Project description:Domestic broiler chickens rapidly accumulate adipose tissue due to intensive genetic selection for rapid growth and are naturally hyperglycemic and insulin resistant, making them an attractive addition to the suite of rodent models used for studies of obesity and type 2 diabetes in humans. Furthermore, chicken adipose tissue is considered as poorly sensitive to insulin and lipolysis is under glucagon control. Excessive fat accumulation is also an economic and environmental concern for the broiler industry due to the loss of feed efficiency and excessive nitrogen wasting, as well as a negative trait for consumers who are increasingly conscious of dietary fat intake. Understanding the control of avian adipose tissue metabolism would both enhance the utility of chicken as a model organism for human obesity and insulin resistance and highlight new approaches to reduce fat deposition in commercial chickens. In the present study we simultaneously characterized the effects of a short term (5 hours) fast or neutralization of insulin action (5 hours) on adipose tissue of young (16-17 day-old), fed commercial broiler chickens.
Project description:We recently performed global gene expression in the breast muscles of modern broiler and foundation line chickens. In this study, we have peformed miRNA expression analyses in the same tissues to identify muscle specific miRNAs that could be regulatory factors for muscle growth and feed efficiency in chickens.
Project description:Domestic broiler chickens rapidly accumulate adipose tissue due to intensive genetic selection for rapid growth and are naturally hyperglycemic and insulin resistant, making them an attractive addition to the suite of rodent models used for studies of obesity and type 2 diabetes in humans. Furthermore, chicken adipose tissue is considered as poorly sensitive to insulin and lipolysis is under glucagon control. Excessive fat accumulation is also an economic and environmental concern for the broiler industry due to the loss of feed efficiency and excessive nitrogen wasting, as well as a negative trait for consumers who are increasingly conscious of dietary fat intake. Understanding the control of avian adipose tissue metabolism would both enhance the utility of chicken as a model organism for human obesity and insulin resistance and highlight new approaches to reduce fat deposition in commercial chickens.
Project description:Chickens divergently selected for either high growth (HG genotype) or low growth (LG genotype) at SRA-INRA, France were used to profile abdominal adipose gene expression at 7 wk of age. The HG and LG chickens are different in various phenotypic and metabolic measurements, including growth rate, abdominal fat, plasma glycemia, insulinemia, T4, T3, triglyceride and NEFA. The HG and LG chickens are valuable as a model for biomedical and agricultural traits. Massively parallel RNA sequencing (RNA-Seq) was completed on an Illumina HiSeq 2000 System for transcription analysis of HG and LG abdominal fat. Need information on data processing, statistical analysis, and differential expression. Keywords: abdominal fat, divergently selected chickens, growth, transcriptional profiling, differentially expressed genes
Project description:The process of commercial catching, transport and slaughter (CTS) is known to be an acute stressful event in broiler chickens. Corticosteroid concentrations increase, impacting measures of IGF-1, growth hormone and metabolites of the immune system from blood plasma samples. We used ARK-Genomics chicken 20K oligo array, a two channel DNA microarray, to investigate the significantly differentially expressed genes in the livers of chickens during CTS.
Project description:Optimization of broiler chicken breast muscle protein accretion is key for the efficient production of poultry meat, whose demand is steadily increasing. In a context where antimicrobial growth promoters use is being restricted, it is important to find alternatives as well as to characterize the effect of immunological stress on broiler chicken growth. Despite of its importance, research on broiler chicken muscle protein dynamics has been mostly limited to the study of mixed protein turnover. The present study aims to characterize the effect of a bacterial challenge and the feed supplementation of a citrus and a cucumber extract on broiler chicken individual breast muscle proteins fractional synthesis rates (FSR) using a recently developed dynamic proteomics pipeline. 21 day-old broiler chickens were administered a single 2H2O dose before being culled at different timepoints. A total of 60 breast muscle protein extracts from five experimental groups (Unchallenged, Challenged, Control Diet, Diet 1 and Diet 2) were analyzed using a DDA proteomics approach. Proteomics data was filtered in order to reliably calculate multiple proteins FSR making use of a newly developed bioinformatics pipeline. Broiler breast muscle proteins FSR uniformly decreased following a bacterial challenge, this change was judged significant for 15 individual proteins, the two major functional clusters identified as well as for mixed breast muscle protein. Citrus or cucumber extract feed supplementation did not show any effect on the breast muscle protein FSR of immunologically challenged broilers. The present study has identified potential predictive markers of breast muscle growth and provided new information on broiler chicken breast muscle protein turnover which could be essential for improving the efficiency of broiler chicken meat production.
