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ArticleActa parasitologica2024

New Haplotypes of Blastocystis sp. Identified in Faeces from Various Animal Groups in Algeria.

Asma Guilane, Ikram Haleche, Fadila Tazerouti, Hocine Ziam, Tahar Kernif, Amina Boutellis

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Article in Acta parasitologica, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
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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.

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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

6 authors.

Asma GuilaneLaboratory of Biodiversity and Environment: Interactions, Genome, Biology Faculty, University of Science and Technology Houari Boumediene, Algiers, Algeria.
Ikram HalecheLaboratory of Parasitic Eco-Epidemiology and Population Genetics, Pasteur Institute of Algeria, Dely-Brahim, 16000, Algiers, Algeria.
Fadila TazeroutiLaboratory of Biodiversity and Environment: Interactions, Genome, Biology Faculty, University of Science and Technology Houari Boumediene, Algiers, Algeria.
Hocine ZiamLaboratory of Biotechnology, Environment and Health, University of Blida 1, Blida, Algeria.
Tahar KernifLaboratory of Parasitic Eco-Epidemiology and Population Genetics, Pasteur Institute of Algeria, Dely-Brahim, 16000, Algiers, Algeria.
Amina BoutellisLaboratory of Biodiversity and Environment: Interactions, Genome, Biology Faculty, University of Science and Technology Houari Boumediene, Algiers, Algeria. amina.boutell@yahoo.fr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeBlastocystis sp. is a single-celled, anaerobic, parasitic protozoan commonly found in the intestinal tract of animals and humans globally. Genetic analysis has revealed significant diversity within its species, leading to the identification of at least 40 subtypes (ST1-ST40). This study aimed to identify and differentiate Blastocystis in faeces samples from various animal hosts in Algeria.

methodsA total of 403 fecal samples, collected from both domestic and zoo animals, were subjected to PCR amplification and sequencing of Blastocystis-specific small subunit ribosomal RNA (SSU-RNA) gene.

resultsThe overall prevalence of Blastocystis in animals was found to be 38.9%. Through comprehensive phylogenetic and phylogeographic analyses, we identified four distinct subtypes (ST1 in both domestic and zoo animals, and ST3, ST4, and ST5 exclusively in zoo animals), encompassing nine different haplotypes, including five that appear original to Algeria.

conclusionThis study represents the first epidemiological molecular investigation of Blastocystis sp. in animals in Algeria.

Indexed as

Animals, ZooBlastocystisBlastocystis InfectionsFecesHaplotypesPhylogenyAlgeriaAnimalsAnimals, DomesticDNA, ProtozoanPhylogeographyPrevalenceDNA, ProtozoanAlgeriaAnimalsBlastocystis sp.HaplotypesIntestinal parasitesSubtypes

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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.