Literature DB >> 14615583

On the relation between fluctuation and response in biological systems.

Katsuhiko Sato1, Yoichiro Ito, Tetsuya Yomo, Kunihiko Kaneko.   

Abstract

A general relationship between fluctuation and response in a biological system is presented. The fluctuation is given by the variance of some quantity, whereas the response is given as the average change of that quantity for a given parameter change. We propose a relationship where the two are proportional, in a similar way to the fluctuation-dissipation theorem in physics. By studying an evolution experiment where fluorescence of protein in bacteria increases, we confirm our relation by observing a positive correlation between the speed of fluorescence evolution and the phenotypic fluctuation of the fluorescence over clone bacteria. The generality of the relationship as well as its relevance to evolution is discussed.

Mesh:

Substances:

Year:  2003        PMID: 14615583      PMCID: PMC283550          DOI: 10.1073/pnas.2334996100

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


  13 in total

1.  Noise-based switches and amplifiers for gene expression.

Authors:  J Hasty; J Pradines; M Dolnik; J J Collins
Journal:  Proc Natl Acad Sci U S A       Date:  2000-02-29       Impact factor: 11.205

2.  The effect of field fluctuation on a macromolecular system.

Authors:  F Oosawa
Journal:  J Theor Biol       Date:  1975-07       Impact factor: 2.691

3.  Recursiveness, switching, and fluctuations in a replicating catalytic network.

Authors:  Kunihiko Kaneko
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2003-09-18

4.  Stochastic gene expression in a single cell.

Authors:  Michael B Elowitz; Arnold J Levine; Eric D Siggia; Peter S Swain
Journal:  Science       Date:  2002-08-16       Impact factor: 47.728

5.  Intrinsic and extrinsic contributions to stochasticity in gene expression.

Authors:  Peter S Swain; Michael B Elowitz; Eric D Siggia
Journal:  Proc Natl Acad Sci U S A       Date:  2002-09-17       Impact factor: 11.205

6.  Characterization of soluble artificial proteins with random sequences.

Authors:  A Yamauchi; T Yomo; F Tanaka; I D Prijambada; S Ohhashi; K Yamamoto; Y Shima; K Ogasahara; K Yutani; M Kataoka; I Urabe
Journal:  FEBS Lett       Date:  1998-01-09       Impact factor: 4.124

7.  Simultaneous observation of individual ATPase and mechanical events by a single myosin molecule during interaction with actin.

Authors:  A Ishijima; H Kojima; T Funatsu; M Tokunaga; H Higuchi; H Tanaka; T Yanagida
Journal:  Cell       Date:  1998-01-23       Impact factor: 41.582

8.  Solubility of artificial proteins with random sequences.

Authors:  I D Prijambada; T Yomo; F Tanaka; T Kawama; K Yamamoto; A Hasegawa; Y Shima; S Negoro; I Urabe
Journal:  FEBS Lett       Date:  1996-03-11       Impact factor: 4.124

9.  Rapid protein-folding assay using green fluorescent protein.

Authors:  G S Waldo; B M Standish; J Berendzen; T C Terwilliger
Journal:  Nat Biotechnol       Date:  1999-07       Impact factor: 54.908

10.  Single-molecule analysis of chemotactic signaling in Dictyostelium cells.

Authors:  M Ueda; Y Sako; T Tanaka; P Devreotes; T Yanagida
Journal:  Science       Date:  2001-10-26       Impact factor: 47.728

View more
  38 in total

1.  Evolvability is a selectable trait.

Authors:  David J Earl; Michael W Deem
Journal:  Proc Natl Acad Sci U S A       Date:  2004-08-02       Impact factor: 11.205

2.  Evolution and evolvability of proteins in the laboratory.

Authors:  Michael W Deem
Journal:  Proc Natl Acad Sci U S A       Date:  2004-03-15       Impact factor: 11.205

3.  Emerging of Stochastic Dynamical Equalities and Steady State Thermodynamics from Darwinian Dynamics.

Authors:  P Ao
Journal:  Commun Theor Phys       Date:  2008-05-15       Impact factor: 1.968

4.  Evolvability and single-genotype fluctuation in phenotypic properties: a simple heteropolymer model.

Authors:  Tao Chen; David Vernazobres; Tetsuya Yomo; Erich Bornberg-Bauer; Hue Sun Chan
Journal:  Biophys J       Date:  2010-06-02       Impact factor: 4.033

5.  Stochastic simulations of the origins and implications of long-tailed distributions in gene expression.

Authors:  Sandeep Krishna; Bidisha Banerjee; T V Ramakrishnan; G V Shivashankar
Journal:  Proc Natl Acad Sci U S A       Date:  2005-03-16       Impact factor: 11.205

6.  Fisher's theorems for multivariable, time- and space-dependent systems, with applications in population genetics and chemical kinetics.

Authors:  Marcel O Vlad; Stefan E Szedlacsek; Nader Pourmand; L Luca Cavalli-Sforza; Peter Oefner; John Ross
Journal:  Proc Natl Acad Sci U S A       Date:  2005-06-30       Impact factor: 11.205

7.  A quantitative study of lambda-phage SWITCH and its components.

Authors:  Chunbo Lou; Xiaojing Yang; Xili Liu; Bin He; Qi Ouyang
Journal:  Biophys J       Date:  2007-01-26       Impact factor: 4.033

8.  Self-optimization, community stability, and fluctuations in two individual-based models of biological coevolution.

Authors:  Per Arne Rikvold
Journal:  J Math Biol       Date:  2007-05-30       Impact factor: 2.259

9.  Relationship among phenotypic plasticity, phenotypic fluctuations, robustness, and evolvability; Waddington's legacy revisited under the spirit of Einstein.

Authors:  Kunihiko Kaneko
Journal:  J Biosci       Date:  2009-10       Impact factor: 1.826

10.  Conflict between noise and plasticity in yeast.

Authors:  Ben Lehner
Journal:  PLoS Genet       Date:  2010-11-04       Impact factor: 5.917

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.