Literature DB >> 20516497

Estimating the parameters of selection on nonsynonymous mutations in Drosophila pseudoobscura and D. miranda.

Penelope R Haddrill1, Laurence Loewe, Brian Charlesworth.   

Abstract

We present the results of surveys of diversity in sets of >40 X-linked and autosomal loci in samples from natural populations of Drosophila miranda and D. pseudoobscura, together with their sequence divergence from D. affinis. Mean silent site diversity in D. miranda is approximately one-quarter of that in D. pseudoobscura; mean X-linked silent diversity is about three-quarters of that for the autosomes in both species. Estimates of the distribution of selection coefficients against heterozygous, deleterious nonsynonymous mutations from two different methods suggest a wide distribution, with coefficients of variation greater than one, and with the average segregating amino acid mutation being subject to only very weak selection. Only a small fraction of new amino acid mutations behave as effectively neutral, however. A large fraction of amino acid differences between D. pseudoobscura and D. affinis appear to have been fixed by positive natural selection, using three different methods of estimation; estimates between D. miranda and D. affinis are more equivocal. Sources of bias in the estimates, especially those arising from selection on synonymous mutations and from the choice of genes, are discussed and corrections for these applied. Overall, the results show that both purifying selection and positive selection on nonsynonymous mutations are pervasive.

Entities:  

Mesh:

Substances:

Year:  2010        PMID: 20516497      PMCID: PMC2927764          DOI: 10.1534/genetics.110.117614

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


  67 in total

1.  Characterization of single-nucleotide polymorphisms in coding regions of human genes.

Authors:  M Cargill; D Altshuler; J Ireland; P Sklar; K Ardlie; N Patil; N Shaw; C R Lane; E P Lim; N Kalyanaraman; J Nemesh; L Ziaugra; L Friedland; A Rolfe; J Warrington; R Lipshutz; G Q Daley; E S Lander
Journal:  Nat Genet       Date:  1999-07       Impact factor: 38.330

2.  Primer3 on the WWW for general users and for biologist programmers.

Authors:  S Rozen; H Skaletsky
Journal:  Methods Mol Biol       Date:  2000

3.  Prediction of deleterious human alleles.

Authors:  S Sunyaev; V Ramensky; I Koch; W Lathe; A S Kondrashov; P Bork
Journal:  Hum Mol Genet       Date:  2001-03-15       Impact factor: 6.150

4.  A new statistic for detecting genetic differentiation.

Authors:  R R Hudson
Journal:  Genetics       Date:  2000-08       Impact factor: 4.562

5.  The cost of inbreeding in Arabidopsis.

Authors:  Carlos D Bustamante; Rasmus Nielsen; Stanley A Sawyer; Kenneth M Olsen; Michael D Purugganan; Daniel L Hartl
Journal:  Nature       Date:  2002-04-04       Impact factor: 49.962

6.  On the number of segregating sites in genetical models without recombination.

Authors:  G A Watterson
Journal:  Theor Popul Biol       Date:  1975-04       Impact factor: 1.570

7.  Changing effective population size and the McDonald-Kreitman test.

Authors:  Adam Eyre-Walker
Journal:  Genetics       Date:  2002-12       Impact factor: 4.562

8.  Contrasting patterns of X-linked and autosomal nucleotide variation in Drosophila melanogaster and Drosophila simulans.

Authors:  P Andolfatto
Journal:  Mol Biol Evol       Date:  2001-03       Impact factor: 16.240

9.  Testing the neutral theory of molecular evolution with genomic data from Drosophila.

Authors:  Justin C Fay; Gerald J Wyckoff; Chung-I Wu
Journal:  Nature       Date:  2002-02-28       Impact factor: 49.962

10.  Adaptive protein evolution in Drosophila.

Authors:  Nick G C Smith; Adam Eyre-Walker
Journal:  Nature       Date:  2002-02-28       Impact factor: 49.962

View more
  40 in total

1.  Evidence for widespread positive and purifying selection across the European rabbit (Oryctolagus cuniculus) genome.

Authors:  Miguel Carneiro; Frank W Albert; José Melo-Ferreira; Nicolas Galtier; Philippe Gayral; Jose A Blanco-Aguiar; Rafael Villafuerte; Michael W Nachman; Nuno Ferrand
Journal:  Mol Biol Evol       Date:  2012-01-31       Impact factor: 16.240

2.  Distortions in genealogies due to purifying selection and recombination.

Authors:  Lauren E Nicolaisen; Michael M Desai
Journal:  Genetics       Date:  2013-07-02       Impact factor: 4.562

3.  Conserved proteins are fragile.

Authors:  Raquel Assis; Alexey S Kondrashov
Journal:  Mol Biol Evol       Date:  2013-11-07       Impact factor: 16.240

Review 4.  Causes of natural variation in fitness: evidence from studies of Drosophila populations.

Authors:  Brian Charlesworth
Journal:  Proc Natl Acad Sci U S A       Date:  2015-01-08       Impact factor: 11.205

5.  Charlesworth et al. on Background Selection and Neutral Diversity.

Authors:  Stephen I Wright
Journal:  Genetics       Date:  2016-11       Impact factor: 4.562

Review 6.  Weak selection and protein evolution.

Authors:  Hiroshi Akashi; Naoki Osada; Tomoko Ohta
Journal:  Genetics       Date:  2012-09       Impact factor: 4.562

7.  The role of background selection in shaping patterns of molecular evolution and variation: evidence from variability on the Drosophila X chromosome.

Authors:  Brian Charlesworth
Journal:  Genetics       Date:  2012-02-29       Impact factor: 4.562

8.  Recent selection on the Y-to-dot translocation in Drosophila pseudoobscura.

Authors:  Amanda M Larracuente; Andrew G Clark
Journal:  Mol Biol Evol       Date:  2014-01-03       Impact factor: 16.240

9.  Differential strengths of positive selection revealed by hitchhiking effects at small physical scales in Drosophila melanogaster.

Authors:  Yuh Chwen G Lee; Charles H Langley; David J Begun
Journal:  Mol Biol Evol       Date:  2013-12-20       Impact factor: 16.240

10.  Resolving the Conflict Between Associative Overdominance and Background Selection.

Authors:  Lei Zhao; Brian Charlesworth
Journal:  Genetics       Date:  2016-05-06       Impact factor: 4.562

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.