Project description:Chickens divergently selected for either high abdominal fat content (fat genotype) or low abdominal fat content (lean genotype) at Station Recherches Avicoles, Institut National de la Recherche Agronomique Nouzilly, France were used to profile abdominal fat gene expression at 7 weeks of age. The fat line (FL) and lean line (LL) chickens differ in various phenotypic and metabolic measurements, including abdominal fatness, plasma glycemia and triiodothyronine (T3). The FL and LL chickens represent unique models for characterizing biomedical and agricultural traits. Massively parallel RNA sequencing (RNA-Seq) was completed on an Illumina HiSeq 2000 System for transcription analysis of FL and LL abdominal fat. Statistical analysis was completed using CLC Genomics Workbench software. A total of 1,703 genes were differentially expressed in the FL versus LL adipose tissue [FDR<0.05 and fold change (FL/LL) > 1.2]. The differentially expressed genes include metabolic enzymes, acute phase proteins, growth factors, coagulation factors, immune factors, vasoregulators and transcription factors involved in various pathways. Several of the functional genes identified are also positional candidate genes within quantitative trait loci (QTL) in an F2 population created from an intercross of the FL and LL lines. Keywords: Divergently selected chickens, fatness, transcriptional profiling, differentially expressed genes Abdominal fat mRNA profiles of fat line (FL) and lean line (LL) chickens at 7 weeks of age were generated by deep sequencing (on an Illumina HiSeq 2000 system) employing several sequencing schemes to determine depth of coverage from 1, 4, and 8 multiplexed libraries per sequencing lane. Transcriptional analysis was completed by averaging short paired-end sequence reads (101 bp) for each bird across three sequencing depths.
Project description:Chickens divergently selected for either high abdominal fat content (fat genotype) or low abdominal fat content (lean genotype) at Station Recherches Avicoles, Institut National de la Recherche Agronomique Nouzilly, France were used to profile abdominal fat gene expression at 7 weeks of age. The fat line (FL) and lean line (LL) chickens differ in various phenotypic and metabolic measurements, including abdominal fatness, plasma glycemia and triiodothyronine (T3). The FL and LL chickens represent unique models for characterizing biomedical and agricultural traits. Massively parallel RNA sequencing (RNA-Seq) was completed on an Illumina HiSeq 2000 System for transcription analysis of FL and LL abdominal fat. Statistical analysis was completed using CLC Genomics Workbench software. A total of 1,703 genes were differentially expressed in the FL versus LL adipose tissue [FDR<0.05 and fold change (FL/LL) > 1.2]. The differentially expressed genes include metabolic enzymes, acute phase proteins, growth factors, coagulation factors, immune factors, vasoregulators and transcription factors involved in various pathways. Several of the functional genes identified are also positional candidate genes within quantitative trait loci (QTL) in an F2 population created from an intercross of the FL and LL lines. Keywords: Divergently selected chickens, fatness, transcriptional profiling, differentially expressed genes
Project description:Chickens divergently selected for either high abdominal fat content (fat genotype) or low abdominal fat content (lean genotype) at SRA-INRA, France were used to profile hepatic gene expression during juvenile development (1 to 11 weeks of age) and to identify differentially expressed genes associated with genotype and age. The fat line (FL) and lean line (LL) chickens are different in various phenotypic and metabolic measurements, including abdominal fatness, plasma glycemia and T3. The FL and LL chickens represent unique models for characterizing biomedical and agricultural traits. The Del-Mar 14K Chicken Integrated Systems microarrays were used for a transcriptional scan in liver during juvenile development using a balanced block hybridization design. Log2-transformed fluorescence intensities were analyzed with a two-stage mixed model. A total of 905 differentially expressed "functional" genes were identified (FDR<0.10). The greatest number of differentially expressed genes (400) was detected at 7 weeks of age. The differentially expressed genes include metabolic enzymes, acute phase proteins, growth factors, immune factors and transcription factors involved in various pathways. Several of the functional genes are also identified as positional candidate genes within QTLs in an F2 population established from an intercross between the FL and LL lines. Keywords: Divergently selected chickens, fatness, transcriptional profiling, differentially expressed genes