Literature DB >> 15046306

Use of the genomic signature in bacterial classification and identification.

Tom Coenye1, Peter Vandamme.   

Abstract

In this study we investigated the correlation between dinucleotide relative abundance values (the genomic signature) obtained from bacterial whole-genome sequences and two parameters widely used for bacterial classification, 16S rDNA sequence similarity and DNA-DNA hybridisation values. Twenty-eight completely sequenced bacterial genomes were included in the study. The correlation between the genomic signature and DNA-DNA hybridisation values was high and taxa that showed less than 30% DNA-DNA binding will in general not have dinucleotide relative abundance dissimilarity (delta*) values below 40. On the other hand, taxa showing more than 50% DNA-DNA binding will not have delta* values higher than 17. Our data indicate that the overall correlation between genomic signature and 16S rDNA sequence similarity is low, except for closely related organisms (16S rDNA similarity >94%). Statistical analysis of delta* values between different subgroups of the Proteobacteria indicate that the beta- and gamma-Proteobacteria are more closely related to each other than to the other subgroups of the Proteobacteria and that the alpha- and epsilon-Proteobacteria form clearly separate subgroups. Using the genomic signature we have also predicted DNA-DNA binding values for fastidious or unculturable endosymbionts belonging to the genera Rickettsia, Wigglesworthia and Buchnera.

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Year:  2004        PMID: 15046306     DOI: 10.1078/072320204322881790

Source DB:  PubMed          Journal:  Syst Appl Microbiol        ISSN: 0723-2020            Impact factor:   4.022


  12 in total

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4.  Mainstreams of horizontal gene exchange in enterobacteria: consideration of the outbreak of enterohemorrhagic E. coli O104:H4 in Germany in 2011.

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5.  Using Mahalanobis distance to compare genomic signatures between bacterial plasmids and chromosomes.

Authors:  Haruo Suzuki; Masahiro Sota; Celeste J Brown; Eva M Top
Journal:  Nucleic Acids Res       Date:  2008-10-25       Impact factor: 16.971

6.  Analysis of genomic signatures in prokaryotes using multinomial regression and hierarchical clustering.

Authors:  Jon Bohlin; Eystein Skjerve; David W Ussery
Journal:  BMC Genomics       Date:  2009-10-21       Impact factor: 3.969

7.  Dialects of the DNA uptake sequence in Neisseriaceae.

Authors:  Stephan A Frye; Mariann Nilsen; Tone Tønjum; Ole Herman Ambur
Journal:  PLoS Genet       Date:  2013-04-18       Impact factor: 5.917

8.  The SeqWord Genome Browser: an online tool for the identification and visualization of atypical regions of bacterial genomes through oligonucleotide usage.

Authors:  Hamilton Ganesan; Anna S Rakitianskaia; Colin F Davenport; Burkhard Tümmler; Oleg N Reva
Journal:  BMC Bioinformatics       Date:  2008-08-07       Impact factor: 3.169

9.  Genome signatures, self-organizing maps and higher order phylogenies: a parametric analysis.

Authors:  Derek Gatherer
Journal:  Evol Bioinform Online       Date:  2007-09-17       Impact factor: 1.625

10.  HTSFinder: Powerful Pipeline of DNA Signature Discovery by Parallel and Distributed Computing.

Authors:  Ramin Karimi; Andras Hajdu
Journal:  Evol Bioinform Online       Date:  2016-02-10       Impact factor: 1.625

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