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Computational Discovery of Transcriptional Regulatory Modules in Fungal Ribosome Biogenesis Genes Reveals Novel Sequence and Function Patterns

Genes involved in ribosome biogenesis and assembly (RBA) are responsible for ribosome formation. In Saccharomyces cerevisiae, their transcription is regulated by two dissimilar DNA motifs. We were interested in analyzing conservation and divergence of RBA transcription regulation machinery throughou...

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Autores principales: Martyanov, Viktor, Gross, Robert H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3612091/
https://www.ncbi.nlm.nih.gov/pubmed/23555806
http://dx.doi.org/10.1371/journal.pone.0059851
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author Martyanov, Viktor
Gross, Robert H.
author_facet Martyanov, Viktor
Gross, Robert H.
author_sort Martyanov, Viktor
collection PubMed
description Genes involved in ribosome biogenesis and assembly (RBA) are responsible for ribosome formation. In Saccharomyces cerevisiae, their transcription is regulated by two dissimilar DNA motifs. We were interested in analyzing conservation and divergence of RBA transcription regulation machinery throughout fungal evolution. We have identified orthologs of S. cerevisiae RBA genes in 39 species across fungal phylogeny and searched upstream regions of these gene sets for DNA sequences significantly similar to S. cerevisiae RBA regulatory motifs. In addition to confirming known motif arrangements comprising two different motifs in a set of S. cerevisiae close relatives or two instances of the same motif (that we refer to as modules), we have also discovered novel modules in a group of fungi closely related to Neurospora crassa. Despite a single nucleotide difference between consensus sequences of RBA motifs, modules associated with S, cerevisiae group and N. crassa group displayed consistently different characteristics with respect to preferred module organization and several other module properties. For a given species, we have found a correlation between the configuration of the RBA module and significant enrichment in a set of specific Gene Ontology biological processes. We have identified several likely new candidates for a role in ribosome biogenesis in S. cerevisiae based on the combined evidence of RBA module presence in the upstream regions, functional annotation information and microarray expression profiles. We believe that this approach will be useful in terms of generating hypotheses about functional roles of genes for which only fragmentary data from a single source are available.
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spelling pubmed-36120912013-04-03 Computational Discovery of Transcriptional Regulatory Modules in Fungal Ribosome Biogenesis Genes Reveals Novel Sequence and Function Patterns Martyanov, Viktor Gross, Robert H. PLoS One Research Article Genes involved in ribosome biogenesis and assembly (RBA) are responsible for ribosome formation. In Saccharomyces cerevisiae, their transcription is regulated by two dissimilar DNA motifs. We were interested in analyzing conservation and divergence of RBA transcription regulation machinery throughout fungal evolution. We have identified orthologs of S. cerevisiae RBA genes in 39 species across fungal phylogeny and searched upstream regions of these gene sets for DNA sequences significantly similar to S. cerevisiae RBA regulatory motifs. In addition to confirming known motif arrangements comprising two different motifs in a set of S. cerevisiae close relatives or two instances of the same motif (that we refer to as modules), we have also discovered novel modules in a group of fungi closely related to Neurospora crassa. Despite a single nucleotide difference between consensus sequences of RBA motifs, modules associated with S, cerevisiae group and N. crassa group displayed consistently different characteristics with respect to preferred module organization and several other module properties. For a given species, we have found a correlation between the configuration of the RBA module and significant enrichment in a set of specific Gene Ontology biological processes. We have identified several likely new candidates for a role in ribosome biogenesis in S. cerevisiae based on the combined evidence of RBA module presence in the upstream regions, functional annotation information and microarray expression profiles. We believe that this approach will be useful in terms of generating hypotheses about functional roles of genes for which only fragmentary data from a single source are available. Public Library of Science 2013-03-29 /pmc/articles/PMC3612091/ /pubmed/23555806 http://dx.doi.org/10.1371/journal.pone.0059851 Text en © 2013 Martyanov, gross http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Martyanov, Viktor
Gross, Robert H.
Computational Discovery of Transcriptional Regulatory Modules in Fungal Ribosome Biogenesis Genes Reveals Novel Sequence and Function Patterns
title Computational Discovery of Transcriptional Regulatory Modules in Fungal Ribosome Biogenesis Genes Reveals Novel Sequence and Function Patterns
title_full Computational Discovery of Transcriptional Regulatory Modules in Fungal Ribosome Biogenesis Genes Reveals Novel Sequence and Function Patterns
title_fullStr Computational Discovery of Transcriptional Regulatory Modules in Fungal Ribosome Biogenesis Genes Reveals Novel Sequence and Function Patterns
title_full_unstemmed Computational Discovery of Transcriptional Regulatory Modules in Fungal Ribosome Biogenesis Genes Reveals Novel Sequence and Function Patterns
title_short Computational Discovery of Transcriptional Regulatory Modules in Fungal Ribosome Biogenesis Genes Reveals Novel Sequence and Function Patterns
title_sort computational discovery of transcriptional regulatory modules in fungal ribosome biogenesis genes reveals novel sequence and function patterns
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3612091/
https://www.ncbi.nlm.nih.gov/pubmed/23555806
http://dx.doi.org/10.1371/journal.pone.0059851
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