FB2025_01 , released February 20, 2025
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Citation
Zhang, S., Zhao, J., Lv, X., Fan, J., Lu, Y., Zeng, T., Wu, H., Chen, L., Zhao, Y. (2020). Analysis on gene modular network reveals morphogen-directed development robustness in Drosophila.  Cell Discov. 6(1): 43.
FlyBase ID
FBrf0246173
Publication Type
Research paper
Abstract
Genetic robustness is an important characteristic to tolerate genetic or nongenetic perturbations and ensure phenotypic stability. Morphogens, a type of evolutionarily conserved diffusible molecules, govern tissue patterns in a direction-dependent or concentration-dependent manner by differentially regulating downstream gene expression. However, whether the morphogen-directed gene regulatory network possesses genetic robustness remains elusive. In the present study, we collected 4217 morphogen-responsive genes along A-P axis of Drosophila wing discs from the RNA-seq data, and clustered them into 12 modules. By applying mathematical model to the measured data, we constructed a gene modular network (GMN) to decipher the module regulatory interactions and robustness in morphogen-directed development. The computational analyses on asymptotical dynamics of this GMN demonstrated that this morphogen-directed GMN is robust to tolerate a majority of genetic perturbations, which has been further validated by biological experiments. Furthermore, besides the genetic alterations, we further demonstrated that this morphogen-directed GMN can well tolerate nongenetic perturbations (Hh production changes) via computational analyses and experimental validation. Therefore, these findings clearly indicate that the morphogen-directed GMN is robust in response to perturbations and is important for Drosophila to ensure the proper tissue patterning in wing disc.
PubMed ID
PubMed Central ID
PMC7324402 (PMC) (EuropePMC)
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Secondary IDs
  • FBrf0249336
Language of Publication
English
Additional Languages of Abstract
Parent Publication
Publication Type
Journal
Abbreviation
Cell Discov.
Title
Cell discovery
ISBN/ISSN
2056-5968
Data From Reference
Genes (18)