Evidence map›Paper›PMID 24859370›Full record

ArticleMicrobes and environments2014

Microsatellite-primed PCR for intra-species genetic relatedness in Trichophyton ajelloi strains isolated in poland from various soil samples.

Anita Ciesielska, Justyna Bohacz, Teresa Korniłłowicz-Kowalska, Paweł Stączek

Open access · bronzeAbstract read
In one paragraph

Article in Microbes and environments, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact, top 93% 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. Optimization of Conditions for Feather Waste Biodegradation by GeophilicInternational journal of environmental research and public health · 2022
    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

4 authors at 2 institutions in 1 country.

Anita CiesielskaUniversity of Łódź, Department of Microbial Genetics.
Justyna Bohacz
Teresa Korniłłowicz-Kowalska
Paweł Stączek
University of Life Sciences in Lublin · PLUniversity of Łódź · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Trichophyton ajelloi is a geophilic dermatophyte that specializes in the decomposition of native keratin. It exists in soil with a permanent influx of keratin matter. In the present study, two PCR-based methods were used for the identification and intra-species differentiation of T. ajelloi strains isolated from 3 types of soils with different physicochemical properties. The first method, employed for molecular identification, was PCR amplification of the 5.8S rRNA gene and its flanking regions encoding internal transcribed spacers (ITSs), followed by restriction enzyme digestion using endonuclease HinfI. The second method, employed for molecular differentiation, was microsatellite-primed PCR (MSP-PCR) using the repetitive oligonucleotide (GACA)4. All the T. ajelloi strains were also identified using a traditional culture method. Our results showed that molecular identification using the PCR-restriction fragment length polymorphism (PCR-RFLP) method agreed with the identification made using the traditional approach. On the other hand, PCR-RFLP results showed no strain differentiation, while MSP-PCR using the (GACA)4 primer identified different varieties among the T. ajelloi strains. The reasons for the intra-species differentiation of T. ajelloi have been discussed.

Indexed as

Soil MicrobiologyDNA, FungalDNA PrimersDNA, Ribosomal SpacerMicrosatellite RepeatsPolandPolymerase Chain ReactionPolymorphism, Restriction Fragment LengthSoilTrichophytonDNA, FungalDNA PrimersDNA, Ribosomal SpacerSoil

Identifiers

PMID24859370
PMCPMC4103524
OpenAlexW1971984066

What OpenQuestion holds

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LicenceCC BY
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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.