Literature DB >> 9797406

What amino acid properties affect protein evolution?

X Xia1, W H Li.   

Abstract

We studied 10 protein-coding mitochondrial genes from 19 mammalian species to evaluate the effects of 10 amino acid properties on the evolution of the genetic code, the amino acid composition of proteins, and the pattern of nonsynonymous substitutions. The 10 amino acid properties studied are the chemical composition of the side chain, two polarity measures, hydropathy, isoelectric point, volume, aromaticity, aliphaticity, hydrogenation, and hydroxythiolation. The genetic code appears to have evolved toward minimizing polarity and hydropathy but not the other seven properties. This can be explained by our finding that the presumably primitive amino acids differed much only in polarity and hydropathy, but little in the other properties. Only the chemical composition (C) and isoelectric point (IE) appear to have affected the amino acid composition of the proteins studied, that is, these proteins tend to have more amino acids with typical C and IE values, so that nonsynonymous mutations tend to result in small differences in C and IE. All properties, except for hydroxythiolation, affect the rate of nonsynonymous substitution, with the observed amino acid changes having only small differences in these properties, relative to the spectrum of all possible nonsynonymous mutations.

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Year:  1998        PMID: 9797406     DOI: 10.1007/pl00006412

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


  29 in total

1.  Characterizing molecular adaptation: a hierarchical approach to assess the selective influence of amino acid properties.

Authors:  Saheli Datta; Raquel Prado; Abel Rodríguez; Ananías A Escalante
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2.  Amino acid compositional shifts during streptophyte transitions to terrestrial habitats.

Authors:  Richard W Jobson; Yin-Long Qiu
Journal:  J Mol Evol       Date:  2010-12-14       Impact factor: 2.395

Review 3.  New methods for inferring population dynamics from microbial sequences.

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Journal:  Infect Genet Evol       Date:  2006-04-19       Impact factor: 3.342

4.  Codon-based detection of positive selection can be biased by heterogeneous distribution of polar amino acids along protein sequences.

Authors:  Xuhua Xia; Sudhir Kumar
Journal:  Comput Syst Bioinformatics Conf       Date:  2006

5.  Amino acid exchangeability and the adaptive code hypothesis.

Authors:  Arlin Stoltzfus; Lev Y Yampolsky
Journal:  J Mol Evol       Date:  2007-09-26       Impact factor: 2.395

6.  Detecting site-specific biochemical constraints through substitution mapping.

Authors:  Julien Dutheil
Journal:  J Mol Evol       Date:  2008-08-12       Impact factor: 2.395

7.  Positive selection in the N-terminal extramembrane domain of lung surfactant protein C (SP-C) in marine mammals.

Authors:  Natalie J Foot; Sandra Orgeig; Stephen Donnellan; Terry Bertozzi; Christopher B Daniels
Journal:  J Mol Evol       Date:  2007-06-12       Impact factor: 2.395

8.  An information-based network approach for protein classification.

Authors:  Xiaogeng Wan; Xin Zhao; Stephen S T Yau
Journal:  PLoS One       Date:  2017-03-28       Impact factor: 3.240

9.  Bayesian factor models in characterizing molecular adaptation.

Authors:  Saheli Datta; Raquel Prado; Abel Rodríguez
Journal:  J Appl Stat       Date:  2013-04-03       Impact factor: 1.404

10.  Evidence for a period of directional selection following gene duplication in a neurally expressed locus of triosephosphate isomerase.

Authors:  T J Merritt; J M Quattro
Journal:  Genetics       Date:  2001-10       Impact factor: 4.562

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