Project description:The binding patterns of some transcription factors have been shown to diverge substantially between closely related species. Here, we show that the binding pattern of the developmental transcription factor Twist is highly conserved across six Drosophila species, revealing strong functional constraints at developmental enhancers. Conserved binding correlates with sequence motifs for Twist and its partners, permitting the de novo discovery of their cooperative binding. It also includes over 10,000 low-occupancy sites near the detection limit, which tend to mark enhancers of later developmental stages. We predict that conservation, dynamic occupancy, and combinatorial regulation will be generally true for developmental enhancers.
Project description:Nutrient-dependent gene regulation critically contributes to homeostatic control of animal physiology in changing nutrient landscape. In Drosophila, dietary sugars activate transcription factors (TFs), such as Mondo-Mlx, Sugarbabe and Cabut, which control metabolic gene expression to mediate physiological adaptation to high sugar diet. TFs that correspondingly control sugar responsive metabolic genes under conditions of low dietary sugar remain, however, poorly understood. We have used de novo motif prediction to uncover a significant over-representation of GATA-like motifs on the promoters of sugar-responsive genes in Drosophila larvae. GATA TF Grain was found to contribute to the regulation of sugar-responsive genes, and consequently to central carbon and lipid metabolism, primarily on low sugar diet. Grain targets include known sugar responsive TFs, cabut and smad on X (smox). Moreover, Grain promotes the expression of genes involved in de novo lipogenesis. Grain chromatin binding sites significantly converge with those of Sugarbabe. Grain and Sugarbabe both activate lipogenic genes, but display functional predominance on low and high sugar conditions, respectively. Collectively, our data provides evidence for a metazoan GATA transcription factor in nutrient-responsive metabolic regulation in vivo.
2021-10-06 | GSE166681 | GEO
Project description:deCODE Genetics whole-genome de novo variants
Project description:Experiment to estimate mutatational variance of gene expression in Drosophila melanogaster at two times in development using 12 mutation accumulation lines. Keywords = evolution Keywords = quantitative genetics Keywords = Drosophila Keywords = mutation Keywords: other
