Literature DB >> 33201312

Quest for the Best Evolutionary Model.

Rafael Zardoya1.   

Abstract

In the early 1980s, DNA sequencing became a routine and the increasing computing power opened the door to reconstruct molecular phylogenies using probabilistic approaches. DNA sequence alignments provided a large number of positions containing phylogenetic information, which could be extracted using explicit statistical models that described the mutation process using appropriate parameters. Consequently, an active quest started for building increasingly improved (more realistic) statistical models of nucleotide substitution. The simplest model assumed that nucleotide frequencies were in equilibrium and one single category of substitutions. Subsequent models allowed either unequal nucleotide frequencies or separate rates for transitions and transversions. The HKY85 model (Hasegawa et al. in J Mol Evol 22:160, 1985) combined elegantly both options into a single model, which became one of the most useful ones and has been the choice in many molecular phylogenetic studies ever since. The use of improved substitution models such as HKY85 allows reconstructing more accurate and reliable phylogenies, which in turn provide robust frameworks for understanding how biological diversity evolved and for performing a wealth of comparative studies in different disciplines such as ecology, biogeography, developmental biology, biochemistry, genomics, epidemiology, and biomedicine.

Entities:  

Keywords:  Evolutionary models; Maximum likelihood; Molecular phylogenetics; Transitions; Transversions

Year:  2020        PMID: 33201312     DOI: 10.1007/s00239-020-09971-z

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


  39 in total

1.  MtArt: a new model of amino acid replacement for Arthropoda.

Authors:  Federico Abascal; David Posada; Rafael Zardoya
Journal:  Mol Biol Evol       Date:  2006-10-16       Impact factor: 16.240

2.  Model of amino acid substitution in proteins encoded by mitochondrial DNA.

Authors:  J Adachi; M Hasegawa
Journal:  J Mol Evol       Date:  1996-04       Impact factor: 2.395

3.  PHYLOGENETIC ANALYSIS: MODELS AND ESTIMATION PROCEDURES.

Authors:  L L Cavalli-Sforza; A W F Edwards
Journal:  Evolution       Date:  1967-09       Impact factor: 3.694

4.  Automated DNA sequencing: ultrasensitive detection of fluorescent bands during electrophoresis.

Authors:  W Ansorge; B Sproat; J Stegemann; C Schwager; M Zenke
Journal:  Nucleic Acids Res       Date:  1987-06-11       Impact factor: 16.971

5.  Construction of biologically functional bacterial plasmids in vitro.

Authors:  S N Cohen; A C Chang; H W Boyer; R B Helling
Journal:  Proc Natl Acad Sci U S A       Date:  1973-11       Impact factor: 11.205

6.  Maximum likelihood estimation of the heterogeneity of substitution rate among nucleotide sites.

Authors:  X Gu; Y X Fu; W H Li
Journal:  Mol Biol Evol       Date:  1995-07       Impact factor: 16.240

7.  Sequence and organization of the human mitochondrial genome.

Authors:  S Anderson; A T Bankier; B G Barrell; M H de Bruijn; A R Coulson; J Drouin; I C Eperon; D P Nierlich; B A Roe; F Sanger; P H Schreier; A J Smith; R Staden; I G Young
Journal:  Nature       Date:  1981-04-09       Impact factor: 49.962

8.  Evolutionary trees from DNA sequences: a maximum likelihood approach.

Authors:  J Felsenstein
Journal:  J Mol Evol       Date:  1981       Impact factor: 2.395

9.  Life history effects on the molecular clock of autosomes and sex chromosomes.

Authors:  Guy Amster; Guy Sella
Journal:  Proc Natl Acad Sci U S A       Date:  2016-01-25       Impact factor: 11.205

10.  Bayesian random local clocks, or one rate to rule them all.

Authors:  Alexei J Drummond; Marc A Suchard
Journal:  BMC Biol       Date:  2010-08-31       Impact factor: 7.431

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