Literature DB >> 8411204

Potential problems in estimating the male-to-female mutation rate ratio from DNA sequence data.

L C Shimmin1, B H Chang, D Hewett-Emmett, W H Li.   

Abstract

It is commonly believed that the rate of mutation is much higher in males than in females because the number of germ-cell divisions per generation is much larger in males than in females. However, the precise magnitude of the male-to-female mutation rate ratio (alpha m) remains unknown. Recently there have been efforts to estimate alpha m by using DNA sequence data from different species. We have studied the potential problems in such an approach. We found that the rate of synonymous substitution varies about fivefold among X-linked genes, as large as the variation among autosomal genes. This large variation makes the assumption of selective neutrality of synonymous changes dubious, so one should be cautious in using the synonymous rates in X-linked and autosomal genes to estimate alpha m. A similar difficulty was also observed in using nonhomologous intron sequences to estimate alpha m. Contrary to the expectation that X-linked sequences should evolve more slowly than autosomal sequences, the Alu repeat in the last intron of the X-linked zinc finger gene has evolved faster than the four autosomal Alu repeats used in this study. It appears that the best way to estimate alpha m is to use homologous sequences. However, such sequences may be involved in gene conversion events. In fact, we found evidence that the Y-linked and X-linked zinc finger genes have been involved in multiple conversion events during primate evolution. Thus, the possibility of gene conversion should be considered when using homologous sequences to estimate alpha m.

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Year:  1993        PMID: 8411204     DOI: 10.1007/bf02407351

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


  24 in total

1.  The mutation rate of the gene for haemophilia, and its segregation ratios in males and females.

Authors:  J B S HALDANE
Journal:  Ann Eugen       Date:  1947-06

2.  Mouse Zfx protein is similar to Zfy-2: each contains an acidic activating domain and 13 zinc fingers.

Authors:  G Mardon; S W Luoh; E M Simpson; G Gill; L G Brown; D C Page
Journal:  Mol Cell Biol       Date:  1990-02       Impact factor: 4.272

3.  Neighboring base effects on substitution rates in pseudogenes.

Authors:  M Bulmer
Journal:  Mol Biol Evol       Date:  1986-07       Impact factor: 16.240

4.  Directional fixation of mutations in vertebrate evolution.

Authors:  P Perrin; G Bernardi
Journal:  J Mol Evol       Date:  1987       Impact factor: 2.395

5.  Mutation rates differ among regions of the mammalian genome.

Authors:  K H Wolfe; P M Sharp; W H Li
Journal:  Nature       Date:  1989-01-19       Impact factor: 49.962

6.  Existence of at least three distinct Alu subfamilies.

Authors:  C Willard; H T Nguyen; C W Schmid
Journal:  J Mol Evol       Date:  1987       Impact factor: 2.395

7.  Unbiased estimation of the rates of synonymous and nonsynonymous substitution.

Authors:  W H Li
Journal:  J Mol Evol       Date:  1993-01       Impact factor: 2.395

Review 8.  A new method for estimating synonymous and nonsynonymous rates of nucleotide substitution considering the relative likelihood of nucleotide and codon changes.

Authors:  W H Li; C I Wu; C C Luo
Journal:  Mol Biol Evol       Date:  1985-03       Impact factor: 16.240

9.  Nonrandomness of point mutation as reflected in nucleotide substitutions in pseudogenes and its evolutionary implications.

Authors:  W H Li; C I Wu; C C Luo
Journal:  J Mol Evol       Date:  1984       Impact factor: 2.395

10.  A maximum likelihood estimate of the sex ratio of mutation rates in haemophilia A.

Authors:  R M Winter; E G Tuddenham; E Goldman; K B Matthews
Journal:  Hum Genet       Date:  1983       Impact factor: 4.132

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  10 in total

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

Authors:  N G Smith; L D Hurst
Journal:  Genetics       Date:  1999-06       Impact factor: 4.562

Review 2.  Genome analyses substantiate male mutation bias in many species.

Authors:  Melissa A Wilson Sayres; Kateryna D Makova
Journal:  Bioessays       Date:  2011-10-18       Impact factor: 4.345

Review 3.  Characteristics, causes and evolutionary consequences of male-biased mutation.

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

4.  Substitution rate heterogeneity and the male mutation bias.

Authors:  Sofia Berlin; Mikael Brandström; Niclas Backström; Erik Axelsson; Nick G C Smith; Hans Ellegren
Journal:  J Mol Evol       Date:  2006-02-10       Impact factor: 2.395

5.  Patterns of Y and X chromosome DNA sequence divergence during the Felidae radiation.

Authors:  J Pecon Slattery; S J O'Brien
Journal:  Genetics       Date:  1998-03       Impact factor: 4.562

6.  Weak male-driven molecular evolution in rodents.

Authors:  B H Chang; L C Shimmin; S K Shyue; D Hewett-Emmett; W H Li
Journal:  Proc Natl Acad Sci U S A       Date:  1994-01-18       Impact factor: 11.205

7.  Analysis of mutation rates in the SMCY/SMCX genes shows that mammalian evolution is male driven.

Authors:  A I Agulnik; C E Bishop; J L Lerner; S I Agulnik; V V Solovyev
Journal:  Mamm Genome       Date:  1997-02       Impact factor: 2.957

8.  A paternal bias in germline mutation is widespread in amniotes and can arise independently of cell division numbers.

Authors:  Marc de Manuel; Felix L Wu; Molly Przeworski
Journal:  Elife       Date:  2022-08-02       Impact factor: 8.713

9.  Contrasting rates of nucleotide substitution in the X-linked and Y-linked zinc finger genes.

Authors:  L C Shimmin; B H Chang; W H Li
Journal:  J Mol Evol       Date:  1994-12       Impact factor: 2.395

10.  Male Mutation Bias Is the Main Force Shaping Chromosomal Substitution Rates in Monotreme Mammals.

Authors:  Vivian Link; Diana Aguilar-Gómez; Ciro Ramírez-Suástegui; Laurence D Hurst; Diego Cortez
Journal:  Genome Biol Evol       Date:  2017-09-01       Impact factor: 3.416

  10 in total

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