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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...

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Autores principales: Ma, Haoran, Zhang, Saixian, Zhang, Kaili, Zhan, Huiwen, Peng, Xia, Xie, Shengsong, Li, Xinyun, Zhao, Shuhong, Ma, Yunlong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
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.
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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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