Dynamical modules in metabolism, cell and developmental biology.

activity-function dynamical systems metabolic control modularity regulatory networks systems biology

Journal

Interface focus
ISSN: 2042-8898
Titre abrégé: Interface Focus
Pays: England
ID NLM: 101531990

Informations de publication

Date de publication:
06 Jun 2021
Historique:
accepted: 10 03 2021
entrez: 31 5 2021
pubmed: 1 6 2021
medline: 1 6 2021
Statut: epublish

Résumé

Modularity is an essential feature of any adaptive complex system. Phenotypic traits are modules in the sense that they have a distinguishable structure or function, which can vary (quasi-)independently from its context. Since all phenotypic traits are the product of some underlying regulatory dynamics, the generative processes that constitute the genotype-phenotype map must also be functionally modular. Traditionally, modular processes have been identified as structural modules in regulatory networks. However, structure only constrains, but does not determine, the dynamics of a process. Here, we propose an alternative approach that decomposes the behaviour of a complex regulatory system into elementary activity-functions. Modular activities can occur in networks that show no structural modularity, making dynamical modularity more widely applicable than structural decomposition. Furthermore, the behaviour of a regulatory system closely mirrors its functional contribution to the outcome of a process, which makes dynamical modularity particularly suited for functional decomposition. We illustrate our approach with numerous examples from the study of metabolism, cellular processes, as well as development and pattern formation. We argue that dynamical modules provide a shared conceptual foundation for developmental and evolutionary biology, and serve as the foundation for a new account of process homology, which is presented in a separate contribution by DiFrisco and Jaeger to this focus issue.

Identifiants

pubmed: 34055307
doi: 10.1098/rsfs.2021.0011
pii: rsfs20210011
pmc: PMC8086940
doi:

Types de publication

Journal Article

Langues

eng

Pagination

20210011

Informations de copyright

© 2021 The Authors.

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Auteurs

Johannes Jaeger (J)

Complexity Science Hub (CSH) Vienna, Josefstädter Strasse 39, 1080 Vienna, Austria.

Nick Monk (N)

School of Mathematics and Statistics, University of Sheffield, Hicks Building, Sheffield S3 7RH, UK.

Classifications MeSH