Evidence map›Paper›PMID 41018969›Full record

ArticleFrontiers in veterinary science2025

Pilot study on the population genetics structure of

Sophy Nukeri, Mokgadi P Malatji, Clearance M Mnisi, Mamohale Chaisi, Samson Mukaratirwa

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Article in Frontiers in veterinary science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Sophy NukeriSchool of Life Science, College of Agriculture, Engineering and Science, University of KwaZulu-Natal, Durban, South Africa.
Mokgadi P MalatjiSchool of Life Science, College of Agriculture, Engineering and Science, University of KwaZulu-Natal, Durban, South Africa.
Clearance M MnisiDepartment of Environmental, Water and Earth Sciences, Faculty of Science, Tshwane University of Technology, Pretoria, South Africa.
Mamohale ChaisiResearch and Scientific Services Directorate, National Zoological Garden, South African National Biodiversity Institute, Pretoria, South Africa.
Samson MukaratirwaSchool of Life Science, College of Agriculture, Engineering and Science, University of KwaZulu-Natal, Durban, South Africa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Fasciolosis is a neglected tropical disease caused by Methods: Liver flukes were collected from 57 cattle from 13 provincial abattoirs across South Africa, and DNA was extracted from 189 Results: A total of 277 alleles were identified across loci, with allelic richness varying by province. All loci were polymorphic, and the mean number of alleles varied from 3.667 to 9.667. Moreover, out of the total number of alleles identified, 3% were private alleles. Observed heterozygosity (Ho) ranged from 0.182 to 1.000, while the expected heterozygosity (He) ranged from 0.165 to 0.899. These ranges suggest differences in genetic diversity and potential inbreeding or population structure across the samples studied. The fixation index (F) value ranged from -0.017 to 0.426. F Conclusion: The Ho and He indicated moderate genetic diversity within populations, while the

Indexed as

cattleFasciola hepaticagenetic diversitymicrosatellitespopulation structuringSouth Africa

Identifiers

PMID41018969
PMCPMC12461863

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