Titre : | Analysis of the muscular transcriptome in relation to growth performance (abstract : congrès international de Myologie, 2005) |
contenu dans : | |
Auteurs : | Congrès international de myologie 2005 (International Congress of Myology 2005; 9-13 mai 2005; Nantes, France) ; Jenkins C ; Lebihan-Duval E ; Simon J ; Cogburn LA ; Duclos MJ |
Type de document : | Article |
Année de publication : | 2005 |
Pages : | p. 96 |
Langues: | Anglais |
Mots-clés : | ARN ; colloque ; croissance ; génétique moléculaire ; muscle squelettique ; poulet ; régulation génique ; transcriptome |
Résumé : |
Communication n° 713. INTRODUCTION : In order to have a global view of the gene networks controlling growth performance, transcriptome analysis was used on genetic models of chickens divergently selected for high or low growth rate (Ricard et al, 1975). Analysis at several ages during juvenile development (1,3,5,7,9,11 wk) is underway. The first comparison was conducted at 5 weeks of age. METHODS : Pectoralis major muscle samples (n=6) were removed from 5 week old male chickens from the slow and fast growing lines. Total RNA was extracted with Rneasy Fibrous Tissue kit (Qiagen) and indirectly labelled either with Cyanine 3 or Cyanine 5 or with Alexa 647 or 555. Labelled targets from each genotype were hybridised by pair onto a multi-tissue glass microarray spotted with 18000 cDNAs from the Gallus gallus genome. Statistically differential expression was determined using Significance Analysis of Microarray (SAM)(Tusher et al, 2001). Genes with known functions were categorized according to their biological role with chicken gene ontology annotations from TIGR (www.tigr.org). RESULTS : The fast growing animals were on average 2.8 times heavier than the slow growing ones. Irrespective of the dyes used, the classification showed that the functional categories that differ between the two lines include metabolic enzymes, muscle development, transcription factors and signal transduction proteins that could potentially be involved in muscular growth. Real Time-PCR (Polymerase Chain Reaction) confirmed the differential expression of several genes. DISCUSSION : Functional classification has allowed us to rapidly identify potential cadidate genes involved in muscle growth. Initial analysis at other ages shows that similar functional categories and genes are differentially expressed. CONCLUSION : This study along with Quantitative Trait Loci studies for growth traits in this model will give a better understanding of muscle growth mechanisms. |