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| Pàgina inicial > Articles > Articles publicats > A Co-Association Network Analysis of the Genetic Determination of Pig Conformation, Growth and Fatness |
(Centre de Recerca en Agrigenòmica) (Centre de Recerca en Agrigenòmica) (Centre de Recerca en Agrigenòmica) (Centre de Recerca en Agrigenòmica) (Institut national de la recherche agronomique (França). Génétique Animale et Biologie Intégrative) (Commissariat à l'Énergie Atomique et aux Énergies Alternatives (França)) (Universitat Autònoma de Barcelona. Departament de Ciència Animal i dels Aliments)
| Data: | 2014 |
| Resum: | 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, PPARc, 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. |
| Ajuts: | Ministerio de Ciencia e Innovación AGL2011-29821-C02 Ministerio de Educación y Ciencia BES-2009-018223 Ministerio de Educación y Ciencia AP2008-01450 Ministerio de Ciencia e Innovación CDS2006-00007 |
| Nota: | Altres ajuts: DGR/ECO/1639/2013 |
| Drets: | Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original.  |
| Llengua: | Anglès |
| Document: | Article ; recerca ; Versió publicada |
| Publicat a: | PloS one, Vol. 9 Num. 12 (December 2014) , e114862, ISSN 1932-6203 |
