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Molecular Evolution and Phylogeography of Co-circulating IHNV and VHSV in Italy

Overview of attention for article published in Frontiers in Microbiology, August 2016
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Title
Molecular Evolution and Phylogeography of Co-circulating IHNV and VHSV in Italy
Published in
Frontiers in Microbiology, August 2016
DOI 10.3389/fmicb.2016.01306
Pubmed ID
Authors

Miriam Abbadi, Alice Fusaro, Chiara Ceolin, Claudia Casarotto, Rosita Quartesan, Manuela Dalla Pozza, Giovanni Cattoli, Anna Toffan, Edward C. Holmes, Valentina Panzarin

Abstract

Infectious haematopoietic necrosis virus (IHNV) and viral haemorrhagic septicaemia virus (VHSV) are the most important viral pathogens impacting rainbow trout farming. These viruses are persistent in Italy, where they are responsible for severe disease outbreaks (epizootics) that affect the profitability of the trout industry. Despite the importance of IHNV and VHSV, little is known about their evolution at a local scale, although this is likely to be important for virus eradication and control. To address this issue we performed a detailed molecular evolutionary and epidemiological analysis of IHNV and VHSV in trout farms from northern Italy. Full-length glycoprotein gene sequences of a selection of VHSV (n = 108) and IHNV (n = 89) strains were obtained. This revealed that Italian VHSV strains belong to sublineages Ia1 and Ia2 of genotype Ia and are distributed into 7 genetic clusters. In contrast, all Italian IHNV isolates fell within genogroup E, for which only a single genetic cluster was identified. More striking was that IHNV has evolved more rapidly than VHSV (mean rates of 11 and 7.3 × 10(-4) nucleotide substitutions per site, per year, respectively), indicating that these viruses exhibit fundamentally different evolutionary dynamics. The time to the most recent common ancestor of both IHNV and VHSV was consistent with the first reports of these pathogens in Italy. By combining sequence data with epidemiological information it was possible to identify different patterns of virus spread among trout farms, in which adjacent facilities can be infected by either genetically similar or different viruses, and farms located in different water catchments can be infected by identical strains. Overall, these findings highlight the importance of combining molecular and epidemiological information to identify the determinants of IHN and VHS spread, and to provide data that is central to future surveillance strategies and possibly control.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 35 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 23%
Other 5 14%
Student > Ph. D. Student 5 14%
Student > Master 4 11%
Professor 2 6%
Other 3 9%
Unknown 8 23%
Readers by discipline Count As %
Agricultural and Biological Sciences 9 26%
Veterinary Science and Veterinary Medicine 6 17%
Biochemistry, Genetics and Molecular Biology 3 9%
Immunology and Microbiology 1 3%
Medicine and Dentistry 1 3%
Other 0 0%
Unknown 15 43%
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 08 September 2016.
All research outputs
#20,340,423
of 22,886,568 outputs
Outputs from Frontiers in Microbiology
#22,522
of 24,928 outputs
Outputs of similar age
#299,349
of 342,837 outputs
Outputs of similar age from Frontiers in Microbiology
#348
of 425 outputs
Altmetric has tracked 22,886,568 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 24,928 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 425 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.