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SSS-test: a novel test for detecting positive selection on RNA secondary structure

BACKGROUND: Long non-coding RNAs (lncRNAs) play an important role in regulating gene expression and are thus important for determining phenotypes. Most attempts to measure selection in lncRNAs have focused on the primary sequence. The majority of small RNAs and at least some parts of lncRNAs must fo...

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Autores principales: Walter Costa, Maria Beatriz, Höner zu Siederdissen, Christian, Dunjić, Marko, Stadler, Peter F., Nowick, Katja
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6429701/
https://www.ncbi.nlm.nih.gov/pubmed/30898084
http://dx.doi.org/10.1186/s12859-019-2711-y
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author Walter Costa, Maria Beatriz
Höner zu Siederdissen, Christian
Dunjić, Marko
Stadler, Peter F.
Nowick, Katja
author_facet Walter Costa, Maria Beatriz
Höner zu Siederdissen, Christian
Dunjić, Marko
Stadler, Peter F.
Nowick, Katja
author_sort Walter Costa, Maria Beatriz
collection PubMed
description BACKGROUND: Long non-coding RNAs (lncRNAs) play an important role in regulating gene expression and are thus important for determining phenotypes. Most attempts to measure selection in lncRNAs have focused on the primary sequence. The majority of small RNAs and at least some parts of lncRNAs must fold into specific structures to perform their biological function. Comprehensive assessments of selection acting on RNAs therefore must also encompass structure. Selection pressures acting on the structure of non-coding genes can be detected within multiple sequence alignments. Approaches of this type, however, have so far focused on negative selection. Thus, a computational method for identifying ncRNAs under positive selection is needed. RESULTS: We introduce the SSS-test (test for Selection on Secondary Structure) to identify positive selection and thus adaptive evolution. Benchmarks with biological as well as synthetic controls yield coherent signals for both negative and positive selection, demonstrating the functionality of the test. A survey of a lncRNA collection comprising 15,443 families resulted in 110 candidates that appear to be under positive selection in human. In 26 lncRNAs that have been associated with psychiatric disorders we identified local structures that have signs of positive selection in the human lineage. CONCLUSIONS: It is feasible to assay positive selection acting on RNA secondary structures on a genome-wide scale. The detection of human-specific positive selection in lncRNAs associated with cognitive disorder provides a set of candidate genes for further experimental testing and may provide insights into the evolution of cognitive abilities in humans. AVAILABILITY: The SSS-test and related software is available at: https://github.com/waltercostamb/SSS-test. The databases used in this work are available at: http://www.bioinf.uni-leipzig.de/Software/SSS-test/. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12859-019-2711-y) contains supplementary material, which is available to authorized users.
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spelling pubmed-64297012019-04-04 SSS-test: a novel test for detecting positive selection on RNA secondary structure Walter Costa, Maria Beatriz Höner zu Siederdissen, Christian Dunjić, Marko Stadler, Peter F. Nowick, Katja BMC Bioinformatics Research Article BACKGROUND: Long non-coding RNAs (lncRNAs) play an important role in regulating gene expression and are thus important for determining phenotypes. Most attempts to measure selection in lncRNAs have focused on the primary sequence. The majority of small RNAs and at least some parts of lncRNAs must fold into specific structures to perform their biological function. Comprehensive assessments of selection acting on RNAs therefore must also encompass structure. Selection pressures acting on the structure of non-coding genes can be detected within multiple sequence alignments. Approaches of this type, however, have so far focused on negative selection. Thus, a computational method for identifying ncRNAs under positive selection is needed. RESULTS: We introduce the SSS-test (test for Selection on Secondary Structure) to identify positive selection and thus adaptive evolution. Benchmarks with biological as well as synthetic controls yield coherent signals for both negative and positive selection, demonstrating the functionality of the test. A survey of a lncRNA collection comprising 15,443 families resulted in 110 candidates that appear to be under positive selection in human. In 26 lncRNAs that have been associated with psychiatric disorders we identified local structures that have signs of positive selection in the human lineage. CONCLUSIONS: It is feasible to assay positive selection acting on RNA secondary structures on a genome-wide scale. The detection of human-specific positive selection in lncRNAs associated with cognitive disorder provides a set of candidate genes for further experimental testing and may provide insights into the evolution of cognitive abilities in humans. AVAILABILITY: The SSS-test and related software is available at: https://github.com/waltercostamb/SSS-test. The databases used in this work are available at: http://www.bioinf.uni-leipzig.de/Software/SSS-test/. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12859-019-2711-y) contains supplementary material, which is available to authorized users. BioMed Central 2019-03-21 /pmc/articles/PMC6429701/ /pubmed/30898084 http://dx.doi.org/10.1186/s12859-019-2711-y Text en © The Author(s) 2019 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver(http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Walter Costa, Maria Beatriz
Höner zu Siederdissen, Christian
Dunjić, Marko
Stadler, Peter F.
Nowick, Katja
SSS-test: a novel test for detecting positive selection on RNA secondary structure
title SSS-test: a novel test for detecting positive selection on RNA secondary structure
title_full SSS-test: a novel test for detecting positive selection on RNA secondary structure
title_fullStr SSS-test: a novel test for detecting positive selection on RNA secondary structure
title_full_unstemmed SSS-test: a novel test for detecting positive selection on RNA secondary structure
title_short SSS-test: a novel test for detecting positive selection on RNA secondary structure
title_sort sss-test: a novel test for detecting positive selection on rna secondary structure
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6429701/
https://www.ncbi.nlm.nih.gov/pubmed/30898084
http://dx.doi.org/10.1186/s12859-019-2711-y
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