Literature DB >> 12788106

Seven GC-rich microbial genomes adopt similar codon usage patterns regardless of their phylogenetic lineages.

Ling-Ling Chen1, Chun-Ting Zhang.   

Abstract

Seven GC-rich (group I) and three AT-rich (group II) microbial genomes are analyzed in this paper. The seven microbes in group I belong to different phylogenetic lineages, even different domains of life. The common feature is that they are highly GC-rich organisms, with more than 60% genomic GC content. Group II includes three bacteria, which belong to the same subdivision as Pseudomonas aeruginosa in group I. The genomic GC content of the three bacteria is in the range of 26-50%. It is shown that although the phylogenetic lineages of the organisms in group I are remote, the common feature of highly genomic GC content forces them to adopt similar codon usage patterns, which constitutes the basis of an algorithm using a set of universal parameters to recognize known genes in the seven genomes. The common codon usage pattern of function known genes in the seven genomes is GGS type, where G, G, and S are the bases of G, non-G, and G/C, respectively. On the contrary, although the phylogenetic lineages of the three bacteria in group II are quite close, the codon usage patterns of function known genes in these genomes are obviously distinct. There are no universal parameters to identify known genes in the three genomes in group II. It can be deduced that the genomic GC content is more important than phylogenetic lineage in gene recognition programs. We hope that the work might be useful for understanding the common characteristics in the organization of microbial genomes.

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Year:  2003        PMID: 12788106     DOI: 10.1016/s0006-291x(03)00973-2

Source DB:  PubMed          Journal:  Biochem Biophys Res Commun        ISSN: 0006-291X            Impact factor:   3.575


  13 in total

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4.  Analysis of intra-genomic GC content homogeneity within prokaryotes.

Authors:  Jon Bohlin; Lars Snipen; Simon P Hardy; Anja B Kristoffersen; Karin Lagesen; Torunn Dønsvik; Eystein Skjerve; David W Ussery
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5.  Across bacterial phyla, distantly-related genomes with similar genomic GC content have similar patterns of amino acid usage.

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6.  Examination of genome homogeneity in prokaryotes using genomic signatures.

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7.  Re-annotation of protein-coding genes in 10 complete genomes of Neisseriaceae family by combining similarity-based and composition-based methods.

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8.  Re-annotation of protein-coding genes in the genome of saccharomyces cerevisiae based on support vector machines.

Authors:  Dan Lin; Xin Yin; Xianlong Wang; Peng Zhou; Feng-Biao Guo
Journal:  PLoS One       Date:  2013-07-10       Impact factor: 3.240

9.  Reliability and applications of statistical methods based on oligonucleotide frequencies in bacterial and archaeal genomes.

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Journal:  BMC Genomics       Date:  2008-02-28       Impact factor: 3.969

10.  Investigations of oligonucleotide usage variance within and between prokaryotes.

Authors:  Jon Bohlin; Eystein Skjerve; David W Ussery
Journal:  PLoS Comput Biol       Date:  2008-04-18       Impact factor: 4.475

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