Literature DB >> 11243926

Phylogenetic inferences from molecular sequences: review and critique.

L Brocchieri1.   

Abstract

Conflicting results often accompany phylogenetic analyses of RNA, DNA, or protein sequences across diverse species. Causes contributing to these conflicts relate to ambiguities in identifying homologous characters of alignments, sensitivity of tree-making methods to unequal evolutionary rates, biases in species sampling, unrecognized paralogy, functional differentiation, loss of phylogenetic informational content due to long branches or fast evolution, and difficulties with the assumptions and approximations used to infer phylogenetic relationships. Attempts to surmount these conflicts by averaging over many proteins are problematic due to inherent biases of selected families, lack of signal in others, and events of lateral transfer, fusion, and/or chimerism. The process of assessing reliability of the results using the bootstrap method is strewn with obstacles because of lack of independence and inhomogeneity in the molecular data. Problems inherent to the three major procedures for developing phylogenetic trees--parsimony, likelihood, distance--are reviewed. Special attention is given to the problem of inferring evolutionary distances from patterns of similarity among sequences. The difficulties encountered by methods of phylogenetic reconstructions based on the analysis of divergent sequence families make new methods based on the analysis of complete genomes reasonable alternatives. Several of these are considered, including the signature sequences of Gupta and associates, the study of genome profiles, and the genomic signature set forth by Karlin and colleagues.

Mesh:

Year:  2001        PMID: 11243926     DOI: 10.1006/tpbi.2000.1485

Source DB:  PubMed          Journal:  Theor Popul Biol        ISSN: 0040-5809            Impact factor:   1.570


  26 in total

Review 1.  Statistical signals in bioinformatics.

Authors:  Samuel Karlin
Journal:  Proc Natl Acad Sci U S A       Date:  2005-09-12       Impact factor: 11.205

2.  Predicted highly expressed genes in archaeal genomes.

Authors:  Samuel Karlin; Jan Mrázek; Jiong Ma; Luciano Brocchieri
Journal:  Proc Natl Acad Sci U S A       Date:  2005-05-09       Impact factor: 11.205

Review 3.  Circadian rhythms from multiple oscillators: lessons from diverse organisms.

Authors:  Deborah Bell-Pedersen; Vincent M Cassone; David J Earnest; Susan S Golden; Paul E Hardin; Terry L Thomas; Mark J Zoran
Journal:  Nat Rev Genet       Date:  2005-07       Impact factor: 53.242

4.  TCP transcription factors predate the emergence of land plants.

Authors:  Olivier Navaud; Patrick Dabos; Elodie Carnus; Dominique Tremousaygue; Christine Hervé
Journal:  J Mol Evol       Date:  2007-06-12       Impact factor: 2.395

Review 5.  A bioinformatician's guide to metagenomics.

Authors:  Victor Kunin; Alex Copeland; Alla Lapidus; Konstantinos Mavromatis; Philip Hugenholtz
Journal:  Microbiol Mol Biol Rev       Date:  2008-12       Impact factor: 11.056

6.  An evaluation of four phylogenetic markers in Nostoc: implications for cyanobacterial phylogenetic studies at the intrageneric level.

Authors:  D Han; Y Fan; Z Hu
Journal:  Curr Microbiol       Date:  2008-10-30       Impact factor: 2.188

Review 7.  A beginner's guide to phylogenetics.

Authors:  Roy D Sleator
Journal:  Microb Ecol       Date:  2013-04-28       Impact factor: 4.552

8.  Different clustering of genomes across life using the A-T-C-G and degenerate R-Y alphabets: early and late signaling on genome evolution?

Authors:  V Kirzhner; A Paz; Z Volkovich; E Nevo; A Korol
Journal:  J Mol Evol       Date:  2007-03-19       Impact factor: 2.395

9.  Clustering of protein families into functional subtypes using Relative Complexity Measure with reduced amino acid alphabets.

Authors:  Aydin Albayrak; Hasan H Otu; Ugur O Sezerman
Journal:  BMC Bioinformatics       Date:  2010-08-18       Impact factor: 3.169

10.  A simple, fast, and accurate method of phylogenomic inference.

Authors:  Martin Wu; Jonathan A Eisen
Journal:  Genome Biol       Date:  2008-10-13       Impact factor: 13.583

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