Survey of SSC12 regions affecting fatty acid composition of intramuscular fat using high-density SNP data

Fatty acid composition is a critical aspect of pork because it affects sensorial and technological aspects of meat quality and it is relevant for human health. Previous studies identified significant QTLs in porcine chromosome 12 for fatty acid profile of back fat (BF) and intramuscular fat (IMF). In the present study, 374 SNPs mapped in SSC12 from the 60K Porcine SNP Beadchip were used. We have combined linkage and association analyses with expression data analysis in order to identify regions of SSC12 that could affect fatty acid composition of IMF in longissimus muscle. The QTL scan showed a region around the 60-cM position that significantly affects palmitic fatty acid and two related fatty acid indexes. The Iberian QTL allele increased the palmitic content (+2.6% of mean trait). This QTL does not match any of those reported in the previous study on fatty acid composition of BF, suggesting different genetic control acting at both tissues. The SNP association analyses showed significant associations with linolenic and palmitic acids besides several indexes. Among the polymorphisms that affect palmitic fatty acid and match the QTL region at 60 cM, there were three that mapped in the Phosphatidylcholine transfer protein (PCTP) gene and one in the Acetyl-CoA Carboxylase α gene (ACACA). Interestingly one of the PCTP SNPs also affected significantly unsaturated and double bound indexes and the ratio between polyunsaturated/monounsaturated fatty acids. Differential expression was assessed on longissimus muscle conditional on the genotype of the QTL and on the most significant SNPs, according to the results obtained in the former analyses. Results from the microarray expression analyses, validated by RT-qPCR, showed that PCTP expression levels significantly vary depending on the QTL as well as on the own PCTP genotype. The results obtained with the different approaches point out the PCTP gene as a powerful candidate underlying the QTL for palmitic content. © 2012 Muñoz, Alves, Corominas, Folch, Casellas, Noguera, Silió and Fernández.

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Main Authors: Muñoz, M., Alves, E., Corominas, J., Folch, J. M., Casellas, J., Noguera, J. L., Silió, L., Fernández, A. I.
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Language:eng
Published: 2012
Online Access:http://hdl.handle.net/20.500.12792/3057
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spelling dig-inia-es-20.500.12792-30572020-12-15T09:47:56Z Survey of SSC12 regions affecting fatty acid composition of intramuscular fat using high-density SNP data Muñoz, M. Alves, E. Corominas, J. Folch, J. M. Casellas, J. Noguera, J. L. Silió, L. Fernández, A. I. Fatty acid composition is a critical aspect of pork because it affects sensorial and technological aspects of meat quality and it is relevant for human health. Previous studies identified significant QTLs in porcine chromosome 12 for fatty acid profile of back fat (BF) and intramuscular fat (IMF). In the present study, 374 SNPs mapped in SSC12 from the 60K Porcine SNP Beadchip were used. We have combined linkage and association analyses with expression data analysis in order to identify regions of SSC12 that could affect fatty acid composition of IMF in longissimus muscle. The QTL scan showed a region around the 60-cM position that significantly affects palmitic fatty acid and two related fatty acid indexes. The Iberian QTL allele increased the palmitic content (+2.6% of mean trait). This QTL does not match any of those reported in the previous study on fatty acid composition of BF, suggesting different genetic control acting at both tissues. The SNP association analyses showed significant associations with linolenic and palmitic acids besides several indexes. Among the polymorphisms that affect palmitic fatty acid and match the QTL region at 60 cM, there were three that mapped in the Phosphatidylcholine transfer protein (PCTP) gene and one in the Acetyl-CoA Carboxylase α gene (ACACA). Interestingly one of the PCTP SNPs also affected significantly unsaturated and double bound indexes and the ratio between polyunsaturated/monounsaturated fatty acids. Differential expression was assessed on longissimus muscle conditional on the genotype of the QTL and on the most significant SNPs, according to the results obtained in the former analyses. Results from the microarray expression analyses, validated by RT-qPCR, showed that PCTP expression levels significantly vary depending on the QTL as well as on the own PCTP genotype. The results obtained with the different approaches point out the PCTP gene as a powerful candidate underlying the QTL for palmitic content. © 2012 Muñoz, Alves, Corominas, Folch, Casellas, Noguera, Silió and Fernández. 