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Evidence of recombination in Tula virus strains from Serbia

Overview of attention for article published in Infection, Genetics & Evolution, September 2013
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Title
Evidence of recombination in Tula virus strains from Serbia
Published in
Infection, Genetics & Evolution, September 2013
DOI 10.1016/j.meegid.2013.08.020
Pubmed ID
Authors

Valentina Nikolic, Novica Stajkovic, Gorana Stamenkovic, Radovan Cekanac, Predrag Marusic, Marina Siljic, Ana Gligic, Maja Stanojevic

Abstract

Tula hantavirus (TULV) belongs to Bunyaviridae family, with negative sense RNA genome. Segmented nature of hantaviral genome allows for genetic reassortment, but the evidence of homologous recombination also exists. In this study we analyzed TULV sequences isolated in Serbia on different occasions and from different rodent hosts: 1987 strain from Microtus subterraneus and 2007 strain from Microtus arvalis. Phylogenetic analysis of both L and S segment sequences is suggestive of geographically related clustering, as previously shown for majority of hantaviruses. Reconstruction of phylogenetic tree for TULV S segment showed that both sequences from Serbia clustered together with sequences from East Slovakia, which had previously been shown to be recombinants (Kosice strain). Exploratory recombination analysis, supported by phylogenetic and amino acid pattern analysis, revealed the presence of recombination in the S segment sequences from Serbia, resulting in mosaic-like structure of TULV S segment similar to the one of Kosice strain. Although recombination is considered a rare event in molecular evolution of negative strand RNA viruses, obtained molecular data in this study support evidence of recombination in TULV, in geographically distant regions of Europe.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Serbia 1 5%
Unknown 20 95%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 14%
Student > Doctoral Student 2 10%
Professor 2 10%
Professor > Associate Professor 2 10%
Student > Ph. D. Student 2 10%
Other 4 19%
Unknown 6 29%
Readers by discipline Count As %
Agricultural and Biological Sciences 5 24%
Biochemistry, Genetics and Molecular Biology 3 14%
Medicine and Dentistry 3 14%
Immunology and Microbiology 2 10%
Social Sciences 1 5%
Other 0 0%
Unknown 7 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 09 June 2014.
All research outputs
#17,286,379
of 25,374,647 outputs
Outputs from Infection, Genetics & Evolution
#1,546
of 2,978 outputs
Outputs of similar age
#131,052
of 208,978 outputs
Outputs of similar age from Infection, Genetics & Evolution
#25
of 37 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,978 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. This one is in the 36th percentile – i.e., 36% of its peers scored the same or lower than it.
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We're also able to compare this research output to 37 others from the same source and published within six weeks on either side of this one. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.