Literature DB >> 19387745

The evolutionary reduction principle for linear variation in genetic transmission.

Lee Altenberg1.   

Abstract

The evolution of genetic systems has been analyzed through the use of modifier gene models, in which a neutral gene is posited to control the transmission of other genes under selection. Analysis of modifier gene models has found the manifestations of an "evolutionary reduction principle": in a population near equilibrium, a new modifier allele that scales equally all transition probabilities between different genotypes under selection can invade if and only if it reduces the transition probabilities. Analytical results on the reduction principle have always required some set of constraints for tractability: limitations to one or two selected loci, two alleles per locus, specific selection regimes or weak selection, specific genetic processes being modified, extreme or infinitesimal effects of the modifier allele, or tight linkage between modifier and selected loci. Here, I prove the reduction principle in the absence of any of these constraints, confirming a twenty-year-old conjecture. The proof is obtained by a wider application of Karlin's Theorem 5.2 (Karlin in Evolutionary biology, vol. 14, pp. 61-204, Plenum, New York, 1982) and its extension to ML-matrices, substochastic matrices, and reducible matrices.

Mesh:

Year:  2009        PMID: 19387745     DOI: 10.1007/s11538-009-9401-2

Source DB:  PubMed          Journal:  Bull Math Biol        ISSN: 0092-8240            Impact factor:   1.758


  3 in total

1.  Resolvent positive linear operators exhibit the reduction phenomenon.

Authors:  Lee Altenberg
Journal:  Proc Natl Acad Sci U S A       Date:  2012-02-22       Impact factor: 11.205

2.  Unified reduction principle for the evolution of mutation, migration, and recombination.

Authors:  Lee Altenberg; Uri Liberman; Marcus W Feldman
Journal:  Proc Natl Acad Sci U S A       Date:  2017-03-06       Impact factor: 11.205

3.  Rapid transition towards the Division of Labor via evolution of developmental plasticity.

Authors:  Sergey Gavrilets
Journal:  PLoS Comput Biol       Date:  2010-06-10       Impact factor: 4.475

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.