Evidence map›Paper›PMID 27154332›Full record

ArticleVirus genes2016

Genomic characterization of a novel Epsilonpapillomavirus associated with pigmented papillomas in a red deer (Cervus elaphus).

John S Munday, Bernard L Vaatstra, Magdalena Dunowska, Rebecca E Laurie, Simon Hills

Abstract read
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In one paragraph

Article in Virus genes, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 31% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

John S MundayCollege of Science, Massey University, Palmerston North, New Zealand. j.munday@massey.ac.nz.
Bernard L VaatstraGribbles Veterinary Pathology, Palmerston North, New Zealand.
Magdalena DunowskaCollege of Science, Massey University, Palmerston North, New Zealand.
Rebecca E LaurieOtago Genomics & Bioinformatics Facility, Otago University, Dunedin, New Zealand.
Simon HillsCollege of Science, Massey University, Palmerston North, New Zealand.
Massey University · NZUniversity of Otago · NZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Two of a group of 15 farmed European red (Cervus elaphus elaphus) X wapiti (C. e. canadensis) deer stags developed multiple persistent pigmented squamous papillomas (warts) on their chins. DNA was extracted from a papilloma and a short section of DNA from a novel papillomavirus (PV) was amplified. This short sequence was used to design 'outward facing' primers to amplify the remainder of the circular PV DNA. The PCR product was sequenced using next-generation sequencing and the full genome of the PV, consisting of 8082 bp, was assembled and analysed. The novel PV was designated Cervus elaphus papillomavirus (CePV) type 2. The putative coding regions of CePV2 were predicted to produce four early and two late proteins with two other potential ORFs also noted. Phylogenetic analysis of ORF L1 revealed greater than 60 %, but less than 70 % similarity, to Bos taurus papillomavirus (BPV) types -5 and -7. As both BPV5 and BPV7 are Epsilonpapillomavirus 1, CePV2 is proposed as the first Epsilonpapillomavirus 2 PV type. This is the first EpsilonPV to be identified in a non-bovine species and the first non-DeltaPV to be identified as a cause of disease in any deer species.

Indexed as

AnimalsCattleDeerDNA, ViralGenomicsOpen Reading FramesPapillomaPapillomaviridaePhylogenyDNA, ViralDeerEpsilonpapillomavirusPapillomaPapillomavirusWart

Identifiers

PMID27154332
OpenAlexW2346081027

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.