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

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 variati...

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Autores principales: Gurgul, Artur, Jasielczuk, Igor, Semik-Gurgul, Ewelina, Pawlina-Tyszko, Klaudia, Stefaniuk-Szmukier, Monika, Szmatoła, Tomasz, Polak, Grażyna, Tomczyk-Wrona, Iwona, Bugno-Poniewierska, Monika
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6353161/
https://www.ncbi.nlm.nih.gov/pubmed/30699152
http://dx.doi.org/10.1371/journal.pone.0210751
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author Gurgul, Artur
Jasielczuk, Igor
Semik-Gurgul, Ewelina
Pawlina-Tyszko, Klaudia
Stefaniuk-Szmukier, Monika
Szmatoła, Tomasz
Polak, Grażyna
Tomczyk-Wrona, Iwona
Bugno-Poniewierska, Monika
author_facet Gurgul, Artur
Jasielczuk, Igor
Semik-Gurgul, Ewelina
Pawlina-Tyszko, Klaudia
Stefaniuk-Szmukier, Monika
Szmatoła, Tomasz
Polak, Grażyna
Tomczyk-Wrona, Iwona
Bugno-Poniewierska, Monika
author_sort Gurgul, Artur
collection PubMed
description 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 (F(ST)) 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 F(ST)-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. F(ST)-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.
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spelling pubmed-63531612019-02-15 A genome-wide scan for diversifying selection signatures in selected horse breeds Gurgul, Artur Jasielczuk, Igor Semik-Gurgul, Ewelina Pawlina-Tyszko, Klaudia Stefaniuk-Szmukier, Monika Szmatoła, Tomasz Polak, Grażyna Tomczyk-Wrona, Iwona Bugno-Poniewierska, Monika PLoS One Research Article 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 (F(ST)) 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 F(ST)-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. F(ST)-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. Public Library of Science 2019-01-30 /pmc/articles/PMC6353161/ /pubmed/30699152 http://dx.doi.org/10.1371/journal.pone.0210751 Text en © 2019 Gurgul et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Gurgul, Artur
Jasielczuk, Igor
Semik-Gurgul, Ewelina
Pawlina-Tyszko, Klaudia
Stefaniuk-Szmukier, Monika
Szmatoła, Tomasz
Polak, Grażyna
Tomczyk-Wrona, Iwona
Bugno-Poniewierska, Monika
A genome-wide scan for diversifying selection signatures in selected horse breeds
title A genome-wide scan for diversifying selection signatures in selected horse breeds
title_full A genome-wide scan for diversifying selection signatures in selected horse breeds
title_fullStr A genome-wide scan for diversifying selection signatures in selected horse breeds
title_full_unstemmed A genome-wide scan for diversifying selection signatures in selected horse breeds
title_short A genome-wide scan for diversifying selection signatures in selected horse breeds
title_sort genome-wide scan for diversifying selection signatures in selected horse breeds
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6353161/
https://www.ncbi.nlm.nih.gov/pubmed/30699152
http://dx.doi.org/10.1371/journal.pone.0210751
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