Literature DB >> 24729131

Homeostasis and dynamic stability of the phenotype link robustness and plasticity.

H Frederik Nijhout1, Michael C Reed2.   

Abstract

Phenotypes are remarkably robust to genetic and environmental variation. Although the general control principles of robustness are well understood in simple systems, the actual mechanisms that convey robustness in realistically complex systems have been little studied. We have studied the origins and properties of robustness in a complex metabolic system that is relevant to human health: folate-mediated one-carbon metabolism (FOCM). The FOCM network consists of several interlocking cycles, and reactions in the system contain the rate-limiting steps for DNA synthesis, the reactions for DNA methylation, and the synthesis of glutathione, the primary endogenous anti-oxidant. Defects in FOCM can arise from mutations in enzymes, or from nutritional deficiencies such as folic acid and vitamins B6 and B12, and are associated with birth defects, anemia, cardiovascular disease, and cancer. We show that this metabolic network has evolved as diverse homeostatic mechanisms that stabilize critical reactions against genetic and environmental variation. These mechanisms achieve stability dynamically, by continually altering some reaction rates in order to keep critical reactions stable. Robustness is a systems property and exists only in restricted regions of genotype space, and we show that natural standing genetic variation in human populations is concentrated in these regions. We show how genetic perturbations and/or environmental shifts that disrupt the homeostatic regime can increase phenotypic variation and the correlation between standing genetic variation and phenotypic variation. Robustness and stability are never perfect and, because they are maintained dynamically, can be readily perturbed by both genetic and environmental factors. The tightrope between stability and change sways easily and, through the release of genetic variation, may be an important enabler of rapid phenotypic evolution. Although we use examples from a metabolic system in which quantification of mechanism is particularly accessible, we note that the same principles obtain in other homeostatic systems in physiology and development.
© The Author 2014. Published by Oxford University Press on behalf of the Society for Integrative and Comparative Biology. All rights reserved. For permissions please email: journals.permissions@oup.com.

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Year:  2014        PMID: 24729131     DOI: 10.1093/icb/icu010

Source DB:  PubMed          Journal:  Integr Comp Biol        ISSN: 1540-7063            Impact factor:   3.326


  11 in total

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Journal:  J Math Biol       Date:  2016-06-02       Impact factor: 2.259

2.  Infinitesimal homeostasis in three-node input-output networks.

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Journal:  J Math Biol       Date:  2020-01-09       Impact factor: 2.259

3.  Analysis of Homeostatic Mechanisms in Biochemical Networks.

Authors:  Michael Reed; Janet Best; Martin Golubitsky; Ian Stewart; H Frederik Nijhout
Journal:  Bull Math Biol       Date:  2017-09-07       Impact factor: 1.758

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Authors:  Guimei Ran; Yixuan Wang; Haochen Liu; Chunxiang Wei; Tao Zhu; Haidong Wang; Hua He; Xiaoquan Liu
Journal:  Dis Markers       Date:  2017-05-25       Impact factor: 3.434

5.  Robustness, flexibility, and sensitivity in a multifunctional motor control model.

Authors:  David N Lyttle; Jeffrey P Gill; Kendrick M Shaw; Peter J Thomas; Hillel J Chiel
Journal:  Biol Cybern       Date:  2016-12-21       Impact factor: 2.086

6.  Rat liver folate metabolism can provide an independent functioning of associated metabolic pathways.

Authors:  Aleksandr V Zaitsev; Michael V Martinov; Victor M Vitvitsky; Fazoil I Ataullakhanov
Journal:  Sci Rep       Date:  2019-05-21       Impact factor: 4.379

7.  Using mathematical models to understand metabolism, genes, and disease.

Authors:  H Frederik Nijhout; Janet A Best; Michael C Reed
Journal:  BMC Biol       Date:  2015-09-23       Impact factor: 7.431

8.  Predicting performance and plasticity in the development of respiratory structures and metabolic systems.

Authors:  Kendra J Greenlee; Kristi L Montooth; Bryan R Helm
Journal:  Integr Comp Biol       Date:  2014-05-08       Impact factor: 3.326

9.  Evaluating Alzheimer's Disease Progression by Modeling Crosstalk Network Disruption.

Authors:  Haochen Liu; Chunxiang Wei; Hua He; Xiaoquan Liu
Journal:  Front Neurosci       Date:  2016-01-19       Impact factor: 4.677

10.  Sex differences in hepatic one-carbon metabolism.

Authors:  Farrah Sadre-Marandi; Thabat Dahdoul; Michael C Reed; H Frederik Nijhout
Journal:  BMC Syst Biol       Date:  2018-10-24
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