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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2017
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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. |
format | Online Article Text |
id | pubmed-5389681 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
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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