open access publication

Review, 2024

Constructing universal phenomenology for biological cellular systems: an idiosyncratic review on evolutionary dimensional reduction

JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT, ISSN 1742-5468, 1742-5468, Volume 2024, 2, 10.1088/1742-5468/ad1f54

Contributors

Kaneko, Kunihiko 0000-0001-6400-8587 (Corresponding author) [1] [2] [3]

Affiliations

  1. [1] Univ Copenhagen, Niels Bohr Inst, Blegdmsvej 17, DK-2100 Copenhagen, Denmark
  2. [NORA names: KU University of Copenhagen; University; Denmark; Europe, EU; Nordic; OECD];
  3. [2] Univ Copenhagen, Niels Bohr Inst, Blegdmsvej 17, DK-2100 Copenhagen, Denmark
  4. [NORA names: KU University of Copenhagen; University; Denmark; Europe, EU; Nordic; OECD];
  5. [3] Univ Tokyo, Universal Biol Inst, 3-8-1 Komaba, 1538902 Tokyo, Japan
  6. [NORA names: Japan; Asia, East; OECD]

Abstract

The possibility of establishing a macroscopic phenomenological theory for biological systems, akin to the well-established framework of thermodynamics, is briefly reviewed. We introduce the concept of an evolutionary fluctuation-response relationship, which highlights the tight correlation between the variance in phenotypic traits caused by genetic mutations and by internal noise. We provide a distribution theory that allows us to derive these relationships, which suggests that the changes in traits resulting from adaptation and evolution are considerably constrained within a lower-dimensional space. We explore the reasons behind this dimensional reduction, focusing on the constraints posed by the requirements for steady growth and robustness achieved through the evolutionary process. We draw support from recent laboratory and numerical experiments to substantiate our claims. The universality of evolutionary dimensional reduction is presented and potential theoretical formulations for it are discussed. We conclude by briefly considering the prospects of establishing a macroscopic framework that characterizes biological robustness and irreversibility in cell differentiation, as well as an ideal cell model.

Keywords

evolutionary processes, fluctuation phenomena, gene expression and regulation, systems biology

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