2020-10-22T13:57:23Z 2020-10-22T13:57:23Z 2012 journal article http://hdl.handle.net/20.500.12792/3057 10.3389/fgene.2011.00101 eng Attribution-NonCommercial-ShareAlike 4.0 International http://creativecommons.org/licenses/by-nc-sa/4.0/ open access
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description Fatty acid composition is a critical aspect of pork because it affects sensorial and technological aspects of meat quality and it is relevant for human health. Previous studies identified significant QTLs in porcine chromosome 12 for fatty acid profile of back fat (BF) and intramuscular fat (IMF). In the present study, 374 SNPs mapped in SSC12 from the 60K Porcine SNP Beadchip were used. We have combined linkage and association analyses with expression data analysis in order to identify regions of SSC12 that could affect fatty acid composition of IMF in longissimus muscle. The QTL scan showed a region around the 60-cM position that significantly affects palmitic fatty acid and two related fatty acid indexes. The Iberian QTL allele increased the palmitic content (+2.6% of mean trait). This QTL does not match any of those reported in the previous study on fatty acid composition of BF, suggesting different genetic control acting at both tissues. The SNP association analyses showed significant associations with linolenic and palmitic acids besides several indexes. Among the polymorphisms that affect palmitic fatty acid and match the QTL region at 60 cM, there were three that mapped in the Phosphatidylcholine transfer protein (PCTP) gene and one in the Acetyl-CoA Carboxylase α gene (ACACA). Interestingly one of the PCTP SNPs also affected significantly unsaturated and double bound indexes and the ratio between polyunsaturated/monounsaturated fatty acids. Differential expression was assessed on longissimus muscle conditional on the genotype of the QTL and on the most significant SNPs, according to the results obtained in the former analyses. Results from the microarray expression analyses, validated by RT-qPCR, showed that PCTP expression levels significantly vary depending on the QTL as well as on the own PCTP genotype. The results obtained with the different approaches point out the PCTP gene as a powerful candidate underlying the QTL for palmitic content. © 2012 Muñoz, Alves, Corominas, Folch, Casellas, Noguera, Silió and Fernández.
format journal article
author Muñoz, M.
Alves, E.
Corominas, J.
Folch, J. M.
Casellas, J.
Noguera, J. L.
Silió, L.
Fernández, A. I.
spellingShingle Muñoz, M.
Alves, E.
Corominas, J.
Folch, J. M.
Casellas, J.
Noguera, J. L.
Silió, L.
Fernández, A. I.
Survey of SSC12 regions affecting fatty acid composition of intramuscular fat using high-density SNP data
author_facet Muñoz, M.
Alves, E.
Corominas, J.
Folch, J. M.
Casellas, J.
Noguera, J. L.
Silió, L.
Fernández, A. I.
author_sort Muñoz, M.
title Survey of SSC12 regions affecting fatty acid composition of intramuscular fat using high-density SNP data
title_short Survey of SSC12 regions affecting fatty acid composition of intramuscular fat using high-density SNP data
title_full Survey of SSC12 regions affecting fatty acid composition of intramuscular fat using high-density SNP data
title_fullStr Survey of SSC12 regions affecting fatty acid composition of intramuscular fat using high-density SNP data
title_full_unstemmed Survey of SSC12 regions affecting fatty acid composition of intramuscular fat using high-density SNP data
title_sort survey of ssc12 regions affecting fatty acid composition of intramuscular fat using high-density snp data
publishDate 2012
url http://hdl.handle.net/20.500.12792/3057
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