Literature DB >> 19233962

Phylogenetic signals in DNA composition: limitations and prospects.

Jan Mrázek1.   

Abstract

The concept of genome signature allows sequence comparisons without alignment. It relies on the premise that oligonucleotide compositions of DNA segments from the same or closely related genomes tend to be more similar than those from distantly related genomes. This concept has been used in detection of lateral gene transfer, phylogenetic classification of metagenome sequences (binning), and in studies of evolution of viruses and plasmids. The goal of this work is to explore limitations of genome signature in phylogenetic classification of DNA sequences and to identify formal representations of genome signature that expose best the phylogenetic relationships among prokaryotes. We found that genome signatures that best represent phylogenetic relationships are those normalized to factor out differences in G + C content and utilizing the standard A-C-G-T alphabet or the degenerate R-Y (purine-pyrimidine) alphabet. The main limitation of all genome signature representations tested is lack of divergence among some distantly related species. "Crowding" of the genome signature space and absence of molecular clock likely contribute to this phenomenon. We introduce "periodicity signatures"--formal representations of periodic sequence patterns related to DNA curvature--which can discriminate between bacterial and archaeal DNA sequences. Interestingly, archaea of the order Halobacteriaceae have periodic signatures similar to bacteria, possibly due to their early divergence from other archaea, extensive lateral gene transfer, or due to their adaptation to high salt environments. Our results have practical implications for development and application of genome signature-based methods for analysis and classification of DNA sequences.

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Year:  2009        PMID: 19233962     DOI: 10.1093/molbev/msp032

Source DB:  PubMed          Journal:  Mol Biol Evol        ISSN: 0737-4038            Impact factor:   16.240


  22 in total

1.  A global network of coexisting microbes from environmental and whole-genome sequence data.

Authors:  Samuel Chaffron; Hubert Rehrauer; Jakob Pernthaler; Christian von Mering
Journal:  Genome Res       Date:  2010-05-10       Impact factor: 9.043

2.  Comparative analysis of sequence periodicity among prokaryotic genomes points to differences in nucleoid structure and a relationship to gene expression.

Authors:  Jan Mrázek
Journal:  J Bacteriol       Date:  2010-05-21       Impact factor: 3.490

3.  Genomic Signatures Among Acanthamoeba polyphaga Entoorganisms Unveil Evidence of Coevolution.

Authors:  Víctor Serrano-Solís; Paulo Eduardo Toscano Soares; Sávio T de Farías
Journal:  J Mol Evol       Date:  2018-11-20       Impact factor: 2.395

4.  Distinguishing microbial genome fragments based on their composition: evolutionary and comparative genomic perspectives.

Authors:  Scott C Perry; Robert G Beiko
Journal:  Genome Biol Evol       Date:  2010-01-25       Impact factor: 3.416

5.  Microbial lifestyle and genome signatures.

Authors:  Chitra Dutta; Sandip Paul
Journal:  Curr Genomics       Date:  2012-04       Impact factor: 2.236

6.  Clustering metagenomic sequences with interpolated Markov models.

Authors:  David R Kelley; Steven L Salzberg
Journal:  BMC Bioinformatics       Date:  2010-11-02       Impact factor: 3.169

7.  The IncP-1 plasmid backbone adapts to different host bacterial species and evolves through homologous recombination.

Authors:  Peter Norberg; Maria Bergström; Vinay Jethava; Devdatt Dubhashi; Malte Hermansson
Journal:  Nat Commun       Date:  2011-04-05       Impact factor: 14.919

8.  Genomic taxonomy of Vibrios.

Authors:  Cristiane C Thompson; Ana Carolina P Vicente; Rangel C Souza; Ana Tereza R Vasconcelos; Tammi Vesth; Nelson Alves; David W Ussery; Tetsuya Iida; Fabiano L Thompson
Journal:  BMC Evol Biol       Date:  2009-10-27       Impact factor: 3.260

9.  Differences in DNA curvature-related sequence periodicity between prokaryotic chromosomes and phages, and relationship to chromosomal prophage content.

Authors:  Jacob Abel; Jan Mrázek
Journal:  BMC Genomics       Date:  2012-05-15       Impact factor: 3.969

10.  PerPlot & PerScan: tools for analysis of DNA curvature-related periodicity in genomic nucleotide sequences.

Authors:  Jan Mrázek; Tejas Chaudhari; Aryabrata Basu
Journal:  Microb Inform Exp       Date:  2011-11-28
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