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Meta-analysis of small RNA-sequencing errors reveals ubiquitous post-transcriptional RNA modifications
Recent advances in DNA-sequencing technology have made it possible to obtain large datasets of small RNA sequences. Here we demonstrate that not all non-perfectly matched small RNA sequences are simple technological sequencing errors, but many hold valuable biological information. Analysis of three...
Autores principales: | , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2009
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2677864/ https://www.ncbi.nlm.nih.gov/pubmed/19255090 http://dx.doi.org/10.1093/nar/gkp093 |
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author | Ebhardt, H. Alexander Tsang, Herbert H. Dai, Denny C. Liu, Yifeng Bostan, Babak Fahlman, Richard P. |
author_facet | Ebhardt, H. Alexander Tsang, Herbert H. Dai, Denny C. Liu, Yifeng Bostan, Babak Fahlman, Richard P. |
author_sort | Ebhardt, H. Alexander |
collection | PubMed |
description | Recent advances in DNA-sequencing technology have made it possible to obtain large datasets of small RNA sequences. Here we demonstrate that not all non-perfectly matched small RNA sequences are simple technological sequencing errors, but many hold valuable biological information. Analysis of three small RNA datasets originating from Oryza sativa and Arabidopsis thaliana small RNA-sequencing projects demonstrates that many single nucleotide substitution errors overlap when aligning homologous non-identical small RNA sequences. Investigating the sites and identities of substitution errors reveal that many potentially originate as a result of post-transcriptional modifications or RNA editing. Modifications include N1-methyl modified purine nucleotides in tRNA, potential deamination or base substitutions in micro RNAs, 3′ micro RNA uridine extensions and 5′ micro RNA deletions. Additionally, further analysis of large sequencing datasets reveal that the combined effects of 5′ deletions and 3′ uridine extensions can alter the specificity by which micro RNAs associate with different Argonaute proteins. Hence, we demonstrate that not all sequencing errors in small RNA datasets are technical artifacts, but that these actually often reveal valuable biological insights to the sites of post-transcriptional RNA modifications. |
format | Text |
id | pubmed-2677864 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2009 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-26778642009-05-15 Meta-analysis of small RNA-sequencing errors reveals ubiquitous post-transcriptional RNA modifications Ebhardt, H. Alexander Tsang, Herbert H. Dai, Denny C. Liu, Yifeng Bostan, Babak Fahlman, Richard P. Nucleic Acids Res RNA Recent advances in DNA-sequencing technology have made it possible to obtain large datasets of small RNA sequences. Here we demonstrate that not all non-perfectly matched small RNA sequences are simple technological sequencing errors, but many hold valuable biological information. Analysis of three small RNA datasets originating from Oryza sativa and Arabidopsis thaliana small RNA-sequencing projects demonstrates that many single nucleotide substitution errors overlap when aligning homologous non-identical small RNA sequences. Investigating the sites and identities of substitution errors reveal that many potentially originate as a result of post-transcriptional modifications or RNA editing. Modifications include N1-methyl modified purine nucleotides in tRNA, potential deamination or base substitutions in micro RNAs, 3′ micro RNA uridine extensions and 5′ micro RNA deletions. Additionally, further analysis of large sequencing datasets reveal that the combined effects of 5′ deletions and 3′ uridine extensions can alter the specificity by which micro RNAs associate with different Argonaute proteins. Hence, we demonstrate that not all sequencing errors in small RNA datasets are technical artifacts, but that these actually often reveal valuable biological insights to the sites of post-transcriptional RNA modifications. Oxford University Press 2009-05 2009-03-02 /pmc/articles/PMC2677864/ /pubmed/19255090 http://dx.doi.org/10.1093/nar/gkp093 Text en © 2009 The Author(s) http://creativecommons.org/licenses/by-nc/2.0/uk/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | RNA Ebhardt, H. Alexander Tsang, Herbert H. Dai, Denny C. Liu, Yifeng Bostan, Babak Fahlman, Richard P. Meta-analysis of small RNA-sequencing errors reveals ubiquitous post-transcriptional RNA modifications |
title | Meta-analysis of small RNA-sequencing errors reveals ubiquitous post-transcriptional RNA modifications |
title_full | Meta-analysis of small RNA-sequencing errors reveals ubiquitous post-transcriptional RNA modifications |
title_fullStr | Meta-analysis of small RNA-sequencing errors reveals ubiquitous post-transcriptional RNA modifications |
title_full_unstemmed | Meta-analysis of small RNA-sequencing errors reveals ubiquitous post-transcriptional RNA modifications |
title_short | Meta-analysis of small RNA-sequencing errors reveals ubiquitous post-transcriptional RNA modifications |
title_sort | meta-analysis of small rna-sequencing errors reveals ubiquitous post-transcriptional rna modifications |
topic | RNA |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2677864/ https://www.ncbi.nlm.nih.gov/pubmed/19255090 http://dx.doi.org/10.1093/nar/gkp093 |
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