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Phylogenetic distribution of translational GTPases in bacteria
Open accessAbstract
Background: Translational GTPases are a family of proteins in which GTPase activity is stimulated by the large ribosomal subunit. Conserved sequence features allow members of this family to be identified. Results: To achieve accurate protein identification and grouping we have developed a method combining searches with Hidden Markov Model profiles and tree based grouping. We found all the genes for translational GTPases in 191 fully sequenced bacterial genomes. The protein sequences were grouped into nine subfamilies. Analysis of the results shows that three translational GTPases, the translation factors EF-Tu, EF-G and IF2, are present in all organisms examined. In addition, several copies of the genes encoding EF-Tu and EF-G are present in some genomes. In the case of multiple genes for EF-Tu, the gene copies are nearly identical; in the case of multiple EF-G genes, the gene copies have been considerably diverged. The fourth translational GTPase, LepA, the function of which is currently unknown, is also nearly universally conserved in bacteria, being absent from only one organism out of the 191 analyzed. The translation regulator, TypA, is also present in most of the organisms examined, being absent only from bacteria with small genomes. Surprisingly, some of the well studied translational GTPases are present only in a very small number of bacteria. The translation termination factor RF3 is absent from many groups of bacteria with both small and large genomes. The specialized translation factor for selenocysteine incorporation – SelB – was found in only 39 organisms. Similarly, the tetracycline resistance proteins (Tet) are present only in a small number of species. Proteins of the CysN/NodQ subfamily have acquired functions in sulfur metabolism and production of signaling molecules. The genes coding for CysN/NodQ proteins were found in 74 genomes. This protein subfamily is not confined to Proteobacteria, as suggested previously but present also in many other groups of bacteria. Conclusion: Four of the translational GTPase subfamilies (IF2, EF-Tu, EF-G and LepA) are represented by at least one member in each bacterium studied, with one exception in LepA. This defines the set of translational GTPases essential for basic cell functions.
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![Figure 3 Unrooted consensus tree of translational GTPases. Nine major groups are distinguished by high bootstrap values that are shown by numbers on roots of branches. Underlying multiple alignment is based on GTPase domain alignment made with HMMALIGN [18] against GTP_EFTU model from Pfam database. Tree is calculated using PROTDIST (using JTT matrix) [23], NEIGHBOR and CONSENSE (Extended Majority Rule) from the PHYLIP 3.62 package [23]. One hundred bootstraps were performed to evaluate branch reliability.](/paper-figures/67a91cf5a64c4c5aa03136e37a09519a/phylogenetic-distribution-of-translational-gtpases-in-bacteria-figure-3.jpg)





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“Tetracycline resistance protein Tet(O), which protects the bacterial ribosome from binding the antibiotic tetracycline, is a translational GTPase with significant similarity in both sequence and structure to the elongation factor EF-G.”
From Mechanism of tetracycline resistance by ribosomal protection protein Tet(O) (2013) · cites this paper as [6]
In the citing paper
“Tetracycline resistance protein Tet(O), which protects the bacterial ribosome from binding the antibiotic tetracycline, is a translational GTPase with significant similarity in both sequence and structure to the elongation factor EF-G.”
From Mechanism of tetracycline resistance by ribosomal protection protein Tet(O) (2013) · cites this paper as [6]
In the citing paper
“Several of these proteins–the best-known being Tet(M) and Tet(O) – are paralogs of the translational GTPase EF-G 6 and actively remove Tc from the ribosome in a GTP-hydrolysis-dependent fashion 7,8.”
From Mechanism of tetracycline resistance by ribosomal protection protein Tet(O) (2013) · cites this paper as [6]
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Metadata
- Authors
- Margus, T., Remm, M., & Tenson, T.
- Affiliations
- University of Tartu (EE)
- Corresponding author
- Tenson, Tanel
- Venue
- BMC Genomics
- Published
- 2007-01-10
- Volume
- 8
- Issue
- 1
- Pages
- 15-15
- ISSN
- 1471-2164 (ISSN-L)
- PMC
- PMC1780047
- OpenAlex
- W1939105798
- Cited by
- 115
- References
- 114
- Citations by year
- 2026: 1 · 2025: 5 · 2024: 2 · 2023: 3 · 2022: 5 · 2021: 14 · 2020: 8 · 2019: 1 · 2018: 5 · 2017: 7 · 2016: 11 · 2015: 8 · 2014: 6 · 2013: 8 · 2012: 4
- FWCI
- 2.51
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- BMC Genomics (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Funders
- Wellcome Trust (070210)
- Eesti Teadusfondi
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA and protein synthesis mechanisms
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Bacterial Genetics and Biotechnology
- Keywords
- translational GTPases, bacterial phylogeny, elongation factor Tu, elongation factor G, initiation factor 2, Lepas, Rf3, Selb, selenocysteine incorporation, essential genes, gene family evolution
- MeSH terms
- Amino Acid Sequence, Bacteria, Base Sequence, DNA, Bacterial, Markov Chains, Molecular Sequence Data, Phylogeny, Sequence Homology, Nucleic Acid, Protein Biosynthesis, Genome, Bacterial, GTP Phosphohydrolases
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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