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The complex evolutionary history of aminoacyl-tRNA synthetases

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 large-scale analysis of >2500 prokaryotic genomes reveals the complex evolutionary history of these...

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Autores principales: Chaliotis, Anargyros, Vlastaridis, Panayotis, Mossialos, Dimitris, Ibba, Michael, Becker, Hubert D., Stathopoulos, Constantinos, Amoutzias, Grigorios D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5388404/
https://www.ncbi.nlm.nih.gov/pubmed/28180287
http://dx.doi.org/10.1093/nar/gkw1182
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author Chaliotis, Anargyros
Vlastaridis, Panayotis
Mossialos, Dimitris
Ibba, Michael
Becker, Hubert D.
Stathopoulos, Constantinos
Amoutzias, Grigorios D.
author_facet Chaliotis, Anargyros
Vlastaridis, Panayotis
Mossialos, Dimitris
Ibba, Michael
Becker, Hubert D.
Stathopoulos, Constantinos
Amoutzias, Grigorios D.
author_sort Chaliotis, Anargyros
collection PubMed
description 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 large-scale 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 protein motifs 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 developed may also help to identify new antibiotic agents and targets using these essential enzymes. These tools also may help to identify organisms with alternative pathways that are involved in maintaining the fidelity of the genetic code.
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spelling pubmed-53884042017-04-18 The complex evolutionary history of aminoacyl-tRNA synthetases Chaliotis, Anargyros Vlastaridis, Panayotis Mossialos, Dimitris Ibba, Michael Becker, Hubert D. Stathopoulos, Constantinos Amoutzias, Grigorios D. Nucleic Acids Res Computational Biology 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 large-scale 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 protein motifs 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 developed may also help to identify new antibiotic agents and targets using these essential enzymes. These tools also may help to identify organisms with alternative pathways that are involved in maintaining the fidelity of the genetic code. Oxford University Press 2017-02-17 2016-11-28 /pmc/articles/PMC5388404/ /pubmed/28180287 http://dx.doi.org/10.1093/nar/gkw1182 Text en © The Author(s) 2016. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Computational Biology
Chaliotis, Anargyros
Vlastaridis, Panayotis
Mossialos, Dimitris
Ibba, Michael
Becker, Hubert D.
Stathopoulos, Constantinos
Amoutzias, Grigorios D.
The complex evolutionary history of aminoacyl-tRNA synthetases
title The complex evolutionary history of aminoacyl-tRNA synthetases
title_full The complex evolutionary history of aminoacyl-tRNA synthetases
title_fullStr The complex evolutionary history of aminoacyl-tRNA synthetases
title_full_unstemmed The complex evolutionary history of aminoacyl-tRNA synthetases
title_short The complex evolutionary history of aminoacyl-tRNA synthetases
title_sort complex evolutionary history of aminoacyl-trna synthetases
topic Computational Biology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5388404/
https://www.ncbi.nlm.nih.gov/pubmed/28180287
http://dx.doi.org/10.1093/nar/gkw1182
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