Cargando…

Genome-wide analysis of porcine backfat and intramuscular fat fatty acid composition using high-density genotyping and expression data

BACKGROUND: Porcine fatty acid composition is a key factor for quality and nutritive value of pork. Several QTLs for fatty acid composition have been reported in diverse fat tissues. The results obtained so far seem to point out different genetic control of fatty acid composition conditional on the...

Descripción completa

Detalles Bibliográficos
Autores principales: Muñoz, María, Rodríguez, M Carmen, Alves, Estefânia, Folch, Josep María, Ibañez-Escriche, Noelia, Silió, Luis, Fernández, Ana Isabel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4046688/
https://www.ncbi.nlm.nih.gov/pubmed/24295214
http://dx.doi.org/10.1186/1471-2164-14-845
_version_ 1782480299558436864
author Muñoz, María
Rodríguez, M Carmen
Alves, Estefânia
Folch, Josep María
Ibañez-Escriche, Noelia
Silió, Luis
Fernández, Ana Isabel
author_facet Muñoz, María
Rodríguez, M Carmen
Alves, Estefânia
Folch, Josep María
Ibañez-Escriche, Noelia
Silió, Luis
Fernández, Ana Isabel
author_sort Muñoz, María
collection PubMed
description BACKGROUND: Porcine fatty acid composition is a key factor for quality and nutritive value of pork. Several QTLs for fatty acid composition have been reported in diverse fat tissues. The results obtained so far seem to point out different genetic control of fatty acid composition conditional on the fat deposits. Those studies have been conducted using simple approaches and most of them focused on one single tissue. The first objective of the present study was to identify tissue-specific and tissue-consistent QTLs for fatty acid composition in backfat and intramuscular fat, combining linkage mapping and GWAS approaches and conducted under single and multitrait models. A second aim was to identify powerful candidate genes for these tissue-consistent QTLs, using microarray gene expression data and following a targeted genetical genomics approach. RESULTS: The single model analyses, linkage and GWAS, revealed over 30 and 20 chromosomal regions, 24 of them identified here for the first time, specifically associated to the content of diverse fatty acids in BF and IMF, respectively. The analyses with multitrait models allowed identifying for the first time with a formal statistical approach seven different regions with pleiotropic effects on particular fatty acids in both fat deposits. The most relevant were found on SSC8 for C16:0 and C16:1(n-7) fatty acids, detected by both linkage and GWAS approaches. Other detected pleiotropic regions included one on SSC1 for C16:0, two on SSC4 for C16:0 and C18:2, one on SSC11 for C20:3 and the last one on SSC17 for C16:0. Finally, a targeted eQTL scan focused on regions showing tissue-consistent effects was conducted with Longissimus and fat gene expression data. Some powerful candidate genes and regions were identified such as the PBX1, RGS4, TRIB3 and a transcription regulatory element close to ELOVL6 gene to be further studied. CONCLUSIONS: Complementary genome scans have confirmed several chromosome regions previously associated to fatty acid composition in backfat and intramuscular fat, but even more, to identify new ones. Although most of the detected regions were tissue-specific, supporting the hypothesis that the major part of genes affecting fatty acid composition differs among tissues, seven chromosomal regions showed tissue-consistent effects. Additional gene expression analyses have revealed powerful target regions to carry the mutation responsible for the pleiotropic effects. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/1471-2164-14-845) contains supplementary material, which is available to authorized users.
format Online
Article
Text
id pubmed-4046688
institution National Center for Biotechnology Information
language English
publishDate 2013
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-40466882014-06-06 Genome-wide analysis of porcine backfat and intramuscular fat fatty acid composition using high-density genotyping and expression data Muñoz, María Rodríguez, M Carmen Alves, Estefânia Folch, Josep María Ibañez-Escriche, Noelia Silió, Luis Fernández, Ana Isabel BMC Genomics Research Article BACKGROUND: Porcine fatty acid composition is a key factor for quality and nutritive value of pork. Several QTLs for fatty acid composition have been reported in diverse fat tissues. The results obtained so far seem to point out different genetic control of fatty acid composition conditional on the fat deposits. Those studies have been conducted using simple approaches and most of them focused on one single tissue. The first objective