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The diversity of forms in multicellular organisms originates largely from the spatial redeployment of developmental genes [S. B. Carroll, Cell 134, 25-36 (2008)]. Several scenarios can explain the emergence of cis-regulatory elements that govern novel aspects of a gene expression pattern [M. Rebeiz, M. Tsiantis, Curr. Opin. Genet. Dev. 45, 115-123 (2017)]. One scenario, enhancer co-option, holds that a DNA sequence producing an ancestral regulatory activity also becomes the template for a new regulatory activity, sharing regulatory information. While enhancer co-option might fuel morphological diversification, it has rarely been documented [W. J. Glassford et al., Dev. Cell 34, 520-531 (2015)]. Moreover, if two regulatory activities are borne from the same sequence, their modularity, considered a defining feature of enhancers [J. Banerji, L. Olson, W. Schaffner, Cell 33, 729-740 (1983)], might be affected by pleiotropy. Sequence overlap may thereby play a determinant role in enhancer function and evolution. Here, we investigated this problem with two regulatory activities of the Drosophila gene yellow, the novel spot enhancer and the ancestral wing blade enhancer. We used precise and comprehensive quantification of each activity in Drosophila wings to systematically map their sequences along the locus. We show that the spot enhancer has co-opted the sequences of the wing blade enhancer. We also identified a pleiotropic site necessary for DNA accessibility of a shared regulatory region. While the evolutionary steps leading to the derived activity are still unknown, such pleiotropy suggests that enhancer accessibility could be one of the molecular mechanisms seeding evolutionary co-option.

A high density of regulatory information encodes a quantitative spatial pattern in a Drosophila transcriptional enhancer., Developmental enhancers control the expression of genes prefiguring morphological patterns. The activity of an enhancer varies among cells of a tissue, but collectively, expression levels in individual cells constitute a spatial pattern of gene expression. How the spatial and quantitative regulatory information is encoded in an enhancer sequence is elusive. To link spatial pattern and activity levels of an enhancer, we used systematic mutations of the yellow spot enhancer, active in developing Drosophila wings, and tested their effect in a reporter assay. Moreover, we developed an analytic framework based on the comprehensive quantification of spatial reporter activity. We show that the quantitative enhancer activity results from densely packed regulatory information along the sequence, and that a complex interplay between activators and multiple tiers of repressors carves the spatial pattern. Our results shed light on how an enhancer reads and integrates trans-regulatory landscape information to encode a spatial quantitative pattern.

The diversity of forms in multicellular organisms originates largely from the spatial redeployment of developmental genes [S. B. Carroll

Transcriptional enhancers are short DNA sequences controlling the spatial activity, timing and levels of eukaryotic gene transcription. Their quantitative transcriptional output is thought to result from the number and organization of transcription factor binding sites (TFBSs). Yet, how the various aspects of regulatory information are encoded in enhancer sequences remains elusive. We addressed this question by quantifying the spatial activity of theyellow spotenhancer active in developingDrosophilawings. To identify which enhancer DNA sequence contributes to enhancer activity, we introduced systematic mutations along the enhancer. We developed an analytic framework that uses comprehensive descriptors to quantify reporter assay in transgenic flies and measure spatial variations in activity levels across the wing. Our analysis highlights an unexpected density of regulatory information in thespotenhancer sequence. Furthermore, it reveals an unanticipated regulatory logic underlying the activity of this enhancer, and how it reads the wingtrans-regulatory landscape to encode a spatial pattern.

An effect of low-dose resveratrol treatment on lipid metabolism and pro-inflammatory processes has been studied, using an in vitro model of Non-Alcoholic-Fatty Liver Disease. The model system consisted of lipid-loaded monolayer cultures of hepatocytes (Hepa1-6) and macrophages (RAW264.7), as both cell types are present in the liver. Also a tridimensional model of hepatic spheroids has been created to mimic spatial adhesive contacts between cells. Treatment with resveratrol (5 μM, 10 μM) for 3 h caused a decrease in lipid load in all three model systems. This decrease wasn’t accompanied by any changes in surface expression of lipid transporter–CD36. The response to resveratrol (RSV) was cell type- and cell environment-dependent. In both cell types an increase of the peroxisome proliferator-activated receptor-γ (PPAR-γ) protein level has been revealed. The increase of the PPAR-γ protein level appeared to be poly (ADP)-ribosylation-dependent. It has been revealed, that in the resveratrol-induced signaling pathway, leading to the decrease of intracellular lipid load, an activation of poly (ADP)-ribose polymerase should happen upstream of PPAR-γ protein expression.The decrease of lipid load isn’t accompanied by changes in the surface expression of lipid transporter CD36.