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A Co-Association Network Analysis of the Genetic Determination of Pig Conformation, Growth and Fatness

BACKGROUND: Several QTLs have been identified for major economically relevant traits in livestock, such as growth and meat quality, revealing the complex genetic architecture of these traits. The use of network approaches considering the interactions of multiple molecules and traits provides useful...

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Autores principales: Puig-Oliveras, Anna, Ballester, Maria, Corominas, Jordi, Revilla, Manuel, Estellé, Jordi, Fernández, Ana I., Ramayo-Caldas, Yuliaxis, Folch, Josep M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4263716/
https://www.ncbi.nlm.nih.gov/pubmed/25503799
http://dx.doi.org/10.1371/journal.pone.0114862
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author Puig-Oliveras, Anna
Ballester, Maria
Corominas, Jordi
Revilla, Manuel
Estellé, Jordi
Fernández, Ana I.
Ramayo-Caldas, Yuliaxis
Folch, Josep M.
author_facet Puig-Oliveras, Anna
Ballester, Maria
Corominas, Jordi
Revilla, Manuel
Estellé, Jordi
Fernández, Ana I.
Ramayo-Caldas, Yuliaxis
Folch, Josep M.
author_sort Puig-Oliveras, Anna
collection PubMed
description BACKGROUND: Several QTLs have been identified for major economically relevant traits in livestock, such as growth and meat quality, revealing the complex genetic architecture of these traits. The use of network approaches considering the interactions of multiple molecules and traits provides useful insights into the molecular underpinnings of complex traits. Here, a network based methodology, named Association Weight Matrix, was applied to study gene interactions and pathways affecting pig conformation, growth and fatness traits. RESULTS: The co-association network analysis underpinned three transcription factors, PPARγ, ELF1, and PRDM16 involved in mesoderm tissue differentiation. Fifty-four genes in the network belonged to growth-related ontologies and 46 of them were common with a similar study for growth in cattle supporting our results. The functional analysis uncovered the lipid metabolism and the corticotrophin and gonadotrophin release hormone pathways among the most important pathways influencing these traits. Our results suggest that the genes and pathways here identified are important determining either the total body weight of the animal and the fat content. For instance, a switch in the mesoderm tissue differentiation may determinate the age-related preferred pathways being in the puberty stage those related with the miogenic and osteogenic lineages; on the contrary, in the maturity stage cells may be more prone to the adipocyte fate. Hence, our results demonstrate that an integrative genomic co-association analysis is a powerful approach for identifying new connections and interactions among genes. CONCLUSIONS: This work provides insights about pathways and key regulators which may be important determining the animal growth, conformation and body proportions and fatness traits. Molecular information concerning genes and pathways here described may be crucial for the improvement of genetic breeding programs applied to pork meat production.
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spelling pubmed-42637162014-12-19 A Co-Association Network Analysis of the Genetic Determination of Pig Conformation, Growth and Fatness Puig-Oliveras, Anna Ballester, Maria Corominas, Jordi Revilla, Manuel Estellé, Jordi Fernández, Ana I. Ramayo-Caldas, Yuliaxis Folch, Josep M. PLoS One Research Article BACKGROUND: Several QTLs have been identified for major economically relevant traits in livestock, such as growth and meat quality, revealing the complex genetic architecture of these traits. The use of network approaches considering the interactions of multiple molecules and traits provides useful insights into the molecular underpinnings of complex traits. Here, a network based methodology, named Association Weight Matrix, was applied to study gene interactions and pathways affecting pig conformation, growth and fatness traits. RESULTS: The co-association network analysis underpinned three transcription factors, PPARγ, ELF1, and PRDM16 involved in mesoderm tissue differentiation. Fifty-four genes in the network belonged to growth-related ontologies and 46 of them were common with a similar study for growth in cattle supporting our results. The functional analysis uncovered the lipid metabolism and the corticotrophin and gonadotrophin release hormone pathways among the most important pathways influencing these traits. Our results suggest that the genes and pathways here identified are important determining either the total body weight of the animal and the fat content. For instance, a switch in the mesoderm tissue differentiation may determinate the age-related preferred pathways being in the puberty stage those related with the miogenic and osteogenic lineages; on the contrary, in the maturity stage cells may be more prone to the adipocyte fate. Hence, our results demonstrate that an integrative genomic co-association analysis is a powerful approach for identifying new connections and interactions among genes. CONCLUSIONS: This work provides insights about pathways and key regulators which may be important determining the animal growth, conformation and body proportions and fatness traits. Molecular information concerning genes and pathways here described may be crucial for the improvement of genetic breeding programs applied to pork meat production. Public Library of Science 2014-12-11 /pmc/articles/PMC4263716/ /pubmed/25503799 http://dx.doi.org/10.1371/journal.pone.0114862 Text en © 2014 Puig-Oliveras et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Puig-Oliveras, Anna
Ballester, Maria
Corominas, Jordi
Revilla, Manuel
Estellé, Jordi
Fernández, Ana I.
Ramayo-Caldas, Yuliaxis
Folch, Josep M.
A Co-Association Network Analysis of the Genetic Determination of Pig Conformation, Growth and Fatness
title A Co-Association Network Analysis of the Genetic Determination of Pig Conformation, Growth and Fatness
title_full A Co-Association Network Analysis of the Genetic Determination of Pig Conformation, Growth and Fatness
title_fullStr A Co-Association Network Analysis of the Genetic Determination of Pig Conformation, Growth and Fatness
title_full_unstemmed A Co-Association Network Analysis of the Genetic Determination of Pig Conformation, Growth and Fatness
title_short A Co-Association Network Analysis of the Genetic Determination of Pig Conformation, Growth and Fatness
title_sort co-association network analysis of the genetic determination of pig conformation, growth and fatness
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4263716/
https://www.ncbi.nlm.nih.gov/pubmed/25503799
http://dx.doi.org/10.1371/journal.pone.0114862
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