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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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2017
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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. |
format | Online Article Text |
id | pubmed-5388404 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
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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