Modeling Flower Development in Arabidopsis thaliana
Author Information
Author(s): Álvarez-Buylla Elena R., Chaos Álvaro, Aldana Maximino, Benítez Mariana, Cortes-Poza Yuriria, Espinosa-Soto Carlos, Hartasánchez Diego A., Lotto R. Beau, Malkin David, Escalera Santos Gerardo J., Padilla-Longoria Pablo
Primary Institution: Instituto de Ecología, Universidad Nacional Autónoma de México
Hypothesis
Does noise contribute to the generation of the stereotypical temporal pattern in gene expression during flower development?
Conclusion
The study demonstrates that noise can drive transitions among attractors in a gene regulatory network, mimicking the sequence of gene activation in flower development.
Supporting Evidence
- The model predicts that A-genes are expressed first, followed by B-genes, and finally C-genes during flower development.
- Noise levels of 0.5-10% were found to drive transitions among attractors that mimic real gene activation sequences.
- The study provides a new approach to understanding morphogenesis through gene regulatory networks.
Takeaway
This study shows that random changes can help plants develop flowers in a specific order, like how a child learns to draw shapes in a certain sequence.
Methodology
The study used a stochastic Boolean model of a gene regulatory network to explore transitions among network attractors during flower development.
Limitations
The model does not account for all biological factors influencing flower development, such as environmental signals.
Digital Object Identifier (DOI)
Want to read the original?
Access the complete publication on the publisher's website