Evidence map›Paper›PMID 30699152›Full record

ArticlePloS one2019

A genome-wide scan for diversifying selection signatures in selected horse breeds.

Artur Gurgul, Igor Jasielczuk, Ewelina Semik-Gurgul, Klaudia Pawlina-Tyszko, Monika Stefaniuk-Szmukier, Tomasz Szmatoła, Grażyna Polak, Iwona Tomczyk-Wrona, Monika Bugno-Poniewierska

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed
9.0field-weighted citation impact, top 2% 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

45 citing papers in PubMed, 114 citations in OpenAlex.

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  12. Genomic Insights into Post-Domestication Expansion and Selection of Body Size in Ponies.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
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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

9 authors at 2 institutions in 1 country.

Artur GurgulDepartment of Animal Molecular Biology, National Research Institute of Animal Production, Balice, Poland.ORCID 0000-0001-5979-144X
Igor JasielczukDepartment of Animal Molecular Biology, National Research Institute of Animal Production, Balice, Poland.
Ewelina Semik-GurgulDepartment of Animal Molecular Biology, National Research Institute of Animal Production, Balice, Poland.
Klaudia Pawlina-TyszkoDepartment of Animal Molecular Biology, National Research Institute of Animal Production, Balice, Poland.ORCID 0000-0003-3926-9595
Monika Stefaniuk-SzmukierDepartment of Horse Breeding, University of Agriculture in Kraków, al. Kraków, Poland.ORCID 0000-0003-4158-771X
Tomasz SzmatołaDepartment of Animal Molecular Biology, National Research Institute of Animal Production, Balice, Poland.
Grażyna PolakDepartment of Horse Breeding, National Research Institute of Animal Production, Balice, Poland.
Iwona Tomczyk-WronaDepartment of Horse Breeding, National Research Institute of Animal Production, Balice, Poland.
Monika Bugno-PoniewierskaDepartment of Animal Molecular Biology, National Research Institute of Animal Production, Balice, Poland.
National Research Institute of Animal Production · PLUniversity of Agriculture in Krakow · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The genetic differentiation of the current horse population was evolutionarily created by natural or artificial selection which shaped the genomes of individual breeds in several unique ways. The availability of high throughput genotyping methods created the opportunity to study this genetic variation on a genome-wide level allowing detection of genome regions divergently selected between separate breeds as well as among different horse types sharing similar phenotypic features. In this study, we used the population differentiation index (FST) that is generally used for measuring locus-specific allele frequencies variation between populations, to detect selection signatures among six horse breeds maintained in Poland. These breeds can be classified into three major categories, including light, draft and primitive horses, selected mainly in terms of type (utility), exterior, performance, size, coat color and appearance. The analysis of the most pronounced selection signals found in this study allowed us to detect several genomic regions and genes connected with processes potentially important for breed phenotypic differentiation and associated with energy homeostasis during physical effort, heart functioning, fertility, disease resistance and motor coordination. Our results also confirmed previously described association of loci on ECA3 (spanning LCORL and NCAPG genes) and ECA11 (spanning LASP1 gene) with the regulation of body size in our draft and primitive (small size) horses. The efficiency of the applied FST-based approach was also confirmed by the identification of a robust selection signal in the blue dun colored Polish Konik horses at the locus of TBX3 gene, which was previously shown to be responsible for dun coat color dilution in other horse breeds. FST-based method showed to be efficient in detection of diversifying selection signatures in the analyzed horse breeds. Especially pronounced signals were observed at the loci responsible for fixed breed-specific features. Several candidate genes under selection were proposed in this study for traits selected in separate breeds and horse types, however, further functional and comparative studies are needed to confirm and explain their effect on the observed genetic diversity of the horse breeds.

Indexed as

AnimalsChromosome MappingFemaleGene FrequencyGenetics, PopulationGenetic VariationGenomeHair ColorHorsesMalePhenotypePolandPolymorphism, Single NucleotideSelective Breeding

Identifiers

PMID30699152
PMCPMC6353161
OpenAlexW2912724395

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LicenceCC BY
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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.