Literature DB >> 22212997

A model of genetic search for beneficial mutations: estimating the constructive capacities of mutagenesis.

Grigory G Ananko1.   

Abstract

We attempted to answer the following question: What evolutionary conditions are required to generate novel genetic modules? Our broad formulation of the problem allows us to simultaneously consider such issues as the relationship between the stage of "genetic search" and the rate of adaptive evolution; the theoretical limits to the generative capacities of spontaneous mutagenesis; and the correlation between genome organization and evolvability. We show that adaptive evolution is feasible only when the mutation rate is fine-tuned to a specific range of values and the structures of the genome and genes are optimized in a certain way. Our quantitative analysis has demonstrated that the rate of evolution of novelty depends on several parameters, such as genome size, the length of a module, the size of the adjacent nonfunctional DNA spacers, and the mutation rate at various genomic scales. We evaluated the efficiency of some mechanisms that increase evolvability: bias in the spectrum of mutation rates towards small mutations, and the availability and size of nonfunctional DNA spacers. We show that the probability of successful duplication and insertion of a copy of a functional module increases by several orders of magnitude depending on the length of the spacers flanking the module. We infer that the adaptive evolution of multicellular organisms has become feasible because of the abundance of nonfunctional DNA spacers, particularly introns, in the genome. We also discuss possible reasons underlying evolutionary retention of the mechanisms that increase evolvability.

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Year:  2012        PMID: 22212997     DOI: 10.1007/s00239-011-9482-z

Source DB:  PubMed          Journal:  J Mol Evol        ISSN: 0022-2844            Impact factor:   2.395


  55 in total

1.  Intron evolution as a population-genetic process.

Authors:  Michael Lynch
Journal:  Proc Natl Acad Sci U S A       Date:  2002-04-30       Impact factor: 11.205

2.  [Functional systems and blockwise evolution: the relationship between fixation of new domain copies and the present structure of the associations in the functional system].

Authors:  G G Anan'ko
Journal:  Genetika       Date:  2002-04

Review 3.  Protein domains correlate strongly with exons in multiple eukaryotic genomes--evidence of exon shuffling?

Authors:  Mingyi Liu; Andrei Grigoriev
Journal:  Trends Genet       Date:  2004-09       Impact factor: 11.639

4.  Splicing signals in Drosophila: intron size, information content, and consensus sequences.

Authors:  S M Mount; C Burks; G Hertz; G D Stormo; O White; C Fields
Journal:  Nucleic Acids Res       Date:  1992-08-25       Impact factor: 16.971

5.  Nested genes in the human genome.

Authors:  Peng Yu; Dalong Ma; Mingxu Xu
Journal:  Genomics       Date:  2005-10       Impact factor: 5.736

6.  Global analysis of exon creation versus loss and the role of alternative splicing in 17 vertebrate genomes.

Authors:  Alexander V Alekseyenko; Namshin Kim; Christopher J Lee
Journal:  RNA       Date:  2007-03-16       Impact factor: 4.942

7.  The frailty of adaptive hypotheses for the origins of organismal complexity.

Authors:  Michael Lynch
Journal:  Proc Natl Acad Sci U S A       Date:  2007-05-09       Impact factor: 11.205

8.  Recent de novo origin of human protein-coding genes.

Authors:  David G Knowles; Aoife McLysaght
Journal:  Genome Res       Date:  2009-09-02       Impact factor: 9.043

9.  Did genetic drift drive increases in genome complexity?

Authors:  Kenneth D Whitney; Theodore Garland
Journal:  PLoS Genet       Date:  2010-08-26       Impact factor: 5.917

10.  The effect of intron length on exon creation ratios during the evolution of mammalian genomes.

Authors:  Meenakshi Roy; Namshin Kim; Yi Xing; Christopher Lee
Journal:  RNA       Date:  2008-09-16       Impact factor: 4.942

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