Evidence map›Paper›PMID 26987313›Full record

ArticleBMC microbiology2016

Genotyping bacterial and fungal pathogens using sequence variation in the gene for the CCA-adding enzyme.

Paul Franz, Heike Betat, Mario Mörl

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in BMC microbiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 30% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Divergent Evolution of Eukaryotic CC- and A-Adding Enzymes.International journal of molecular sciences · 2020
    Article
  2. [Pathogen analysis in patients with diabetic foot osteomyelitis using 16S rRNA high-throughput sequencing].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2017
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Paul FranzInstitute for Biochemistry, Leipzig University, Brüderstr. 34, 04103, Leipzig, Germany.
Heike BetatInstitute for Biochemistry, Leipzig University, Brüderstr. 34, 04103, Leipzig, Germany.
Mario MörlInstitute for Biochemistry, Leipzig University, Brüderstr. 34, 04103, Leipzig, Germany. mario.moerl@uni-leipzig.de.
Leipzig University · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo allow an immediate treatment of an infection with suitable antibiotics and bactericides or fungicides, there is an urgent need for fast and precise identification of the causative human pathogens. Methods based on DNA sequence comparison like 16S rRNA analysis have become standard tools for pathogen verification. However, the distinction of closely related organisms remains a challenging task. To overcome such limitations, we identified a new genomic target sequence located in the single copy gene for tRNA nucleotidyltransferase fulfilling the requirements for a ubiquitous, yet highly specific DNA marker. In the present study, we demonstrate that this sequence marker has a higher discriminating potential than commonly used genotyping markers in pro- as well as eukaryotes, underscoring its applicability as an excellent diagnostic tool in infectology.

resultsBased on phylogenetic analyses, a region within the gene for tRNA nucleotidyltransferase (CCA-adding enzyme) was identified as highly heterogeneous. As prominent examples for pro- and eukaryotic pathogens, several Vibrio and Aspergillus species were used for genotyping and identification in a multiplex PCR approach followed by gel electrophoresis and fluorescence-based product detection. Compared to rRNA analysis, the selected gene region of the tRNA nucleotidyltransferase revealed a seven to 30-fold higher distinction potential between closely related Vibrio or Aspergillus species, respectively. The obtained data exhibit a superb genome specificity in the diagnostic analysis. Even in the presence of a 1,000-fold excess of human genomic DNA, no unspecific amplicons were produced.

conclusionsThese results indicate that a relatively short segment of the coding region for tRNA nucleotidyltransferase has a higher discriminatory potential than most established diagnostic DNA markers. Besides identifying microbial pathogens in infections, further possible applications of this new marker are food hygiene controls or metagenome analyses.

Indexed as

AspergillusBacterial InfectionsBacterial ProteinsFungal ProteinsGenetic VariationGenotypeHumansMolecular Sequence DataMycosesPhylogenyRNA NucleotidyltransferasesSequence AlignmentVibrioBacterial ProteinsFungal ProteinsRNA NucleotidyltransferasestRNA nucleotidyltransferaseCCA-adding enzymeGenotypingInfectious diseasesPathogen detectionSequence analysistRNA nucleotidyltransferase

Identifiers

PMID26987313
PMCPMC4797355
OpenAlexW4243495104

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.