DANTE and DANTE_LTR: lineage-centric annotation pipelines for long terminal repeat retrotransposons in plant genomes.


Journal

NAR genomics and bioinformatics
ISSN: 2631-9268
Titre abrégé: NAR Genom Bioinform
Pays: England
ID NLM: 101756213

Informations de publication

Date de publication:
Sep 2024
Historique:
received: 29 05 2024
revised: 18 07 2024
accepted: 15 08 2024
medline: 31 8 2024
pubmed: 31 8 2024
entrez: 30 8 2024
Statut: epublish

Résumé

Long terminal repeat (LTR) retrotransposons constitute a predominant class of repetitive DNA elements in most plant genomes. With the increasing number of sequenced plant genomes, there is an ongoing demand for computational tools facilitating efficient annotation and classification of LTR retrotransposons in plant genome assemblies. Herein, we introduce DANTE, a computational pipeline for Domain-based ANnotation of Transposable Elements, designed for sensitive detection of these elements via their conserved protein domain sequences. The identified protein domains are subsequently inputted into the DANTE_LTR pipeline to annotate complete element sequences by detecting their structural features, such as LTRs, in adjacent genomic regions. Leveraging domain sequences allows for precise classification of elements into phylogenetic lineages, offering a more granular annotation compared with coarser conventional superfamily-based classification methods. The efficiency and accuracy of this approach were evidenced via annotation of LTR retrotransposons in 93 plant genomes. Results were benchmarked against several established pipelines, showing that DANTE_LTR is capable of identifying significantly more intact LTR retrotransposons. DANTE and DANTE_LTR are provided as user-friendly Galaxy tools accessible via a public server (https://repeatexplorer-elixir.cerit-sc.cz), installable on local Galaxy instances from the Galaxy tool shed or executable from the command line.

Identifiants

pubmed: 39211332
doi: 10.1093/nargab/lqae113
pii: lqae113
pmc: PMC11358816
doi:

Types de publication

Journal Article

Langues

eng

Pagination

lqae113

Informations de copyright

© The Author(s) 2024. Published by Oxford University Press on behalf of NAR Genomics and Bioinformatics.

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Auteurs

Petr Novák (P)

Biology Centre, Czech Academy of Sciences, Branišovská 31, České Budějovice, Czech Republic.

Nina Hoštáková (N)

Biology Centre, Czech Academy of Sciences, Branišovská 31, České Budějovice, Czech Republic.

Pavel Neumann (P)

Biology Centre, Czech Academy of Sciences, Branišovská 31, České Budějovice, Czech Republic.

Jiří Macas (J)

Biology Centre, Czech Academy of Sciences, Branišovská 31, České Budějovice, Czech Republic.

Classifications MeSH