Close
Help





JOURNAL

Evolutionary Bioinformatics

A Unifying Mathematical Framework for Genetic Robustness, Environmental Robustness, Network Robustness and their Trade-off on Phenotype Robustness in Biological Networks Part I: Gene Regulatory Networks in Systems and Evolutionary Biology

Submit a Paper


Evolutionary Bioinformatics 2013:9 43-68

Original Research

Published on 26 Feb 2013

DOI: 10.4137/EBO.S10080


Further metadata provided in PDF



Sign up for Email Alerts and keep in touch with Evolutionary Bioinformatics journal news, updates, events and articles

Abstract

Robust stabilization and environmental disturbance attenuation are ubiquitous systematic properties observed in biological systems at different levels. The underlying principles for robust stabilization and environmental disturbance attenuation are universal to bo th complex biological systems and sophisticated engineering systems. In many biological networks, network robustness should be enough to confer intrinsic robustness in order to tolerate intrinsic parameter fluctuations, genetic robustness for buffering genetic variations, and environmental robustness for resisting environmental disturbances. With this, the phenotypic stability of biological network can be maintained, thus guaranteeing phenotype robustness. This paper presents a survey on biological systems and then develops a unifying mathematical framework for investigating the principles of both robust stabilization and environmental disturbance attenuation in systems and evolutionary biology. Further, from the unifying mathematical framework, it was discovered that the phenotype robustness criterion for biological networks at different levels relies upon intrinsic robustness + genetic robustness + environmental robustness % network robustness. When this is true, the phenotype robustness can be maintained in spite of intrinsic parameter fluctuations, genetic variations, and environmental disturbances. Therefore, the trade-offs between intrinsic robustness, genetic robustness, environmental robustness, and network robustness in systems and evolutionary biology can also be investigated through their corresponding phenotype robustness criterion from the systematic point of view.



Downloads

PDF  (1.55 MB PDF FORMAT)

RIS citation   (ENDNOTE, REFERENCE MANAGER, PROCITE, REFWORKS)

BibTex citation   (BIBDESK, LATEX)

XML




What Your Colleagues Say About Evolutionary Bioinformatics
Having just published in a Libertas Academica journal (Evolutionary Bioinformatics) for the first time, I can attest that I was impressed by the process. Every stage from submission to typesetting and correspondence on matters relating to publishing was simple and efficient. In addition to this, regular updates of the status of the manuscript (with clear explanation of the status) enabled the process to be transparent and informative. I would not hesitate to use Libertas Academica ...
Dr Kevin Arbuckle (University of Liverpool, Merseyside, UK)
More Testimonials

Quick Links


New article and journal news notification services