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

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

Journal

Journal of theoretical biology
ISSN: 1095-8541
Titre abrégé: J Theor Biol
Pays: England
ID NLM: 0376342

Informations de publication

Date de publication:
07 01 2022
Historique:
received: 12 05 2021
revised: 27 09 2021
accepted: 04 10 2021
pubmed: 16 10 2021
medline: 15 12 2021
entrez: 15 10 2021
Statut: ppublish

Résumé

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.

Identifiants

pubmed: 34653506
pii: S0022-5193(21)00344-1
doi: 10.1016/j.jtbi.2021.110925
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

110925

Informations de copyright

Copyright © 2021 Elsevier Ltd. All rights reserved.

Auteurs

Oksana Butuzova (O)

BIN, St-Petersburg, Russia. Electronic address: obutuzova@binran.ru.

Nikolay Pakudin (N)

Alferov University, St-Petersburg, Russia.

Andrey Minarsky (A)

Alferov University, St-Petersburg, Russia. Electronic address: aminarsky@yandex.ru.

Nikolay Bessonov (N)

IPME, St-Petersburg, Russia.

Nadya Morozova (N)

BIN, St-Petersburg, Russia; IHES, France; Institute for Integrative Biology of the Cell (I2BC), CAA, CNRS, Université Paris-Sud, Université Paris Saclay, Gif-sur-Yvette, France. Electronic address: morozova@ihes.fr.

Articles similaires

Genome, Chloroplast Phylogeny Genetic Markers Base Composition High-Throughput Nucleotide Sequencing
Robotic Surgical Procedures Animals Humans Telemedicine Models, Animal

Odour generalisation and detection dog training.

Lyn Caldicott, Thomas W Pike, Helen E Zulch et al.
1.00
Animals Odorants Dogs Generalization, Psychological Smell

Selecting optimal software code descriptors-The case of Java.

Yegor Bugayenko, Zamira Kholmatova, Artem Kruglov et al.
1.00
Software Algorithms Programming Languages

Classifications MeSH