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 knowledge of the genetic architecture behind feed efficiency would allow to breed more efficient animals maximizing farm profitability and reducing the environmental impact of animal production. This study analyzes high throughput gene expression data from milk samples to determine key genes and biological mechanisms associated to feed efficiency in dairy sheep.A detailed description of the sheep management practices and calculations for the feed efficiency index (FEI) are detailed in 10.3168/jds.2020-19061. For these analyses, we selected animals with divergent FEI values from a group of 40 lactating Assaf ewes. RNA-Seq was performed on milk somatic cell samples from 8 high feed efficiency sheep (H-FE), FEI = −0.29 (SD = 0.23), RFI = −0.16 (SD = 0.25), and 8 low feed efficiency sheep (L-FE), FEI = 0.81 (SD = 0.24), RFI = 0.19 (SD = 0.24)).
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).
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:Improvement of feed efficiency would increase profitability of the poultry industries by decreasing the amount of feed required for production. Korat (KR) chicken is a new alternative meat-type chicken breed which its meat is recognized for its high protein, low fat and low purine content, whereas its low feed efficiency leads to high cost of production. Deeper understanding on how feed efficiency influences meat quality is poorly elucidated. To fulfill deeper understand molecular key that point the variation in feed efficiency and meat quality, the aim of this study was to investigate molecular pathways and genes involved in feed efficiency and meat quality in thigh of slow-growing KR chicken. A total of 75 males KR chicken were reared in individual cage until 10 weeks of age. Individual feed intake and body weight were collected weekly to calculate Feed Conversion Ratio (FCR) and Residual Feed Intake (RFI). Meat quality parameters were measured in thigh muscles such as ultimate pH (pHu), water-holding capacity (WHC), drip loss (DL), nucleotides content and several biomolecules (amide, …). Base on extreme values of FCR at 10 weeks of ages, 12 birds from the high FCR group (HFCR) and 9 birds from the low FCR group (LFCR) were selected for investigating their transcriptome using an 8×60K Agilent chicken microarray. In addition, a weighted gene coexpression network analysis was performed to detect the relationship between modules of co-expressed genes and feed efficiency, meat quality in thigh muscle. The result in this study indicated that selection on feed efficiency (FCR, RFI) would affect flavor precursor, lipid and protein content in thigh muscle. Based on WGCNA and functional enrichment analysis, results suggested that the key molecular pathways relate to FCR, RFI and meat quality (WHC, DL, IMP, AMP and inosine) in thigh muscle were the pathways of regulation of biological process, biological regulation and regulation of metabolic. Moreover, we revealed four genes there are assembly competence domain (ACD) gene, baculoviral IAP repeat containing 5 (BIRC5) gene, cytochrome c oxidase assembly factor 3 (COA3) gene and myosin light chain 9 (MYL9) gene that might be biomarker gene in feed efficiency and meat quality in thigh muscle. The hypothesis of the current study was alteration feed efficiency in slow-growing chicken will impact meat quality especially in term of texture and flavor.
Project description:8 animals of high feed efficiency and 8 animals of low feed efficiency, selected by the measure of residual intake and body weight gain at the end of a feeding trial, had their liver samples collected by biopsy and sequenced in a Illumina HiSeq2500 plataform
Project description:The arsenal of genes that microbes express reflect the way in which they sense their environment. We have previously reported that the rumen microbiome composition and its coding capacity are different in animals having distinct feed efficiency states, even when fed an identical diet. Here, we reveal that many microbial populations show divergent proteome production in function of the feed efficiency state. Thus, proteomic data serve as a strong indicator of host feed efficiency state phenotype, overpowering predictions based on genomic and taxonomic information. We highlight protein production of specific phylogenies associated with each of the feed efficiency states. We also find remarkable plasticity of the proteome both in the individual population and at the community level, driven by niche partitioning and competition. These mechanisms result in protein production patterns which exhibit functional redundancy and checkerboard distribution that are tightly linked to the host feed efficiency phenotype. By linking microbial protein production and the ecological mechanisms that act within the microbiome feed efficiency states, our present work reveals a layer of complexity that bears immense importance to the current global of food security and sustainability.