Drosophila melanogaster
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA350820 | ENA |
REPOSITORIES: ENA
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Project description:Chromatin is organized into a 3D interwoven tapestry of multi-layer architectural features important for controlling gene expression. How distinct layers influence each other and quickly they quickly they respond to cellular environment is unclear. Using Hi-C in Drosophila melanogaster, we measure how 3D chromatin organization responds to cellular hyperosmotic stress. In combination with the hd-pairing method, we demonstrate that chromosome unpairing represents a fast an reversible response to hyperosmotic stress. We identify a novel function of the Z4 protein as an anti-pairer, which we demonstrate is necessary for changes to chromatin organization during hyperosmotic stress. Finally, we demonstrate how changes to pairing impacts the other interwoven layers of 3D chromatin organization.
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Project description:Chromatin is organized into a 3D interwoven tapestry of multi-layer architectural features important for controlling gene expression. How distinct layers influence each other and quickly they quickly they respond to cellular environment is unclear. Using Hi-C in Drosophila melanogaster, we measure how 3D chromatin organization responds to cellular hyperosmotic stress. In combination with the hd-pairing method, we demonstrate that chromosome unpairing represents a fast an reversible response to hyperosmotic stress. We identify a novel function of the Z4 protein as an anti-pairer, which we demonstrate is necessary for changes to chromatin organization during hyperosmotic stress. Finally, we demonstrate how changes to pairing impacts the other interwoven layers of 3D chromatin organization.
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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.
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