Abdominal fat mRNA transcriptome of Muscovy duck
Ontology highlight
ABSTRACT:
ORGANISM(S): Cairina moschata
PROVIDER: GSE144727 | GEO | 2021/02/04
REPOSITORIES: GEO
Similar Datasets
Project description:Abdominal fat mRNA transcriptome of Muscovy duck
| PRJNA604719 | ENA
Project description:Abdominal fat deposition is an important trait in meat-producing ducks. F2 generations of 304 Cherry Valley and Runzhou Crested White ducks were studied to identify genes and lncRNAs affecting abdominal fat deposition. RNA sequencing was used to study abdominal fat tissue of four ducks each with high or low abdominal fat rates. In all, 336 upregulated and 297 downregu-lated mRNAs, and 95 upregulated and 119 downregulated lncRNAs were identified. Target gene prediction of differentially expressed lncRNAs identified 602 genes that were further subjected to Gene Ontology and KEGG pathway analysis. The target genes were enriched in pathways associ-ated with fat synthesis and metabolism and participated in biological processes, including Linoleic acid metabolism, lipid storage, and fat cell differentiation, indicating that these lncRNAs play an important role in abdominal fat deposition. This study lays foundations for exploring molecu-lar mechanisms underlying the regulation of abdominal fat deposition in ducks and provides a theoretical basis for breeding high-quality meat-producing ducks.
2022-05-19 | GSE203108 | GEO
Project description:The liver responsible for 90% lipid synthesis in poultry thus plays important role in the growth of Muscovy duck, which obtains high-fat deposition ability in a time-dependent manner. Therefore, male Muscovy ducks at the age of 14, 28, 42, and 56 days were selected for body weight (BW), carcass weight (CW), subcutaneous fat thickness (SFT), abdominal fat weight (AFW), intramuscular fat content (IMF), breast muscle fiber (BMF) diameter and density determination. Two-dimensional electrophoresis (2-DE) combined with liquid chromatography linked to tandem mass spectrometry (LC-MS/MS) was used to analyze the differentially expressed proteins in the liver at each stage.
2021-05-11 | PXD025920 |
Project description:To investigate genes involved in abdominal fat deposition and fat metabolism of broilers, we used highthroughput sequencing to detect the differentially expressed genes in livers and abdominal fats of broilers which were fed with a normal diet and a high-fat diet, respectively. The broilers began to fed with a normal or a high-fat diet in 1-week-old. After 7 weeks, the broilers were be executed and the livers and abdominal fats were used to extracted total RNAs. Finally, the total RNAs were be sequenced used BGISEQ-500 platform.
2019-03-16 | GSE128340 | GEO
Project description:To investigate genes involved in abdominal fat deposition and fat metabolism of broilers with dw gene, we used highthroughput sequencing to detect the differentially expressed genes in livers and abdominal fats of dwarf broilers which were fed with a normal diet and a high-fat diet, respectively. The broilers began to fed with a normal or a high-fat diet in 1-week-old. After 7 weeks, the broilers were be executed and the livers and abdominal fats were used to extracted total RNAs. Finally, the total RNAs were be sequenced used BGISEQ-500 platform.
2019-04-16 | GSE129840 | GEO
Project description:Hatchability is one of the important reproductive traits of poulty, however, molecular biological study related to hatchability of poultry is very limited. The magnum is where the egg white components are produced. During embryo development, egg white secreted by the magnum is gradually transferred into the amniotic fluid, and albumen finally migrates to the embryo. Egg white proteins are composed of ovalbumin, conalbumin, lysozyme, ovomucoid, riboflavin binding protein (RfBP), and other less abundant proteins. Mutation of ovalbumin and RfBP genes increases the mortality of embryos; therefore, egg white might be closely related to poultry hatchability. Tsaiya duck (Anas platyrhynchos) is the major egg-laying duck in Taiwan. In this study, gene expression profiling by cDNA microarray chip technology was performed using mRNA prepared from the magnum epithelium of Tsaiya ducks, and a number of differentially expressed transcripts were found. Keywords = Tsaiya duck (Anas platyrhynchos), magnum, hachability, cDNA microarray, transcriptional profiling.
2010-11-16 | GSE23100 | 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:Transcript profiling of adult abdominal fat body in S1106>AopACT females after 5 days of induction of transgene expression by RU486 feeding.
2014-08-18 | E-MTAB-927 | biostudies-arrayexpress
Project description:Fat and lean broilers have similar body weight but acquire a divergent abdominal fat content
2021-03-13 | PXD024710 |
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