Transposable element annotation in non-model species: The benefits of species-specific repeat libraries using semi-automated EDTA and DeepTE de novo pipelines

Detalhes bibliográficos
Autor(a) principal: Bell, Ellen A.
Data de Publicação: 2022
Outros Autores: Butler, Christopher L., Oliveira, Claudio [UNESP], Marburger, Sarah, Yant, Levi, Taylor, Martin I.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1111/1755-0998.13489
http://hdl.handle.net/11449/222331
Resumo: Transposable elements (TEs) are significant genomic components which can be detected either through sequence homology against existing databases or de novo, with the latter potentially reducing the risk of underestimating TE abundance. Here, we describe the semi-automated generation of a de novo TE library using the newly developed EDTA pipeline and DeepTE classifier in a non-model teleost (Corydoras fulleri). Using both genomic and transcriptomic data, we assess this de novo pipeline's performance across four TE based metrics: (i) abundance, (ii) composition, (iii) fragmentation, and (iv) age distributions. We then compare the results to those found when using a curated teleost library (Danio rerio). We identify quantitative differences in these metrics and highlight how TE library choice can have major impacts on TE-based estimates in non-model species.
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spelling Transposable element annotation in non-model species: The benefits of species-specific repeat libraries using semi-automated EDTA and DeepTE de novo pipelinesTransposable elements (TEs) are significant genomic components which can be detected either through sequence homology against existing databases or de novo, with the latter potentially reducing the risk of underestimating TE abundance. Here, we describe the semi-automated generation of a de novo TE library using the newly developed EDTA pipeline and DeepTE classifier in a non-model teleost (Corydoras fulleri). Using both genomic and transcriptomic data, we assess this de novo pipeline's performance across four TE based metrics: (i) abundance, (ii) composition, (iii) fragmentation, and (iv) age distributions. We then compare the results to those found when using a curated teleost library (Danio rerio). We identify quantitative differences in these metrics and highlight how TE library choice can have major impacts on TE-based estimates in non-model species.Biotechnology and Biological Sciences Research CouncilH2020 European Research CouncilNatural Environment Research CouncilSchool of Biological Sciences University of East AngliaDepartment of Structural and Functional Biology Institute of Biosciences/UNESP Rua Doutor Antonio Celso Wagner ZaninDepartment of Cell and Developmental Biology John Innes CentreFuture Food Beacon of Excellence and the School of Life Sciences University of NottinghamDepartment of Structural and Functional Biology Institute of Biosciences/UNESP Rua Doutor Antonio Celso Wagner ZaninBiotechnology and Biological Sciences Research Council: BB/P013511/1Biotechnology and Biological Sciences Research Council: BB/R017174/1H2020 European Research Council: ERC-StG 679056 HOTSPOTNatural Environment Research Council: NE/L002582/1University of East AngliaUniversidade Estadual Paulista (UNESP)John Innes CentreUniversity of NottinghamBell, Ellen A.Butler, Christopher L.Oliveira, Claudio [UNESP]Marburger, SarahYant, LeviTaylor, Martin I.2022-04-28T19:44:05Z2022-04-28T19:44:05Z2022-02-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article823-833http://dx.doi.org/10.1111/1755-0998.13489Molecular Ecology Resources, v. 22, n. 2, p. 823-833, 2022.1755-09981755-098Xhttp://hdl.handle.net/11449/22233110.1111/1755-0998.134892-s2.0-85114040631Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengMolecular Ecology Resourcesinfo:eu-repo/semantics/openAccess2022-04-28T19:44:05Zoai:repositorio.unesp.br:11449/222331Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T19:10:53.262376Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Transposable element annotation in non-model species: The benefits of species-specific repeat libraries using semi-automated EDTA and DeepTE de novo pipelines
title Transposable element annotation in non-model species: The benefits of species-specific repeat libraries using semi-automated EDTA and DeepTE de novo pipelines
spellingShingle Transposable element annotation in non-model species: The benefits of species-specific repeat libraries using semi-automated EDTA and DeepTE de novo pipelines
Bell, Ellen A.
title_short Transposable element annotation in non-model species: The benefits of species-specific repeat libraries using semi-automated EDTA and DeepTE de novo pipelines
title_full Transposable element annotation in non-model species: The benefits of species-specific repeat libraries using semi-automated EDTA and DeepTE de novo pipelines
title_fullStr Transposable element annotation in non-model species: The benefits of species-specific repeat libraries using semi-automated EDTA and DeepTE de novo pipelines
title_full_unstemmed Transposable element annotation in non-model species: The benefits of species-specific repeat libraries using semi-automated EDTA and DeepTE de novo pipelines
title_sort Transposable element annotation in non-model species: The benefits of species-specific repeat libraries using semi-automated EDTA and DeepTE de novo pipelines
author Bell, Ellen A.
author_facet Bell, Ellen A.
Butler, Christopher L.
Oliveira, Claudio [UNESP]
Marburger, Sarah
Yant, Levi
Taylor, Martin I.
author_role author
author2 Butler, Christopher L.
Oliveira, Claudio [UNESP]
Marburger, Sarah
Yant, Levi
Taylor, Martin I.
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv University of East Anglia
Universidade Estadual Paulista (UNESP)
John Innes Centre
University of Nottingham
dc.contributor.author.fl_str_mv Bell, Ellen A.
Butler, Christopher L.
Oliveira, Claudio [UNESP]
Marburger, Sarah
Yant, Levi
Taylor, Martin I.
description Transposable elements (TEs) are significant genomic components which can be detected either through sequence homology against existing databases or de novo, with the latter potentially reducing the risk of underestimating TE abundance. Here, we describe the semi-automated generation of a de novo TE library using the newly developed EDTA pipeline and DeepTE classifier in a non-model teleost (Corydoras fulleri). Using both genomic and transcriptomic data, we assess this de novo pipeline's performance across four TE based metrics: (i) abundance, (ii) composition, (iii) fragmentation, and (iv) age distributions. We then compare the results to those found when using a curated teleost library (Danio rerio). We identify quantitative differences in these metrics and highlight how TE library choice can have major impacts on TE-based estimates in non-model species.
publishDate 2022
dc.date.none.fl_str_mv 2022-04-28T19:44:05Z
2022-04-28T19:44:05Z
2022-02-01
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.1111/1755-0998.13489
Molecular Ecology Resources, v. 22, n. 2, p. 823-833, 2022.
1755-0998
1755-098X
http://hdl.handle.net/11449/222331
10.1111/1755-0998.13489
2-s2.0-85114040631
url http://dx.doi.org/10.1111/1755-0998.13489
http://hdl.handle.net/11449/222331
identifier_str_mv Molecular Ecology Resources, v. 22, n. 2, p. 823-833, 2022.
1755-0998
1755-098X
10.1111/1755-0998.13489
2-s2.0-85114040631
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Molecular Ecology Resources
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 823-833
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
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