Ontology highlight
ABSTRACT:
PROVIDER: PRJNA657937 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| Other | ||||
| SRR12473644.fastq.gz | Fastqsanger.gz | |||
| SRR12473645.fastq.gz | Fastqsanger.gz | |||
| SRR12473646.fastq.gz | Fastqsanger.gz | |||
| SRR12473647.fastq.gz | Fastqsanger.gz |
Items per page: 5 1 - 5 of 5 |
Similar Datasets
Project description:The raw data from the Porcine SNP60k array was used to discover copy number variations in high and low fertile breeding boars. Analysis was done in SNP and Variation Suite ver. 7.7.8. (SVS, GoldenHelix Inc.) Results were published in Revay et al., BMC Genomics 2015 Arrays were performed on 13 Landrace, 3 Duroc and 20 Yorkshire boars of high and low fertility by the service provider DNA Landmarks.
2015-02-21 | E-GEOD-66170 | biostudies-arrayexpress
Project description:Backfat thickness is one of the most important traits of commercially raised pigs. Meishan pigs are renowned for having thicker backfat than Landrace pigs. To examine the genetic factors responsible for the differences, we first produced female crossbred pig lines by mating Landrace (L) × Large White (W) × Duroc (D) females (LWD) with Landrace (L) or Meishan (M) boars (i.e., LWD × L = LWDL for Landrace offspring and LWD × M = LWDM of the Meishan offspring). We confirmed that LWDM pigs indeed had a thicker backfat than LWDL pigs. Next, we performed gene expression microarray analysis (in both genetic lines) to examine differentially expressed genes (DEGs) in energy metabolism-related tissues, subcutaneous adipose (fat), liver, and longissimus dorsi muscle tissues. We analyzed the annotation of DEGs (2-fold cutoff) to functionally categorize them by Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathways. The number of DEGs in muscle tissues of both lines was much less than that in fat and liver tissues, indicating that DEGs was much lesser in muscle tissues (in both genetic lines) than in fat and liver tissues, thus indicating that DEGs in muscle tissues may not contribute much to differences in backfat thickness. In contrast, several genes related to muscle (in fat tissue) and fatty acid and glucose metabolism (in the liver) were more upregulated in LWDM pigs than LWDL pigs, indicating that those DEGs might be responsible for differences in backfat thickness. The different genome-wide, gene expression profiles in the fat, liver, and muscle tissues between breeds can provide useful information for pig breeders.
2018-09-06 | GSE97711 | GEO
Project description:The aim of the study was to combine understanding between a timeline for molecular and macroscopic functions in the testis of the Duroc boar. To achieve this, cluster and pathway analysis was performed based on microarray transcripts from four pubertal timepoints with known steroidogenic status and known morphological maturation status. Gene expression study of testes biopsies from Duroc boars, taken at age 12, 16, 20 and 27 weeks of age, using in-house printed porcine two-colour cDNA microarrays.
2013-09-01 | E-GEOD-39322 | biostudies-arrayexpress
Project description:Gene expression during testis development in Duroc boars
| PRJNA170758 | ENA
Project description:Chromatin packaging in sperm protects it against DNA fragmentation, and the importance of proper chromatin packaging for boar fertility outcome has become increasingly evident. Little is known however about the molecular mechanisms underlying differences in sperm DNA fragmentation and an understanding of the genes controlling this sperm parameter could help in selecting the best boars for AI use. The aim of this study was to identify differentially expressed genes in testis of Norsvin Landrace and Duroc boars with good and bad sperm DNA fragmentation using transcriptome sequencing and to use the data for polymorphism search. RNA sequence reads were obtained using Illumina technology and mapped by TopHat using the Ensembl pig database. Differentially expressed genes and pathways were analyzed using the R Bioconductor packages edgeR and goseq respectively. Using a false discovery rate of 0.05, 309 and 375 genes were found displaying significant differences in expression level between the good and bad condition in Landrace and Duroc respectively. Of the differentially expressed genes, 72 were found in common for the two breeds. Gene ontology analysis revealed that terms common for the two breeds included extracellular matrix, extracellular region and calcium ion binding. Additionally, different metabolic processes were enriched in Landrace and Duroc, whereas immune response ontologies were found to be important in Landrace. SNP detection in Landrace/Duroc identified 53182/53931 variants in 10924/10748 transcripts and of these, 1573/1827 SNPs occurred in 189/241 unique genes that were also differentially expressed. Possible high impact variants were detected using SnpEff. Transcriptome sequencing identified differentially expressed genes and nucleotide variants related to differences in sperm DNA fragmentation, and functional annotation of the genes pointed towards important biochemical pathways. This study provides insights into the genetic network underlying this trait and is a first step towards using sperm DNA fragmentation for predicting boar fertility.
2017-09-01 | GSE74934 | GEO