Literature DB >> 10485897

Emergence of homeostasis and "noise imprinting" in an evolution model.

M D Stern1.   

Abstract

Homeostasis, the creation of a stabilized internal milieu, is ubiquitous in biological evolution, despite the entropic cost of excluding noise information from a region. The advantages of stability seem self evident, but the alternatives are not so clear. This issue was studied by means of numerical experiments on a simple evolution model: a population of Boolean network "organisms" selected for performance of a curve-fitting task while subjected to noise. During evolution, noise sensitivity increased with fitness. Noise exclusion evolved spontaneously, but only if the noise was sufficiently unpredictable. Noise that was limited to one or a few stereotyped patterns caused symmetry breaking that prevented noise exclusion. Instead, the organisms incorporated the noise into their function at little cost in ultimate fitness and became totally noise dependent. This "noise imprinting" suggests caution when interpreting apparent adaptations seen in nature. If the noise was totally random from generation to generation, noise exclusion evolved reliably and irreversibly, but if the noise was correlated over several generations, maladaptive selection of noise-dependent traits could reverse noise exclusion, with catastrophic effect on population fitness. Noise entering the selection process rather than the organism had a different effect: adaptive evolution was totally abolished above a critical noise amplitude, in a manner resembling a thermodynamic phase transition. Evolutionary adaptation to noise involves the creation of a subsystem screened from noise information but increasingly vulnerable to its effects. Similar considerations may apply to information channeling in human cultural evolution.

Entities:  

Mesh:

Year:  1999        PMID: 10485897      PMCID: PMC17954          DOI: 10.1073/pnas.96.19.10746

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  14 in total

1.  A hierarchical approach to protein molecular evolution.

Authors:  L D Bogarad; M W Deem
Journal:  Proc Natl Acad Sci U S A       Date:  1999-03-16       Impact factor: 11.205

2.  Evolution of microbial diversity during prolonged starvation.

Authors:  S E Finkel; R Kolter
Journal:  Proc Natl Acad Sci U S A       Date:  1999-03-30       Impact factor: 11.205

3.  Population and quantitative genetics of regulatory networks.

Authors:  S A Frank
Journal:  J Theor Biol       Date:  1999-04-07       Impact factor: 2.691

4.  The evolution of emergent computation.

Authors:  J P Crutchfield; M Mitchell
Journal:  Proc Natl Acad Sci U S A       Date:  1995-11-07       Impact factor: 11.205

5.  Putting more genetics into genetic algorithms.

Authors:  D S Burke; K A De Jong; J J Grefenstette; C L Ramsey; A S Wu
Journal:  Evol Comput       Date:  1998       Impact factor: 3.277

6.  Genomic regulation modeled as a network with basins of attraction.

Authors:  A Wuensche
Journal:  Pac Symp Biocomput       Date:  1998

Review 7.  Genetic control of cell division patterns in developing plants.

Authors:  E M Meyerowitz
Journal:  Cell       Date:  1997-02-07       Impact factor: 41.582

8.  Metabolic stability and epigenesis in randomly constructed genetic nets.

Authors:  S A Kauffman
Journal:  J Theor Biol       Date:  1969-03       Impact factor: 2.691

9.  Genetic algorithms: principles of natural selection applied to computation.

Authors:  S Forrest
Journal:  Science       Date:  1993-08-13       Impact factor: 47.728

10.  Evolution of optimal behaviour in networks of Boolean automata.

Authors:  M A Beaumont
Journal:  J Theor Biol       Date:  1993-12-21       Impact factor: 2.691

View more
  7 in total

1.  The role of certain Post classes in Boolean network models of genetic networks.

Authors:  Ilya Shmulevich; Harri Lähdesmäki; Edward R Dougherty; Jaakko Astola; Wei Zhang
Journal:  Proc Natl Acad Sci U S A       Date:  2003-09-08       Impact factor: 11.205

2.  Canalizing Kauffman networks: nonergodicity and its effect on their critical behavior.

Authors:  André Auto Moreira; Luís A Nunes Amaral
Journal:  Phys Rev Lett       Date:  2005-06-03       Impact factor: 9.161

3.  Boolean dynamics of biological networks with multiple coupled feedback loops.

Authors:  Yung-Keun Kwon; Kwang-Hyun Cho
Journal:  Biophys J       Date:  2007-01-26       Impact factor: 4.033

4.  Nested Canalyzing, Unate Cascade, and Polynomial Functions.

Authors:  Abdul Salam Jarrah; Blessilda Raposa; Reinhard Laubenbacher
Journal:  Physica D       Date:  2007-09-15       Impact factor: 2.300

5.  Investigations into the relationship between feedback loops and functional importance of a signal transduction network based on Boolean network modeling.

Authors:  Yung-Keun Kwon; Sun Shim Choi; Kwang-Hyun Cho
Journal:  BMC Bioinformatics       Date:  2007-10-15       Impact factor: 3.169

6.  Emergence and maintenance of functional modules in signaling pathways.

Authors:  Orkun S Soyer
Journal:  BMC Evol Biol       Date:  2007-10-31       Impact factor: 3.260

7.  Intrinsic noise and deviations from criticality in Boolean gene-regulatory networks.

Authors:  Pablo Villegas; José Ruiz-Franco; Jorge Hidalgo; Miguel A Muñoz
Journal:  Sci Rep       Date:  2016-10-07       Impact factor: 4.379

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.