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.
Project description:Our primary objective was to characterize the amount of variation in transcript abundance among individual flies with identical genotypes. We also wanted to determine which analysis methods would be optimal for RNA-Seq data. To meet these objectives, we performed transcriptional profiling of whole adult individuals from 16 Drosophila Genetic Reference Panel (DGRP) lines. We quantified differential expression among genotypes, environments, and sexes.
Project description:Sequencing of mRNAs of 22 wild type strains from the Drosophila Genetic reference Panel (DGRP) at embryonic time point 10-12 hrs after egg laying was performed. ~100 embryos were pooled for each biological sample prior to library preparation.
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.
Project description:mRNA sequence data of individual Drosophila melanogaster male and female flies from 16 Drosophila Genetic Reference Panel lines reared in replicated environments
Project description:Sequencing of the most 3' end of mRNAs (3'-Tag-Seq) of 82 wild type strains from the Drosophila Genetic reference Panel (DGRP) during embryogenesis was performed. Three different time points (2-4hrs, 6-8hrs and 10 to 12rs after laying) were assayed. 14 biological replicates were performed from independent embryo collections.
Project description:To measure natural variation in ER stress transcriptional response in a subset of lines from the Drosophila Genetic Reference Panel
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.
