Literature DB >> 15980155

The application of statistical physics to evolutionary biology.

Guy Sella1, Aaron E Hirsh.   

Abstract

A number of fundamental mathematical models of the evolutionary process exhibit dynamics that can be difficult to understand analytically. Here we show that a precise mathematical analogy can be drawn between certain evolutionary and thermodynamic systems, allowing application of the powerful machinery of statistical physics to analysis of a family of evolutionary models. Analytical results that follow directly from this approach include the steady-state distribution of fixed genotypes and the load in finite populations. The analogy with statistical physics also reveals that, contrary to a basic tenet of the nearly neutral theory of molecular evolution, the frequencies of adaptive and deleterious substitutions at steady state are equal. Finally, just as the free energy function quantitatively characterizes the balance between energy and entropy, a free fitness function provides an analytical expression for the balance between natural selection and stochastic drift.

Mesh:

Year:  2005        PMID: 15980155      PMCID: PMC1172247          DOI: 10.1073/pnas.0501865102

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


  28 in total

1.  Neutral evolution of mutational robustness.

Authors:  E van Nimwegen; J P Crutchfield; M Huynen
Journal:  Proc Natl Acad Sci U S A       Date:  1999-08-17       Impact factor: 11.205

2.  Stochastic processes and distribution of gene frequencies under natural selection.

Authors:  M KIMURA
Journal:  Cold Spring Harb Symp Quant Biol       Date:  1955

3.  Theoretical study of near neutrality. I. Heterozygosity and rate of mutant substitution.

Authors:  T Ohta; H Tachida
Journal:  Genetics       Date:  1990-09       Impact factor: 4.562

4.  Compensatory nearly neutral mutations: selection without adaptation.

Authors:  D L Hartl; C H Taubes
Journal:  J Theor Biol       Date:  1996-10-07       Impact factor: 2.691

5.  Compositional constraints and genome evolution.

Authors:  G Bernardi; G Bernardi
Journal:  J Mol Evol       Date:  1986       Impact factor: 2.395

6.  Compensating for our load of mutations: freezing the meltdown of small populations.

Authors:  A Poon; S P Otto
Journal:  Evolution       Date:  2000-10       Impact factor: 3.694

7.  The hitch-hiking effect of a favourable gene.

Authors:  J M Smith; J Haigh
Journal:  Genet Res       Date:  1974-02       Impact factor: 1.588

8.  Protein polymorphism as a phase of molecular evolution.

Authors:  M Kimura; T Ohta
Journal:  Nature       Date:  1971-02-12       Impact factor: 49.962

9.  An interpretation and proof of the Fundamental Theorem of Natural Selection.

Authors:  W J Ewens
Journal:  Theor Popul Biol       Date:  1989-10       Impact factor: 1.570

10.  Neural networks and physical systems with emergent collective computational abilities.

Authors:  J J Hopfield
Journal:  Proc Natl Acad Sci U S A       Date:  1982-04       Impact factor: 11.205

View more
  132 in total

1.  Evolutionary origins of transcription factor binding site clusters.

Authors:  Xin He; Thyago S P C Duque; Saurabh Sinha
Journal:  Mol Biol Evol       Date:  2011-11-10       Impact factor: 16.240

2.  Amino acid coevolution induces an evolutionary Stokes shift.

Authors:  David D Pollock; Grant Thiltgen; Richard A Goldstein
Journal:  Proc Natl Acad Sci U S A       Date:  2012-04-30       Impact factor: 11.205

3.  The nearly neutral and selection theories of molecular evolution under the fisher geometrical framework: substitution rate, population size, and complexity.

Authors:  Pablo Razeto-Barry; Javier Díaz; Rodrigo A Vásquez
Journal:  Genetics       Date:  2012-03-16       Impact factor: 4.562

4.  The statistical mechanics of a polygenic character under stabilizing selection, mutation and drift.

Authors:  Harold P de Vladar; Nick H Barton
Journal:  J R Soc Interface       Date:  2010-11-17       Impact factor: 4.118

5.  Molecular evolution, mutation size and gene pleiotropy: a geometric reexamination.

Authors:  Pablo Razeto-Barry; Javier Díaz; Darko Cotoras; Rodrigo A Vásquez
Journal:  Genetics       Date:  2010-12-31       Impact factor: 4.562

6.  Energetics and population genetics at the root of eukaryotic cellular and genomic complexity.

Authors:  Eugene V Koonin
Journal:  Proc Natl Acad Sci U S A       Date:  2015-12-23       Impact factor: 11.205

7.  Are there ergodic limits to evolution? Ergodic exploration of genome space and convergence.

Authors:  Tom C B McLeish
Journal:  Interface Focus       Date:  2015-12-06       Impact factor: 3.906

8.  Evolutionary framework for protein sequence evolution and gene pleiotropy.

Authors:  Xun Gu
Journal:  Genetics       Date:  2007-02-04       Impact factor: 4.562

9.  Minimum epistasis interpolation for sequence-function relationships.

Authors:  Juannan Zhou; David M McCandlish
Journal:  Nat Commun       Date:  2020-04-14       Impact factor: 14.919

10.  Evolutionary processes in finite populations.

Authors:  Dirk M Lorenz; Jeong-Man Park; Michael W Deem
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2013-02-13
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.