Evidence map›Paper›PMID 29940023›Full record

ArticlePloS one2018

Genetic diversity and population structure of African village dogs based on microsatellite and immunity-related molecular markers.

Leona Vychodilova, Michaela Necesankova, Katerina Albrechtova, Jan Hlavac, David Modry, Eva Janova, Mirko Vyskocil, Andrei D Mihalca, Lorna J Kennedy, Petr Horin

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2018. 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
0.2field-weighted citation impact, top 37% 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

10 authors at 3 institutions in 3 countries.

Leona VychodilovaDepartment of Animal Genetics, University of Veterinary and Pharmaceutical Sciences, Brno, Czech Republic.
Michaela NecesankovaDepartment of Animal Genetics, University of Veterinary and Pharmaceutical Sciences, Brno, Czech Republic.
Katerina AlbrechtovaDepartment of Pathology and Parasitology, University of Veterinary and Pharmaceutical Sciences, Brno, Czech Republic.
Jan HlavacDepartment of Pathology and Parasitology, University of Veterinary and Pharmaceutical Sciences, Brno, Czech Republic.
David ModryDepartment of Pathology and Parasitology, University of Veterinary and Pharmaceutical Sciences, Brno, Czech Republic.
Eva JanovaDepartment of Animal Genetics, University of Veterinary and Pharmaceutical Sciences, Brno, Czech Republic.
Mirko VyskocilDepartment of Animal Genetics, University of Veterinary and Pharmaceutical Sciences, Brno, Czech Republic.
Andrei D MihalcaDepartment of Parasitology and Parasitic Diseases, Faculty of Veterinary Medicine, University of Agricultural Sciences and Veterinary Medicine Cluj-Napoca, Cluj-Napoca, Romania.
Lorna J KennedyCentre for Integrated Genomic Medical Research, University of Manchester, Manchester, United Kingdom.
Petr HorinDepartment of Animal Genetics, University of Veterinary and Pharmaceutical Sciences, Brno, Czech Republic.ORCID 0000-0002-5548-4212
University of Veterinary Sciences Brno · CZUniversity of Agricultural Sciences and Veterinary Medicine of Cluj-Napoca · ROUniversity of Manchester · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The village and street dogs represent a unique model of canine populations. In the absence of selective breeding and veterinary care, they are subject mostly to natural selection. Their analyses contribute to understanding general mechanisms governing the genetic diversity, evolution and adaptation. In this study, we analyzed the genetic diversity and population structure of African village dogs living in villages in three different geographical areas in Northern Kenya. Data obtained for neutral microsatellite molecular markers were compared with those computed for potentially non-neutral markers of candidate immunity-related genes. The neutral genetic diversity was similar to other comparable village dog populations studied so far. The overall genetic diversity in microsatellites was higher than the diversity of European pure breeds, but it was similar to the range of diversity observed in a group composed of many European breeds, indicating that the African population has maintained a large proportion of the genetic diversity of the canine species as a whole. Microsatellite marker diversity indicated that the entire population is subdivided into three genetically distinct, although closely related subpopulations. This genetical partitioning corresponded to their geographical separation and the observed gene flow well correlated with the communication patterns among the three localities. In contrast to neutral microsatellites, the genetic diversity in immunity-related candidate SNP markers was similar across all three subpopulations and to the European group. It seems that the genetic structure of this particular population of Kenyan village dogs is mostly determined by geographical and anthropogenic factors influencing the gene flow between various subpopulations rather than by biological factors, such as genetic contribution of original migrating populations and/or the pathogen-mediated selection. On the other hand, the study of oldest surviving dogs suggested a biological mechanism, i.e. a possible advantage of the overal heterozygosity marked by the the microsatellite loci analyzed.

Indexed as

Genetics, PopulationGenetic VariationAnimalsDogsEuropeGenetic LociGenetic MarkersGeographyHaplotypesHeterozygoteImmunityKenyaLakesMajor Histocompatibility ComplexMicrosatellite RepeatsPhenotypeGenetic Markers

Identifiers

PMID29940023
PMCPMC6016929
OpenAlexW2810598659

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Registered trials

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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.