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Colletotrichum fioriniae Development in Water and Chloroform-based Blueberry and Cranberry Floral Extracts
Published on: April 12, 2019
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Spatial dynamics of floral organ formation
Yuriria Cortes-Poza1, Pablo Padilla-Longoria1, Elena Alvarez-Buylla2
1Mathematics and Mechanics Department, IIMAS-UNAM, Circuito escolar, Coyoacán, Mexico City 04510, Mexico.
Journal of Theoretical Biology
|June 2, 2018
Summary
This study presents a framework to model gene regulatory networks (GRN) and Waddington's epigenetic landscape in plant development. The model accurately predicts floral development and cell fate in Arabidopsis thaliana.
Area of Science:
- Developmental Biology
- Systems Biology
- Computational Biology
Background:
- Biological structure emergence is complex, involving gene regulatory networks (GRN) and external factors.
- Cell differentiation and development are guided by intricate GRNs.
- Understanding genotype-phenotype relationships is crucial in developmental studies.
Purpose of the Study:
- To develop a systematic methodological framework for constructing Waddington's epigenetic landscape of GRNs.
- To model cellular determination in early angiosperm development.
- To analyze floral development in Arabidopsis thaliana, including wild type and homeotic mutants.
Main Methods:
- Utilized experimental data to build a model of GRNs.
- Constructed Waddington's epigenetic landscape for GRNs.
- Applied the model to the specific case of Arabidopsis thaliana flower development.
Main Results:
- The developed model accurately reconstructs the spatial configuration of Arabidopsis thaliana flower development.
- The model successfully predicts cell fate determination for both wild type and homeotic mutants.
- The framework provides an accurate representation of Waddington's epigenetic landscape for the studied GRN.
Conclusions:
- The methodological framework is effective for modeling developmental processes governed by GRNs.
- The approach accurately captures genotype-phenotype relationships in floral development.
- The developed method is generalizable to studying other organisms and developmental systems.
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