PlantLTRdb
PlantLTRdb catalogs and annotates intact long terminal repeat retrotransposons (LTR-RTs) across plant genomes to support analysis of their classification, distribution, and genomic impacts.
Key Features:
- Extensive Data Coverage: Encompasses 150.18 Gbp across 3,079,469 pseudomolecules/scaffolds.
- Identification and Characterization: Identifies and annotates 520,194 intact LTR-RTs, including 29,462 autonomous and 490,732 nonautonomous elements, classified into Gypsy, Copia, BARE-2, TR-GAG, and unknown categories using homology-based and de novo structure-based methods.
- Functional Insights: Reports 36,236 LTR-RT–gene chimeras, 11,619 LTR-RTs within pseudo-genes, 50,026 genes located within 1 kbp of LTR-RTs, and 250,587 genes located between 1 and 10 kbp from LTR-RTs.
- Sequence similarity analyses: Supports BLAST analyses of plant LTR-RT sequences.
Scientific Applications:
- Structural variation analysis: Enables study of structural variations mediated by LTR-RT insertions in plant genomes.
- Genome organization studies: Facilitates analysis of LTR-RT contributions to genome architecture and distribution across pseudomolecules/scaffolds.
- Functional genomics: Supports investigation of LTR-RT impacts on genes, including formation of LTR-RT–gene chimeras and effects related to proximity.
- Marker development for molecular plant breeding: Aids development of LTR-RT target markers for molecular plant breeding and crop improvement strategies.
Methodology:
Integrates homology-based approaches with de novo structure-based analysis to identify and annotate autonomous and nonautonomous LTR-RTs and to perform age estimation of LTR-RT insertions.
Topics
Details
- Cost:
- Free of charge
- Tool Type:
- web application
- Operating Systems:
- Mac, Linux, Windows
- Programming Languages:
- R, Perl
- Added:
- 8/30/2023
- Last Updated:
- 8/30/2023
Operations
Data Inputs & Outputs
Chimera detection
Publications
Mokhtar MM, Alsamman AM, El Allali A. PlantLTRdb: An interactive database for 195 plant species LTR-retrotransposons. Frontiers in Plant Science. 2023;14. doi:10.3389/fpls.2023.1134627. PMID:36950350. PMCID:PMC10025401.