Topological criterion for robust perfect adaptation of reaction fluxes in biological networks

Robust Perfect Adaptation (RPA) is a mechanism adopted by living systems to maintain homeostasis amidst fluctuating environments. Previous studies on RPA of concentrations and fluxes (e.g., the passage of metabolites) lacked generality due to complex theories and specific kinetic assumptions. Here, we present a simple and general topological criterion for networks to exhibit RPA of all reaction fluxes against perturbations of kinetic parameters and conserved quantities. Our criterion is solely based on network structure, making it valid for any kinetics (e.g., mass-action or Michaelis-Menten kinetics). Applying this to <i>Escherichia coli</i> metabolic pathways, we identify key genes determining metabolic fluxes, validated by single-gene knockout experiments. Our approach also solves the mystery of why plant growth is affected by perturbations in only aspartate transcarbamoylase among various enzymes involved in pyrimidine metabolism. Our work informs key components of complex networks governing fluxes and provides critical information regarding long-term dynamics solely from network topology.

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Journal
iScience
Published
2025-04-11
DOI
https://doi.org/10.1016/j.isci.2025.112394
Primary Topic
Gene Regulatory Network Analysis
Type
article
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article

Topological criterion for robust perfect adaptation of reaction fluxes in biological networks

Yuji Hirono, Hyukpyo Hong, Jae Kyoung Kim, Soo Young Moon
iScience
Gene Regulatory Network Analysis
article

Topological criterion for robust perfect adaptation of reaction fluxes in biological networks

Yuji Hirono, Hyukpyo Hong, Jae Kyoung Kim, Soo Young Moon
article en

Abstract

Robust Perfect Adaptation (RPA) is a mechanism adopted by living systems to maintain homeostasis amidst fluctuating environments. Previous studies on RPA of concentrations and fluxes (e.g., the passage of metabolites) lacked generality due to complex theories and specific kinetic assumptions. Here, we present a simple and general topological criterion for networks to exhibit RPA of all reaction fluxes against perturbations of kinetic parameters and conserved quantities. Our criterion is solely based on network structure, making it valid for any kinetics (e.g., mass-action or Michaelis-Menten kinetics). Applying this to <i>Escherichia coli</i> metabolic pathways, we identify key genes determining metabolic fluxes, validated by single-gene knockout experiments. Our approach also solves the mystery of why plant growth is affected by perturbations in only aspartate transcarbamoylase among various enzymes involved in pyrimidine metabolism. Our work informs key components of complex networks governing fluxes and provides critical information regarding long-term dynamics solely from network topology.

iScienceVol. 28(6)
Pohang University of Science and Technology (KR), Korea Advanced Institute of Science and Technology (KR), Asia Pacific Center for Theoretical Physics (KR), Institute for Basic Science (KR), Nippon Soken (Japan) (JP), RIKEN (JP)
Openalex Percentile: Top 93%
Gene Regulatory Network Analysis
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Topological criterion for robust perfect adaptation of reaction fluxes in biological networks — Yuji Hirono, Hyukpyo Hong, et al. · iScience (2025) | TGRS Research Map | TGRS