Name
Title | ||
|---|---|---|
Dynamic-module redundancy confers robustness to the gene regulatory network involved in hair patterning of Arabidopsis epidermis. |
Abstract | ||
|---|---|---|
Redundancy among dynamic modules is emerging as a potentially generic trait in gene regulatory networks. Moreover, module redundancy could play an important role in network robustness to perturbations. We explored the effect of dynamic-module redundancy in the networks associated to hair patterning in Arabidopsis root and leaf epidermis. Recent studies have put forward several dynamic modules belonging to these networks. We defined these modules in a discrete dynamical framework that was previously reported. Then, we addressed whether these modules are sufficient or necessary for recovering epidermal cell types and patterning. After defining two quantitative estimates of the system's robustness, we also compared the robustness of each separate module with that of a network coupling all the leaf or root modules. We found that, considering certain assumptions, all the dynamic modules proposed so far are sufficient on their own for pattern formation, but reinforce each other during epidermal development. Furthermore, we found that networks of coupled modules are more robust to perturbations than single modules. These results suggest that dynamic-module redundancy might be an important trait in gene regulatory networks and point at central questions regarding network evolution, module coupling, pattern robustness and the evolution of development. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1016/j.biosystems.2010.07.007 | Biosystems |
Keywords | Field | DocType |
Arabidopsis epidermis,Robustness,Dynamic modularity,Gene regulatory network,Redundancy | Arabidopsis,Biological system,Biology,Body Patterning,Robustness (computer science),Redundancy (engineering),Artificial intelligence,Evolutionary developmental biology,Epidermis (botany),Plant Structures,Bioinformatics,Gene regulatory network,Machine learning | Journal |
Volume | Issue | ISSN |
102 | 1 | 0303-2647 |
Citations | PageRank | References |
3 | 0.50 | 2 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mariana Benítez | 1 | 39 | 2.49 |
| Elena R Alvarez-Buylla | 2 | 62 | 5.79 |