Identifying developmental phases in the Arabidopsis thaliana rosette using integrative segmentation models
Maryline Lièvre1,2, Christine Granier1, Yann Guédon2
1INRA, UMR LEPSE, 34060, Montpellier, France.
The New Phytologist
|February 9, 2016
Summary
This study introduces a new computational pipeline to precisely define plant developmental phases in Arabidopsis. The method integrates multiple leaf traits for objective comparisons of plant growth and mutant development.
Area of Science:
- Plant biology
- Developmental biology
- Computational biology
Background:
- Leaf size and shape changes during plant growth (ontogeny) are complex traits.
- Current methods often use single traits to define developmental phases, limiting data utilization.
Purpose of the Study:
- To develop novel computational methods for identifying plant developmental phases in Arabidopsis using multiple traits.
- To enable more objective comparisons of plant vegetative development, especially in mutants.
Main Methods:
- A computational pipeline integrating image analysis and statistical models was developed.
- Semi-Markov switching models were employed for segmentation and phase identification.
- Morphological, shape, dimensional, and expansion dynamics of successive leaves were analyzed.
Main Results:
- Four distinct developmental phases (seedling, juvenile, transition, adult) were identified in Arabidopsis rosettes.
- Leaf trichome coverage alone is insufficient for defining these phases.
- The pipeline revealed the structuring role of various leaf traits in development.
Conclusions:
- The developed pipeline offers a more objective and comprehensive approach to defining plant developmental phases.
- This method enhances the ability to analyze and compare vegetative development across different Arabidopsis genotypes.
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