WGS of VLDL divergently selected fat and lean broilers
Ontology highlight
ABSTRACT:
PROVIDER: PRJEB15288 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| ERR1605690_1.fastq.gz | Fastqsanger.gz | |||
| ERR1605690_2.fastq.gz | Fastqsanger.gz | |||
| ERR1605700_1.fastq.gz | Fastqsanger.gz | |||
| ERR1605700_2.fastq.gz | Fastqsanger.gz | |||
| ERR1605710_1.fastq.gz | Fastqsanger.gz |
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Project description:The lean and fat broilers were derived from the 21st generation of the Northeast Agricultural University broiler lines divergently selected for abdominal fat content (NEAUHLF). In brief, broilers in the two lines (lean line and fat line) of the NEAUHLF have the same Arbor Acres ancestry, but were divergently selected by the concentration of very low-density lipoprotein and abdominal fat percentage (AFP) at 7 weeks old. After 21 generations of selection, there is over a 10-fold difference in abdominal fat percentage between the two lines, representing a classical obese-lean-study model. At age of 7 weeks, ten male individuals of each line were selected randomly to investigate the interactions between gut microbiome, host gene expression and obesity.
2022-02-02 | GSE179459 | GEO
Project description:Background: The chicken (Gallus gallus) is an important model organism that bridges the evolutionary gap between mammals and other vertebrates. Copy number variations (CNVs) are a form of genomic structural variation widely distributed in the genome. CNV analysis has recently gained greater attention and momentum, as the identification of CNVs can contribute to a better understanding of traits important to both humans and other animals. To detect chicken CNVs, we genotyped 475 animals derived from two broiler chicken lines divergently selected for abdominal fat content using chicken 60K SNP array, which is a high-throughput method widely used in chicken genomics studies. Results: Using PennCNV algorithm, we detected 438 and 291 CNVs in the lean and fat lines, respectively, corresponding to 271 and 188 CNV regions (CNVRs), which were obtained by merging overlapping CNVs. Out of these CNVRs, 99% were confirmed also by the CNVPartition program. These CNVRs covered 40.26 and 30.60 Mb of the chicken genome in the lean and fat lines, respectively. Moreover, CNVRs included 176 loss, 68 gain and 27 both (i.e. loss and gain within the same region) events in the lean line, and 143 loss, 25 gain and 20 both events in the fat line. Ten CNVRs were chosen for the validation experiment using qPCR method, and all of them were confirmed in at least one qPCR assay. We found a total of 886 genes located within these CNVRs, and Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses showed they could play various roles in a number of biological processes. Integrating the results of CNVRs, known quantitative trait loci (QTL) and selective sweeps for abdominal fat content suggested that some genes (including SLC9A3, GNAL, SPOCK3, ANXA10, HELIOS, MYLK, CCDC14, SPAG9, SOX5, VSNL1, SMC6, GEN1, MSGN1 and ZPAX) may be important for abdominal fat deposition in the chicken. Conclusions: Our study provided a genome-wide CNVR map of the chicken genome, thereby contributing to our understanding of genomic structural variations and their potential roles in abdominal fat content in the chicken. In total, 475 birds (203 and 272 individuals from the lean and fat lines, respectively) from the 11th generation population of Northeast Agricultural University broiler lines divergently selected for abdominal fat content (NEAUHLF) were used. These 475 birds were genotyped by the chicken 60k SNP chip and PennCNV method were used to perform genome-wide CNV detection.
2015-05-20 | E-GEOD-58551 | biostudies-arrayexpress
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
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Project description:We performed gene expression profiling on chicken livers at five important embryonic developmental stages (E7, E12, E14, E17 and E21), which were selected from chicken lines with significant differences in abdominal fat content. Each developmental stage had its unique gene expression pattern and stage-specific differentially expressed genes (DEGs). Furthermore, the three rapid growth periods (E12, E14 and E17) had similar expression patterns. Between the two broiler lines, E17 had the largest number of significantly differentially expressed genes (979), specifically enriched in fatty acid metabolism and biosynthesis, PPAR signaling and glycolysis pathways. Therefore, genome-wide gene expression recapitulated the developmental pattern of chicken embryos, and found the important molecular pathways for hepatic lipid metabolism.
