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Integration of liver gene co-expression networks and eGWAs analyses highlighted candidate regulators implicated in lipid metabolism in pigs

In the present study, liver co-expression networks and expression Genome Wide Association Study (eGWAS) were performed to identify DNA variants and molecular pathways implicated in the functional regulatory mechanisms of meat quality traits in pigs. With this purpose, the liver mRNA expression of 44...

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Autores principales: Ballester, Maria, Ramayo-Caldas, Yuliaxis, Revilla, Manuel, Corominas, Jordi, Castelló, Anna, Estellé, Jordi, Fernández, Ana I., Folch, Josep M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5396199/
https://www.ncbi.nlm.nih.gov/pubmed/28422154
http://dx.doi.org/10.1038/srep46539
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author Ballester, Maria
Ramayo-Caldas, Yuliaxis
Revilla, Manuel
Corominas, Jordi
Castelló, Anna
Estellé, Jordi
Fernández, Ana I.
Folch, Josep M.
author_facet Ballester, Maria
Ramayo-Caldas, Yuliaxis
Revilla, Manuel
Corominas, Jordi
Castelló, Anna
Estellé, Jordi
Fernández, Ana I.
Folch, Josep M.
author_sort Ballester, Maria
collection PubMed
description In the present study, liver co-expression networks and expression Genome Wide Association Study (eGWAS) were performed to identify DNA variants and molecular pathways implicated in the functional regulatory mechanisms of meat quality traits in pigs. With this purpose, the liver mRNA expression of 44 candidates genes related with lipid metabolism was analysed in 111 Iberian x Landrace backcross animals. The eGWAS identified 92 eSNPs located in seven chromosomal regions and associated with eight genes: CROT, CYP2U1, DGAT1, EGF, FABP1, FABP5, PLA2G12A, and PPARA. Remarkably, cis-eSNPs associated with FABP1 gene expression which may be determining the C18:2(n-6)/C18:3(n-3) ratio in backfat through the multiple interaction of DNA variants and genes were identified. Furthermore, a hotspot on SSC8 associated with the gene expression of eight genes was identified and the TBCK gene was pointed out as candidate gene regulating it. Our results also suggested that the PI3K-Akt-mTOR pathway plays an important role in the control of the analysed genes highlighting nuclear receptors as the NR3C1 or PPARA. Finally, sex-dimorphism associated with hepatic lipid metabolism was identified with over-representation of female-biased genes. These results increase our knowledge of the genetic architecture underlying fat composition traits.
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spelling pubmed-53961992017-04-21 Integration of liver gene co-expression networks and eGWAs analyses highlighted candidate regulators implicated in lipid metabolism in pigs Ballester, Maria Ramayo-Caldas, Yuliaxis Revilla, Manuel Corominas, Jordi Castelló, Anna Estellé, Jordi Fernández, Ana I. Folch, Josep M. Sci Rep Article In the present study, liver co-expression networks and expression Genome Wide Association Study (eGWAS) were performed to identify DNA variants and molecular pathways implicated in the functional regulatory mechanisms of meat quality traits in pigs. With this purpose, the liver mRNA expression of 44 candidates genes related with lipid metabolism was analysed in 111 Iberian x Landrace backcross animals. The eGWAS identified 92 eSNPs located in seven chromosomal regions and associated with eight genes: CROT, CYP2U1, DGAT1, EGF, FABP1, FABP5, PLA2G12A, and PPARA. Remarkably, cis-eSNPs associated with FABP1 gene expression which may be determining the C18:2(n-6)/C18:3(n-3) ratio in backfat through the multiple interaction of DNA variants and genes were identified. Furthermore, a hotspot on SSC8 associated with the gene expression of eight genes was identified and the TBCK gene was pointed out as candidate gene regulating it. Our results also suggested that the PI3K-Akt-mTOR pathway plays an important role in the control of the analysed genes highlighting nuclear receptors as the NR3C1 or PPARA. Finally, sex-dimorphism associated with hepatic lipid metabolism was identified with over-representation of female-biased genes. These results increase our knowledge of the genetic architecture underlying fat composition traits. Nature Publishing Group 2017-04-19 /pmc/articles/PMC5396199/ /pubmed/28422154 http://dx.doi.org/10.1038/srep46539 Text en Copyright © 2017, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Ballester, Maria
Ramayo-Caldas, Yuliaxis
Revilla, Manuel
Corominas, Jordi
Castelló, Anna
Estellé, Jordi
Fernández, Ana I.
Folch, Josep M.
Integration of liver gene co-expression networks and eGWAs analyses highlighted candidate regulators implicated in lipid metabolism in pigs
title Integration of liver gene co-expression networks and eGWAs analyses highlighted candidate regulators implicated in lipid metabolism in pigs
title_full Integration of liver gene co-expression networks and eGWAs analyses highlighted candidate regulators implicated in lipid metabolism in pigs
title_fullStr Integration of liver gene co-expression networks and eGWAs analyses highlighted candidate regulators implicated in lipid metabolism in pigs
title_full_unstemmed Integration of liver gene co-expression networks and eGWAs analyses highlighted candidate regulators implicated in lipid metabolism in pigs
title_short Integration of liver gene co-expression networks and eGWAs analyses highlighted candidate regulators implicated in lipid metabolism in pigs
title_sort integration of liver gene co-expression networks and egwas analyses highlighted candidate regulators implicated in lipid metabolism in pigs
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5396199/
https://www.ncbi.nlm.nih.gov/pubmed/28422154
http://dx.doi.org/10.1038/srep46539
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