Evidence map›Paper›PMID 31712091›Full record

ArticleJournal of virological methods2020

Infectious bronchitis virus Mass-type (GI-1) and QX-like (GI-19) genotyping and vaccine differentiation using SYBR green RT-qPCR paired with melting curve analysis.

Andrea Laconi, Alinda J Berends, Esther C H de Laat, Tara A P M P Urselmann, Hélène M Verheije

Abstract read
In one paragraph

Article in Journal of virological methods, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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

5 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.

Andrea LaconiDepartment of Pathobiology, Faculty of Veterinary Medicine, Utrecht University, Utrecht, the Netherlands. Electronic address: andrea.laconi@unipd.it.
Alinda J BerendsDepartment of Pathobiology, Faculty of Veterinary Medicine, Utrecht University, Utrecht, the Netherlands.
Esther C H de LaatDepartment of Pathobiology, Faculty of Veterinary Medicine, Utrecht University, Utrecht, the Netherlands.
Tara A P M P UrselmannDepartment of Pathobiology, Faculty of Veterinary Medicine, Utrecht University, Utrecht, the Netherlands.
Hélène M VerheijeDepartment of Pathobiology, Faculty of Veterinary Medicine, Utrecht University, Utrecht, the Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Infectious Bronchitis Virus (IBV) is a highly contagious virus of chicken, causing huge economic losses in the poultry industry. Many genotypes circulate in a given area, and optimal protection relies on vaccination with live attenuated vaccines of the same genotype. As these live vaccines are derived from field viruses and circulate, understanding the prevalence of different IBV genotypes in any area is complex. In a recent study, the genome comparison of an IBV QX vaccine and its progenitor field strain led to the identification of vaccine markers. Here we developed a simplex SYBRgreen RT-qPCR assay for differentiation between QX-like field and vaccine strains and a multiplex SYBRgreen RT-qPCR assay for IBV genotyping with melting curve analysis, as each virus produced distinct and reliable melting peaks. Both the simplex and the multiplex assays showed excellent efficiency, sensitivity and specificity representing a low cost diagnostic tool for IBV genotyping and vaccine differentiation.

Indexed as

AnimalsChickensCoronavirus InfectionsGenotypeInfectious bronchitis virusMolecular Diagnostic TechniquesPoultry DiseasesReal-Time Polymerase Chain ReactionSensitivity and SpecificityVaccines, AttenuatedViral ProteinsViral VaccinesVaccines, AttenuatedViral ProteinsViral VaccinesGenotypingInfectious bronchitis virusMelting curveRT-qPCRVaccine differentiation

Identifiers

PMID31712091
PMCPMC7113787

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Registered trials

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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.