Close
Help
Need Help?





JOURNAL

Evolutionary Bioinformatics

1,137,368 Journal Article Views | Journal Analytics

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



Publication Date: 26 Feb 2013

Type: Original Research

Journal: Evolutionary Bioinformatics

Citation: Evolutionary Bioinformatics 2013:9 43-68

doi: 10.4137/EBO.S10080

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
I must say publishing with Evolutionary Bioinformatics was a great and partially unexpected experience.  It allowed me to understand the name 'Libertas Academica' is not just a name but a real issue.  The reviewers offered us stringent, rigorous but totally unprejudiced comments, the editor supported us and the paper visibility was very good.  Thank you again.
Dr Alessandro Giuliani (Istituto Superiore di Sanità, Roma, Italy)
More Testimonials

Quick Links




Follow Us We make it easy to find new research papers.




SUBJECT HUBS
Author Survey Results
author_survey_results
All authors are surveyed after their articles are published. Authors are asked to rate their experience in a variety of areas, and their responses help us to monitor our performance. Presented here are their responses in some key areas. No 'poor' or 'very poor' responses were received; these are represented in the 'other' category.
See Our Results