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Traditional versus 3′ RNA-seq in a non-model species

One limitation of the widely used RNA-seq method is that long transcripts are represented by more reads than shorter transcripts, resulting in a biased estimation of expression levels. The 3′ RNA-seq method, which yields only one sequence per transcript, bypasses this limitation. Here, RNA was extra...

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Detalles Bibliográficos
Autores principales: Tandonnet, Sophie, Torres, Tatiana Teixeira
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5124356/
https://www.ncbi.nlm.nih.gov/pubmed/27909684
http://dx.doi.org/10.1016/j.gdata.2016.11.002
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author Tandonnet, Sophie
Torres, Tatiana Teixeira
author_facet Tandonnet, Sophie
Torres, Tatiana Teixeira
author_sort Tandonnet, Sophie
collection PubMed
description One limitation of the widely used RNA-seq method is that long transcripts are represented by more reads than shorter transcripts, resulting in a biased estimation of expression levels. The 3′ RNA-seq method, which yields only one sequence per transcript, bypasses this limitation. Here, RNA was extracted from two samples, in which we expected to find differentially expressed genes. Each was processed by both traditional and 3′ RNA-seq protocols. Both methods yielded similar differentially expressed genes and estimated expression levels in a comparable way, confirming they both represent valid tools for RNA-seq analysis. Notably, however, we identified more differentially expressed transcripts with the 3′ RNA-seq method, suggesting a greater power to detect expression variation using this method. Hence, when little genomic information is available for the species studied, the standard RNA-seq presents a better cost-benefit compromise, whereas for model species, the 3′ RNA-seq method might more accurately detect differential expression.
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spelling pubmed-51243562016-12-01 Traditional versus 3′ RNA-seq in a non-model species Tandonnet, Sophie Torres, Tatiana Teixeira Genom Data Regular Article One limitation of the widely used RNA-seq method is that long transcripts are represented by more reads than shorter transcripts, resulting in a biased estimation of expression levels. The 3′ RNA-seq method, which yields only one sequence per transcript, bypasses this limitation. Here, RNA was extracted from two samples, in which we expected to find differentially expressed genes. Each was processed by both traditional and 3′ RNA-seq protocols. Both methods yielded similar differentially expressed genes and estimated expression levels in a comparable way, confirming they both represent valid tools for RNA-seq analysis. Notably, however, we identified more differentially expressed transcripts with the 3′ RNA-seq method, suggesting a greater power to detect expression variation using this method. Hence, when little genomic information is available for the species studied, the standard RNA-seq presents a better cost-benefit compromise, whereas for model species, the 3′ RNA-seq method might more accurately detect differential expression. Elsevier 2016-11-18 /pmc/articles/PMC5124356/ /pubmed/27909684 http://dx.doi.org/10.1016/j.gdata.2016.11.002 Text en © 2016 The Author(s) http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Regular Article
Tandonnet, Sophie
Torres, Tatiana Teixeira
Traditional versus 3′ RNA-seq in a non-model species
title Traditional versus 3′ RNA-seq in a non-model species
title_full Traditional versus 3′ RNA-seq in a non-model species
title_fullStr Traditional versus 3′ RNA-seq in a non-model species
title_full_unstemmed Traditional versus 3′ RNA-seq in a non-model species
title_short Traditional versus 3′ RNA-seq in a non-model species
title_sort traditional versus 3′ rna-seq in a non-model species
topic Regular Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5124356/
https://www.ncbi.nlm.nih.gov/pubmed/27909684
http://dx.doi.org/10.1016/j.gdata.2016.11.002
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