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Transcriptional analysis of abdominal fat in genetically fat and lean chickens reveals adipokines, lipogenic genes and a link between hemostasis and leanness
- Source :
- BMC Genomics, BMC Genomics, BioMed Central, 2013, 14 (august), Non paginé. ⟨10.1186/1471-2164-14-557⟩, BMC Genomics august (14), Non paginé. (2013)
- Publication Year :
- 2013
- Publisher :
- BioMed Central, 2013.
-
Abstract
- Background This descriptive study of the abdominal fat transcriptome takes advantage of two experimental lines of meat-type chickens (Gallus domesticus), which were selected over seven generations for a large difference in abdominal (visceral) fatness. At the age of selection (9 wk), the fat line (FL) and lean line (LL) chickens exhibit a 2.5-fold difference in abdominal fat weight, while their feed intake and body weight are similar. These unique avian models were originally created to unravel genetic and endocrine regulation of adiposity and lipogenesis in meat-type chickens. The Del-Mar 14K Chicken Integrated Systems microarray was used for a time-course analysis of gene expression in abdominal fat of FL and LL chickens during juvenile development (1–11 weeks of age). Results Microarray analysis of abdominal fat in FL and LL chickens revealed 131 differentially expressed (DE) genes (FDR≤0.05) as the main effect of genotype, 254 DE genes as an interaction of age and genotype and 3,195 DE genes (FDR≤0.01) as the main effect of age. The most notable discoveries in the abdominal fat transcriptome were higher expression of many genes involved in blood coagulation in the LL and up-regulation of numerous adipogenic and lipogenic genes in FL chickens. Many of these DE genes belong to pathways controlling the synthesis, metabolism and transport of lipids or endocrine signaling pathways activated by adipokines, retinoid and thyroid hormones. Conclusions The present study provides a dynamic view of differential gene transcription in abdominal fat of chickens genetically selected for fatness (FL) or leanness (LL). Remarkably, the LL chickens over-express a large number of hemostatic genes that could be involved in proteolytic processing of adipokines and endocrine factors, which contribute to their higher lipolysis and export of stored lipids. Some of these changes are already present at 1 week of age before the divergence in fatness. In contrast, the FL chickens have enhanced expression of numerous lipogenic genes mainly after onset of divergence, presumably directed by multiple transcription factors. This transcriptional analysis shows that abdominal fat of the chicken serves a dual function as both an endocrine organ and an active metabolic tissue, which could play a more significant role in lipogenesis than previously thought.
- Subjects :
- Microarray
Transcription, Genetic
[SDV]Life Sciences [q-bio]
gene interaction network
Visceral obesity
Transcriptome
Gene expression
Gene Regulatory Networks
Hemostatic genes
Adiposity
2. Zero hunger
Regulation of gene expression
anonical metabolic
0303 health sciences
Canonical metabolic/regulatory pathways
Adipogenesis
Polygenic trait
hémostase
04 agricultural and veterinary sciences
hemostatic gene
Phenotype
Lipogenesis
Thyroid hormone action
Biotechnology
Research Article
medicine.medical_specialty
graisse abdominale
Genotype
poulet
Abdominal Fat
Adipokine
Retinoic acid signaling
Biology
adipogenesis
lipogenesis
retinoic acid signaling
thyroid hormone action
polygenic trait
visceral obesity
transcriptional regulator
adipokine
regulatory pathway
maigreur
03 medical and health sciences
Adipokines
Thinness
Internal medicine
medicine
Genetics
Lipolysis
Animals
[INFO]Computer Science [cs]
030304 developmental biology
Gene interaction networks
Hemostasis
Microarray analysis techniques
0402 animal and dairy science
Computational Biology
Reproducibility of Results
Molecular Sequence Annotation
Lipid Metabolism
040201 dairy & animal science
Endocrinology
Gene Expression Regulation
Transcriptional regulators
Chickens
Transcription Factors
Subjects
Details
- Language :
- English
- ISSN :
- 14712164
- Volume :
- 14
- Database :
- OpenAIRE
- Journal :
- BMC Genomics
- Accession number :
- edsair.doi.dedup.....ab980733ef0311b48c3b6c4cac6fc46c