Evidence map›Paper›PMID 26556281›Full record

ArticlePloS one2015

High-Resolution Melting Curve Analysis for Identification of Pasteurellaceae Species in Experimental Animal Facilities.

Manuel Miller, Julia Zorn, Markus Brielmeier

Abstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
–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

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  6. Review
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  8. Article
  9. Evaluation of a Novel Mitochondrial Pan-Journal of fungi (Basel, Switzerland) · 2019
    Article
  10. The Likelihood of Misidentifying Rodent Pasteurellaceae by Using Results from a Single PCR Assay.Journal of the American Association for Laboratory Animal Science : JAALAS · 2019
    Article
  11. Article
  12. 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

3 authors.

Manuel MillerResearch Unit Comparative Medicine, German Research Center for Environmental Health, Neuherberg, Germany.
Julia ZornResearch Unit Comparative Medicine, German Research Center for Environmental Health, Neuherberg, Germany.
Markus BrielmeierResearch Unit Comparative Medicine, German Research Center for Environmental Health, Neuherberg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pasteurellaceae are among the most prevalent bacterial pathogens isolated from mice housed in experimental animal facilities. Reliable detection and differentiation of Pasteurellaceae are essential for high-quality health monitoring. In this study, we combined a real-time PCR assay amplifying a variable region in the 16S rRNA sequence with high-resolution melting curve analysis (HRM) to identify and differentiate among the commonly isolated species Pasteurella pneumotropica biotypes "Jawetz" and "Heyl", Actinobacillus muris, and Haemophilus influenzaemurium. We used a set of six reference strains for assay development, with the melting profiles of these strains clearly distinguishable due to DNA sequence variations in the amplicon. For evaluation, we used real-time PCR/HRM to test 25 unknown Pasteurellaceae isolates obtained from an external diagnostic laboratory and found the results to be consistent with those of partial 16S rRNA sequencing. The real-time PCR/HRM method provides a sensitive, rapid, and closed-tube approach for Pasteurellaceae species identification for health monitoring of laboratory mice.

Indexed as

Animal HusbandryHousing, AnimalAnimalsDNA, BacterialMicePasteurellaceaeReal-Time Polymerase Chain ReactionRNA, Ribosomal, 16SRodent DiseasesDNA, BacterialRNA, Ribosomal, 16S

Identifiers

PMID26556281
PMCPMC4640598

What OpenQuestion holds

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LicenceCC BY
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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.