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Using bioinformatic and phylogenetic approaches to classify transposable elements and understand their complex evolutionary histories
In recent years, much attention has been paid to comparative genomic studies of transposable elements (TEs) and the ensuing problems of their identification, classification, and annotation. Different approaches and diverse automated pipelines are being used to catalogue and categorize mobile genetic...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2017
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5718144/ https://www.ncbi.nlm.nih.gov/pubmed/29225705 http://dx.doi.org/10.1186/s13100-017-0103-2 |
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author | Arkhipova, Irina R. |
author_facet | Arkhipova, Irina R. |
author_sort | Arkhipova, Irina R. |
collection | PubMed |
description | In recent years, much attention has been paid to comparative genomic studies of transposable elements (TEs) and the ensuing problems of their identification, classification, and annotation. Different approaches and diverse automated pipelines are being used to catalogue and categorize mobile genetic elements in the ever-increasing number of prokaryotic and eukaryotic genomes, with little or no connectivity between different domains of life. Here, an overview of the current picture of TE classification and evolutionary relationships is presented, updating the diversity of TE types uncovered in sequenced genomes. A tripartite TE classification scheme is proposed to account for their replicative, integrative, and structural components, and the need to expand in vitro and in vivo studies of their structural and biological properties is emphasized. Bioinformatic studies have now become front and center of novel TE discovery, and experimental pursuits of these discoveries hold great promise for both basic and applied science. |
format | Online Article Text |
id | pubmed-5718144 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-57181442017-12-08 Using bioinformatic and phylogenetic approaches to classify transposable elements and understand their complex evolutionary histories Arkhipova, Irina R. Mob DNA Review In recent years, much attention has been paid to comparative genomic studies of transposable elements (TEs) and the ensuing problems of their identification, classification, and annotation. Different approaches and diverse automated pipelines are being used to catalogue and categorize mobile genetic elements in the ever-increasing number of prokaryotic and eukaryotic genomes, with little or no connectivity between different domains of life. Here, an overview of the current picture of TE classification and evolutionary relationships is presented, updating the diversity of TE types uncovered in sequenced genomes. A tripartite TE classification scheme is proposed to account for their replicative, integrative, and structural components, and the need to expand in vitro and in vivo studies of their structural and biological properties is emphasized. Bioinformatic studies have now become front and center of novel TE discovery, and experimental pursuits of these discoveries hold great promise for both basic and applied science. BioMed Central 2017-12-06 /pmc/articles/PMC5718144/ /pubmed/29225705 http://dx.doi.org/10.1186/s13100-017-0103-2 Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Review Arkhipova, Irina R. Using bioinformatic and phylogenetic approaches to classify transposable elements and understand their complex evolutionary histories |
title | Using bioinformatic and phylogenetic approaches to classify transposable elements and understand their complex evolutionary histories |
title_full | Using bioinformatic and phylogenetic approaches to classify transposable elements and understand their complex evolutionary histories |
title_fullStr | Using bioinformatic and phylogenetic approaches to classify transposable elements and understand their complex evolutionary histories |
title_full_unstemmed | Using bioinformatic and phylogenetic approaches to classify transposable elements and understand their complex evolutionary histories |
title_short | Using bioinformatic and phylogenetic approaches to classify transposable elements and understand their complex evolutionary histories |
title_sort | using bioinformatic and phylogenetic approaches to classify transposable elements and understand their complex evolutionary histories |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5718144/ https://www.ncbi.nlm.nih.gov/pubmed/29225705 http://dx.doi.org/10.1186/s13100-017-0103-2 |
work_keys_str_mv | AT arkhipovairinar usingbioinformaticandphylogeneticapproachestoclassifytransposableelementsandunderstandtheircomplexevolutionaryhistories |