Email updates

Keep up to date with the latest news and content from BMC Genomics and BioMed Central.

Open Access Research article

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

Yuliaxis Ramayo-Caldas12*, Maria Ballester12, Marina RS Fortes3, Anna Esteve-Codina2, Anna Castelló12, Jose L Noguera4, Ana I Fernández5, Miguel Pérez-Enciso16, Antonio Reverter7 and Josep M Folch12*

Author Affiliations

1 Centre de Recerca en Agrigenòmica (CRAG), Consorci CSIC-IRTA-UAB-UB, Campus UAB, Bellaterra 08193, Spain

2 Departament de Ciencia Animal i dels Aliments, Facultat de Veterinaria, Universitat Autonoma de Barcelona, Bellaterra 08193, Spain

3 The University of Queensland, Queensland Alliance for Agriculture and Food Innovation, Center for Animal Science, Gatton, Queensland 4343, Australia

4 IRTA, Genètica i Millora Animal, Lleida 25198, Spain

5 INIA, Mejora Genética Animal, Madrid 28040, Spain

6 Institució Catalana de Recerca i Estudis Avançats, ICREA, Barcelona, Spain

7 Commonwealth Scientific and Industrial Research Organisation, Division of Animal, Food and Health Sciences, Brisbane, Queensland 4067, Australias

For all author emails, please log on.

BMC Genomics 2014, 15:232  doi:10.1186/1471-2164-15-232

Published: 26 March 2014

Abstract

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.

Keywords:
Pig; Fatty acid; Gene network; Transcription factor; Co-association; Co-expression