Literature DB >> 10415493

Detecting alien genes in bacterial genomes.

J Mrázek1, S Karlin.   

Abstract

We present new methods for calculating codon bias of a group of genes or an individual gene relative to a standard gene class. This method is suitable for identifying alien (e.g., horizontally transferred) and highly expressed genes. In yeast and several bacterial genomes, highly expressed genes typically include ribosomal protein genes, elongation factors, chaperonins (heat shock proteins), and a subset of genes involved in glycolysis generally essential in exponential growth. Highly expressed genes of the Synechocystis genome feature several photosystem II genes, and highly expressed genes in several methanogens (Methanococcus jannaschii, M. thermoautotrophicum) are essential for methanogenesis. Alien genes mostly consist of ORFs of unknown function, transposases, prophage genes, and restriction/modification enzymes. Notably, nuclear ribosomal proteins of yeast are highly expressed, whereas mitochondrial ribosomal protein genes appear to be alien genes. Alien genes often occur in clusters, suggesting in these cases that transfer events entail several genes.

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Year:  1999        PMID: 10415493     DOI: 10.1111/j.1749-6632.1999.tb08893.x

Source DB:  PubMed          Journal:  Ann N Y Acad Sci        ISSN: 0077-8923            Impact factor:   5.691


  42 in total

Review 1.  Behavior of restriction-modification systems as selfish mobile elements and their impact on genome evolution.

Authors:  I Kobayashi
Journal:  Nucleic Acids Res       Date:  2001-09-15       Impact factor: 16.971

2.  Predicted highly expressed genes of diverse prokaryotic genomes.

Authors:  S Karlin; J Mrázek
Journal:  J Bacteriol       Date:  2000-09       Impact factor: 3.490

3.  Correlations between Shine-Dalgarno sequences and gene features such as predicted expression levels and operon structures.

Authors:  Jiong Ma; Allan Campbell; Samuel Karlin
Journal:  J Bacteriol       Date:  2002-10       Impact factor: 3.490

4.  Ancestral genome sizes specify the minimum rate of lateral gene transfer during prokaryote evolution.

Authors:  Tal Dagan; William Martin
Journal:  Proc Natl Acad Sci U S A       Date:  2007-01-09       Impact factor: 11.205

5.  Score-based prediction of genomic islands in prokaryotic genomes using hidden Markov models.

Authors:  Stephan Waack; Oliver Keller; Roman Asper; Thomas Brodag; Carsten Damm; Wolfgang Florian Fricke; Katharina Surovcik; Peter Meinicke; Rainer Merkl
Journal:  BMC Bioinformatics       Date:  2006-03-16       Impact factor: 3.169

6.  A benchmark of parametric methods for horizontal transfers detection.

Authors:  Jennifer Becq; Cécile Churlaud; Patrick Deschavanne
Journal:  PLoS One       Date:  2010-04-01       Impact factor: 3.240

7.  Lateral transfer of genes and gene fragments in prokaryotes.

Authors:  Cheong Xin Chan; Robert G Beiko; Aaron E Darling; Mark A Ragan
Journal:  Genome Biol Evol       Date:  2009-11-04       Impact factor: 3.416

8.  Barcodes for genomes and applications.

Authors:  Fengfeng Zhou; Victor Olman; Ying Xu
Journal:  BMC Bioinformatics       Date:  2008-12-17       Impact factor: 3.169

9.  Comparison of correspondence analysis methods for synonymous codon usage in bacteria.

Authors:  Haruo Suzuki; Celeste J Brown; Larry J Forney; Eva M Top
Journal:  DNA Res       Date:  2008-10-21       Impact factor: 4.458

10.  Genome comparison and context analysis reveals putative mobile forms of restriction-modification systems and related rearrangements.

Authors:  Yoshikazu Furuta; Kentaro Abe; Ichizo Kobayashi
Journal:  Nucleic Acids Res       Date:  2010-01-12       Impact factor: 16.971

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