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PMID: 14762706 Published · ppublish English Journal Article

Calculating biological behaviors of epigenetic states in the phage lambda life cycle.

Functional & integrative genomics ·Vol. 4 ·No. 3 ·2004-07-00 ·Pages 188-95

Zhu XM, Yin L, Hood L, Ao P

Abstract

The biology and behavior of bacteriophage lambda regulation have been the focus of classical investigations of molecular control of gene expression. Both qualitative and quantitative aspects of this behavior have been systematically characterized experimentally. Complete understanding of the robustness and stability of the genetic circuitry for the lysis-lysogeny switch remains an unsolved puzzle. It is an excellent test case for our understanding of biological behavior of an integrated network based on its physical, chemical, DNA, protein, and functional properties. We have used a new approach to non-linear dynamics to formulate a new mathematical model, performed a theoretical study on the phage lambda life cycle, and solved the crucial part of this puzzle. We find a good quantitative agreement between the theoretical calculation and published experimental observations in the protein number levels, the lysis frequency in the lysogen culture, and the lysogenization frequency for mutants of O(R). We also predict the desired robustness for the lambda genetic switch. We believe that this is the first successful example in the quantitative calculation of robustness and stability of the phage lambda regulatory network, one of the simplest and most well-studied regulatory systems.

MeSH Terms
Bacteriophage lambda/genetics,physiology Epigenesis, Genetic Gene Regulatory Networks Lysogeny/genetics Models, Genetic Nonlinear Dynamics Operator Regions, Genetic Promoter Regions, Genetic Stochastic Processes
Authors & Affiliations
4 authors, click to expand affiliations / ORCID
Zhu X-M
GENMATH, 5525 27th Avenue N.E., Seattle, WA 98105, USA.
Yin L
Hood L
Ao P
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Article Info
Journal
Functional & integrative genomics
Abbr.
Funct Integr Genomics
ISSN
1438-7948
Published
2004-07-00
Epub
2004-00-05
Pages
188-95
Language
English
Region
Germany
NLM ID
100939343
Subset
IM
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