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  •   Ιδρυματικό Αποθετήριο Πανεπιστημίου Θεσσαλίας
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Ιδρυματικό Αποθετήριο Πανεπιστημίου Θεσσαλίας
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The complex evolutionary history of aminoacyl-tRNA synthetases

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Συγγραφέας
Chaliotis A., Vlastaridis P., Mossialos D., Ibba M., Becker H.D., Stathopoulos C., Amoutzias G.D.
Ημερομηνία
2017
Γλώσσα
en
DOI
10.1093/nar/gkw1182
Λέξη-κλειδί
amino acid transfer RNA ligase
amino acid sequence
bacterium
biology
chemistry
classification
conserved sequence
drug effects
enzymology
genetics
Markov chain
molecular evolution
phylogeny
protein database
protein domain
protein motif
Amino Acid Motifs
Amino Acid Sequence
Amino Acyl-tRNA Synthetases
Bacteria
Computational Biology
Conserved Sequence
Databases, Protein
Evolution, Molecular
Markov Chains
Phylogeny
Protein Domains
Oxford University Press
Εμφάνιση Μεταδεδομένων
Επιτομή
Aminoacyl-tRNA synthetases (AARSs) are a superfamily of enzymes responsible for the faithful translation of the genetic code and have lately become a prominent target for synthetic biologists. Our largescale analysis of > 2500 prokaryotic genomes reveals the complex evolutionary history of these enzymes and their paralogs, in which horizontal gene transfer played an important role. These results show that a widespread belief in the evolutionary stability of this superfamily is misconceived. Although AlaRS, GlyRS, LeuRS, IleRS, ValRS are the most stable members of the family, GluRS, LysRS and CysRS often have paralogs, whereas AsnRS, GlnRS, PylRS and SepRS are often absent from many genomes. In the course of this analysis, highly conserved proteinmotifs and domains within each of the AARS loci were identified and used to build a web-based computational tool for the genome-wide detection of AARS coding sequences. This is based on hidden Markov models (HMMs) and is available together with a cognate database that may be used for specific analyses. The bioinformatics tools that we have developedmay also help to identify newantibiotic agents and targets using these essential enzymes. These tools alsomay help to identify organisms with alternative pathways that are involved in maintaining the fidelity of the genetic code. The Author(s) 2016.
URI
http://hdl.handle.net/11615/72407
Collections
  • Δημοσιεύσεις σε περιοδικά, συνέδρια, κεφάλαια βιβλίων κλπ. [19735]

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