Literature DB >> 10353908

The causes of synonymous rate variation in the rodent genome. Can substitution rates be used to estimate the sex bias in mutation rate?

N G Smith1, L D Hurst.   

Abstract

Miyata et al. have suggested that the male-to-female mutation rate ratio (alpha) can be estimated by comparing the neutral substitution rates of X-linked (X), Y-linked (Y), and autosomal (A) genes. Rodent silent site X/A comparisons provide very different estimates from X/Y comparisons. We examine three explanations for this discrepancy: (1) statistical biases and artifacts, (2) nonneutral evolution, and (3) differences in mutation rate per germline replication. By estimating errors and using a variety of methodologies, we tentatively reject explanation 1. Our analyses of patterns of codon usage, synonymous rates, and nonsynonymous rates suggest that silent sites in rodents are evolving neutrally, and we can therefore reject explanation 2. We find both base composition and methylation differences between the different sets of chromosomes, a result consistent with explanation 3, but these differences do not appear to explain the observed discrepancies in estimates of alpha. Our finding of significantly low synonymous substitution rates in genomically imprinted genes suggests a link between hemizygous expression and an adaptive reduction in the mutation rate, which is consistent with explanation 3. Therefore our results provide circumstantial evidence in favor of the hypothesis that the discrepancies in estimates of alpha are due to differences in the mutation rate per germline replication between different parts of the genome. This explanation violates a critical assumption of the method of Miyata et al., and hence we suggest that estimates of alpha, obtained using this method, need to be treated with caution.

Mesh:

Substances:

Year:  1999        PMID: 10353908      PMCID: PMC1460631     

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


  40 in total

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Authors:  M Meguro; K Mitsuya; H Sui; K Shigenami; H Kugoh; M Nakao; M Oshimura
Journal:  Hum Mol Genet       Date:  1997-11       Impact factor: 6.150

2.  An evaluation of measures of synonymous codon usage bias.

Authors:  J M Comeron; M Aguadé
Journal:  J Mol Evol       Date:  1998-09       Impact factor: 2.395

Review 3.  Imprinting mechanisms.

Authors:  M Constância; B Pickard; G Kelsey; W Reik
Journal:  Genome Res       Date:  1998-09       Impact factor: 9.043

4.  Synonymous substitution rates in Drosophila: mitochondrial versus nuclear genes.

Authors:  E N Moriyama; J R Powell
Journal:  J Mol Evol       Date:  1997-10       Impact factor: 2.395

5.  A simple method for estimating evolutionary rates of base substitutions through comparative studies of nucleotide sequences.

Authors:  M Kimura
Journal:  J Mol Evol       Date:  1980-12       Impact factor: 2.395

6.  The MAS proto-oncogene is imprinted in human breast tissue.

Authors:  N Miller; A H McCann; D O'Connell; I S Pedersen; V Spiers; T Gorey; P A Dervan
Journal:  Genomics       Date:  1997-12-15       Impact factor: 5.736

Review 7.  Sex biases in the mutation rate.

Authors:  L D Hurst; H Ellegren
Journal:  Trends Genet       Date:  1998-11       Impact factor: 11.639

8.  Gene length and codon usage bias in Drosophila melanogaster, Saccharomyces cerevisiae and Escherichia coli.

Authors:  E N Moriyama; J R Powell
Journal:  Nucleic Acids Res       Date:  1998-07-01       Impact factor: 16.971

9.  Evolutionary parameters of the transcribed mammalian genome: an analysis of 2,820 orthologous rodent and human sequences.

Authors:  W Makalowski; M S Boguski
Journal:  Proc Natl Acad Sci U S A       Date:  1998-08-04       Impact factor: 11.205

10.  Mice lacking the beta3 subunit of the GABAA receptor have the epilepsy phenotype and many of the behavioral characteristics of Angelman syndrome.

Authors:  T M DeLorey; A Handforth; S G Anagnostaras; G E Homanics; B A Minassian; A Asatourian; M S Fanselow; A Delgado-Escueta; G D Ellison; R W Olsen
Journal:  J Neurosci       Date:  1998-10-15       Impact factor: 6.167

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  17 in total

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Journal:  Genetics       Date:  2000-08       Impact factor: 4.562

2.  Estimate of the mutation rate per nucleotide in humans.

Authors:  M W Nachman; S L Crowell
Journal:  Genetics       Date:  2000-09       Impact factor: 4.562

3.  Insertions and deletions are male biased too: a whole-genome analysis in rodents.

Authors:  Kateryna D Makova; Shan Yang; Francesca Chiaromonte
Journal:  Genome Res       Date:  2004-04       Impact factor: 9.043

Review 4.  Characteristics, causes and evolutionary consequences of male-biased mutation.

Authors:  Hans Ellegren
Journal:  Proc Biol Sci       Date:  2007-01-07       Impact factor: 5.349

5.  The site-wise log-likelihood score is a good predictor of genes under positive selection.

Authors:  Huai-Chun Wang; Edward Susko; Andrew J Roger
Journal:  J Mol Evol       Date:  2013-04-18       Impact factor: 2.395

6.  Functional constraints and frequency of deleterious mutations in noncoding DNA of rodents.

Authors:  Peter D Keightley; Daniel J Gaffney
Journal:  Proc Natl Acad Sci U S A       Date:  2003-11-03       Impact factor: 11.205

7.  Divergence of imprinted genes during mammalian evolution.

Authors:  Barbara Hutter; Matthias Bieg; Volkhard Helms; Martina Paulsen
Journal:  BMC Evol Biol       Date:  2010-04-29       Impact factor: 3.260

8.  Evidence that replication-associated mutation alone does not explain between-chromosome differences in substitution rates.

Authors:  Catherine J Pink; Siva K Swaminathan; Ian Dunham; Jane Rogers; Andrew Ward; Laurence D Hurst
Journal:  Genome Biol Evol       Date:  2009-04-30       Impact factor: 3.416

9.  Faster-X adaptive protein evolution in house mice.

Authors:  Athanasios Kousathanas; Daniel L Halligan; Peter D Keightley
Journal:  Genetics       Date:  2013-12-20       Impact factor: 4.562

10.  Evolution and survival on eutherian sex chromosomes.

Authors:  Melissa A Wilson; Kateryna D Makova
Journal:  PLoS Genet       Date:  2009-07-17       Impact factor: 5.917

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