Efficient homology-based annotation of transposable elements using minimizers

被引:3
|
作者
Gonzalez-Garcia, Laura Natalia [1 ,2 ]
Lozano-Arce, Daniela [1 ]
Londono, Juan Pablo [3 ]
Guyot, Romain [2 ]
Duitama, Jorge [1 ]
机构
[1] Univ Andes, Syst & Comp Engn Dept, Cra 1 Este 19A-40, Bogota 111711, Colombia
[2] Univ Montpellier, Inst Rech Dev, UMR DIADE, CIRAD, F-34394 Montpellier, France
[3] Univ Andes, Dept Biol Sci, Bogota, Colombia
来源
APPLICATIONS IN PLANT SCIENCES | 2023年 / 11卷 / 04期
关键词
bioinformatics; genomics; software; transposable elements; GENOME SIZE; IDENTIFICATION; DNA;
D O I
10.1002/aps3.11520
中图分类号
Q94 [植物学];
学科分类号
071001 ;
摘要
PremiseTransposable elements (TEs) make up more than half of the genomes of complex plant species and can modulate the expression of neighboring genes, producing significant variability of agronomically relevant traits. The availability of long-read sequencing technologies allows the building of genome assemblies for plant species with large and complex genomes. Unfortunately, TE annotation currently represents a bottleneck in the annotation of genome assemblies. Methods and ResultsWe present a new functionality of the Next-Generation Sequencing Experience Platform (NGSEP) to perform efficient homology-based TE annotation. Sequences in a reference library are treated as long reads and mapped to an input genome assembly. A hierarchical annotation is then assigned by homology using the annotation of the reference library. We tested the performance of our algorithm on genome assemblies of different plant species, including Arabidopsis thaliana, Oryza sativa, Coffea humblotiana, and Triticum aestivum (bread wheat). Our algorithm outperforms traditional homology-based annotation tools in speed by a factor of three to >20, reducing the annotation time of the T. aestivum genome from months to hours, and recovering up to 80% of TEs annotated with RepeatMasker with a precision of up to 0.95. ConclusionsNGSEP allows rapid analysis of TEs, especially in very large and TE-rich plant genomes.
引用
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页数:11
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