Gallus gallus
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PROVIDER: PRJNA94103 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Gene expression profile analysis of Fat and Lean chickens
| PRJNA118869 | ENA
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: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.
2015-05-20 | GSE58551 | GEO
Project description:Gene expression profile analysis of F2 cross between Fat and Lean chickens
| PRJNA118899 | ENA
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. Keywords: two lines comparison
2008-05-27 | GSE8010 | GEO
Project description:The aim of this study was to identify genes involved in the variation of the muscle glycogen content at death (estimated through the glycolytic potential, GP), a determining factor of meat quality in chicken. Gene expression profiles of Pectoralis major muscle were established using microarrays. We compared Fat and Lean chickens issued from two lines divergently selected for abdominal fatness and also differed for muscle GP. A total of 197 genes were differentially expressed between Fat and Lean pure chickens. Several of these genes were validated by qRT-PCR. For the genes with human orthologs, annotation analyses were performed and mainly revealed pathways involved carbohydrate, fatty-acid, and protein metabolism. The relationship between gene expression and meat quality has to now be validated by further e-QTL studies on the F2 population. 8 samples from Fat chickens were compared to 8 samples from Lean chickens, 4 of these were dye-swapped.
2010-06-24 | E-GEOD-17445 | biostudies-arrayexpress
Project description:Analysis of Hepatic Gene Expression in Chickens with Hormonally-Induced Lean and Fat Phenotypes
| PRJNA96493 | ENA
Project description:Hepatic lipid metabolism in chicken lines divergently selected for abdominal fat content
| PRJNA393848 | ENA
Project description:Gallus gallus gallus strain:lean and fat line Transcriptome or Gene expression
| PRJNA260096 | ENA
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.
2018-06-04 | GSE101182 | GEO