Evidence map›Paper›PMID 27035434›Full record

ArticlePloS one2016

Population Structure in Naegleria fowleri as Revealed by Microsatellite Markers.

Bénédicte Coupat-Goutaland, Estelle Régoudis, Matthieu Besseyrias, Angélique Mularoni, Marie Binet, Pascaline Herbelin, Michel Pélandakis

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.2field-weighted citation impact, top 22% 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

4 citing papers in PubMed, 10 citations in OpenAlex.

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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

7 authors at 3 institutions in 1 country.

Bénédicte Coupat-GoutalandUniv Lyon, Université Lyon 1, CNRS UMR 5240 Microbiology Adaptation and Pathogenesis, Villeurbanne, France.
Estelle RégoudisUniv Lyon, Université Lyon 1, CNRS UMR 5240 Microbiology Adaptation and Pathogenesis, Villeurbanne, France.
Matthieu BesseyriasUniv Lyon, Université Lyon 1, Villeurbanne, France.
Angélique MularoniUniv Lyon, Université Lyon 1, ISPB EA 4446 Bioactive Molecules and Medicinal Chemistry, Lyon, France.
Marie BinetEDF Research and Development, Laboratoire National d'Hydraulique et Environnement, Chatou, France.
Pascaline HerbelinEDF Research and Development, Laboratoire National d'Hydraulique et Environnement, Chatou, France.
Michel PélandakisUniv Lyon, Université Lyon 1, CNRS UMR 5240 Microbiology Adaptation and Pathogenesis, Villeurbanne, France.
Université Claude Bernard Lyon 1 · FRLaboratoire de Microbiologie, Adaptation et Pathogénie · FRLaboratoire d'Hydraulique Saint-Venant · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Naegleria sp. is a free living amoeba belonging to the Heterolobosea class. Over 40 species of Naegleria were identified and recovered worldwide in different habitats such as swimming pools, freshwater lakes, soil or dust. Among them, N. fowleri, is a human pathogen responsible for primary amoeboic meningoencephalitis (PAM). Around 300 cases were reported in 40 years worldwide but PAM is a fatal disease of the central nervous system with only 5% survival of infected patients. Since both pathogenic and non pathogenic species were encountered in the environment, detection and dispersal mode are crucial points in the fight against this pathogenic agent. Previous studies on identification and genotyping of N. fowleri strains were focused on RAPD analysis and on ITS sequencing and identified 5 variants: euro-american, south pacific, widespread, cattenom and chooz. Microsatellites are powerful markers in population genetics with broad spectrum of applications (such as paternity test, fingerprinting, genetic mapping or genetic structure analysis). They are characterized by a high degree of length polymorphism. The aim of this study was to genotype N. fowleri strains using microsatellites markers in order to track this population and to better understand its evolution. Six microsatellite loci and 47 strains from different geographical origins were used for this analysis. The microsatellite markers revealed a level of discrimination higher than any other marker used until now, enabling the identification of seven genetic groups, included in the five main genetic groups based on the previous RAPD and ITS analyses. This analysis also allowed us to go further in identifying private alleles highlighting intra-group variability. A better identification of the N. fowleri isolates could be done with this type of analysis and could allow a better tracking of the clinical and environmental N. fowleri strains.

Indexed as

Genetic MarkersMicrosatellite RepeatsNaegleria fowleriRandom Amplified Polymorphic DNA TechniqueGenetic Markers

Identifiers

PMID27035434
PMCPMC4818093
OpenAlexW2323606403

What OpenQuestion holds

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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.