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TEtools facilitates big data expression analysis of transposable elements and reveals an antagonism between their activity and that of piRNA genes

Over recent decades, substantial efforts have been made to understand the interactions between host genomes and transposable elements (TEs). The impact of TEs on the regulation of host genes is well known, with TEs acting as platforms of regulatory sequences. Nevertheless, due to their repetitive na...

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Autores principales: Lerat, Emmanuelle, Fablet, Marie, Modolo, Laurent, Lopez-Maestre, Hélène, Vieira, Cristina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5389681/
https://www.ncbi.nlm.nih.gov/pubmed/28204592
http://dx.doi.org/10.1093/nar/gkw953
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author Lerat, Emmanuelle
Fablet, Marie
Modolo, Laurent
Lopez-Maestre, Hélène
Vieira, Cristina
author_facet Lerat, Emmanuelle
Fablet, Marie
Modolo, Laurent
Lopez-Maestre, Hélène
Vieira, Cristina
author_sort Lerat, Emmanuelle
collection PubMed
description Over recent decades, substantial efforts have been made to understand the interactions between host genomes and transposable elements (TEs). The impact of TEs on the regulation of host genes is well known, with TEs acting as platforms of regulatory sequences. Nevertheless, due to their repetitive nature it is considerably hard to integrate TE analysis into genome-wide studies. Here, we developed a specific tool for the analysis of TE expression: TEtools. This tool takes into account the TE sequence diversity of the genome, it can be applied to unannotated or unassembled genomes and is freely available under the GPL3 (https://github.com/l-modolo/TEtools). TEtools performs the mapping of RNA-seq data obtained from classical mRNAs or small RNAs onto a list of TE sequences and performs differential expression analyses with statistical relevance. Using this tool, we analyzed TE expression from five Drosophila wild-type strains. Our data show for the first time that the activity of TEs is strictly linked to the activity of the genes implicated in the piwi-interacting RNA biogenesis and therefore fits an arms race scenario between TE sequences and host control genes.
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spelling pubmed-53896812017-04-24 TEtools facilitates big data expression analysis of transposable elements and reveals an antagonism between their activity and that of piRNA genes Lerat, Emmanuelle Fablet, Marie Modolo, Laurent Lopez-Maestre, Hélène Vieira, Cristina Nucleic Acids Res Methods Online Over recent decades, substantial efforts have been made to understand the interactions between host genomes and transposable elements (TEs). The impact of TEs on the regulation of host genes is well known, with TEs acting as platforms of regulatory sequences. Nevertheless, due to their repetitive nature it is considerably hard to integrate TE analysis into genome-wide studies. Here, we developed a specific tool for the analysis of TE expression: TEtools. This tool takes into account the TE sequence diversity of the genome, it can be applied to unannotated or unassembled genomes and is freely available under the GPL3 (https://github.com/l-modolo/TEtools). TEtools performs the mapping of RNA-seq data obtained from classical mRNAs or small RNAs onto a list of TE sequences and performs differential expression analyses with statistical relevance. Using this tool, we analyzed TE expression from five Drosophila wild-type strains. Our data show for the first time that the activity of TEs is strictly linked to the activity of the genes implicated in the piwi-interacting RNA biogenesis and therefore fits an arms race scenario between TE sequences and host control genes. Oxford University Press 2017-02-28 2016-10-19 /pmc/articles/PMC5389681/ /pubmed/28204592 http://dx.doi.org/10.1093/nar/gkw953 Text en © The Author(s) 2016. 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 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 Methods Online
Lerat, Emmanuelle
Fablet, Marie
Modolo, Laurent
Lopez-Maestre, Hélène
Vieira, Cristina
TEtools facilitates big data expression analysis of transposable elements and reveals an antagonism between their activity and that of piRNA genes
title TEtools facilitates big data expression analysis of transposable elements and reveals an antagonism between their activity and that of piRNA genes
title_full TEtools facilitates big data expression analysis of transposable elements and reveals an antagonism between their activity and that of piRNA genes
title_fullStr TEtools facilitates big data expression analysis of transposable elements and reveals an antagonism between their activity and that of piRNA genes
title_full_unstemmed TEtools facilitates big data expression analysis of transposable elements and reveals an antagonism between their activity and that of piRNA genes
title_short TEtools facilitates big data expression analysis of transposable elements and reveals an antagonism between their activity and that of piRNA genes
title_sort tetools facilitates big data expression analysis of transposable elements and reveals an antagonism between their activity and that of pirna genes
topic Methods Online
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5389681/
https://www.ncbi.nlm.nih.gov/pubmed/28204592
http://dx.doi.org/10.1093/nar/gkw953
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