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Efficient homology‐based annotation of transposable elements using minimizers
PREMISE: Transposable 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 g...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10439823/ https://www.ncbi.nlm.nih.gov/pubmed/37601317 http://dx.doi.org/10.1002/aps3.11520 |
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author | Gonzalez‐García, Laura Natalia Lozano‐Arce, Daniela Londoño, Juan Pablo Guyot, Romain Duitama, Jorge |
author_facet | Gonzalez‐García, Laura Natalia Lozano‐Arce, Daniela Londoño, Juan Pablo Guyot, Romain Duitama, Jorge |
author_sort | Gonzalez‐García, Laura Natalia |
collection | PubMed |
description | PREMISE: Transposable 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 RESULTS: We 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. CONCLUSIONS: NGSEP allows rapid analysis of TEs, especially in very large and TE‐rich plant genomes. |
format | Online Article Text |
id | pubmed-10439823 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-104398232023-08-20 Efficient homology‐based annotation of transposable elements using minimizers Gonzalez‐García, Laura Natalia Lozano‐Arce, Daniela Londoño, Juan Pablo Guyot, Romain Duitama, Jorge Appl Plant Sci Software Note PREMISE: Transposable 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 RESULTS: We 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. CONCLUSIONS: NGSEP allows rapid analysis of TEs, especially in very large and TE‐rich plant genomes. John Wiley and Sons Inc. 2023-05-11 /pmc/articles/PMC10439823/ /pubmed/37601317 http://dx.doi.org/10.1002/aps3.11520 Text en © 2023 The Authors. Applications in Plant Sciences published by Wiley Periodicals LLC on behalf of Botanical Society of America. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Software Note Gonzalez‐García, Laura Natalia Lozano‐Arce, Daniela Londoño, Juan Pablo Guyot, Romain Duitama, Jorge Efficient homology‐based annotation of transposable elements using minimizers |
title | Efficient homology‐based annotation of transposable elements using minimizers |
title_full | Efficient homology‐based annotation of transposable elements using minimizers |
title_fullStr | Efficient homology‐based annotation of transposable elements using minimizers |
title_full_unstemmed | Efficient homology‐based annotation of transposable elements using minimizers |
title_short | Efficient homology‐based annotation of transposable elements using minimizers |
title_sort | efficient homology‐based annotation of transposable elements using minimizers |
topic | Software Note |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10439823/ https://www.ncbi.nlm.nih.gov/pubmed/37601317 http://dx.doi.org/10.1002/aps3.11520 |
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