Literature DB >> 34653506

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

Oksana Butuzova1, Nikolay Pakudin2, Andrey Minarsky3, Nikolay Bessonov4, Nadya Morozova5.   

Abstract

In most taxa of plant and animal kingdoms the initial steps of embryogenesis and the final morphology of an organism are strongly determined. However, these two phenomena do not correlate from phylogenetic point of view, namely, different unrelated taxa can have the same type of early embryogenesis, while there can be different types of cleavage inside one taxon. Here we discuss an approach enabling giving an insight into the understanding of this phenomenon. First, we propose a strategy for constructing developmental graphs (trees) that provide mathematical formalization of a process of embryogenesis. Second, we suggested an algorithm of trees comparison, developed specifically for this type of labeled graphs, which allows calculating a distance between two developmental trees, and thus clustering them into groups. Next we performed the analysis of correspondence between the obtained clusters and the inception of morphological characters in given clustered groups of organisms, which allows describing several particular cases of interrelation between developmental trends and formation of morphological structures. Here we present some illustrations of the suggested methodology on the analysis of plant angiosperm species belonging to different taxa of various ranks.
Copyright © 2021 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Bioinformatics; Developmental graphs (trees); Embryogenesis of angiosperms; Inception of morphological characters; Phylogeny; Trees distance algorithm

Mesh:

Year:  2021        PMID: 34653506     DOI: 10.1016/j.jtbi.2021.110925

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  1 in total

1.  Two metrics on rooted unordered trees with labels.

Authors:  Yue Wang
Journal:  Algorithms Mol Biol       Date:  2022-06-06       Impact factor: 1.721

  1 in total

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