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Project description:Improving the digestive efficiency of broiler chickens (Gallus gallus) could reduce organic waste, increase the use of alternative feed not used for human consumption and reduce the impact of feed in production costs. By selecting chicken lines divergently for their digestive efficiency, we showed previously that digestive efficiency is under genetic control and that the two resulting divergent lines, D+ (high digestive efficiency or "digestibility +") and D- (low digestive efficiency or "digestibility -"), also differ for the abundance of specific bacteria in their caeca. Here we perform a more extensive census of the bacteria present in the digestive microbiota of 60 chickens selected for their low apparent metabolizable energy corrected for nitrogen balance (AMEn-) or high (AMEn+) digestive efficiency in a [D+ x D-] F8 progeny of 200 individuals. We sequenced the 16S rRNA genes of the ileal, jejunal and caecal microbiotas, and compared the compositions and predicted functions of microbiotas from the different intestinal segments for 20 AMEn+ and 19 AMEn- birds. The intestinal segment of origin was the main factor structuring the samples. The caecal microbiota was the most impacted by the differences in digestive efficiency, with 41 bacterial species with abundances differing between highly and poorly efficient birds. Furthermore, we predicted that the caecal microbiota of efficient birds might be enriched in genes contributing to the degradation of short chain fatty acids (SCFA) from non-starch polysaccharides. These results confirm the impact of the genetic selection led on digestibility on the caecal microbiota taxonomic composition. They open the way toward the identification of specific, causal genes of the host controlling variations in the abundances of bacterial taxons.
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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.
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Project description:Divergently selected chickens for either high growth (HG genotype) or low growth (LG genotype) developed 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 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. 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 number of 531 differentially expressed genes were identified. The greatest number of genes was detected at 7 weeks of age where 178 genes were up-regulated in the HG and 162 genes up-regulated in the LG. The differentially expressed genes include metabolic enzymes, acute phase proteins, immune factors and transcription factors involved in various pathways (i.e., fatty acid and amino acid metabolism, glycolysis, oxidative phosphorylation, growth factor signaling and immune defense). Several of these functional genes are also identified as positional candidate genes within QTLs in an F2 population established from an intercross between the HG and LG lines. Keywords: divergently selected chickens, growth, transcriptional profiling, differentially expressed genes
2007-05-30 | GSE7254 | GEO
Project description:The PPAR? activator fenofibrate efficiently decreases plasma triglycerides (TG), which is generally attributed to enhanced VLDL-TG clearance and decreased VLDL-TG production. However, since data on the effect of fenofibrate on VLDL production are controversial, we aimed to investigate in (more) detail the mechanism underlying the TG-lowering effect by studying VLDL-TG production and clearance using APOE*3-Leiden.CETP mice, a unique mouse model for human-like lipoprotein metabolism. Male mice were fed a Western-type diet for 4 weeks, followed by the same diet without or with fenofibrate (30 mg/kg bodyweight/day) for 4 weeks. Fenofibrate strongly lowered plasma cholesterol (-38%; P<0.001) and TG (-60%; P<0.001) caused by reduction of VLDL. Fenofibrate markedly accelerated VLDL-TG clearance, as judged from a reduced plasma half-life of intravenously injected glycerol tri[3H]oleate-labeled VLDL-like emulsion particles (-68%; P<0.01). This was associated with an increased post-heparin LPL activity (+110%; P<0.0001) and an increased uptake of VLDL-derived fatty acids by skeletal muscle, white adipose tissue and liver. Concomitantly, fenofibrate markedly increased the VLDL-TG production rate (+73%; P<0.0001) but not the VLDL-apoB production rate. Kinetic studies using [3H]palmitic acid showed that fenofibrate increased VLDL-TG production by equally increasing incorporation of re-esterified plasma FA and liver TG into VLDL, which was supported by hepatic gene expression profiling data. We conclude that fenofibrate decreases plasma TG by enhancing LPL-mediated VLDL-TG clearance, which results in a compensatory increase in VLDL-TG production by the liver. Male mice were fed a Western-type diet for 4 weeks, followed by the same diet without or with fenofibrate (30 mg/kg bodyweight/day) for 4 weeks. After 4 hours fasting, livers were isolated and individual gene arrays were performed.
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