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RepeatFiller newly identifies megabases of aligning repetitive sequences and improves annotations of conserved non-exonic elements
BACKGROUND: Transposons and other repetitive sequences make up a large part of complex genomes. Repetitive sequences can be co-opted into a variety of functions and thus provide a source for evolutionary novelty. However, comprehensively detecting ancestral repeats that align between species is diff...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6862929/ https://www.ncbi.nlm.nih.gov/pubmed/31742600 http://dx.doi.org/10.1093/gigascience/giz132 |
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author | Osipova, Ekaterina Hecker, Nikolai Hiller, Michael |
author_facet | Osipova, Ekaterina Hecker, Nikolai Hiller, Michael |
author_sort | Osipova, Ekaterina |
collection | PubMed |
description | BACKGROUND: Transposons and other repetitive sequences make up a large part of complex genomes. Repetitive sequences can be co-opted into a variety of functions and thus provide a source for evolutionary novelty. However, comprehensively detecting ancestral repeats that align between species is difficult because considering all repeat-overlapping seeds in alignment methods that rely on the seed-and-extend heuristic results in prohibitively high runtimes. RESULTS: Here, we show that ignoring repeat-overlapping alignment seeds when aligning entire genomes misses numerous alignments between repetitive elements. We present a tool, RepeatFiller, that improves genome alignments by incorporating previously undetected local alignments between repetitive sequences. By applying RepeatFiller to genome alignments between human and 20 other representative mammals, we uncover between 22 and 84 Mb of previously undetected alignments that mostly overlap transposable elements. We further show that the increased alignment coverage improves the annotation of conserved non-exonic elements, both by discovering numerous novel transposon-derived elements that evolve under constraint and by removing thousands of elements that are not under constraint in placental mammals. CONCLUSIONS: RepeatFiller contributes to comprehensively aligning repetitive genomic regions, which facilitates studying transposon co-option and genome evolution. Source code: https://github.com/hillerlab/GenomeAlignmentTools |
format | Online Article Text |
id | pubmed-6862929 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-68629292019-11-25 RepeatFiller newly identifies megabases of aligning repetitive sequences and improves annotations of conserved non-exonic elements Osipova, Ekaterina Hecker, Nikolai Hiller, Michael Gigascience Technical Note BACKGROUND: Transposons and other repetitive sequences make up a large part of complex genomes. Repetitive sequences can be co-opted into a variety of functions and thus provide a source for evolutionary novelty. However, comprehensively detecting ancestral repeats that align between species is difficult because considering all repeat-overlapping seeds in alignment methods that rely on the seed-and-extend heuristic results in prohibitively high runtimes. RESULTS: Here, we show that ignoring repeat-overlapping alignment seeds when aligning entire genomes misses numerous alignments between repetitive elements. We present a tool, RepeatFiller, that improves genome alignments by incorporating previously undetected local alignments between repetitive sequences. By applying RepeatFiller to genome alignments between human and 20 other representative mammals, we uncover between 22 and 84 Mb of previously undetected alignments that mostly overlap transposable elements. We further show that the increased alignment coverage improves the annotation of conserved non-exonic elements, both by discovering numerous novel transposon-derived elements that evolve under constraint and by removing thousands of elements that are not under constraint in placental mammals. CONCLUSIONS: RepeatFiller contributes to comprehensively aligning repetitive genomic regions, which facilitates studying transposon co-option and genome evolution. Source code: https://github.com/hillerlab/GenomeAlignmentTools Oxford University Press 2019-11-19 /pmc/articles/PMC6862929/ /pubmed/31742600 http://dx.doi.org/10.1093/gigascience/giz132 Text en © The Author(s) 2019. Published by Oxford University Press. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Technical Note Osipova, Ekaterina Hecker, Nikolai Hiller, Michael RepeatFiller newly identifies megabases of aligning repetitive sequences and improves annotations of conserved non-exonic elements |
title | RepeatFiller newly identifies megabases of aligning repetitive sequences and improves annotations of conserved non-exonic elements |
title_full | RepeatFiller newly identifies megabases of aligning repetitive sequences and improves annotations of conserved non-exonic elements |
title_fullStr | RepeatFiller newly identifies megabases of aligning repetitive sequences and improves annotations of conserved non-exonic elements |
title_full_unstemmed | RepeatFiller newly identifies megabases of aligning repetitive sequences and improves annotations of conserved non-exonic elements |
title_short | RepeatFiller newly identifies megabases of aligning repetitive sequences and improves annotations of conserved non-exonic elements |
title_sort | repeatfiller newly identifies megabases of aligning repetitive sequences and improves annotations of conserved non-exonic elements |
topic | Technical Note |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6862929/ https://www.ncbi.nlm.nih.gov/pubmed/31742600 http://dx.doi.org/10.1093/gigascience/giz132 |
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