Evidence map›Paper›PMID 20854299›Full record

ArticleAustralian veterinary journal2010

Application of high-resolution melt curve analysis for classification of infectious bronchitis viruses in field specimens.

K A Hewson, G F Browning, J M Devlin, J Ignjatovic, A H Noormohammadi

Abstract read
In one paragraph

Article in Australian veterinary journal, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
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

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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

9 citing papers in PubMed.

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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.

K A HewsonDepartment of Veterinary Science, The University of Melbourne, 250 Princes Highway, Werribee, Victoria 3030, Australia. khewson@unimelb.edu.au
G F Browning
J M Devlin
J Ignjatovic
A H Noormohammadi

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveA real-time polymerase chain reaction (PCR)/high-resolution melt (HRM) curve analysis protocol was developed in our laboratory to differentiate infectious bronchitis (IB) virus reference strains. In the current study, this method was used to detect and classify IB viruses in field submissions. PROCEDURE: Over an 11-month period samples from 40 cases of suspected IB virus were received and 17 submissions were positive for IB virus by polymerase chain reaction. HRM curve analysis classified each strain as subgroup 1, 2 or 3 strain (12 submissions) or a strain that was unable to be classified (5 submissions). The 3' untranslated region (UTR) and partial S1 gene nucleotide sequences for the 17 IB virus strains were determined and their identity with those of the relative reference strains compared to confirm the classifications generated using the HRM curve analysis.

resultsOf the 12 IB field viruses classified as subgroup 1, 2, or 3 using HRM curve analysis, the 3'UTR and S1 gene nucleotide sequences had identities ≥99% with the respective subgroup reference strain. Analysis of the 3' UTR and S1 gene nucleotide sequences for the five IB virus strains that could not be classified indicated that four belonged to one of the subgroups, and one was a potential recombinant strain (between strains from subgroups 2 and 3). A novel recombinant strain was also detected.

conclusionHRM curve analysis can rapidly assign the majority of IB viruses present in field submissions to known subgroups. Importantly, HRM curve analysis also identified variant genotypes that require further investigation.

Indexed as

Phylogeny3' Untranslated RegionsAnimalsBase SequenceChickensCoronavirus InfectionsDNA, ViralGene AmplificationGenotypeInfectious bronchitis virusMolecular Sequence DataPoultry DiseasesRNA, Viral3' Untranslated RegionsDNA, ViralRNA, Viral

Identifiers

PMID20854299
PMCPMC7159776

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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.