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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...
Autores principales: | , , , , , |
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Formato: | Texto |
Lenguaje: | English |
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Oxford University Press
2010
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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 |
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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 |
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