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Systematic prediction of genes functionally associated with bacterial retrons and classification of the encoded tripartite systems

Bacterial retrons consist of a reverse transcriptase (RT) and a contiguous non-coding RNA (ncRNA) gene. One third of annotated retrons carry additional open reading frames (ORFs), the contribution and significance of which in retron biology remains to be determined. In this study we developed a comp...

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Autores principales: Mestre, Mario Rodríguez, González-Delgado, Alejandro, Gutiérrez-Rus, Luis I, Martínez-Abarca, Francisco, Toro, Nicolás
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7736814/
https://www.ncbi.nlm.nih.gov/pubmed/33275130
http://dx.doi.org/10.1093/nar/gkaa1149
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author Mestre, Mario Rodríguez
González-Delgado, Alejandro
Gutiérrez-Rus, Luis I
Martínez-Abarca, Francisco
Toro, Nicolás
author_facet Mestre, Mario Rodríguez
González-Delgado, Alejandro
Gutiérrez-Rus, Luis I
Martínez-Abarca, Francisco
Toro, Nicolás
author_sort Mestre, Mario Rodríguez
collection PubMed
description Bacterial retrons consist of a reverse transcriptase (RT) and a contiguous non-coding RNA (ncRNA) gene. One third of annotated retrons carry additional open reading frames (ORFs), the contribution and significance of which in retron biology remains to be determined. In this study we developed a computational pipeline for the systematic prediction of genes specifically associated with retron RTs based on a previously reported large dataset representative of the diversity of prokaryotic RTs. We found that retrons generally comprise a tripartite system composed of the ncRNA, the RT and an additional protein or RT-fused domain with diverse enzymatic functions. These retron systems are highly modular, and their components have coevolved to different extents. Based on the additional module, we classified retrons into 13 types, some of which include additional variants. Our findings provide a basis for future studies on the biological function of retrons and for expanding their biotechnological applications.
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spelling pubmed-77368142020-12-17 Systematic prediction of genes functionally associated with bacterial retrons and classification of the encoded tripartite systems Mestre, Mario Rodríguez González-Delgado, Alejandro Gutiérrez-Rus, Luis I Martínez-Abarca, Francisco Toro, Nicolás Nucleic Acids Res Data Resources and Analyses Bacterial retrons consist of a reverse transcriptase (RT) and a contiguous non-coding RNA (ncRNA) gene. One third of annotated retrons carry additional open reading frames (ORFs), the contribution and significance of which in retron biology remains to be determined. In this study we developed a computational pipeline for the systematic prediction of genes specifically associated with retron RTs based on a previously reported large dataset representative of the diversity of prokaryotic RTs. We found that retrons generally comprise a tripartite system composed of the ncRNA, the RT and an additional protein or RT-fused domain with diverse enzymatic functions. These retron systems are highly modular, and their components have coevolved to different extents. Based on the additional module, we classified retrons into 13 types, some of which include additional variants. Our findings provide a basis for future studies on the biological function of retrons and for expanding their biotechnological applications. Oxford University Press 2020-12-04 /pmc/articles/PMC7736814/ /pubmed/33275130 http://dx.doi.org/10.1093/nar/gkaa1149 Text en © The Author(s) 2020. 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 Non-Commercial 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 Data Resources and Analyses
Mestre, Mario Rodríguez
González-Delgado, Alejandro
Gutiérrez-Rus, Luis I
Martínez-Abarca, Francisco
Toro, Nicolás
Systematic prediction of genes functionally associated with bacterial retrons and classification of the encoded tripartite systems
title Systematic prediction of genes functionally associated with bacterial retrons and classification of the encoded tripartite systems
title_full Systematic prediction of genes functionally associated with bacterial retrons and classification of the encoded tripartite systems
title_fullStr Systematic prediction of genes functionally associated with bacterial retrons and classification of the encoded tripartite systems
title_full_unstemmed Systematic prediction of genes functionally associated with bacterial retrons and classification of the encoded tripartite systems
title_short Systematic prediction of genes functionally associated with bacterial retrons and classification of the encoded tripartite systems
title_sort systematic prediction of genes functionally associated with bacterial retrons and classification of the encoded tripartite systems
topic Data Resources and Analyses
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7736814/
https://www.ncbi.nlm.nih.gov/pubmed/33275130
http://dx.doi.org/10.1093/nar/gkaa1149
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