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From SNP co-association to RNA co-expression: Novel insights into gene networks for intramuscular fatty acid composition in porcine

BACKGROUND: Fatty acids (FA) play a critical role in energy homeostasis and metabolic diseases; in the context of livestock species, their profile also impacts on meat quality for healthy human consumption. Molecular pathways controlling lipid metabolism are highly interconnected and are not fully u...

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Autores principales: Ramayo-Caldas, Yuliaxis, Ballester, Maria, Fortes, Marina RS, Esteve-Codina, Anna, Castelló, Anna, Noguera, Jose L, Fernández, Ana I, Pérez-Enciso, Miguel, Reverter, Antonio, Folch, Josep M
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3987146/
https://www.ncbi.nlm.nih.gov/pubmed/24666776
http://dx.doi.org/10.1186/1471-2164-15-232
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author Ramayo-Caldas, Yuliaxis
Ballester, Maria
Fortes, Marina RS
Esteve-Codina, Anna
Castelló, Anna
Noguera, Jose L
Fernández, Ana I
Pérez-Enciso, Miguel
Reverter, Antonio
Folch, Josep M
author_facet Ramayo-Caldas, Yuliaxis
Ballester, Maria
Fortes, Marina RS
Esteve-Codina, Anna
Castelló, Anna
Noguera, Jose L
Fernández, Ana I
Pérez-Enciso, Miguel
Reverter, Antonio
Folch, Josep M
author_sort Ramayo-Caldas, Yuliaxis
collection PubMed
description BACKGROUND: Fatty acids (FA) play a critical role in energy homeostasis and metabolic diseases; in the context of livestock species, their profile also impacts on meat quality for healthy human consumption. Molecular pathways controlling lipid metabolism are highly interconnected and are not fully understood. Elucidating these molecular processes will aid technological development towards improvement of pork meat quality and increased knowledge of FA metabolism, underpinning metabolic diseases in humans. RESULTS: The results from genome-wide association studies (GWAS) across 15 phenotypes were subjected to an Association Weight Matrix (AWM) approach to predict a network of 1,096 genes related to intramuscular FA composition in pigs. To identify the key regulators of FA metabolism, we focused on the minimal set of transcription factors (TF) that the explored the majority of the network topology. Pathway and network analyses pointed towards a trio of TF as key regulators of FA metabolism: NCOA2, FHL2 and EP300. Promoter sequence analyses confirmed that these TF have binding sites for some well-know regulators of lipid and carbohydrate metabolism. For the first time in a non-model species, some of the co-associations observed at the genetic level were validated through co-expression at the transcriptomic level based on real-time PCR of 40 genes in adipose tissue, and a further 55 genes in liver. In particular, liver expression of NCOA2 and EP300 differed between pig breeds (Iberian and Landrace) extreme in terms of fat deposition. Highly clustered co-expression networks in both liver and adipose tissues were observed. EP300 and NCOA2 showed centrality parameters above average in the both networks. Over all genes, co-expression analyses confirmed 28.9% of the AWM predicted gene-gene interactions in liver and 33.0% in adipose tissue. The magnitude of this validation varied across genes, with up to 60.8% of the connections of NCOA2 in adipose tissue being validated via co-expression. CONCLUSIONS: Our results recapitulate the known transcriptional regulation of FA metabolism, predict gene interactions that can be experimentally validated, and suggest that genetic variants mapped to EP300, FHL2, and NCOA2 modulate lipid metabolism and control energy homeostasis in pigs.
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spelling pubmed-39871462014-04-30 From SNP co-association to RNA co-expression: Novel insights into gene networks for intramuscular fatty acid composition in porcine Ramayo-Caldas, Yuliaxis Ballester, Maria Fortes, Marina RS Esteve-Codina, Anna Castelló, Anna Noguera, Jose L Fernández, Ana I Pérez-Enciso, Miguel Reverter, Antonio Folch, Josep M BMC Genomics Research Article BACKGROUND: Fatty acids (FA) play a critical role in energy homeostasis and metabolic diseases; in the context of livestock species, their profile also impacts on meat quality for healthy human consumption. Molecular pathways controlling lipid metabolism are highly interconnected and are not fully understood. Elucidating these molecular processes will aid technological development towards improvement of pork meat quality and increased knowledge of FA metabolism, underpinning metabolic diseases in humans. RESULTS: The results from genome-wide association studies (GWAS) across 15 phenotypes were subjected to an Association Weight Matrix (AWM) approach to predict a network of 1,096 genes related to intramuscular FA composition in pigs. To identify the key regulators of FA metabolism, we focused on the minimal set of transcription factors (TF) that the explored the majority of the network topology. Pathway and network analyses pointed towards a trio of TF as key regulators of FA metabolism: NCOA2, FHL2 and EP300. Promoter sequence analyses confirmed that these TF have binding sites for some well-know regulators of lipid and carbohydrate metabolism. For the first time in a non-model species, some of the co-associations observed at the genetic level were validated through co-expression at the transcriptomic level based on real-time PCR of 40 genes in adipose tissue, and a further 55 genes in liver. In particular, liver expression of NCOA2 and EP300 differed between pig breeds (Iberian and Landrace) extreme in terms of fat deposition. Highly clustered co-expression networks in both liver and adipose tissues were observed. EP300 and NCOA2 showed centrality parameters above average in the both networks. Over all genes, co-expression analyses confirmed 28.9% of the AWM predicted gene-gene interactions in liver and 33.0% in adipose tissue. The magnitude of this validation varied across genes, with up to 60.8% of the connections of NCOA2 in adipose tissue being validated via co-expression. CONCLUSIONS: Our results recapitulate the known transcriptional regulation of FA metabolism, predict gene interactions that can be experimentally validated, and suggest that genetic variants mapped to EP300, FHL2, and NCOA2 modulate lipid metabolism and control energy homeostasis in pigs. BioMed Central 2014-03-26 /pmc/articles/PMC3987146/ /pubmed/24666776 http://dx.doi.org/10.1186/1471-2164-15-232 Text en Copyright © 2014 Ramayo-Caldas et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 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 credited.
spellingShingle Research Article
Ramayo-Caldas, Yuliaxis
Ballester, Maria
Fortes, Marina RS
Esteve-Codina, Anna
Castelló, Anna
Noguera, Jose L
Fernández, Ana I
Pérez-Enciso, Miguel
Reverter, Antonio
Folch, Josep M
From SNP co-association to RNA co-expression: Novel insights into gene networks for intramuscular fatty acid composition in porcine
title From SNP co-association to RNA co-expression: Novel insights into gene networks for intramuscular fatty acid composition in porcine
title_full From SNP co-association to RNA co-expression: Novel insights into gene networks for intramuscular fatty acid composition in porcine
title_fullStr From SNP co-association to RNA co-expression: Novel insights into gene networks for intramuscular fatty acid composition in porcine
title_full_unstemmed From SNP co-association to RNA co-expression: Novel insights into gene networks for intramuscular fatty acid composition in porcine
title_short From SNP co-association to RNA co-expression: Novel insights into gene networks for intramuscular fatty acid composition in porcine
title_sort from snp co-association to rna co-expression: novel insights into gene networks for intramuscular fatty acid composition in porcine
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3987146/
https://www.ncbi.nlm.nih.gov/pubmed/24666776
http://dx.doi.org/10.1186/1471-2164-15-232
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