• FluTrackers.com Inc. does not provide medical advice. Information on this web site is collected from various internet resources, and the FluTrackers board of directors makes no warranty to the safety, efficacy, correctness or completeness of the information posted on this site by any author or poster. The information collated here is for instructional and/or discussion purposes only and is NOT intended to diagnose or treat any disease, illness, or other medical condition. Every individual reader or poster should seek advice from their personal physician/healthcare practitioner before considering or using any interventions that are discussed on this website. By continuing to access this website you agree to consult your personal physican before using any interventions posted on this website, and you agree to hold harmless FluTrackers.com Inc., the board of directors, the members, and all authors and posters for any effects from use of any medication, supplement, vitamin or other substance, device, intervention, etc. mentioned in posts on this website, or other internet venues referenced in posts on this website.
  • We are not asking for any donations. Do not donate to any entity who says they are raising funds for us.

Evolutionary Dynamics of Local Pandemic H1N1/2009 Influenza Virus Lineages Revealed by Whole-Genome Analysis

tetano

Editor, Senior Moderator
First published October 2011, doi: 10.1128/​JVI.05347-11 J. Virol. January 2012 vol. 86 no. 1 11-18


Evolutionary Dynamics of Local Pandemic H1N1/2009 Influenza Virus Lineages Revealed by Whole-Genome Analysis

Gregory J. Bailliea,
Monica Galianob,
Paul-Michael Agapowb,
Richard Myersb,
Rachael Chiama,
Astrid Galla,
Anne L. Palsera,
Simon J. Watsona,
Jessica Hedgec,
Anthony Underwoodb,
Steven Plattb,
Estelle McLeanb,
Richard G. Pebodyb,
Andrew Rambautc,d,
Jonathan Greenb,
Rod Danielse,
Oliver G. Pybusf,
Paul Kellama and
Maria Zambonb

+ Author Affiliations

aWellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Cambridge, United Kingdom
bCentre for Infections, Health Protection Agency, London, United Kingdom
cInstitute of Evolutionary Biology, Ashworth Laboratories, Edinburgh, United Kingdom
dFogarty International Center, National Institutes of Health, Bethesda, Maryland, USA
eDivision of Virology, National Institute for Medical Research, London, United Kingdom
fDepartment of Zoology, University of Oxford, Oxford, United Kingdom

ABSTRACT

Virus gene sequencing and phylogenetics can be used to study the epidemiological dynamics of rapidly evolving viruses. With complete genome data, it becomes possible to identify and trace individual transmission chains of viruses such as influenza virus during the course of an epidemic. Here we sequenced 153 pandemic influenza H1N1/09 virus genomes from United Kingdom isolates from the first (127 isolates) and second (26 isolates) waves of the 2009 pandemic and used their sequences, dates of isolation, and geographical locations to infer the genetic epidemiology of the epidemic in the United Kingdom. We demonstrate that the epidemic in the United Kingdom was composed of many cocirculating lineages, among which at least 13 were exclusively or predominantly United Kingdom clusters. The estimated divergence times of two of the clusters predate the detection of pandemic H1N1/09 virus in the United Kingdom, suggesting that the pandemic H1N1/09 virus was already circulating in the United Kingdom before the first clinical case. Crucially, three clusters contain isolates from the second wave of infections in the United Kingdom, two of which represent chains of transmission that appear to have persisted within the United Kingdom between the first and second waves. This demonstrates that whole-genome analysis can track in fine detail the behavior of individual influenza virus lineages during the course of a single epidemic or pandemic.


http://jvi.asm.org/content/86/1/11.short?rss=1
 
Back
Top Bottom