Coordination of Patterning and Growth by the Morphogen DPP

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Coordination of Patterning and Growth by the Morphogen DPP Simon Restrepo, Jeremiah J. Zartman, Konrad Basler  Current Biology  Volume 24, Issue 6, Pages R245-R255 (March 2014) DOI: 10.1016/j.cub.2014.01.055 Copyright © 2014 Elsevier Ltd Terms and Conditions

Figure 1 Imaginal discs and DPP-mediated patterning. (A) Imaginal discs are primordial structures of adult insect appendages that are already present at the larval stage. During metamorphosis each imaginal disc develops into a specific adult appendage (eye, wing, leg, genital, etc.). Drosophila imaginal discs undergo patterning and growth during the larval stages. Imaginal discs are constituted of approximately 50 cells during the first larval instar and will grow up to 50,000 cells before the onset of pupariation. The larval stage depicted is late 3rd instar. (B) The DPP pathway patterns the wing disc along the A-P axis. DPP diffuses from a thin stripe of cells at the center of the disc and represses the expression of brk. The resultant activity of DPP and BRK leads to the nested expression domains of sal and omb. The domain boundaries of sal and omb will correspond to anatomical landmarks in the adult wing such as the position of the wing veins (L2 and L5). Current Biology 2014 24, R245-R255DOI: (10.1016/j.cub.2014.01.055) Copyright © 2014 Elsevier Ltd Terms and Conditions

Figure 2 Wing disc patterning by the DPP pathway. (A) DPP activates a signaling cascade by binding to its receptor TKV. Activated TKV phosphorylates the transcription factor MAD. P-MAD can bind to its interaction partners Medea (MED) and Schnurri (SHN). The P-MAD/MED/SHN complex can repress the expression of the transcriptional repressor Brinker (BRK). Low sensitivity target genes such as omb only require derepression of BRK to be expressed, whereas high sensitivity targets such as sal also require direct activation by a complex of P-MAD/MED and an unknown co-factor (Co.F.). (B) Threshold-dependent patterning by DPP in a “French flag” fashion. DPP limits BRK activity to the lateral edges of the A-P axis. sal is highly sensitive to BRK (hence sal has a high Dpp activation threshold, θ sal) and its expression is limited to the central regions of the A-P axis where BRK is totally absent. omb, with a low θ, can accommodate high levels of BRK and is expressed in a broader domain. (C) In order to observe DPP dispersion and the DPP gradient, researchers usually employ a GFP–DPP fusion protein. A GAL4-UAS binary transcription system [43] is used to drive GFP–DPP expression in a manner analogous to the endogenous dpp transcription. The system reproduces DPP expression sufficiently accurately such that it can rescue DPP loss-of-function alleles. However, there are some clear differences such as a larger expression domain and some degree of overgrowth. Current Biology 2014 24, R245-R255DOI: (10.1016/j.cub.2014.01.055) Copyright © 2014 Elsevier Ltd Terms and Conditions

Figure 3 Models of DPP gradient formation. (A) Transcytosis: following this hypothesis, DPP is shuttled from cell to cell along the A-P axis inside of endosomes. (B) Cytonemes: here DPP is transported on long cell extensions that contact the zone of DPP production. (C) Free diffusion: in this model, the DPP gradient is simply formed by the diffusion of DPP in the extracellular fluid. (D) Hindered diffusion: here, DPP diffuses through the extracellular milieu and interacts with local proteins such as DALLY. Current Biology 2014 24, R245-R255DOI: (10.1016/j.cub.2014.01.055) Copyright © 2014 Elsevier Ltd Terms and Conditions

Figure 4 The DPP gradient as an exponentially decaying function. (A) To a first approximation, the DPP gradient can be described as an exponentially decaying function whose properties are defined by the concentration at the source, C0, and the decay length λ. (B) Visualization of the normalization of the amplitude of the DPP gradient. Current Biology 2014 24, R245-R255DOI: (10.1016/j.cub.2014.01.055) Copyright © 2014 Elsevier Ltd Terms and Conditions

Figure 5 Gradient dynamics and signaling threshold activation. (A) ‘Raising the flag’: if gene expression is controlled by a constant morphogen threshold of activation θ, changes in the amplitude of the DPP gradient with time render it impossible for the relative gene expression domains to scale with size. In this case, the amplitude of the DPP gradient increases with the length of the A-P axis. It is impossible to keep both the thresholds and the relative positions of target gene domains constant. (B) ‘Unfurling the flag’: The relative expression domains of DPP targets can scale with growth if the signaling gradient expands uniformly with tissue growth. Here, as the A-P axis length doubles, so does the length-scale of the DPP signaling gradient. The thresholds as well as the relative position of target gene expression domains remain fixed. (C) If the levels of P-MAD are buffered from changes in the amplitude of the DPP gradient such that the P-MAD gradient expands uniformly with tissue size, gene expression domain scaling can be achieved without adapting morphogen activation thresholds over time. Current Biology 2014 24, R245-R255DOI: (10.1016/j.cub.2014.01.055) Copyright © 2014 Elsevier Ltd Terms and Conditions

Figure 6 Scaling models. (A) Expansion by dilution: a long-lived antagonist promotes DPP degradation and thus hinders its dispersion. However, growth dilutes the antagonist such that as the disc area increases, DPP movement is facilitated. In this way the DPP gradient can expand further as the disc grows. (B) Expansion-repression: An expander, PENT facilitates DPP diffusion but PENT expression is repressed by DPP. Initially DPP does not reach the expression domain of PENT, thus PENT is actively produced and diffuses through the wing disc. As PENT increases DPP diffusion, DPP starts to repress pent expression and the concentration of the expander decreases accordingly. Current Biology 2014 24, R245-R255DOI: (10.1016/j.cub.2014.01.055) Copyright © 2014 Elsevier Ltd Terms and Conditions

Figure 7 Growth models. (A) In the original morphogen slope model, cells read the slope of a linear gradient. The slope is the same for all cells. If the value of the slope decreases below a threshold, θ, the cells stop dividing. (B) In the ‘exponentially decaying’ morphogen slope differences model, cells read the local spatial derivative divided by the local concentration C’/C. This value is constant for each cell along the A-P axis. If C’/C drops below a threshold, θ, proliferation stops. (C) The temporal dynamics model states that the amplitude of the DPP gradient increases with tissue size. The amplitude increases by the same relative value on all locations. The local amplitude has to increase by a factor α for cells to divide. (D) The growth equalization model proposes that the proliferation potential differs along the A-P axis. The exponentially decaying DPP ligand concentration gradient is transformed into a sigmoidal-shaped P-MAD signaling function (not shown) that delineates medial and lateral cells. BRK inhibition of growth is restricted by DPP to the lateral domains of the disc where the growth potential is higher. This results in a uniform distribution of growth. Current Biology 2014 24, R245-R255DOI: (10.1016/j.cub.2014.01.055) Copyright © 2014 Elsevier Ltd Terms and Conditions