Literature DB >> 9691065

Evolution of multigene families by gene duplication. A haploid model.

H Tachida1, T Kuboyama.   

Abstract

Evolution of multigene families by gene duplication and subsequent diversification is analyzed assuming a haploid model without interchromosomal crossing over. Chromosomes with more different genes are assumed to have higher fitness. Advantageous and deleterious mutations and duplication/deletion also affect the evolution, as in previous studies. In addition, negative selection on the total number of genes (copy number selection) is incorporated in the model. First, a Markov chain approximation is used to obtain formulas for the average numbers of different alleles, genes without pseudogene mutations, and pseudogenes assuming that mutation rates and duplication/deletion rates are all very small. Computer simulation shows that the approximation works well if the products of population size with mutation and duplication/deletion rates are all small compared to 1. However, as they become large, the approximation underestimates gene numbers, especially the number of pseudogenes. Based on the approximation, the following was found: (1) Gene redundancy measured by the average number of redundant genes decreases as advantageous selection becomes stronger. (2) The number of different genes can be approximately described by a linear pure-birth process and thus has a coefficient of variation around 1. (3) The birth rate is an increasing function of population size without copy number selection, but not necessarily so otherwise. (4) Copy number selection drastically decreases the number of pseudogenes. Available data of mutation rates and duplication/deletion rates suggest much faster increases of gene numbers than those observed in the evolution of currently existing multigene families. Various explanations for this discrepancy are discussed based on our approximate analysis.

Mesh:

Year:  1998        PMID: 9691065      PMCID: PMC1460287     

Source DB:  PubMed          Journal:  Genetics        ISSN: 0016-6731            Impact factor:   4.562


  28 in total

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Authors:  M KIMURA; J F CROW
Journal:  Genetics       Date:  1964-04       Impact factor: 4.562

2.  The use of genetic complementation in the study of eukaryotic macromolecular evolution: rate of spontaneous gene duplication at two loci of Drosophila melanogaster.

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Journal:  J Mol Evol       Date:  1986       Impact factor: 2.395

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Authors:  E M Lyckegaard; A G Clark
Journal:  Proc Natl Acad Sci U S A       Date:  1989-03       Impact factor: 11.205

4.  Evolutionary conservation of the chromosomal configuration and regulation of amylase genes among eight species of the Drosophila melanogaster species subgroup.

Authors:  V Payant; S Abukashawa; M Sasseville; B F Benkel; D A Hickey; J David
Journal:  Mol Biol Evol       Date:  1988-09       Impact factor: 16.240

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Authors:  W Stephan
Journal:  Genet Res       Date:  1986-06       Impact factor: 1.588

6.  A model of evolution for accumulating genetic information.

Authors:  T Ohta
Journal:  J Theor Biol       Date:  1987-01-21       Impact factor: 2.691

7.  Theoretical study on the accumulation of selfish DNA.

Authors:  T Ohta
Journal:  Genet Res       Date:  1983-02       Impact factor: 1.588

8.  Polymorphism for the number of tandemly multiplicated glycerol-3-phosphate dehydrogenase genes in Drosophila melanogaster.

Authors:  T Takano; S Kusakabe; A Koga; T Mukai
Journal:  Proc Natl Acad Sci U S A       Date:  1989-07       Impact factor: 11.205

9.  DNA sequence evolution of the amylase multigene family in Drosophila pseudoobscura.

Authors:  C J Brown; C F Aquadro; W W Anderson
Journal:  Genetics       Date:  1990-09       Impact factor: 4.562

10.  Molecular evolution of Drosophila metallothionein genes.

Authors:  B W Lange; C H Langley; W Stephan
Journal:  Genetics       Date:  1990-12       Impact factor: 4.562

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  2 in total

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Authors:  Susanne Roosen; Kay Exner; Sven Paul; Jens-Michael Schröder; Ernst Kalm; Christian Looft
Journal:  Mamm Genome       Date:  2004-10       Impact factor: 2.957

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Authors:  Oliver Bruhn; Joachim Grötzinger; Ingolf Cascorbi; Sascha Jung
Journal:  Vet Res       Date:  2011-09-02       Impact factor: 3.683

  2 in total

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