Project description:Chickens (Cobb500FF) divergent in residual feed intake were analyzed for muscular (M. pectoralis), duodenal, jejunal and ileal transcriptomic profiles.
Project description:Feed efficiency (FE) is an indicator of efficiency in converting energy from feed into a tissue that is of major environmental and economic significance.This study was to profile the porcine Longissimus thoracis et lumborum (LTL) muscle transcriptome, examine the product quality from pigs divergent in FE and investigate the functional networks underpinning the potential relationship between product quality and FE.
Project description:Liver is a metabolically complex organ that influences nutrient partitioning and potentially modulates the efficiency of converting energy acquired from macronutrients ingestion into a muscle and/or adipose tissue (referred to as feed efficiency, FE). The objective of this study was to sequence the hepatic tissue transcriptome of pigs divergent for FE and identify relevant biological processes that underpin the differences in liver phenotypes and FE.
Project description:Feed efficiency (FE) is an indicator of efficiency in converting energy, attained from macronutrient ingestion, into tissue. Adipose tissue, besides being a master regulator of systemic lipid storage, is also an active endocrine organ that communicates with skeletal muscle, liver and brain to influence appetite, lipid & glucose metabolism and energy homeostasis. Adipose tissue is hypothesised to play a vital part in regulation of FE. The objective of the present study was to sequence the subcutaneous adipose tissue transcriptome in FE-divergent pigs (n=16) and identify relevant biological processes underpinning observed differences in FE.
Project description:The amount of energy that can be extracted from a diet varies between individuals. Apparent Metabolizable Energy (AME) is a measure of energy utilization efficiency and represents the difference between the energy consumed and the energy lost via the excreta. There are significant differences in the energy utilization capability of individual birds that have a similar genetic background and are raised under identical conditions. We analyzed duodenal gene expression and microbiota differences between birds with different efficiencies in food to energy conversion using microarrays and sequencing of 16s rRNA genes. Differences were found in duodenal gene expression between high and low AME birds, they were however mostly related to genes of unknown function. The flock of 96 chickens was used to study ability of the bird to utilise the energy from feed. We measured energy content in feed and in excreta of individually housed birds. The microarrays were used to compare expression between the best and worst energy utilisers.
Project description:Feed accounts for more than 60% of the costs for pig production, and FE can be measured as residual feed intake (RFI). In this study, we compared the transcriptome difference of longissimus dorsi muscles of Yorkshire pigs with high RFI (RFI_H) and low RFI (RFI_L) using Solexa mRNA sequencing.
Project description:Global gene expression profiles of peripheral blood of 35 to 42 day-old Yorkshire pigs with extremely low (more efficient) and high RFI (less efficient) values from two Iowa State University lines (the low RFI line, n = 15, and the high RFI line, n =16) that were divergently selected for RFI during the grow-finish phase were determined by Illumina RNA-seq (100 bp, paired-end) on the Hiseq2000 platform to explore the transcription biomarkers for feed efficiency in pigs.
Project description:Gene expression determination between breast muscle associated with the phenotypic expression of feed efficiency (FE) in a single male broiler line. Goal was to determine the changes of gene expression by feed efficiency (FE). Two-condition experiment, high feed efficiency vs. low feed efficiency. Biological replicates: breast muscles from 4 high feed efficiency male broiler, breast muscles from 4 low feed efficiency male broiler
Project description:The aim of this experiment was to identify changes in gene expression in muscle and liver between pigs that were divergent in feed efficiency. The animals were selected from two different farms of origin. 48 animals were utilized in this study. Following slaughter RNA Total RNA was extracted from liver and muscle ((25 mg) tissue using Trizol Reagent (Sigma-Aldrich, Arklow, Ireland) according to the manufacturer’s instructions, the crude RNA extract was further purified using the GenElute Mammalian Total RNA Miniprep Kit (RTN70, Sigma-Aldrich). Library construction and sequencing was performed by the next generation sequencing facility at the Institute of Molecular Medicine, University of Leeds, United Kingdom. The RNA-seq libraries were constructed using the Illumina TruSeq RNA Sample Preparation Kit v2 (Illumina, San Diego, CA) per the manufacturer’s instructions. One hundred base paired-end sequencing was run on an Illumina HiSeq2000 platform with each pool ran on two lanes on a flow cell.
Project description:Excessive accumulation of lipids in the adipose tissue is a major problem in the present-day broiler industry. However, few studies have analyzed the expression of adipose tissue genes that are involved in pathways and mechanisms leading to adiposity in chickens. Gene expression profiling of chicken adipose tissue could provide key information about the ontogenesis of fatness and clarify the molecular mechanisms underlying obesity. Chicken Genome Arrays were used to construct an adipose tissue gene expression profile of 7-week-old broilers, and to screen adipose tissue genes that are differentially expressed in lean and fat lines divergently selected over eight generations for high and low abdominal fat weight. Experiment Overall Design: Birds were slaughtered at 7 weeks and abdominal fat was isolated, immediately frozen in liquid nitrogen and stored at -80oC. The ten birds used in the present study were chosen by the percentage of abdominal fat (AFP): five had the highest AFP and the other five had the lowest for RNA extraction and hybridization on Affymetrix microarrays..