The browser you are using is not supported by this website. All versions of Internet Explorer are no longer supported, either by us or Microsoft (read more here: https://www.microsoft.com/en-us/microsoft-365/windows/end-of-ie-support).

Please use a modern browser to fully experience our website, such as the newest versions of Edge, Chrome, Firefox or Safari etc.

Modelling the evolution of genomes with integrated external and internal functions

Author

Summary, in English

The genomes that organisms transmit between generations contain information about different kinds of functions. The genome with the "best" mix and number of genes for these functions is the one that natural selection favours. Here I introduce a new way to model simple organisms with genes for external and internal functions, and use it to study the evolution of genome size. The external functions are exemplified by resource use and the internal functions by mutation control (repair). It is shown that even with a suitable proportion of genes for mutation control, the genomes in the organisms do not forever incorporate genes that increase resource use. Instead they evolve towards an optimal genome of limited size. The optimal proportion of genes for mutation control is shown to have an upper limit given by the ease with which transmission accuracy is improved by adding extra genes for this purpose to the genome. The model illustrates how natural selection on genomes integrates systems for the transmission of genetic information with systems relating to the external adaptation of the organism. It also opens Lip for other, more detailed theoretical investigations of genome functions.

Department/s

  • MEMEG
  • Evolutionary Genetics

Publishing year

2004

Language

English

Pages

271-278

Publication/Series

Journal of Theoretical Biology

Volume

231

Issue

2

Document type

Journal article

Publisher

Academic Press

Topic

  • Biological Sciences

Keywords

  • systems
  • gene number
  • mutation repair
  • genome evolution
  • genetic
  • adaptation

Status

Published

Research group

  • Evolutionary Genetics

ISBN/ISSN/Other

  • ISSN: 1095-8541