Literature DB >> 9720274

Compensatory neutral mutations and the evolution of RNA.

P G Higgs1.   

Abstract

There are many examples of RNA molecules in which the secondary structure has been strongly conserved during evolution, but the base sequence is much less conserved, e.g., transfer RNA, ribosomal RNA, and ribonuclease P. A model of compensatory neutral mutations is used here to describe the evolution of the base sequence in RNA helices. There are two loci (i.e., the two sides of the pair) with four alleles at each locus (corresponding to A, C, G, U). Watson-Crick base pairs (AU, CG, GC, and UA) are each assigned a fitness 1, whilst all other pairs are treated as mismatches and assigned fitness 1-s. A population of N diploid individuals is considered with a mutation rate of u per base. For biologically reasonable parameter values, the frequency of mismatches is always small but the frequency of the four matching pairs can vary over a wide range. Using a diffusion model, the stationary distribution for the frequency x of any of the four matching pairs is calculated. The shape depends on the combination of variables beta = 8Nu2/9s. For small beta, the distribution diverges at the two extremes, x = 0 and x = 1-z, where z is the mean frequency of mismatches. The population typically consists almost entirely of one of the four types of matching pairs, but occasionally makes shifts between the four possible states. The mean rate at which these shifts occur is calculated here. The effect of recombination between the two loci is to decrease the probability density at intermediate x, and to increase the weight at the extremes. The rate of transition between the four states is slowed by recombination (as originally shown by Kimura in a two-allele model with irreversible mutation). A very small recombination rate r approximately u2/s is sufficient to increase the mean time between transitions dramatically. In addition to its application to RNA, this model is also relevant to the 'shifting balance' theory describing the drift of populations between alternative equilibria separated by low fitness valleys. Equilibrium values for the frequencies of the different allele combinations in an infinite population are also calculated. It is shown that for low recombination rates the equilibrium is symmetric, but there is a critical recombination rate above which alternative asymmetric equilibria become stable.

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Year:  1998        PMID: 9720274

Source DB:  PubMed          Journal:  Genetica        ISSN: 0016-6707            Impact factor:   1.082


  28 in total

1.  RNA sequence evolution with secondary structure constraints: comparison of substitution rate models using maximum-likelihood methods.

Authors:  N J Savill; D C Hoyle; P G Higgs
Journal:  Genetics       Date:  2001-01       Impact factor: 4.562

Review 2.  Coupled nucleotide covariations reveal dynamic RNA interaction patterns.

Authors:  A P Gultyaev; T Franch; K Gerdes
Journal:  RNA       Date:  2000-11       Impact factor: 4.942

3.  The evolution of tRNA-Leu genes in animal mitochondrial genomes.

Authors:  Paul G Higgs; Daniel Jameson; Howsun Jow; Magnus Rattray
Journal:  J Mol Evol       Date:  2003-10       Impact factor: 2.395

4.  Scaling expectations for the time to establishment of complex adaptations.

Authors:  Michael Lynch
Journal:  Proc Natl Acad Sci U S A       Date:  2010-09-07       Impact factor: 11.205

5.  The rate of establishment of complex adaptations.

Authors:  Michael Lynch; Adam Abegg
Journal:  Mol Biol Evol       Date:  2010-01-29       Impact factor: 16.240

6.  Bistability in two-locus models with selection, mutation, and recombination.

Authors:  Su-Chan Park; Joachim Krug
Journal:  J Math Biol       Date:  2010-07-09       Impact factor: 2.259

7.  A unified model of codon reassignment in alternative genetic codes.

Authors:  Supratim Sengupta; Paul G Higgs
Journal:  Genetics       Date:  2005-03-21       Impact factor: 4.562

8.  Compensatory evolution in RNA secondary structures increases substitution rate variation among sites.

Authors:  Jennifer L Knies; Kristen K Dang; Todd J Vision; Noah G Hoffman; Ronald Swanstrom; Christina L Burch
Journal:  Mol Biol Evol       Date:  2008-06-04       Impact factor: 16.240

9.  Stochastic tunnels in evolutionary dynamics.

Authors:  Yoh Iwasa; Franziska Michor; Martin A Nowak
Journal:  Genetics       Date:  2004-03       Impact factor: 4.562

10.  Diversity of 23S rRNA genes within individual prokaryotic genomes.

Authors:  Anna Pei; Carlos W Nossa; Pooja Chokshi; Martin J Blaser; Liying Yang; David M Rosmarin; Zhiheng Pei
Journal:  PLoS One       Date:  2009-05-05       Impact factor: 3.240

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