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Lineages, Sub-Lineages and Variants of Enterovirus 68 in Recent Outbreaks

Overview of attention for article published in PLOS ONE, April 2012
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Title
Lineages, Sub-Lineages and Variants of Enterovirus 68 in Recent Outbreaks
Published in
PLOS ONE, April 2012
DOI 10.1371/journal.pone.0036005
Pubmed ID
Authors

Ina L. Lauinger, Jon M. Bible, Eugene P. Halligan, Emma J. Aarons, Eithne MacMahon, Cheuk Y. W. Tong

Abstract

Enterovirus 68 (EV68) was first isolated in 1962. Very few cases of EV68 infection were described over the ensuing 40 years. However, in the past few years, an increase in severe respiratory tract infections associated with EV68 has been reported. We identified two clusters of EV68 infection in South London, UK, one each in the autumn/winters of 2009 and 2010. Sequence comparison showed significant homology of the UK strains with those from other countries including the Netherlands, Japan and the Philippines, which reported EV68 outbreaks between 2008 and 2010. Phylogenetic analysis of all available VP1 sequences indicated the presence of two modern EV68 lineages. The 2010 UK strains belonged to lineage 2. Lineage 1 could be further divided into two sub-lineages: some Japanese and Dutch strains collected between 2004 and 2010 form a distinct sub-lineages (sub-lineage 1.1), whereas other strains from the UK, Japan, Netherlands and Philippines collected between 2008 and 2010 represent sub-lineage 1.2. The UK 2009 strains together with several Dutch and Japanese strains from 2009/2010 represents one variant (1.2.1), whereas those from the Philippines a second variant (1.2.2). Based on specific deletions and substitutions, we suggest rules for the assignment of lineages and sub-lineages. Molecular epidemiological analysis indicates rapid recent evolution of EV68 and this may explain the recent findings of a global resurgence of EV68. Continuous global monitoring of the clinical and molecular epidemiology of EV68 is recommended.

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Geographical breakdown

Country Count As %
United States 1 2%
Unknown 55 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 21%
Researcher 10 18%
Student > Bachelor 9 16%
Student > Master 7 13%
Other 5 9%
Other 6 11%
Unknown 7 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 18 32%
Medicine and Dentistry 16 29%
Biochemistry, Genetics and Molecular Biology 5 9%
Immunology and Microbiology 5 9%
Computer Science 1 2%
Other 2 4%
Unknown 9 16%