Evidence map›Paper›PMID 27081310›Full record

ArticleBioinformatics and biology insights2015

Bioinformatics and Molecular Analysis of the Evolutionary Relationship between Bovine Rhinitis A Viruses and Foot-And-Mouth Disease Virus.

Devendra K Rai, Paul Lawrence, Steve J Pauszek, Maria E Piccone, Nick J Knowles, Elizabeth Rieder

Open access · goldAbstract read
In one paragraph

Article in Bioinformatics and biology insights, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact, top 81% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Detection and Genomic Characterization of Bovine Rhinitis Virus in China.Animals : an open access journal from MDPI · 2023
    Article
  4. Article
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

6 authors at 2 institutions in 2 countries.

Devendra K RaiAgricultural Research Service, US Department of Agriculture, Plum Island Animal Disease Center, Greenport, NY, USA.; Department of Pathobiology and Veterinary Science, University of Connecticut, Storrs, CT, USA.
Paul LawrenceAgricultural Research Service, US Department of Agriculture, Plum Island Animal Disease Center, Greenport, NY, USA.
Steve J PauszekAgricultural Research Service, US Department of Agriculture, Plum Island Animal Disease Center, Greenport, NY, USA.
Maria E PicconeAgricultural Research Service, US Department of Agriculture, Plum Island Animal Disease Center, Greenport, NY, USA.
Nick J KnowlesThe Pirbright Institute, Ash Road, Pirbright, Woking, Surrey, UK.
Elizabeth RiederAgricultural Research Service, US Department of Agriculture, Plum Island Animal Disease Center, Greenport, NY, USA.
The Pirbright Institute · GBUniversity of Connecticut · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bovine rhinitis viruses (BRVs) cause mild respiratory disease of cattle. In this study, a near full-length genome sequence of a virus named RS3X (formerly classified as bovine rhinovirus type 1), isolated from infected cattle from the UK in the 1960s, was obtained and analyzed. Compared to other closely related Aphthoviruses, major differences were detected in the leader protease (L(pro)), P1, 2B, and 3A proteins. Phylogenetic analysis revealed that RS3X was a member of the species bovine rhinitis A virus (BRAV). Using different codon-based and branch-site selection models for Aphthoviruses, including BRAV RS3X and foot-and-mouth disease virus, we observed no clear evidence for genomic regions undergoing positive selection. However, within each of the BRV species, multiple sites under positive selection were detected. The results also suggest that the probability (determined by Recombination Detection Program) for recombination events between BRVs and other Aphthoviruses, including foot-and-mouth disease virus was not significant. In contrast, within BRVs, the probability of recombination increases. The data reported here provide genetic information to assist in the identification of diagnostic signatures and research tools for BRAV.

Indexed as

bioinformaticsBRAV RS3Xevolutionphylogenysequence

Identifiers

PMID27081310
PMCPMC4822724
OpenAlexW2337494969

What OpenQuestion 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 OpenQuestion graph.