DANTE_LTR

DANTE_LTR identifies and annotates complete long terminal repeat (LTR) retrotransposons in plant genomes to enable domain-based detection and phylogenetic classification of these elements.


Key Features:

  • Domain-based Annotation: Uses DANTE to detect conserved protein domains within genome sequences for LTR retrotransposon identification.
  • Structural Feature Detection: Parses DANTE domain outputs and recognizes structural features such as terminal repeats to annotate complete element sequences in adjacent regions.
  • Phylogenetic Classification: Classifies LTR retrotransposons into phylogenetic lineages using domain sequence information, enabling resolution beyond superfamily-level assignment.
  • Benchmarking and Accuracy: Tested across 93 plant genomes and reports detection of a higher number of intact LTR retrotransposons compared with several established pipelines.

Scientific Applications:

  • Plant genome annotation: Annotation of complete LTR retrotransposon sequences within assembled plant genomes.
  • Evolutionary biology: Reconstruction of phylogenetic relationships among LTR retrotransposon lineages using domain sequences.
  • Functional genomics: Analysis of LTR retrotransposon impact on genome structure and gene regulation.
  • Comparative genomics: Cross-species comparison of LTR retrotransposon composition and lineage distribution.

Methodology:

Detect conserved protein domains with DANTE, input domain hits into the DANTE_LTR pipeline to recognize structural features (including terminal repeats) and annotate complete elements, and classify elements into phylogenetic lineages based on domain sequences; benchmarking performed across 93 plant genomes versus other pipelines.

Details

License:
GPL-3.0
Maturity:
Mature
Added:
11/17/2024
Last Updated:
11/17/2024

Operations

Data Inputs & Outputs

Publications

Novák P, Hoštáková N, Neumann P, Macas J. DANTE and DANTE_LTR: lineage-centric annotation pipelines for long terminal repeat retrotransposons in plant genomes. NAR Genomics and Bioinformatics. 2024;6(3). doi:10.1093/nargab/lqae113. PMID:39211332. PMCID:PMC11358816.

Funding: - ELIXIR-CZ Research Infrastructure: LM2023055

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Related Tools

dante_annotation
Relation: uses