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PoPoolationTE2: Comparative Population Genomics of Transposable Elements Using Pool-Seq
The evolutionary dynamics of transposable elements (TEs) are still poorly understood. One reason is that TE abundance needs to be studied at the population level, but sequencing individuals on a population scale is still too expensive to characterize TE abundance in multiple populations. Although se...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5026257/ https://www.ncbi.nlm.nih.gov/pubmed/27486221 http://dx.doi.org/10.1093/molbev/msw137 |
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author | Kofler, Robert Gómez-Sánchez, Daniel Schlötterer, Christian |
author_facet | Kofler, Robert Gómez-Sánchez, Daniel Schlötterer, Christian |
author_sort | Kofler, Robert |
collection | PubMed |
description | The evolutionary dynamics of transposable elements (TEs) are still poorly understood. One reason is that TE abundance needs to be studied at the population level, but sequencing individuals on a population scale is still too expensive to characterize TE abundance in multiple populations. Although sequencing pools of individuals dramatically reduces sequencing costs, a comparison of TE abundance between pooled samples has been difficult, if not impossible, due to various biases. Here, we introduce a novel bioinformatic tool, PoPoolationTE2, which is specifically tailored for the comparison of TE abundance among pooled population samples or different tissues. Using computer simulations, we demonstrate that PoPoolationTE2 not only faithfully recovers TE insertion frequencies and positions but, by homogenizing the power to identify TEs across samples, it provides an unbiased comparison of TE abundance between pooled population samples. We anticipate that PoPoolationTE2 will greatly facilitate the analysis of TE insertion patterns in a broad range of applications. |
format | Online Article Text |
id | pubmed-5026257 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-50262572016-09-20 PoPoolationTE2: Comparative Population Genomics of Transposable Elements Using Pool-Seq Kofler, Robert Gómez-Sánchez, Daniel Schlötterer, Christian Mol Biol Evol Resources The evolutionary dynamics of transposable elements (TEs) are still poorly understood. One reason is that TE abundance needs to be studied at the population level, but sequencing individuals on a population scale is still too expensive to characterize TE abundance in multiple populations. Although sequencing pools of individuals dramatically reduces sequencing costs, a comparison of TE abundance between pooled samples has been difficult, if not impossible, due to various biases. Here, we introduce a novel bioinformatic tool, PoPoolationTE2, which is specifically tailored for the comparison of TE abundance among pooled population samples or different tissues. Using computer simulations, we demonstrate that PoPoolationTE2 not only faithfully recovers TE insertion frequencies and positions but, by homogenizing the power to identify TEs across samples, it provides an unbiased comparison of TE abundance between pooled population samples. We anticipate that PoPoolationTE2 will greatly facilitate the analysis of TE insertion patterns in a broad range of applications. Oxford University Press 2016-10 2016-08-02 /pmc/articles/PMC5026257/ /pubmed/27486221 http://dx.doi.org/10.1093/molbev/msw137 Text en © The Author 2016. Published by Oxford University Press on behalf of the Society for Molecular Biology and Evolution. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Resources Kofler, Robert Gómez-Sánchez, Daniel Schlötterer, Christian PoPoolationTE2: Comparative Population Genomics of Transposable Elements Using Pool-Seq |
title | PoPoolationTE2: Comparative Population Genomics of Transposable Elements Using Pool-Seq |
title_full | PoPoolationTE2: Comparative Population Genomics of Transposable Elements Using Pool-Seq |
title_fullStr | PoPoolationTE2: Comparative Population Genomics of Transposable Elements Using Pool-Seq |
title_full_unstemmed | PoPoolationTE2: Comparative Population Genomics of Transposable Elements Using Pool-Seq |
title_short | PoPoolationTE2: Comparative Population Genomics of Transposable Elements Using Pool-Seq |
title_sort | popoolationte2: comparative population genomics of transposable elements using pool-seq |
topic | Resources |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5026257/ https://www.ncbi.nlm.nih.gov/pubmed/27486221 http://dx.doi.org/10.1093/molbev/msw137 |
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