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

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

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dc.contributor.author Muñoz, M. es_ES
dc.contributor.author Rodríguez, M. C. es_ES
dc.contributor.author Alves, E. es_ES
dc.contributor.author Folch, J.M. es_ES
dc.contributor.author Ibañez Escriche, Noelia es_ES
dc.contributor.author Silió, L. es_ES
dc.contributor.author Fernández, A.I. es_ES
dc.date.accessioned 2020-10-07T03:35:07Z
dc.date.available 2020-10-07T03:35:07Z
dc.date.issued 2013-12-02 es_ES
dc.identifier.issn 1471-2164 es_ES
dc.identifier.uri http://hdl.handle.net/10251/151309
dc.description.abstract [EN] 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. es_ES
dc.description.sponsorship This work was funded by the MICINN project AGL2011-29821-C02 (Ministerio de Economia y Competitividad). We thank to Fabian Garcia, Anna Mercade and Carmen Barragan for their assistance in DNA preparation and SNP genotyping. es_ES
dc.language Inglés es_ES
dc.publisher Springer (Biomed Central Ltd.) es_ES
dc.relation.ispartof BMC Genomics es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject Fatty acid composition es_ES
dc.subject Pleiotropic effects es_ES
dc.subject QTL scan es_ES
dc.subject EQTL es_ES
dc.subject.classification PRODUCCION ANIMAL es_ES
dc.title Genome-wide analysis of porcine backfat and intramuscular fat fatty acid composition using high-density genotyping and expression data es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1186/1471-2164-14-845 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MICINN//AGL2011-29821-C02-02/ES/APLICACION DE METODOS DE SECUENCIACION PARALELA MASIVA Y GENOMICA AL ESTUDIO DE VARIANTES GENICAS QUE REGULAN:CRECIMIENTO,CONFORMACION Y CALIDAD DE CARNE EN CERDO.SUBPROYECTO2/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Ciencia Animal - Departament de Ciència Animal es_ES
dc.description.bibliographicCitation Muñoz, M.; Rodríguez, MC.; Alves, E.; Folch, J.; Ibañez Escriche, N.; Silió, L.; Fernández, A. (2013). Genome-wide analysis of porcine backfat and intramuscular fat fatty acid composition using high-density genotyping and expression data. BMC Genomics. 14. https://doi.org/10.1186/1471-2164-14-845 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1186/1471-2164-14-845 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 14 es_ES
dc.identifier.pmid 24295214 es_ES
dc.relation.pasarela S\343536 es_ES
dc.contributor.funder Ministerio de Ciencia e Innovación es_ES
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