Literature DB >> 497367

Bootstrapping on the adaptive landscape.

M Conrad.   

Abstract

Different versions of a gene or of a multigenic system may be essentially equivalent so far as the specific function of the structures which they code for or control is concerned, but very different with respect to their amenability to evolution. The structural features which increase evolutionary amenability are a disadvantage to the organism in terms of energy. Nevertheless, they accumulate in the course of evolution as a consequence of hitchhiking along with the desirable traits whose evolution they make possible. This is the bootstrap principle of evolutionary adaptability. In terms of the adaptive landscape bootstrapping corresponds to populations evolving in such a way that they occupy regions of the landscape which are more amenable to evolutionary hill climbing. The bootstrapping idea has implications for structure-function relations in a number of complex biological information processing systems, including biochemical systems, the immune system, and the brain. Bootstrapping is also discussed in connection with the origin of information processing (the origin of life) and in connection with possible designs for macromolecular computing systems.

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Year:  1979        PMID: 497367     DOI: 10.1016/0303-2647(79)90009-1

Source DB:  PubMed          Journal:  Biosystems        ISSN: 0303-2647            Impact factor:   1.973


  6 in total

1.  Between order and disorder in protein structures: analysis of "dual personality" fragments in proteins.

Authors:  Ying Zhang; Boguslaw Stec; Adam Godzik
Journal:  Structure       Date:  2007-09       Impact factor: 5.006

2.  Defining life or bringing biology to life.

Authors:  Kepa Ruiz-Mirazo; Juli Peretó; Alvaro Moreno
Journal:  Orig Life Evol Biosph       Date:  2010-02-25       Impact factor: 1.950

3.  Handicapped individua in evolutionary processes.

Authors:  R Galar
Journal:  Biol Cybern       Date:  1985       Impact factor: 2.086

4.  Computational modeling of evolutionary learning processes in the brain.

Authors:  R R Kampfner; M Conrad
Journal:  Bull Math Biol       Date:  1983       Impact factor: 1.758

5.  Extensive site-directed mutagenesis reveals interconnected functional units in the alkaline phosphatase active site.

Authors:  Fanny Sunden; Ariana Peck; Julia Salzman; Susanne Ressl; Daniel Herschlag
Journal:  Elife       Date:  2015-04-22       Impact factor: 8.140

6.  How evolution learns to generalise: Using the principles of learning theory to understand the evolution of developmental organisation.

Authors:  Kostas Kouvaris; Jeff Clune; Loizos Kounios; Markus Brede; Richard A Watson
Journal:  PLoS Comput Biol       Date:  2017-04-06       Impact factor: 4.475

  6 in total

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