon
David J Ecker
Global surveillance of emerging Influenza virus genotypes by mass spectrometry.
PLoS ONE
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
url http://europepmc.org/articles/PMC1876795?pdf=render
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