Position-dependent feedback drives scaling and robustness of morphogen gradients

成果类型:
Article
署名作者:
Mosby, Lewis Scott; Hadjivasiliou, Zena
署名单位:
Francis Crick Institute; University of London; University College London; University of London; University College London
刊物名称:
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
ISSN/ISSBN:
0027-8424; 1091-6490
DOI:
10.1073/pnas.2521182123
发表日期:
2026-05-26
页码:
e2521182123
关键词:
morphogens patterning scaling Robustness feedback SIGNALING GRADIENT degradation GROWTH
摘要:
Developmental patterning is remarkably robust to intrinsic and extrinsic variation. Morphogen gradients are a key mechanism driving patterning, and themselves often scale with the size of developing tissues and exhibit robustness to other perturbations. Recent data indicate that expander molecules, thought to drive morphogen scaling through expansion-repression (ER) feedback, have concentration profiles that are position dependent. This challenges the currently accepted ER mechanism that requires uniform expander concentrations and position independent feedback. To reconcile these observations, we introduce an ER motif that supports morphogen scaling with both uniform and position-dependent expander concentrations. We quantify scaling as a function of position, and demonstrate that the spatial profiles of scaling and robustness to perturbations in morphogen production are highly correlated. In contrast to uniform expander concentrations that can confer high levels of scaling and robustness at a single position, position-dependent expander concentrations can enhance both scaling and robustness throughout the entire target tissue. We explore trade-offs associated with the dynamic range of the expander concentration, revealing that it can be varied to tune the locations where morphogen gradients confer scaling, robustness, and precision simultaneously. These findings offer insight into how developmental systems balance competing demands to achieve reproducible patterning despite biological variability.
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