Cost-precision trade-off relation determines the optimal morphogen gradient for accurate biological pattern formation

  1. Yonghyun Song
  2. Changbong Hyeon  Is a corresponding author
  1. Korea Institute for Advanced Study, Republic of Korea
8 figures, 1 table and 1 additional file

Figures

Positional information transfer by the morphogen gradient.

(Top) The specification of the anterior region of the fruit fly embryo. The uniformly distributed nuclei (gray circles) are subjected to different concentrations of the morphogen (red dots) in the local environment, which leads to the anterior expression of the target gene (blue shade). (Bottom) The red and blue lines respectively depict the morphogen profile, ρ(x), and the target gene expression, g(x), which together specify cell fate. The squared positional error at the boundary xb, σx2(xb), is defined as the product between the variance of the morphogen concentration, σρ2(xb), and the squared inverse slope of the morphogen profile, (xρ(x))x=xb-2.

Figure 2 with 1 supplement
Cost-precision trade-off associated with the point measurement.

(a) Schematic of the model. (b) The position-dependent lower bound of the trade-off product πo,min(xb), obtained numerically. The gray hashed area represent the inaccessible regions. The trade-off product of the morphogen profiles of Bcd, Wg, Hh, and Dpp are shown in the respective insets. (c) The black line denotes the optimal characteristic decay length (λmin) with respect to the position xb/L. The color scale indicates the trade-off product πo(xb) computed for each pair of λ/L and xb/L values. The grea dotted line depicts the linear approximation of λmin at large L. In (b) and (c), the depicted trade-off product is normalized by αoL/lcell. The parameters for the naturally occurring morphogen profiles are further described in Appendix 3, Length scales of Bcd, Wg, Hh, and Dpp, and Appendix 3—table 1.

Figure 2—figure supplement 1
Length scales of naturally occurring morphogen profiles.

Length scales of naturally occurring morphogen profiles. The left column depicts the exponentially decaying morphogen profiles. The solid red lines denote the exponentially decaying profiles with the associated λ’s in Appendix 3—table 1. The gray shaded regions depict the respective range of target boundary positions. The right column depicts the target gene expression profiles from which the range of boundary positions are obtained. (a) (Left) Bcd morphogen profile. (Right) Bcd target Hb profile. (b) (Left) Wg morphogen profile. (Right) Wg target sens gene expression profile. (c) (Left) Hh morphogen profile. The colors green, purple, and orange correspond to different stages of development. The characteristic decay length corresponding to the purple profile, λ8μm, was used in Figures 2 and 3 of the present work. (Right) Hh target Engrailed, Collier, and Dpp profiles. The white dotted line denotes the AP border, as specified by the staining of Ci. The length of the expression domains of the target genes were estimated from the 50 μm scale bar. (d) (Left) Dpp morphogen profile. (Right) Dpp target gene expression profiles. In the right column of (a,b,d), the black intervals denote the range of boundary positions, xb. (a) Panel 1 is reprinted from Figure 5 Cell, 130(1), Gregor, T., Tank, D. W., Wieschaus, E. F., and Bialek, W., Probing the Limits to Positional Information, 153–164, Copyright (2007), with permission from Elsevier. It is not covered by the CC-BY 4.0 licence and further reproduction of this panel would need permission from the copyright holder. (a) Panel 2 is reprinted from Figure 3 Current Biology, 22(23), Perry, M. W., Bothma, J. P., Luu, R. D., and Levine, M., Precision of hunchback expression in the Drosophila embryo, 2247–2252, Copyright (2012), with permission from Elsevier. It is not covered by the CC-BY 4.0 licence and further reproduction of this panel would need permission from the copyright holder. (b) Panel 1 is reproduced from Figure 3, Kicheva, A., Pantazis, P., Bollenbach, T., Yannis, K., Bittig, T., Frank, J., and González-Gaitán, M. (2007). Kinetics of Morphogen Gradient Formation. Science, 315 (5811):521–525. Reprinted with permission from AAAS. It is not covered by the CC-BY 4.0 licence and further reproduction of this panel would need permission from the copyright holder. (b) Panel 2 reproduced from Figure 1 (Bakker et al., 2020). (c) Panel 1 is reproduced from Figure S2, Wartlick, O., Mumcu, P., Kicheva, A., Bittig, T., Seum, C., Jülicher, F., and González-Gaitán, M. (2011). Dynamics of Dpp signaling and proliferation control. Science, 331 (6021):1154–1159. Reprinted with permission from AAAS. It is not covered by the CC-BY 4.0 licence and further reproduction of this panel would need permission from the copyright holder. (c) Panel 2 is reproduced from Figure 5, Torroja, C., Gorfinkiel, N., and Guerrero, I. (2004). Patched cotrols the Hedgehog gradient by encocytosis in a dynamin-dependent manner, but this internalization does not play a major role in signal transduction. Development, 131(10):2395–2408, https://doi.org/10.1242/dev.01102, with permission from The Company of Biologists. It is not covered by the CC-BY 4.0 licence and further reproduction of this panel would need permission from the copyright holder. (d) Panel 1 is reproduced from Figure 1, Kicheva, A., Pantazis, P., Bollenbach, T., Yannis, K., Bittig, T., Frank, J., and González-Gaitán, M. (2007). Kinetics of Morphogen Gradient Formation. Science, 315 (5811):521–525. Reprinted with permission from AAAS. It is not covered by the CC-BY 4.0 licence and further reproduction of this panel would need permission from the copyright holder. (d) Panel 2 reproduced from Figure 2 (Bakker et al., 2020).

