Literature DB >> 15008414

Standardized phylogenetic tree: a reference to discover functional evolution.

Toshinori Endo1, Soichi Ogishima, Hiroshi Tanaka.   

Abstract

Functional evolution is often driven by positive natural selection. Although it is thought to be rare in evolution at the molecular level, its effects may be observed as the accelerated evolutionary rates. Therefore one of the effective ways to identify functional evolution is to identify accelerated evolution. Many methods have been developed to test the statistical significance of the accelerated evolutionary rate by comparison with the appropriate reference rate. The rates of synonymous substitution are one of the most useful and popular references, especially for large-scale analyses. On the other hand, these rates are applicable only to a limited evolutionary time period because they saturate quickly--i.e., multiple substitutions happen frequently because of the lower functional constraint. The relative rate test is an alternative method. This technique has an advantage in terms of the saturation effect but is not sufficiently powerful when the evolutionary rate differs considerably among phylogenetic lineages. For the aim to provide a universal reference tree, we propose a method to construct a standardized tree which serves as the reference for accelerated evolutionary rate. The method is based upon multiple molecular phylogenies of single genes with the aim of providing higher reliability. The tree has averaged and normalized branch lengths with standard deviations for statistical neutrality limits. The standard deviation also suggests the reliability level of the branch order. The resulting tree serves as a reference tree for the reliability level of the branch order and the test of evolutionary rate acceleration even when some of the species lineages show an accelerated evolutionary rate for most of their genes due to bottlenecking and other effects.

Mesh:

Year:  2003        PMID: 15008414     DOI: 10.1007/s00239-003-0025-0

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


  19 in total

1.  Reliabilities of parsimony-based and likelihood-based methods for detecting positive selection at single amino acid sites.

Authors:  Y Suzuki; M Nei
Journal:  Mol Biol Evol       Date:  2001-12       Impact factor: 16.240

2.  Testing for equality of evolutionary rates.

Authors:  S V Muse; B S Weir
Journal:  Genetics       Date:  1992-09       Impact factor: 4.562

3.  Large-scale search for genes on which positive selection may operate.

Authors:  T Endo; K Ikeo; T Gojobori
Journal:  Mol Biol Evol       Date:  1996-05       Impact factor: 16.240

4.  Episodic adaptive evolution of primate lysozymes.

Authors:  W Messier; C B Stewart
Journal:  Nature       Date:  1997-01-09       Impact factor: 49.962

5.  Simple methods for testing the molecular evolutionary clock hypothesis.

Authors:  F Tajima
Journal:  Genetics       Date:  1993-10       Impact factor: 4.562

6.  HOVERGEN: a database of homologous vertebrate genes.

Authors:  L Duret; D Mouchiroud; M Gouy
Journal:  Nucleic Acids Res       Date:  1994-06-25       Impact factor: 16.971

7.  Toward a more accurate time scale for the human mitochondrial DNA tree.

Authors:  M Hasegawa; A Di Rienzo; T D Kocher; A C Wilson
Journal:  J Mol Evol       Date:  1993-10       Impact factor: 2.395

8.  Adaptive protein evolution at the Adh locus in Drosophila.

Authors:  J H McDonald; M Kreitman
Journal:  Nature       Date:  1991-06-20       Impact factor: 49.962

9.  Evidence for higher rates of nucleotide substitution in rodents than in man.

Authors:  C I Wu; W H Li
Journal:  Proc Natl Acad Sci U S A       Date:  1985-03       Impact factor: 11.205

10.  Accelerated evolution in the protein-coding regions is universal in crotalinae snake venom gland phospholipase A2 isozyme genes.

Authors:  K Nakashima; I Nobuhisa; M Deshimaru; M Nakai; T Ogawa; Y Shimohigashi; Y Fukumaki; M Hattori; Y Sakaki; S Hattori
Journal:  Proc Natl Acad Sci U S A       Date:  1995-06-06       Impact factor: 11.205

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  1 in total

1.  Characterizing the function of domain linkers in regulating the dynamics of multi-domain fusion proteins by microsecond molecular dynamics simulations and artificial intelligence.

Authors:  Bo Wang; Zhaoqian Su; Yinghao Wu
Journal:  Proteins       Date:  2021-03-27
  1 in total

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