Cargando…

Large-scale detection and analysis of RNA editing in grape mtDNA by RNA deep-sequencing

RNA editing is a widespread post-transcriptional molecular phenomenon that can increase proteomic diversity, by modifying the sequence of completely or partially non-functional primary transcripts, through a variety of mechanistically and evolutionarily unrelated pathways. Editing by base substituti...

Descripción completa

Detalles Bibliográficos
Autores principales: Picardi, Ernesto, Horner, David S., Chiara, Matteo, Schiavon, Riccardo, Valle, Giorgio, Pesole, Graziano
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2919710/
https://www.ncbi.nlm.nih.gov/pubmed/20385587
http://dx.doi.org/10.1093/nar/gkq202
_version_ 1782185212115943424
author Picardi, Ernesto
Horner, David S.
Chiara, Matteo
Schiavon, Riccardo
Valle, Giorgio
Pesole, Graziano
author_facet Picardi, Ernesto
Horner, David S.
Chiara, Matteo
Schiavon, Riccardo
Valle, Giorgio
Pesole, Graziano
author_sort Picardi, Ernesto
collection PubMed
description RNA editing is a widespread post-transcriptional molecular phenomenon that can increase proteomic diversity, by modifying the sequence of completely or partially non-functional primary transcripts, through a variety of mechanistically and evolutionarily unrelated pathways. Editing by base substitution has been investigated in both animals and plants. However, conventional strategies based on directed Sanger sequencing are time-consuming and effectively preclude genome wide identification of RNA editing and assessment of partial and tissue-specific editing sites. In contrast, the high-throughput RNA-Seq approach allows the generation of a comprehensive landscape of RNA editing at the genome level. Short reads from Solexa/Illumina GA and ABI SOLiD platforms have been used to investigate the editing pattern in mitochondria of Vitis vinifera providing significant support for 401 C-to-U conversions in coding regions and an additional 44 modifications in non-coding RNAs. Moreover, 76% of all C-to-U conversions in coding genes represent partial RNA editing events and 28% of them were shown to be significantly tissue specific. Solexa/Illumina and SOLiD platforms showed different characteristics with respect to the specific issue of large-scale editing analysis, and the combined approach presented here reduces the false positive rate of discovery of editing events.
format Text
id pubmed-2919710
institution National Center for Biotechnology Information
language English
publishDate 2010
publisher Oxford University Press
record_format MEDLINE/PubMed
spelling pubmed-29197102010-08-11 Large-scale detection and analysis of RNA editing in grape mtDNA by RNA deep-sequencing Picardi, Ernesto Horner, David S. Chiara, Matteo Schiavon, Riccardo Valle, Giorgio Pesole, Graziano Nucleic Acids Res Genomics RNA editing is a widespread post-transcriptional molecular phenomenon that can increase proteomic diversity, by modifying the sequence of completely or partially non-functional primary transcripts, through a variety of mechanistically and evolutionarily unrelated pathways. Editing by base substitution has been investigated in both animals and plants. However, conventional strategies based on directed Sanger sequencing are time-consuming and effectively preclude genome wide identification of RNA editing and assessment of partial and tissue-specific editing sites. In contrast, the high-throughput RNA-Seq approach allows the generation of a comprehensive landscape of RNA editing at the genome level. Short reads from Solexa/Illumina GA and ABI SOLiD platforms have been used to investigate the editing pattern in mitochondria of Vitis vinifera providing significant support for 401 C-to-U conversions in coding regions and an additional 44 modifications in non-coding RNAs. Moreover, 76% of all C-to-U conversions in coding genes represent partial RNA editing events and 28% of them were shown to be significantly tissue specific. Solexa/Illumina and SOLiD platforms showed different characteristics with respect to the specific issue of large-scale editing analysis, and the combined approach presented here reduces the false positive rate of discovery of editing events. Oxford University Press 2010-08 2010-04-12 /pmc/articles/PMC2919710/ /pubmed/20385587 http://dx.doi.org/10.1093/nar/gkq202 Text en © The Author(s) 2010. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/2.5 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.5), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Genomics
Picardi, Ernesto
Horner, David S.
Chiara, Matteo
Schiavon, Riccardo
Valle, Giorgio
Pesole, Graziano
Large-scale detection and analysis of RNA editing in grape mtDNA by RNA deep-sequencing
title Large-scale detection and analysis of RNA editing in grape mtDNA by RNA deep-sequencing
title_full Large-scale detection and analysis of RNA editing in grape mtDNA by RNA deep-sequencing
title_fullStr Large-scale detection and analysis of RNA editing in grape mtDNA by RNA deep-sequencing
title_full_unstemmed Large-scale detection and analysis of RNA editing in grape mtDNA by RNA deep-sequencing
title_short Large-scale detection and analysis of RNA editing in grape mtDNA by RNA deep-sequencing
title_sort large-scale detection and analysis of rna editing in grape mtdna by rna deep-sequencing
topic Genomics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2919710/
https://www.ncbi.nlm.nih.gov/pubmed/20385587
http://dx.doi.org/10.1093/nar/gkq202
work_keys_str_mv AT picardiernesto largescaledetectionandanalysisofrnaeditingingrapemtdnabyrnadeepsequencing
AT hornerdavids largescaledetectionandanalysisofrnaeditingingrapemtdnabyrnadeepsequencing
AT chiaramatteo largescaledetectionandanalysisofrnaeditingingrapemtdnabyrnadeepsequencing
AT schiavonriccardo largescaledetectionandanalysisofrnaeditingingrapemtdnabyrnadeepsequencing
AT vallegiorgio largescaledetectionandanalysisofrnaeditingingrapemtdnabyrnadeepsequencing
AT pesolegraziano largescaledetectionandanalysisofrnaeditingingrapemtdnabyrnadeepsequencing