Ubiquity of log-normal distributions in intra-cellular reaction dynamics

The discovery of two fundamental laws concerning cellular dynamics with recursive growth is reported. Firstly, the chemical abundances measured over many cells were found to obey a log-normal distribution and secondly, the relationship between the average and standard deviation of the abundances was found to be linear. The ubiquity of these laws was explored both theoretically and experimentally. By means of a model with a catalytic reaction network, the laws were shown to exist near a critical state with efficient self-reproduction. Additionally, by measuring distributions of fluorescent proteins in bacteria cells, the ubiquity of log-normal distribution of protein abundances was confirmed. Relevance of these findings to cellular function and biological plasticity is briefly discussed.

[1]  A. Kolmogorov A refinement of previous hypotheses concerning the local structure of turbulence in a viscous incompressible fluid at high Reynolds number , 1962, Journal of Fluid Mechanics.

[2]  Ertugrul M. Ozbudak,et al.  Regulation of noise in the expression of a single gene , 2002, Nature Genetics.

[3]  Yoichiro Ito,et al.  Evolution of an Arbitrary Sequence in Solubility , 2004, Journal of Molecular Evolution.

[4]  F. Neidhardt,et al.  Culture Medium for Enterobacteria , 1974, Journal of bacteriology.

[5]  Jeffrey W. Smith,et al.  Stochastic Gene Expression in a Single Cell , 2022 .

[6]  E. Amann,et al.  Tightly regulated tac promoter vectors useful for the expression of unfused and fused proteins in Escherichia coli. , 1988, Gene.

[7]  Kunihiko Kaneko,et al.  Recursiveness, switching, and fluctuations in a replicating catalytic network. , 2003, Physical review. E, Statistical, nonlinear, and soft matter physics.

[8]  J. Paulsson Summing up the noise in gene networks , 2004, Nature.

[9]  A. Arkin,et al.  Stochastic mechanisms in gene expression. , 1997, Proceedings of the National Academy of Sciences of the United States of America.

[10]  Mads Kærn,et al.  Noise in eukaryotic gene expression , 2003, Nature.

[11]  B. Glick,et al.  Rapidly maturing variants of the Discosoma red fluorescent protein (DsRed) , 2002, Nature Biotechnology.

[12]  B. Wanner,et al.  One-step inactivation of chromosomal genes in Escherichia coli K-12 using PCR products. , 2000, Proceedings of the National Academy of Sciences of the United States of America.

[13]  T. Yanagida,et al.  Single-Molecule Analysis of Chemotactic Signaling in Dictyostelium Cells , 2001, Science.

[14]  Tetsuya Yomo,et al.  Universality and flexibility in gene expression from bacteria to human. , 2004, Proceedings of the National Academy of Sciences of the United States of America.

[15]  V. Kuznetsov,et al.  General statistics of stochastic process of gene expression in eukaryotic cells. , 2002, Genetics.

[16]  C. Furusawa,et al.  Zipf's law in gene expression. , 2002, Physical review letters.

[17]  Tetsuya Yomo,et al.  Random Mutagenesis of Glutamine Synthetase from Escherichia coli; Correlation between Structure, Activity, and Fitness , 1994 .

[18]  G. Shivashankar,et al.  Tracking operator state fluctuations in gene expression in single cells. , 2004, Biophysical journal.

[19]  J. Hasty,et al.  Noise-based switches and amplifiers for gene expression. , 2000, Proceedings of the National Academy of Sciences of the United States of America.

[20]  P. Swain,et al.  Intrinsic and extrinsic contributions to stochasticity in gene expression , 2002, Proceedings of the National Academy of Sciences of the United States of America.

[21]  Yoichiro Ito,et al.  On the relation between fluctuation and response in biological systems , 2003, Proceedings of the National Academy of Sciences of the United States of America.