Drosophila melanogaster
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA95347 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Genomic responses to ectopic expression of DHR96 in Drosophila melanogaster
| PRJNA95349 | ENA
Project description:Phenobarbital is a well studied xenobiotic compound. In this study, we describe the genomic responses in fruit flies and examine whether animals mutant for DHR96, an ortholog of xenobiotic nuclear receptors PXR and CAR, plays a role in mediating xenobiotic responses in Drosophila. Keywords: dose response in mutant vs. wild type
2006-06-23 | GSE5096 | GEO
Project description:Thermal acclimation study on Drosophila melanogaster reared at 3 different temperatures (12, 25, and 31oC). The proteomic profiles of D. melanogaster under these different temperatures were analyzed and compared using label-free tandem mass spectrometry.
2016-03-15 | PXD003755 | Pride
Project description:The effect of xenobiotics (phenobarbital and atrazine) on the expression of Drosophila melanogaster CYP genes encoding cytochromes P450, a gene family generally associated with detoxification, was analyzed by DNA microarray hybridization and verified by real time RT-PCR in adults of both sexes. Only a small subset of the 86 CYP genes was significantly induced by the xenobiotics. Eleven CYP genes and three GST genes were significantly induced by phenobarbital, seven CYP and one GST gene were induced by atrazine. Cyp6d5, Cyp6w1, Cyp12d1 and the ecdysone-inducible Cyp6a2 were induced by both chemicals. The constitutive expression of several of the inducible genes (Cyp6a2, Cyp6a8, Cyp6d5, Cyp12d1) was higher in males than in females, and the induced level similar in both sexes. Thus, the level of induction was consistently higher in females than in males. The female-specific and hormonally-regulated yolk protein genes were significantly induced by phenobarbital in males and repressed by atrazine in females. Our results suggest that the numerous CYP genes of Drosophila respond selectively to xenobiotics, providing the fly with an adaptive response to chemically adverse environments. The xenobiotic-inducibility of some CYP genes previously associated with insecticide resistance in laboratory-selected strains (Cyp6a2, Cyp6a8, Cyp12d1) suggests that deregulation of P450 gene expression may be a facile way to achieve resistance. Our study also suggests that xenobiotic-induced changes in P450 levels can affect insect fitness by interfering with hormonally-regulated networks. Keywords: induction by phenobarbital and atrazine in adults drosophila melanogaster of both sex.
2006-06-29 | GSE5125 | GEO
Project description:A deep peptidomics workflow was used to identify alternative proteins in Drosophila melanogaster samples.
2022-01-07 | MSV000088656 | MassIVE
Project description:Drosophila melanogaster Genome sequencing
| PRJNA264823 | ENA
Project description:Drosophila melanogaster Genome sequencing
| PRJNA264824 | ENA
Project description:Drosophila melanogaster mtDNA, genomic sequences from five populations
| PRJNA218500 | ENA
Project description:Understanding the genotype-phenotype map and how variation at different levels of biological organization is associated are central topics in modern biology. Fast developments in sequencing technologies and other molecular omic tools enable researchers to obtain detailed information on variation at DNA level and on intermediate endophenotypes, such as RNA, proteins and metabolites. This can facilitate our understanding of the link between genotypes and molecular and functional organismal phenotypes. Here, we use the Drosophila melanogaster Genetic Reference Panel and nuclear magnetic resonance (NMR) metabolomics to investigate the ability of the metabolome to predict organismal phenotypes. We performed NMR metabolomics on four replicate pools of male flies from each of 170 different isogenic lines. Our results show that metabolite profiles are variable among the investigated lines and that this variation is highly heritable. Second, we identify genes associated with metabolome variation. Third, using the metabolome gave better prediction accuracies than genomic information for four of five quantitative traits analyzed. Our comprehensive characterization of population-scale diversity of metabolomes and its genetic basis illustrates that metabolites have large potential as predictors of organismal phenotypes. This finding is of great importance, e.g., in human medicine, evolutionary biology and animal and plant breeding.
2021-08-05 | MTBLS2060 | MetaboLights