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Identifying Selection Signatures for Backfat Thickness in Yorkshire Pigs Highlights New Regions Affecting Fat Metabolism
Identifying the genetic basis of improvement in pigs contributes to our understanding of the role of artificial selection in shaping the genome. Here we employed the Cross Population Extended Haplotype Homozogysity (XPEHH) and the Wright’s fixation index (F(ST)) methods to detect trait-specific sele...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6523431/ https://www.ncbi.nlm.nih.gov/pubmed/30925743 http://dx.doi.org/10.3390/genes10040254 |
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author | Ma, Haoran Zhang, Saixian Zhang, Kaili Zhan, Huiwen Peng, Xia Xie, Shengsong Li, Xinyun Zhao, Shuhong Ma, Yunlong |
author_facet | Ma, Haoran Zhang, Saixian Zhang, Kaili Zhan, Huiwen Peng, Xia Xie, Shengsong Li, Xinyun Zhao, Shuhong Ma, Yunlong |
author_sort | Ma, Haoran |
collection | PubMed |
description | Identifying the genetic basis of improvement in pigs contributes to our understanding of the role of artificial selection in shaping the genome. Here we employed the Cross Population Extended Haplotype Homozogysity (XPEHH) and the Wright’s fixation index (F(ST)) methods to detect trait-specific selection signatures by making phenotypic gradient differential population pairs, and then attempted to map functional genes of six backfat thickness traits in Yorkshire pigs. The results indicate that a total of 283 and 466 single nucleotide polymorphisms (SNPs) were identified as trait-specific selection signatures using F(ST) and XPEHH, respectively. Functional annotation suggested that the genes overlapping with the trait-specific selection signatures such as OSBPL8, ASAH2, SMCO2, GBE1, and ABL1 are responsible for the phenotypes including fat metabolism, lean body mass and fat deposition, and transport in mouse. Overall, the study developed the methods of gene mapping on the basis of identification of selection signatures. The candidate genes putatively associated with backfat thickness traits can provide important references and fundamental information for future pig-breeding programs. |
format | Online Article Text |
id | pubmed-6523431 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-65234312019-06-03 Identifying Selection Signatures for Backfat Thickness in Yorkshire Pigs Highlights New Regions Affecting Fat Metabolism Ma, Haoran Zhang, Saixian Zhang, Kaili Zhan, Huiwen Peng, Xia Xie, Shengsong Li, Xinyun Zhao, Shuhong Ma, Yunlong Genes (Basel) Article Identifying the genetic basis of improvement in pigs contributes to our understanding of the role of artificial selection in shaping the genome. Here we employed the Cross Population Extended Haplotype Homozogysity (XPEHH) and the Wright’s fixation index (F(ST)) methods to detect trait-specific selection signatures by making phenotypic gradient differential population pairs, and then attempted to map functional genes of six backfat thickness traits in Yorkshire pigs. The results indicate that a total of 283 and 466 single nucleotide polymorphisms (SNPs) were identified as trait-specific selection signatures using F(ST) and XPEHH, respectively. Functional annotation suggested that the genes overlapping with the trait-specific selection signatures such as OSBPL8, ASAH2, SMCO2, GBE1, and ABL1 are responsible for the phenotypes including fat metabolism, lean body mass and fat deposition, and transport in mouse. Overall, the study developed the methods of gene mapping on the basis of identification of selection signatures. The candidate genes putatively associated with backfat thickness traits can provide important references and fundamental information for future pig-breeding programs. MDPI 2019-03-28 /pmc/articles/PMC6523431/ /pubmed/30925743 http://dx.doi.org/10.3390/genes10040254 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Ma, Haoran Zhang, Saixian Zhang, Kaili Zhan, Huiwen Peng, Xia Xie, Shengsong Li, Xinyun Zhao, Shuhong Ma, Yunlong Identifying Selection Signatures for Backfat Thickness in Yorkshire Pigs Highlights New Regions Affecting Fat Metabolism |
title | Identifying Selection Signatures for Backfat Thickness in Yorkshire Pigs Highlights New Regions Affecting Fat Metabolism |
title_full | Identifying Selection Signatures for Backfat Thickness in Yorkshire Pigs Highlights New Regions Affecting Fat Metabolism |
title_fullStr | Identifying Selection Signatures for Backfat Thickness in Yorkshire Pigs Highlights New Regions Affecting Fat Metabolism |
title_full_unstemmed | Identifying Selection Signatures for Backfat Thickness in Yorkshire Pigs Highlights New Regions Affecting Fat Metabolism |
title_short | Identifying Selection Signatures for Backfat Thickness in Yorkshire Pigs Highlights New Regions Affecting Fat Metabolism |
title_sort | identifying selection signatures for backfat thickness in yorkshire pigs highlights new regions affecting fat metabolism |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6523431/ https://www.ncbi.nlm.nih.gov/pubmed/30925743 http://dx.doi.org/10.3390/genes10040254 |
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