of the present study was to identify tissue-specific and tissue-consistent QTLs for fatty acid composition in backfat and intramuscular fat, combining linkage mapping and GWAS approaches and conducted under single and multitrait models. A second aim was to identify powerful candidate genes for these tissue-consistent QTLs, using microarray gene expression data and following a targeted genetical genomics approach. RESULTS: The single model analyses, linkage and GWAS, revealed over 30 and 20 chromosomal regions, 24 of them identified here for the first time, specifically associated to the content of diverse fatty acids in BF and IMF, respectively. The analyses with multitrait models allowed identifying for the first time with a formal statistical approach seven different regions with pleiotropic effects on particular fatty acids in both fat deposits. The most relevant were found on SSC8 for C16:0 and C16:1(n-7) fatty acids, detected by both linkage and GWAS approaches. Other detected pleiotropic regions included one on SSC1 for C16:0, two on SSC4 for C16:0 and C18:2, one on SSC11 for C20:3 and the last one on SSC17 for C16:0. Finally, a targeted eQTL scan focused on regions showing tissue-consistent effects was conducted with Longissimus and fat gene expression data. Some powerful candidate genes and regions were identified such as the PBX1, RGS4, TRIB3 and a transcription regulatory element close to ELOVL6 gene to be further studied. CONCLUSIONS: Complementary genome scans have confirmed several chromosome regions previously associated to fatty acid composition in backfat and intramuscular fat, but even more, to identify new ones. Although most of the detected regions were tissue-specific, supporting the hypothesis that the major part of genes affecting fatty acid composition differs among tissues, seven chromosomal regions showed tissue-consistent effects. Additional gene expression analyses have revealed powerful target regions to carry the mutation responsible for the pleiotropic effects. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/1471-2164-14-845) contains supplementary material, which is available to authorized users. BioMed Central 2013-12-02 /pmc/articles/PMC4046688/ /pubmed/24295214 http://dx.doi.org/10.1186/1471-2164-14-845 Text en © Muñoz et al.; licensee BioMed Central Ltd. 2013 This article is published under license to BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Muñoz, María
Rodríguez, M Carmen
Alves, Estefânia
Folch, Josep María
Ibañez-Escriche, Noelia
Silió, Luis
Fernández, Ana Isabel
Genome-wide analysis of porcine backfat and intramuscular fat fatty acid composition using high-density genotyping and expression data
title Genome-wide analysis of porcine backfat and intramuscular fat fatty acid composition using high-density genotyping and expression data
title_full Genome-wide analysis of porcine backfat and intramuscular fat fatty acid composition using high-density genotyping and expression data
title_fullStr Genome-wide analysis of porcine backfat and intramuscular fat fatty acid composition using high-density genotyping and expression data
title_full_unstemmed Genome-wide analysis of porcine backfat and intramuscular fat fatty acid composition using high-density genotyping and expression data
title_short Genome-wide analysis of porcine backfat and intramuscular fat fatty acid composition using high-density genotyping and expression data
title_sort genome-wide analysis of porcine backfat and intramuscular fat fatty acid composition using high-density genotyping and expression data
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4046688/
https://www.ncbi.nlm.nih.gov/pubmed/24295214
http://dx.doi.org/10.1186/1471-2164-14-845
work_keys_str_mv AT munozmaria genomewideanalysisofporcinebackfatandintramuscularfatfattyacidcompositionusinghighdensitygenotypingandexpressiondata
AT rodriguezmcarmen genomewideanalysisofporcinebackfatandintramuscularfatfattyacidcompositionusinghighdensitygenotypingandexpressiondata
AT alvesestefania genomewideanalysisofporcinebackfatandintramuscularfatfattyacidcompositionusinghighdensitygenotypingandexpressiondata
AT folchjosepmaria genomewideanalysisofporcinebackfatandintramuscularfatfattyacidcompositionusinghighdensitygenotypingandexpressiondata
AT ibanezescrichenoelia genomewideanalysisofporcinebackfatandintramuscularfatfattyacidcompositionusinghighdensitygenotypingandexpressiondata
AT silioluis genomewideanalysisofporcinebackfatandintramuscularfatfattyacidcompositionusinghighdensitygenotypingandexpressiondata
AT fernandezanaisabel genomewideanalysisofporcinebackfatandintramuscularfatfattyacidcompositionusinghighdensitygenotypingandexpressiondata