Cargando…

Identification of 15 candidate structured noncoding RNA motifs in fungi by comparative genomics

BACKGROUND: With the development of rapid and inexpensive DNA sequencing, the genome sequences of more than 100 fungal species have been made available. This dataset provides an excellent resource for comparative genomics analyses, which can be used to discover genetic elements, including noncoding...

Descripción completa

Detalles Bibliográficos
Autores principales: Li, Sanshu, Breaker, Ronald R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5640933/
https://www.ncbi.nlm.nih.gov/pubmed/29029611
http://dx.doi.org/10.1186/s12864-017-4171-y
_version_ 1783271122760892416
author Li, Sanshu
Breaker, Ronald R.
author_facet Li, Sanshu
Breaker, Ronald R.
author_sort Li, Sanshu
collection PubMed
description BACKGROUND: With the development of rapid and inexpensive DNA sequencing, the genome sequences of more than 100 fungal species have been made available. This dataset provides an excellent resource for comparative genomics analyses, which can be used to discover genetic elements, including noncoding RNAs (ncRNAs). Bioinformatics tools similar to those used to uncover novel ncRNAs in bacteria, likewise, should be useful for searching fungal genomic sequences, and the relative ease of genetic experiments with some model fungal species could facilitate experimental validation studies. RESULTS: We have adapted a bioinformatics pipeline for discovering bacterial ncRNAs to systematically analyze many fungal genomes. This comparative genomics pipeline integrates information on conserved RNA sequence and structural features with alternative splicing information to reveal fungal RNA motifs that are candidate regulatory domains, or that might have other possible functions. A total of 15 prominent classes of structured ncRNA candidates were identified, including variant HDV self-cleaving ribozyme representatives, atypical snoRNA candidates, and possible structured antisense RNA motifs. Candidate regulatory motifs were also found associated with genes for ribosomal proteins, S-adenosylmethionine decarboxylase (SDC), amidase, and HexA protein involved in Woronin body formation. We experimentally confirm that the variant HDV ribozymes undergo rapid self-cleavage, and we demonstrate that the SDC RNA motif reduces the expression of SAM decarboxylase by translational repression. Furthermore, we provide evidence that several other motifs discovered in this study are likely to be functional ncRNA elements. CONCLUSIONS: Systematic screening of fungal genomes using a computational discovery pipeline has revealed the existence of a variety of novel structured ncRNAs. Genome contexts and similarities to known ncRNA motifs provide strong evidence for the biological and biochemical functions of some newly found ncRNA motifs. Although initial examinations of several motifs provide evidence for their likely functions, other motifs will require more in-depth analysis to reveal their functions. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12864-017-4171-y) contains supplementary material, which is available to authorized users.
format Online
Article
Text
id pubmed-5640933
institution National Center for Biotechnology Information
language English
publishDate 2017
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-56409332017-10-18 Identification of 15 candidate structured noncoding RNA motifs in fungi by comparative genomics Li, Sanshu Breaker, Ronald R. BMC Genomics Research Article BACKGROUND: With the development of rapid and inexpensive DNA sequencing, the genome sequences of more than 100 fungal species have been made available. This dataset provides an excellent resource for comparative genomics analyses, which can be used to discover genetic elements, including noncoding RNAs (ncRNAs). Bioinformatics tools similar to those used to uncover novel ncRNAs in bacteria, likewise, should be useful for searching fungal genomic sequences, and the relative ease of genetic experiments with some model fungal species could facilitate experimental validation studies. RESULTS: We have adapted a bioinformatics pipeline for discovering bacterial ncRNAs to systematically analyze many fungal genomes. This comparative genomics pipeline integrates information on conserved RNA sequence and structural features with alternative splicing information to reveal fungal RNA motifs that are candidate regulatory domains, or that might have other possible functions. A total of 15 prominent classes of structured ncRNA candidates were identified, including variant HDV self-cleaving ribozyme representatives, atypical snoRNA candidates, and possible structured antisense RNA motifs. Candidate regulatory motifs were also found associated with genes for ribosomal proteins, S-adenosylmethionine decarboxylase (SDC), amidase, and HexA protein involved in Woronin body formation. We experimentally confirm that the variant HDV ribozymes undergo rapid self-cleavage, and we demonstrate that the SDC RNA motif reduces the expression of SAM decarboxylase by translational repression. Furthermore, we provide evidence that several other motifs discovered in this study are likely to be functional ncRNA elements. CONCLUSIONS: Systematic screening of fungal genomes using a computational discovery pipeline has revealed the existence of a variety of novel structured ncRNAs. Genome contexts and similarities to known ncRNA motifs provide strong evidence for the biological and biochemical functions of some newly found ncRNA motifs. Although initial examinations of several motifs provide evidence for their likely functions, other motifs will require more in-depth analysis to reveal their functions. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12864-017-4171-y) contains supplementary material, which is available to authorized users. BioMed Central 2017-10-13 /pmc/articles/PMC5640933/ /pubmed/29029611 http://dx.doi.org/10.1186/s12864-017-4171-y Text en © The Author(s). 2017 Open AccessThis 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
Li, Sanshu
Breaker, Ronald R.
Identification of 15 candidate structured noncoding RNA motifs in fungi by comparative genomics
title Identification of 15 candidate structured noncoding RNA motifs in fungi by comparative genomics
title_full Identification of 15 candidate structured noncoding RNA motifs in fungi by comparative genomics
title_fullStr Identification of 15 candidate structured noncoding RNA motifs in fungi by comparative genomics
title_full_unstemmed Identification of 15 candidate structured noncoding RNA motifs in fungi by comparative genomics
title_short Identification of 15 candidate structured noncoding RNA motifs in fungi by comparative genomics
title_sort identification of 15 candidate structured noncoding rna motifs in fungi by comparative genomics
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5640933/
https://www.ncbi.nlm.nih.gov/pubmed/29029611
http://dx.doi.org/10.1186/s12864-017-4171-y
work_keys_str_mv AT lisanshu identificationof15candidatestructurednoncodingrnamotifsinfungibycomparativegenomics
AT breakerronaldr identificationof15candidatestructurednoncodingrnamotifsinfungibycomparativegenomics