Drosophila melanogaster
Ontology highlight
ABSTRACT:
OTHER RELATED OMICS DATASETS IN: MTBLS2060
PROVIDER: PRJNA354621 | ENA |
REPOSITORIES: ENA
Similar Datasets
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
Project description:Quantification of RNA editing in the Drosophila Genetic Reference Panel
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Project description:Full-length, directional RNA-Seq data from a panel of 8 F1 hybid D. melanogaster lines along with matched RNA-Seq data from the two parental lines for one of the F1 crosses. All paternal fly lines were taken from the Drosophila Genetic Reference Panel crossed to a common mother (PMID31308546). Data were collected at three time points (2-4h, 6-8h, 10-12h at 25C) with two biological replicates per collection.
2020-12-03 | E-MTAB-8878 | biostudies-arrayexpress
Project description:mRNA sequence data of individual Drosophila melanogaster male and female flies from 16 Drosophila Genetic Reference Panel lines reared in replicated environments
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Project description:Open chromatin profiling using Tn5 (ATAC-Seq) for 200,000 nuclei per sample using a panel of 8 F1 hybid D. melanogaster lines. Matched data from the two parental lines of one F1 cross were also collected. All paternal fly lines were taken from the Drosophila Genetic Reference Panel crossed to a common mother (PMID31308546). Data were collected at three time points (2-4h, 6-8h, 10-12h at 25C) with two biological replicates per collection.
2020-12-04 | E-MTAB-8879 | biostudies-arrayexpress
Project description:Genetic basis of transcriptome diversity in Drosophila melanogaster
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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:Understanding how DNA sequence variation is translated into variation for complex phenotypes has remained elusive, but is essential for predicting adaptive evolution, selecting agriculturally important animals and crops, and personalized medicine. Here, we quantified genome-wide genetic variation in gene expression in the sequenced inbred lines of the Drosophila melanogaster Genetic Reference Panel. We found that a substantial fraction of the Drosophila transcriptome is genetically variable and organized into modules of genetically correlated transcripts, which provide functional context for newly identified novel transcribed regions. We identified regulatory variants for the mean and variance of gene expression, both of which showed oligogenic genetic architecture. Expression quantitative trait loci the mean, but not the variance, of gene expression were concentrated near genes. This comprehensive characterization of transcriptomic diversity and its genetic basis in the DGRP is critically important for a systems understanding of quantitative trait variation.
2015-10-05 | E-MTAB-3216 | biostudies-arrayexpress
Project description:Time course analysis series in Development of the transcriptome from Drosophila melanogaster using the Heidelberg FlyArray. All stages were hybridized against embryonic stage 0-4 h as reference control. Keywords: time-course
2003-12-31 | GSE695 | GEO
Project description:Knowledge of the genetic mechanisms underlying among-individual variation in response to environmental variables or treatment is important in many research areas; for example, acquaintance of the set of causal genetic variants for drug responses could revolutionize the field of personalized medicine. We used Drosophila melanogaster to investigate the genetic signature underlying variability in response to methylphenidate (MPH), a drug used in treatment of ADHD. We exposed a wild type D. melanogaster population to MPH or a control treatment and observed an increase in locomotor activity in individuals exposed to MPH. Whole-genome transcriptomic analyses revealed that the behavioral response to MPH was associated with abundant gene expression alterations. To confirm these patterns in a different genetic background, and to further advance knowledge on the genetic signature of drug response variability, we used a system of sequenced inbred lines, the Drosophila Genetic Reference Panel. Utilizing an integrative genomic approach we incorporated the transcriptomic data as well as gene interactions into the genomic analyses, from which we identified putative candidate genes for drug response variability. We successfully validated 70% of the investigated putative candidate genes by gene expression knockdown. Furthermore, we showed that MPH has cross generational behavioral- and transcriptomic effects.
2018-10-24 | GSE121643 | GEO