Literature DB >> 16752209

Testing for spatial clustering of amino acid replacements within protein tertiary structure.

Jiaye Yu1, Jeffrey L Thorne.   

Abstract

Widely used models of protein evolution ignore protein structure. Therefore, these models do not predict spatial clustering of amino acid replacements with respect to tertiary structure. One formal and biologically implausible possibility is that there is no tendency for amino acid replacements to be spatially clustered during evolution. An alternative to this is that amino acid replacements are spatially clustered and this spatial clustering can be fully explained by a tendency for similar rates of amino acid replacement at sites that are nearby in protein tertiary structure. A third possibility is that the amount of clustering exceeds that which can be explained solely on the basis of independently evolving protein sites with spatially clustered replacement rates. We introduce two simple and not very parametric hypothesis tests that help distinguish these three possibilities. We then apply these tests to 273 homologous protein families. The null hypothesis of no spatial clustering is rejected for 102 of 273 families. The explanation of spatially clustered rates but independent change among sites is rejected for 43 families. These findings need to be reconciled with the common practice of basing evolutionary inferences on models that assume independent change among sites.

Mesh:

Year:  2006        PMID: 16752209     DOI: 10.1007/s00239-005-0107-2

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


  34 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.  A fast algorithm for joint reconstruction of ancestral amino acid sequences.

Authors:  T Pupko; I Pe'er; R Shamir; D Graur
Journal:  Mol Biol Evol       Date:  2000-06       Impact factor: 16.240

3.  A general empirical model of protein evolution derived from multiple protein families using a maximum-likelihood approach.

Authors:  S Whelan; N Goldman
Journal:  Mol Biol Evol       Date:  2001-05       Impact factor: 16.240

4.  Phylogenetic estimation of context-dependent substitution rates by maximum likelihood.

Authors:  Adam Siepel; David Haussler
Journal:  Mol Biol Evol       Date:  2003-12-05       Impact factor: 16.240

5.  Structural and energetic consequences of disruptive mutations in a protein core.

Authors:  W A Lim; D C Farruggio; R T Sauer
Journal:  Biochemistry       Date:  1992-05-05       Impact factor: 3.162

6.  The neighbor-joining method: a new method for reconstructing phylogenetic trees.

Authors:  N Saitou; M Nei
Journal:  Mol Biol Evol       Date:  1987-07       Impact factor: 16.240

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.  Analysis of mutations in the transmembrane region of the aspartate chemoreceptor in Escherichia coli.

Authors:  K Oosawa; M Simon
Journal:  Proc Natl Acad Sci U S A       Date:  1986-09       Impact factor: 11.205

10.  Ancestral sequence reconstruction in primate mitochondrial DNA: compositional bias and effect on functional inference.

Authors:  Neeraja M Krishnan; Hervé Seligmann; Caro-Beth Stewart; A P Jason De Koning; David D Pollock
Journal:  Mol Biol Evol       Date:  2004-06-30       Impact factor: 16.240

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  4 in total

1.  Dynamic behavior of an intrinsically unstructured linker domain is conserved in the face of negligible amino acid sequence conservation.

Authors:  Gary W Daughdrill; Pranesh Narayanaswami; Sara H Gilmore; Agniezka Belczyk; Celeste J Brown
Journal:  J Mol Evol       Date:  2007-08-25       Impact factor: 2.395

2.  Lineage-specific differences in the amino acid substitution process.

Authors:  Snehalata Huzurbazar; Grigory Kolesov; Steven E Massey; Katherine C Harris; Alexander Churbanov; David A Liberles
Journal:  J Mol Biol       Date:  2010-01-15       Impact factor: 5.469

3.  How structural and physicochemical determinants shape sequence constraints in a functional enzyme.

Authors:  Luciano A Abriata; Timothy Palzkill; Matteo Dal Peraro
Journal:  PLoS One       Date:  2015-02-23       Impact factor: 3.240

4.  Maximum-likelihood model averaging to profile clustering of site types across discrete linear sequences.

Authors:  Zhang Zhang; Jeffrey P Townsend
Journal:  PLoS Comput Biol       Date:  2009-06-26       Impact factor: 4.475

  4 in total

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