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Isolation and Molecular Characterization of a Novel Picornavirus from Baitfish in the USA

Overview of attention for article published in PLOS ONE, February 2014
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Title
Isolation and Molecular Characterization of a Novel Picornavirus from Baitfish in the USA
Published in
PLOS ONE, February 2014
DOI 10.1371/journal.pone.0087593
Pubmed ID
Authors

Nicholas B. D. Phelps, Sunil K. Mor, Anibal G. Armien, William Batts, Andrew E. Goodwin, Lacey Hopper, Rebekah McCann, Terry Fei Fan Ng, Corey Puzach, Thomas B. Waltzek, Eric Delwart, James Winton, Sagar M. Goyal

Abstract

During both regulatory and routine surveillance sampling of baitfish from the states of Illinois, Minnesota, Montana, and Wisconsin, USA, isolates (n = 20) of a previously unknown picornavirus were obtained from kidney/spleen or entire viscera of fathead minnows (Pimephales promelas) and brassy minnows (Hybognathus hankinsoni). Following the appearance of a diffuse cytopathic effect, examination of cell culture supernatant by negative contrast electron microscopy revealed the presence of small, round virus particles (∼ 30-32 nm), with picornavirus-like morphology. Amplification and sequence analysis of viral RNA identified the agent as a novel member of the Picornaviridae family, tentatively named fathead minnow picornavirus (FHMPV). The full FHMPV genome consisted of 7834 nucleotides. Phylogenetic analysis based on 491 amino acid residues of the 3D gene showed 98.6% to 100% identity among the 20 isolates of FHMPV compared in this study while only 49.5% identity with its nearest neighbor, the bluegill picornavirus (BGPV) isolated from bluegill (Lepomis macrochirus). Based on complete polyprotein analysis, the FHMPV shared 58% (P1), 33% (P2) and 43% (P3) amino acid identities with BGPV and shared less than 40% amino acid identity with all other picornaviruses. Hence, we propose the creation of a new genus (Piscevirus) within the Picornaviridae family. The impact of FHMPV on the health of fish populations is unknown at present.

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Geographical breakdown

Country Count As %
New Zealand 1 2%
Unknown 44 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 22%
Student > Master 7 16%
Student > Bachelor 3 7%
Student > Doctoral Student 3 7%
Student > Ph. D. Student 3 7%
Other 7 16%
Unknown 12 27%
Readers by discipline Count As %
Agricultural and Biological Sciences 15 33%
Immunology and Microbiology 6 13%
Veterinary Science and Veterinary Medicine 3 7%
Computer Science 2 4%
Biochemistry, Genetics and Molecular Biology 2 4%
Other 3 7%
Unknown 14 31%