© 2007, Elsevier. Figure 2—figure supplement 1A panel 1 is reprinted from Figure 5 Gregor et al., 2007, Copyright (2007), with permission from Elsevier. It is not covered by the CC-BY 4.0 licence and further reproduction of this panel would need permission from the copyright holder.

© 2012, Elsevier. Figure 2—figure supplement 1A panel 2 is reprinted from Figure 3 Perry et al., 2012, Copyright (2007), with permission from Elsevier. It is not covered by the CC-BY 4.0 licence and further reproduction of this panel would need permission from the copyright holder.

© 2007, The American Association for the Advancement of Science. Figure 2—figure supplement 1B panel 1 is reproduced from Figure 3, Kicheva et al., 2007. Reprinted with permission from AAAS. It is not covered by the CC-BY 4.0 licence and further reproduction of this panel would need permission from the copyright holder.

© 2020, AAAS. Figure 2—figure supplement 1B panel 2 reproduced from Figure 1 Bakker et al., 2020. Reprinted with permission from AAAS Creative Commons Attribution 4.0 International Public License.

© 2011, The American Association for the Advancement of Science. Figure 2—figure supplement 1C panel 1 is reproduced from Figure S2, Wartlick et al., 2011. Reprinted with permission from AAAS. It is not covered by the CC-BY 4.0 licence and further reproduction of this panel would need permission from the copyright holder

© 2004, The Company of Biologists. Figure 2—figure supplement 1C panel 2 is reproduced from Figure 5, Torroja et al., 2004, with permission from The Company of Biologists. It is not covered by the CC-BY 4.0 licence and further reproduction of this panel would need permission from the copyright holder.

© 2007, The American Association for the Advancement of Science. Figure 2—figure supplement 1D panel 1 is reproduced from Figure 1, Kicheva et al., 2007. Reprinted with permission from AAAS. It is not covered by the CC-BY 4.0 licence and further reproduction of this panel would need permission from the copyright holder.

© 2020, AAAS. Figure 2—figure supplement 1C panel 2 reproduced from Figure 2 Bakker et al., 2020. Reprinted with permission from AAAS Creative Commons Attribution 4.0 International Public License.

Cost-precision trade-off associated with the space-time-averaged measurement.

(a) Schematic of the model. (b) The optimal trade-off product πT(xb) obtained numerically with respect to the location of the target boundary position normalized by the sensor size (xb/a). The gray hashed area represent the inaccessible regions. Shown are the trade-off products of the morphogens profiles of Bcd, Wg, Hh, and Dpp. (c) The black line denotes the optimal characteristic decay length (λmin) with respect to the position xb/a. The color scale indicates the trade-off product πT(xb) computed for each pair of λ/a and xb/a values. The gray dotted line depicts the linear approximation of λmin. The white dotted line depicts the linear approximation of λmin for the point measurement model. In (b) and (c), the depicted trade-off product is normalized by αo. The parameters for the naturally occurring morphogen profiles are further described in the Appendix 3, Length scales of Bcd, Wg, Hh, and Dpp, and Appendix 3—table 1.

Optimal concentration profile of morphogens.

(a) Three possible morphogen profiles (i) (red), (ii) (cyan), (iii) (brown) with different λ’s (λ(i)<λ(ii)<λ(iii)), generated with different values of morphogen influxes jin (jin(i)>jin(ii)>jin(iii)). The morphogen concentration of the three profiles coincide at xb, giving rise to the same threshold value ρ(xb) but different positional errors (ϵ2(xb;λ)). (b) The precision of three possible morphogen profiles (i) (red), (ii) (cyan), (iii) (brown) with different λ’s (λ(i)<λ(ii)<λ(iii)), generated with different values of morphogen influxes jin (jin(i)>jin(iii)>jin(ii)). The λ values are identical to those with matching colors in (a), but the red and brown curves are generated with different jin values from those in (a). The cost associated with each morphogen profile are shown in units of αoL/lcell. (c) The diagram of the trade-off product associated with the point measurement, πo(x;λ), plotted with respect to x and λ. The black line indicates the optimal decay length, λmin at position x. Shown on the diagram are the trade-off product πo’s for the three cases shown in (a) and (b). (d) The value of πo as a function of λ at x=xb. The trade-off product is minimized to πo=πo(ii)αo(L/lcell)0.4 with πo(ii)<πo(iii)<πo(i).

