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Robustness of the BMP morphogen gradient in Drosophila embryonic patterning

Author

Listed:
  • Avigdor Eldar

    (Weizmann Institute of Science
    Weizmann Institute of Science)

  • Ruslan Dorfman

    (Weizmann Institute of Science)

  • Daniel Weiss

    (Weizmann Institute of Science
    Weizmann Institute of Science)

  • Hilary Ashe

    (University of Manchester)

  • Ben-Zion Shilo

    (Weizmann Institute of Science)

  • Naama Barkai

    (Weizmann Institute of Science
    Weizmann Institute of Science)

Abstract

Developmental patterning relies on morphogen gradients, which generally involve feedback loops to buffer against perturbations caused by fluctuations in gene dosage and expression1. Although many gene components involved in such feedback loops have been identified, how they work together to generate a robust pattern remains unclear. Here we study the network of extracellular proteins that patterns the dorsal region of the Drosophila embryo by establishing a graded activation of the bone morphogenic protein (BMP) pathway. We find that the BMP activation gradient itself is robust to changes in gene dosage. Computational search for networks that support robustness shows that transport of the BMP class ligands (Scw and Dpp) into the dorsal midline by the BMP inhibitor Sog is the key event in this patterning process. The mechanism underlying robustness relies on the ability to store an excess of signalling molecules in a restricted spatial domain where Sog is largely absent. It requires extensive diffusion of the BMP–Sog complexes, coupled with restricted diffusion of the free ligands. We show experimentally that Dpp is widely diffusible in the presence of Sog but tightly localized in its absence, thus validating a central prediction of our theoretical study.

Suggested Citation

  • Avigdor Eldar & Ruslan Dorfman & Daniel Weiss & Hilary Ashe & Ben-Zion Shilo & Naama Barkai, 2002. "Robustness of the BMP morphogen gradient in Drosophila embryonic patterning," Nature, Nature, vol. 419(6904), pages 304-308, September.
  • Handle: RePEc:nat:nature:v:419:y:2002:i:6904:d:10.1038_nature01061
    DOI: 10.1038/nature01061
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    Cited by:

    1. Mingzhu Sun & Hui Xu & Xingjuan Zeng & Xin Zhao, 2017. "Automated numerical simulation of biological pattern formation based on visual feedback simulation framework," PLOS ONE, Public Library of Science, vol. 12(2), pages 1-16, February.
    2. Robyn P. Araujo & Lance A. Liotta, 2023. "Universal structures for adaptation in biochemical reaction networks," Nature Communications, Nature, vol. 14(1), pages 1-12, December.
    3. Merav Socolovsky & Michael Murrell & Ying Liu & Ramona Pop & Ermelinda Porpiglia & Andre Levchenko, 2007. "Negative Autoregulation by FAS Mediates Robust Fetal Erythropoiesis," PLOS Biology, Public Library of Science, vol. 5(10), pages 1-16, September.

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