Evidence map›Paper›PMID 41465863›Full record

ArticleLife (Basel, Switzerland)2025

Genetic Characterization of the Arabian Horse Population in Tunisia Using Microsatellites.

Mariem Jlassi, Iheb Dhifalli, Hatem Ouled Ahmed, Faten Lasfar, Mohamed El Gtari, Bayrem Jemmali

Abstract read
In one paragraph

Article in Life (Basel, Switzerland), 2025. 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
–field-weighted citation impact
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. Article
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.

Mariem JlassiMateur Higher School of Agriculture, University of Carthage, Mateur 7030, Tunisia.ORCID 0000-0002-3090-1673
Iheb DhifalliMateur Higher School of Agriculture, University of Carthage, Mateur 7030, Tunisia.
Hatem Ouled AhmedVeterinary Research Institute of Tunisia, Tunis 1006, Tunisia.ORCID 0000-0002-3740-5867
Faten LasfarNational Foundation for the Improvement of the Horse Breed, Sidi Thabet 2020, Tunisia.
Mohamed El GtariMateur Higher School of Agriculture, University of Carthage, Mateur 7030, Tunisia.ORCID 0000-0002-8223-4446
Bayrem JemmaliMateur Higher School of Agriculture, University of Carthage, Mateur 7030, Tunisia.ORCID 0000-0002-3961-6350

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The genetic diversity and population structure of Tunisian Arabian horses were assessed using highly polymorphic microsatellite markers, which are critical for conservation and breeding programs. Despite the cultural and economic importance of Arabian horses in Tunisia, molecular data supporting their management remain limited. In this study, DNA from 130 horses was genotyped with 17 ISAG-FAO-recommended microsatellites to evaluate diversity within Eastern and Western Arabian lineages and their relationship to Thoroughbreds. Eastern Arabians showed an average of 5.176 alleles per locus, observed heterozygosity of 0.657, expected heterozygosity of 0.677, and a fixation index of 0.028, while Western Arabians displayed 5.941 alleles, heterozygosity values of 0.689 (Ho) and 0.688 (He), and a fixation index of -0.006. Genetic differentiation was low between Eastern and Western Arabians (0.011) but moderate between Eastern Arabians and Thoroughbreds (0.071), with high gene flow within Arabian subpopulations (0.950). Principal component analysis confirmed distinct subpopulations. These findings highlight high genetic diversity in Western Arabians and variable heterozygosity in Eastern Arabians, providing a molecular basis for targeted breeding strategies to preserve genetic traits, control inbreeding, and ensure the long-term sustainability of Tunisian Arabian horse populations.

Indexed as

gene flowgenetic diversityheterozygositymicrosatellitesPCATunisian Arabian horses

Identifiers

PMID41465863
PMCPMC12735056

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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.