Literature DB >> 16174645

Distribution of the strength of selection against amino acid replacements in human proteins.

Lev Y Yampolsky1, Fyodor A Kondrashov, Alexey S Kondrashov.   

Abstract

The impact of an amino acid replacement on the organism's fitness can vary from lethal to selectively neutral and even, in rare cases, beneficial. Substantial data are available on either pathogenic or acceptable replacements. However, the whole distribution of coefficients of selection against individual replacements is not known for any organism. To ascertain this distribution for human proteins, we combined data on pathogenic missense mutations, on human non-synonymous SNPs and on human-chimpanzee divergence of orthologous proteins. Fractions of amino acid replacements which reduce fitness by >10(-2), 10(-2)-10(-4), 10(-4)-10(-5) and <10(-5) are 25, 49, 14 and 12%, respectively. On average, the strength of selection against a replacement is substantially higher when chemically dissimilar amino acids are involved, and the Grantham's index of a replacement explains 35% of variance in the average logarithm of selection coefficients associated with different replacements. Still, the impact of a replacement depends on its context within the protein more than on its own nature. Reciprocal replacements are often associated with rather different selection coefficients, in particular, replacements of non-polar amino acids with polar ones are typically much more deleterious than replacements in the opposite direction. However, differences between evolutionary fluxes of reciprocal replacements are only weakly correlated with the differences between the corresponding selection coefficients.

Entities:  

Mesh:

Substances:

Year:  2005        PMID: 16174645     DOI: 10.1093/hmg/ddi350

Source DB:  PubMed          Journal:  Hum Mol Genet        ISSN: 0964-6906            Impact factor:   6.150


  50 in total

1.  Exome sequencing and the genetic basis of complex traits.

Authors:  Adam Kiezun; Kiran Garimella; Ron Do; Nathan O Stitziel; Benjamin M Neale; Paul J McLaren; Namrata Gupta; Pamela Sklar; Patrick F Sullivan; Jennifer L Moran; Christina M Hultman; Paul Lichtenstein; Patrik Magnusson; Thomas Lehner; Yin Yao Shugart; Alkes L Price; Paul I W de Bakker; Shaun M Purcell; Shamil R Sunyaev
Journal:  Nat Genet       Date:  2012-05-29       Impact factor: 38.330

2.  Inferring the distribution of mutational effects on fitness in Drosophila.

Authors:  Laurence Loewe; Brian Charlesworth
Journal:  Biol Lett       Date:  2006-09-22       Impact factor: 3.703

3.  How reliable are empirical genomic scans for selective sweeps?

Authors:  Kosuke M Teshima; Graham Coop; Molly Przeworski
Journal:  Genome Res       Date:  2006-05-10       Impact factor: 9.043

4.  Higher intensity of purifying selection on >90% of the human genes revealed by the intrinsic replacement mutation rates.

Authors:  Sankar Subramanian; Sudhir Kumar
Journal:  Mol Biol Evol       Date:  2006-09-18       Impact factor: 16.240

5.  Accumulation of slightly deleterious mutations in mitochondrial protein-coding genes of large versus small mammals.

Authors:  Konstantin Popadin; Leonard V Polishchuk; Leila Mamirova; Dmitry Knorre; Konstantin Gunbin
Journal:  Proc Natl Acad Sci U S A       Date:  2007-08-06       Impact factor: 11.205

6.  The distribution of fitness effects of new deleterious amino acid mutations in humans.

Authors:  Adam Eyre-Walker; Megan Woolfit; Ted Phelps
Journal:  Genetics       Date:  2006-03-17       Impact factor: 4.562

7.  Power of deep, all-exon resequencing for discovery of human trait genes.

Authors:  Gregory V Kryukov; Alexander Shpunt; John A Stamatoyannopoulos; Shamil R Sunyaev
Journal:  Proc Natl Acad Sci U S A       Date:  2009-02-06       Impact factor: 11.205

8.  Rate, molecular spectrum, and consequences of human mutation.

Authors:  Michael Lynch
Journal:  Proc Natl Acad Sci U S A       Date:  2010-01-04       Impact factor: 11.205

9.  Positional conservation and amino acids shape the correct diagnosis and population frequencies of benign and damaging personal amino acid mutations.

Authors:  Sudhir Kumar; Michael P Suleski; Glenn J Markov; Simon Lawrence; Antonio Marco; Alan J Filipski
Journal:  Genome Res       Date:  2009-06-22       Impact factor: 9.043

10.  Analysis of the fitness effect of compensatory mutations.

Authors:  Liqing Zhang; Layne T Watson
Journal:  HFSP J       Date:  2008-12-03
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.