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TE Density: a tool to investigate the biology of transposable elements

BACKGROUND: Transposable elements (TEs) are powerful creators of genotypic and phenotypic diversity due to their inherent mutagenic capabilities and in this way they serve as a deep reservoir of sequences for genomic variation. As agents of genetic disruption, a TE’s potential to impact phenotype is...

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Autores principales: Teresi, Scott J., Teresi, Michael B., Edger, Patrick P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9004194/
https://www.ncbi.nlm.nih.gov/pubmed/35413944
http://dx.doi.org/10.1186/s13100-022-00264-4
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author Teresi, Scott J.
Teresi, Michael B.
Edger, Patrick P.
author_facet Teresi, Scott J.
Teresi, Michael B.
Edger, Patrick P.
author_sort Teresi, Scott J.
collection PubMed
description BACKGROUND: Transposable elements (TEs) are powerful creators of genotypic and phenotypic diversity due to their inherent mutagenic capabilities and in this way they serve as a deep reservoir of sequences for genomic variation. As agents of genetic disruption, a TE’s potential to impact phenotype is partially a factor of its location in the genome. Previous research has shown TEs’ ability to impact the expression of neighboring genes, however our understanding of this trend is hampered by the exceptional amount of diversity in the TE world, and a lack of publicly available computational methods that quantify the presence of TEs relative to genes. RESULTS: Here, we have developed a tool to more easily quantify TE presence relative to genes through the use of only a gene and TE annotation, yielding a new metric we call TE Density. Briefly defined as the proportion of TE-occupied base-pairs relative to a window-size of the genome. This new pipeline reports TE density for each gene in the genome, for each type descriptor of TE (order and superfamily), and for multiple positions and distances relative to the gene (upstream, intragenic, and downstream) over sliding, user-defined windows. In this way, we overcome previous limitations to the study of TE-gene relationships by focusing on all TE types present in the genome, utilizing flexible genomic distances for measurement, and reporting a TE presence metric for every gene in the genome. CONCLUSIONS: Together, this new tool opens up new avenues for studying TE-gene relationships, genome architecture, comparative genomics, and the tremendous diversity present of the TE world. TE Density is open-source and freely available at: https://github.com/sjteresi/TE_Density. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at (10.1186/s13100-022-00264-4).
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spelling pubmed-90041942022-04-13 TE Density: a tool to investigate the biology of transposable elements Teresi, Scott J. Teresi, Michael B. Edger, Patrick P. Mob DNA Software BACKGROUND: Transposable elements (TEs) are powerful creators of genotypic and phenotypic diversity due to their inherent mutagenic capabilities and in this way they serve as a deep reservoir of sequences for genomic variation. As agents of genetic disruption, a TE’s potential to impact phenotype is partially a factor of its location in the genome. Previous research has shown TEs’ ability to impact the expression of neighboring genes, however our understanding of this trend is hampered by the exceptional amount of diversity in the TE world, and a lack of publicly available computational methods that quantify the presence of TEs relative to genes. RESULTS: Here, we have developed a tool to more easily quantify TE presence relative to genes through the use of only a gene and TE annotation, yielding a new metric we call TE Density. Briefly defined as the proportion of TE-occupied base-pairs relative to a window-size of the genome. This new pipeline reports TE density for each gene in the genome, for each type descriptor of TE (order and superfamily), and for multiple positions and distances relative to the gene (upstream, intragenic, and downstream) over sliding, user-defined windows. In this way, we overcome previous limitations to the study of TE-gene relationships by focusing on all TE types present in the genome, utilizing flexible genomic distances for measurement, and reporting a TE presence metric for every gene in the genome. CONCLUSIONS: Together, this new tool opens up new avenues for studying TE-gene relationships, genome architecture, comparative genomics, and the tremendous diversity present of the TE world. TE Density is open-source and freely available at: https://github.com/sjteresi/TE_Density. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at (10.1186/s13100-022-00264-4). BioMed Central 2022-04-12 /pmc/articles/PMC9004194/ /pubmed/35413944 http://dx.doi.org/10.1186/s13100-022-00264-4 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Software
Teresi, Scott J.
Teresi, Michael B.
Edger, Patrick P.
TE Density: a tool to investigate the biology of transposable elements
title TE Density: a tool to investigate the biology of transposable elements
title_full TE Density: a tool to investigate the biology of transposable elements
title_fullStr TE Density: a tool to investigate the biology of transposable elements
title_full_unstemmed TE Density: a tool to investigate the biology of transposable elements
title_short TE Density: a tool to investigate the biology of transposable elements
title_sort te density: a tool to investigate the biology of transposable elements
topic Software
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9004194/
https://www.ncbi.nlm.nih.gov/pubmed/35413944
http://dx.doi.org/10.1186/s13100-022-00264-4
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