Appendix 1—figure 1
Speed-precision-cost trade-off for the reversible morphogen dynamics.

(a) Schematic of the reversible reaction-diffusion dynamics of morphogen profile formation. (b) The solid black line depicts the optimal trade-off product πo,rev,min(xb), obtained numerically by minimizing πo,rev(xb) with respect to λ and γ, with βout. The trade-off product is normalized by L/lcell. (c,d) The optimal characteristic decay length λmin (b) and γmin (c) corresponding to πo,rev,min(xb).

Appendix 2—figure 1
Cost-precision trade-off in the morphogen dynamics with distributed synthesis.

(a) Schematic of the distributed synthesis of the morphogen. The black solid line represents the morphogen synthesis rate which is roughly exponentially distributed with characteristic decay length λp. (b–d) The trade-off product (πo(x,λd)) for (b) λp=0, (c) λp=0.05L, and (d) λp=0.1L. The color scale indicates the trade-off product πo normalized by αoL/lcell. The characteristic length scale λd is defined as λd0L𝑑x(ρss(x)-ρss(L))/(ρss(0)-ρss(L)).

Appendix 2—figure 2
Cost-precision trade-off of the morphogen dynamics on a sphere.

(a) (Top) Schematic of the morphogen synthesized from the equator of the spherical shell (red region). (Bottom) The relative steady state concentration profile ρss(z) when R2/λ2=10. The solid black line was computed from evaluating ρss(z)=lims0sρ^(z,s) up to l=84 (Equation 53). The dotted red line was obtained by numerically solving Equation 51. (b) The trade-off product (πo(z,λs)) for pairs of target position z and characteristic length scale λs values, normalized by αo(2πR/lcell). The characteristic length scale λs is defined as λs01𝑑z(ρss(z)-ρss(1))/(ρss(0)-ρss(1)). The parameters for the naturally occurring morphogen profiles are further described in Appendix 3, Length scales of Cyclops, Squint, and Fgf8, and Appendix 3—table 1.

Appendix 2—figure 3
Length scales of naturally occurring morphogen profiles in the zebrafish embryo.

(a) (Left) Schematic of the Nodal ligands Cyclops and Squint patterning the vegetal-animal axis of the zebrafish embryo. The Nodal signals activate Smad2, which affects the expression of short-range and long-range target genes. (Right) The expression profile of Nodal target genes gsc and ntl obtained by in situ hybridization. The profiles are from the zebrafish embryos 5 hr post fertilization, when the embryo covers roughly 50% of the yolk. The red lines denote the width of the target gene expression domain away from the vegetal margin. (b) (Left) Expression of fgf8 in 60% epiboly whole-mount embryos obtained by in situ hybridization. Animal side of the embryo is to the top, and dorsal is to the right. (Right) The expression profiles of the Fgf8 target genes spry4, spry2, and pea3. The red lines denote the width of the target gene expression domain away from the vegetal margin. Scale bars = 100 μm. (A) is reproduced from Figure 2 Dubrulle et al., 2015. (B) is reproduced from Figure 1 Nowak et al., 2011. Reprinted by permission from Springer Nature: Springer Nature, Nature Cell Biology, Interpretation of the FGF8 morphogen gradient is regulated by endocytic trafficking, Nowak, M., MacHate, A., Yu, S. R., Gupta, M., and Brand, M. 2011, Nat. Cell Biol., 13(2):153–158 Copyright 2011. It is not covered by the CC-BY 4.0 licence and further reproduction of this panel would need permission from the copyright holder.

© 2015, Dubrulle et al. Appendix 2—figure 3A is reproduced from Figure 2 Dubrulle et al. 2015, with permission from The Company of Biologists Creative Commons Attribution 4.0 International Public License.

© 2011, Springer Nature. Appendix 2—figure 3B is reproduced from Figure 1 Nowak et al., 2011. Reprinted by permission from Springer Nature: Nowak et al., 2011 Copyright 2011. It is not covered by the CC-BY 4.0 licence and further reproduction of this panel would need permission from the copyright holder.Creative Commons Attribution 4.0 International Public License.

Tables

Appendix 3—table 1
Various length scales associated with the naturally occurring morphogen profiles found in the fruit fly (*) and zebrafish (†) embryos.

For each plot of the morphogen profile in Figure 2—figure supplement 1, the solid red line denotes the exponentially decaying profile with the associated characteristic length λ. Further details on how each value was obtained from the associated reference are provided in the text of Appendix 3.

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  1. Yonghyun Song
  2. Changbong Hyeon
(2021)
Cost-precision trade-off relation determines the optimal morphogen gradient for accurate biological pattern formation
eLife 10:e70034.
https://doi.org/10.7554/eLife.70034