Evidence map›Paper›PMID 35471167›Full record

ArticleBiomedica : revista del Instituto Nacional de Salud2022

Assessment of genotyping markers in the molecular characterization of a population of clinical isolates of Fusarium in Colombia.

Valeria Velásquez-Zapata, Katherine Palacio-Rúa, Luz E Cano, Adelaida Gaviria-Rivera

Open access · diamondAbstract read
In one paragraph

Article in Biomedica : revista del Instituto Nacional de Salud, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 63% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Review
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 3 institutions in 2 countries.

Valeria Velásquez-ZapataProgram in Bioinformatics and Computational Biology, Iowa State University, Ames, IA, USA; Department of Plant Pathology and Microbiology, Iowa State University, Ames, IA, USA. valeria.velasquezz@gmail.com.
Katherine Palacio-RúaLaboratorio Integrado de Medicina Especializada, Facultad de Medicina, IPS Universitaria, Universidad de Antioquia, Medellín, Colombia. kathepalacio@gmail.com.
Luz E CanoGrupo de Micología Médica y Experimental, Corporación para Investigaciones Biológicas, Medellín, Colombia; Escuela de Microbiología, Universidad de Antioquia, Medellín, Colombia. lula.cano@hotmail.com.
Adelaida Gaviria-RiveraEscuela de Biociencias, Facultad de Ciencias, Universidad Nacional de Colombia, Medellín, Colombia. amgavirr@unal.edu.co.
Universidad de Antioquia · COIowa State University · USUniversidad Nacional de Colombia · CO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionFusarium is a very heterogeneous group of fungi, difficult to classify, with a wide range of living styles, acting as saprophytes, parasites of plants, or pathogens for humans and animals. Prevalence of clinical fusariosis and lack of effective treatments have increased the interest in the precise diagnosis, which implies a molecular characterization of Fusarium populations.

objectiveWe compared different genotyping markers in their assessment of the genetic variability and molecular identification of clinical isolates of Fusarium. MATERIALS AND

methodsWe evaluated the performance of the fingerprinting produced by two random primers: M13, which amplifies a minisatellite sequence, and (GACA)4, which corresponds to a simple repetitive DNA sequence. Using the Hunter Gaston Discriminatory Index (HGDI), an analysis of molecular variance (AMOVA), and a Mantel test, the resolution of these markers was compared to the reference sequencing-based and PCR genotyping methods.

resultsThe highest HGDI value was associated with the M13 marker followed by (GACA)4. AMOVA and the Mantel tests supported a strong correlation between the M13 classification and the reference method given by the partial sequencing of the transcription elongation factor 1-alpha (TEF1-α) and rDNA 28S.

conclusionThe strong correlation between the M13 classification and the sequencingbased reference together with its higher resolution demonstrates its adequacy for the characterization of Fusarium populations.

Indexed as

FusariumAnimalsBiomarkersColombiaDNA PrimersGenotypeMicrosatellite RepeatsBiomarkersDNA PrimersColombiaCoronavirus infectionsdisease notificationepidemicsepidemiological monitoringstatistical distributions

Identifiers

PMID35471167
PMCPMC9059811
OpenAlexW3201649205

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.