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First Dating of a Recombination Event in Mammalian Tick-Borne Flaviviruses

Overview of attention for article published in PLOS ONE, February 2012
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Title
First Dating of a Recombination Event in Mammalian Tick-Borne Flaviviruses
Published in
PLOS ONE, February 2012
DOI 10.1371/journal.pone.0031981
Pubmed ID
Authors

Yann Bertrand, Mats Töpel, Annelie Elväng, Wessam Melik, Magnus Johansson

Abstract

The mammalian tick-borne flavivirus group (MTBFG) contains viruses associated with important human and animal diseases such as encephalitis and hemorrhagic fever. In contrast to mosquito-borne flaviviruses where recombination events are frequent, the evolutionary dynamic within the MTBFG was believed to be essentially clonal. This assumption was challenged with the recent report of several homologous recombinations within the Tick-borne encephalitis virus (TBEV). We performed a thorough analysis of publicly available genomes in this group and found no compelling evidence for the previously identified recombinations. However, our results show for the first time that demonstrable recombination (i.e., with large statistical support and strong phylogenetic evidences) has occurred in the MTBFG, more specifically within the Louping ill virus lineage. Putative parents, recombinant strains and breakpoints were further tested for statistical significance using phylogenetic methods. We investigated the time of divergence between the recombinant and parental strains in a Bayesian framework. The recombination was estimated to have occurred during a window of 282 to 76 years before the present. By unravelling the temporal setting of the event, we adduce hypotheses about the ecological conditions that could account for the observed recombination.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 5%
Portugal 1 3%
Sweden 1 3%
Unknown 36 90%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 30%
Student > Ph. D. Student 7 18%
Other 4 10%
Student > Master 4 10%
Professor 2 5%
Other 3 8%
Unknown 8 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 16 40%
Veterinary Science and Veterinary Medicine 3 8%
Immunology and Microbiology 3 8%
Medicine and Dentistry 3 8%
Biochemistry, Genetics and Molecular Biology 1 3%
Other 5 13%
Unknown 9 23%