Literature DB >> 11734650

A likelihood ratio test for evolutionary rate shifts and functional divergence among proteins.

B Knudsen1, M M Miyamoto.   

Abstract

Changes in protein function can lead to changes in the selection acting on specific residues. This can often be detected as evolutionary rate changes at the sites in question. A maximum-likelihood method for detecting evolutionary rate shifts at specific protein positions is presented. The method determines significance values of the rate differences to give a sound statistical foundation for the conclusions drawn from the analyses. A statistical test for detecting slowly evolving sites is also described. The methods are applied to a set of Myc proteins for the identification of both conserved sites and those with changing evolutionary rates. Those positions with conserved and changing rates are related to the structures and functions of their proteins. The results are compared with an earlier Bayesian method, thereby highlighting the advantages of the new likelihood ratio tests.

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Year:  2001        PMID: 11734650      PMCID: PMC64713          DOI: 10.1073/pnas.251526398

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  28 in total

1.  Statistical methods for testing functional divergence after gene duplication.

Authors:  X Gu
Journal:  Mol Biol Evol       Date:  1999-12       Impact factor: 16.240

Review 2.  From genome to function.

Authors:  J M Thornton
Journal:  Science       Date:  2001-06-15       Impact factor: 47.728

3.  Maximum-likelihood phylogenetic analysis under a covarion-like model.

Authors:  N Galtier
Journal:  Mol Biol Evol       Date:  2001-05       Impact factor: 16.240

4.  The rapid generation of mutation data matrices from protein sequences.

Authors:  D T Jones; W R Taylor; J M Thornton
Journal:  Comput Appl Biosci       Date:  1992-06

5.  Phylogenetic methods come of age: testing hypotheses in an evolutionary context.

Authors:  J P Huelsenbeck; B Rannala
Journal:  Science       Date:  1997-04-11       Impact factor: 47.728

Review 6.  Predicting functions from protein sequences--where are the bottlenecks?

Authors:  P Bork; E V Koonin
Journal:  Nat Genet       Date:  1998-04       Impact factor: 38.330

7.  Differential selection after duplication in mammalian developmental genes.

Authors:  E T Dermitzakis; A G Clark
Journal:  Mol Biol Evol       Date:  2001-04       Impact factor: 16.240

Review 8.  MYC oncogenes and human neoplastic disease.

Authors:  C E Nesbit; J M Tersak; E V Prochownik
Journal:  Oncogene       Date:  1999-05-13       Impact factor: 9.867

9.  c-myc gene sequences and the phylogeny of bats and other eutherian mammals.

Authors:  M M Miyamoto; C A Porter; M Goodman
Journal:  Syst Biol       Date:  2000-09       Impact factor: 15.683

10.  Statistical methods for detecting molecular adaptation.

Authors: 
Journal:  Trends Ecol Evol       Date:  2000-12-01       Impact factor: 17.712

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  40 in total

1.  Inferring functional constraints and divergence in protein families using 3D mapping of phylogenetic information.

Authors:  Christian Blouin; Yan Boucher; Andrew J Roger
Journal:  Nucleic Acids Res       Date:  2003-01-15       Impact factor: 16.971

2.  eShadow: a tool for comparing closely related sequences.

Authors:  Ivan Ovcharenko; Dario Boffelli; Gabriela G Loots
Journal:  Genome Res       Date:  2004-06       Impact factor: 9.043

3.  Recombination detection under evolutionary scenarios relevant to functional divergence.

Authors:  Rachael A Bay; Joseph P Bielawski
Journal:  J Mol Evol       Date:  2012-01-01       Impact factor: 2.395

4.  Detecting amino acid sites under positive selection and purifying selection.

Authors:  Tim Massingham; Nick Goldman
Journal:  Genetics       Date:  2005-01-16       Impact factor: 4.562

5.  Selectionism and neutralism in molecular evolution.

Authors:  Masatoshi Nei
Journal:  Mol Biol Evol       Date:  2005-08-24       Impact factor: 16.240

6.  Divergent evolution of the chloroplast small heat shock protein gene in the genera Rhododendron (Ericaceae) and Machilus (Lauraceae).

Authors:  Miao-Lun Wu; Tsan-Piao Lin; Min-Yi Lin; Yu-Pin Cheng; Shih-Ying Hwang
Journal:  Ann Bot       Date:  2007-02-09       Impact factor: 4.357

7.  Antarctic fish mitochondrial genomes lack ND6 gene.

Authors:  Chiara Papetti; Pietro Liò; Lukas Rüber; Tomaso Patarnello; Rafael Zardoya
Journal:  J Mol Evol       Date:  2007-10-23       Impact factor: 2.395

8.  Positive natural selection has driven the evolution of the Hsp70s in Diguetia spiders.

Authors:  James Starrett; Elizabeth R Waters
Journal:  Biol Lett       Date:  2007-08-22       Impact factor: 3.703

9.  A maximum likelihood method for detecting functional divergence at individual codon sites, with application to gene family evolution.

Authors:  Joseph P Bielawski; Ziheng Yang
Journal:  J Mol Evol       Date:  2004-07       Impact factor: 2.395

10.  Identifying changes in selective constraints: host shifts in influenza.

Authors:  Asif U Tamuri; Mario Dos Reis; Alan J Hay; Richard A Goldstein
Journal:  PLoS Comput Biol       Date:  2009-11-13       Impact factor: 4.475

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