Developmental graphs comparison strategy for analysis of pattern formation and phylogeny.

Area of Science:

• Developmental Biology
• Evolutionary Biology
• Phylogenetics

Background:

• Embryogenesis and final organism morphology are determined but lack clear phylogenetic correlation.
• Unrelated taxa can share similar early embryogenesis, while cleavage patterns vary within taxa.

Purpose of the Study:

• To develop a mathematical formalization of embryogenesis using developmental graphs.
• To create an algorithm for comparing these developmental graphs and clustering them.
• To analyze the relationship between developmental trends and morphological character evolution.

Main Methods:

• Construction of developmental graphs (trees) to model embryogenesis.
• Development of a specialized algorithm for comparing labeled developmental graphs.
• Calculation of distances between developmental trees for clustering.
• Analysis of cluster correspondence with morphological character inception.

Main Results:

• A methodology for mathematically formalizing and comparing embryogenesis processes.
• Clustering of developmental trees revealing relationships between different taxa.
• Identification of specific interrelations between developmental trends and morphological structures.
• Illustrative analysis on angiosperm species across various taxonomic ranks.

Conclusions:

• The proposed developmental graph approach provides a framework for understanding evolutionary patterns in embryogenesis.
• This method facilitates the analysis of how developmental processes influence morphological diversification.
• The findings offer new perspectives on the phylogenetic decoupling of early development and final form.