Evidence map›Paper›PMID 37450475›Full record

ArticlePloS one2023

Rapid and sensitive detection of waterfowl mycoplasmas using TaqMan assays.

Edina Nemesházi, Enikő Wehmann, Dénes Grózner, Dorottya Sára Nagy, Áron Botond Kovács, Dorottya Földi, Zsuzsa Kreizinger, Miklós Gyuranecz

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In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Edina NemesháziVeterinary Medical Research Institute, Eötvös Loránd Research Network, Budapest, Hungary.ORCID 0000-0002-0179-1153
Enikő WehmannVeterinary Medical Research Institute, Eötvös Loránd Research Network, Budapest, Hungary.ORCID 0000-0002-1229-1146
Dénes GróznerVeterinary Medical Research Institute, Eötvös Loránd Research Network, Budapest, Hungary.
Dorottya Sára NagyVeterinary Medical Research Institute, Eötvös Loránd Research Network, Budapest, Hungary.
Áron Botond KovácsVeterinary Medical Research Institute, Eötvös Loránd Research Network, Budapest, Hungary.
Dorottya FöldiVeterinary Medical Research Institute, Eötvös Loránd Research Network, Budapest, Hungary.
Zsuzsa KreizingerVeterinary Medical Research Institute, Eötvös Loránd Research Network, Budapest, Hungary.
Miklós GyuraneczVeterinary Medical Research Institute, Eötvös Loránd Research Network, Budapest, Hungary.ORCID 0000-0002-5698-5713

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Waterfowl-specific mycoplasmas cause significant economic losses worldwide. However, only limited resources are available for the specific detection of three such bacteria, Mycoplasma anatis, M. anseris and M. cloacale. We developed species-specific TaqMan assays and tested their reliability across 20 strains of the respective target species as well as 84 non-target avian bacterial strains. Furthermore, we analysed 32 clinical DNA samples and compared the results with those of previously published conventional PCRs. The TaqMan assays showed 100% specificity and very high sensitivity, enabling the detection of target DNA as low as either 10 or 100 copies/μl concentration, depending on the assay. Importantly, we found that while the here developed TaqMan assays are reliable for species-specific detection of M. anatis, the previously published conventional PCR assay may give false positive results. In conclusion, the new assays are reliable, sensitive and suitable for clinical diagnostics of the target species.

Indexed as

BirdsMycoplasma InfectionsAnimalsPolymerase Chain ReactionReproducibility of ResultsSensitivity and Specificity

Identifiers

PMID37450475
PMCPMC10348571

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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.