Literature DB >> 18725272

Estimates of natural selection due to protein tertiary structure inform the ancestry of biallelic loci.

Sang Chul Choi1, Eric A Stone, Hirohisa Kishino, Jeffrey L Thorne.   

Abstract

We consider the inference of which of two alleles is ancestral when the alleles have a single nonsynonymous difference and when natural selection acts via protein tertiary structure. Whereas the probability that an allele is ancestral under neutrality is equal to its frequency, under selection this probability depends on allele frequency and on the magnitude and direction of selection pressure. Although allele frequencies can be well estimated from intraspecific data, small fitness differences have a large evolutionary impact but can be difficult to estimate with only intraspecific data. Methods for predicting aspects of phenotype from genotype can supplement intraspecific sequence data. Recently developed statistical techniques can assess effects of phenotypes, such as protein tertiary structure on molecular evolution. While these techniques were initially designed for comparing protein-coding genes from different species, the resulting interspecific inferences can be assigned population genetic interpretations to assess the effect of selection pressure, and we use them here along with intraspecific allele frequency data to estimate the probability that an allele is ancestral. We focus on 140 nonsynonymous single nucleotide polymorphisms of humans that are in proteins with known tertiary structures. We find that our technique for employing protein tertiary structure information yields some biologically plausible results but that it does not substantially improve the inference of ancestral human allele types.

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Year:  2008        PMID: 18725272      PMCID: PMC2715921          DOI: 10.1016/j.gene.2008.07.020

Source DB:  PubMed          Journal:  Gene        ISSN: 0378-1119            Impact factor:   3.688


  48 in total

1.  The Protein Data Bank.

Authors:  H M Berman; J Westbrook; Z Feng; G Gilliland; T N Bhat; H Weissig; I N Shindyalov; P E Bourne
Journal:  Nucleic Acids Res       Date:  2000-01-01       Impact factor: 16.971

2.  Correcting for ascertainment biases when analyzing SNP data: applications to the estimation of linkage disequilibrium.

Authors:  Rasmus Nielsen; James Signorovitch
Journal:  Theor Popul Biol       Date:  2003-05       Impact factor: 1.570

3.  On the probability of fixation of mutant genes in a population.

Authors:  M KIMURA
Journal:  Genetics       Date:  1962-06       Impact factor: 4.562

4.  Potential regulatory SNPs in promoters of human genes: a systematic approach.

Authors:  Maria Stepanova; Tatiana Tiazhelova; Mikle Skoblov; Ancha Baranova
Journal:  Mol Cell Probes       Date:  2006-05-06       Impact factor: 2.365

5.  Quantifying the impact of protein tertiary structure on molecular evolution.

Authors:  Sang Chul Choi; Asger Hobolth; Douglas M Robinson; Hirohisa Kishino; Jeffrey L Thorne
Journal:  Mol Biol Evol       Date:  2007-05-23       Impact factor: 16.240

6.  A new method of inference of ancestral nucleotide and amino acid sequences.

Authors:  Z Yang; S Kumar; M Nei
Journal:  Genetics       Date:  1995-12       Impact factor: 4.562

7.  A likelihood approach for comparing synonymous and nonsynonymous nucleotide substitution rates, with application to the chloroplast genome.

Authors:  S V Muse; B S Gaut
Journal:  Mol Biol Evol       Date:  1994-09       Impact factor: 16.240

8.  A codon-based model of nucleotide substitution for protein-coding DNA sequences.

Authors:  N Goldman; Z Yang
Journal:  Mol Biol Evol       Date:  1994-09       Impact factor: 16.240

9.  Human non-synonymous SNPs: server and survey.

Authors:  Vasily Ramensky; Peer Bork; Shamil Sunyaev
Journal:  Nucleic Acids Res       Date:  2002-09-01       Impact factor: 16.971

10.  Widespread purifying selection at polymorphic sites in human protein-coding loci.

Authors:  Austin L Hughes; Bernice Packer; Robert Welch; Andrew W Bergen; Stephen J Chanock; Meredith Yeager
Journal:  Proc Natl Acad Sci U S A       Date:  2003-12-05       Impact factor: 11.205

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  2 in total

1.  Disease-associated alleles in genome-wide association studies are enriched for derived low frequency alleles relative to HapMap and neutral expectations.

Authors:  Joseph Lachance
Journal:  BMC Med Genomics       Date:  2010-12-10       Impact factor: 3.063

Review 2.  Bringing molecules back into molecular evolution.

Authors:  Claus O Wilke
Journal:  PLoS Comput Biol       Date:  2012-06-28       Impact factor: 4.475

  2 in total

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