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RhizoBindingSites, a Database of DNA-Binding Motifs in Nitrogen-Fixing Bacteria Inferred Using a Footprint Discovery Approach

Basic knowledge of transcriptional regulation is needed to understand the mechanisms governing biological processes, i.e., nitrogen fixation by Rhizobiales bacteria in symbiosis with leguminous plants. The RhizoBindingSites database is a computer-assisted framework providing motif-gene-associated co...

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Autores principales: Taboada-Castro, Hermenegildo, Castro-Mondragón, Jaime Abraham, Aguilar-Vera, Alejandro, Hernández-Álvarez, Alfredo José, van Helden, Jacques, Encarnación-Guevara, Sergio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7674921/
https://www.ncbi.nlm.nih.gov/pubmed/33250866
http://dx.doi.org/10.3389/fmicb.2020.567471
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author Taboada-Castro, Hermenegildo
Castro-Mondragón, Jaime Abraham
Aguilar-Vera, Alejandro
Hernández-Álvarez, Alfredo José
van Helden, Jacques
Encarnación-Guevara, Sergio
author_facet Taboada-Castro, Hermenegildo
Castro-Mondragón, Jaime Abraham
Aguilar-Vera, Alejandro
Hernández-Álvarez, Alfredo José
van Helden, Jacques
Encarnación-Guevara, Sergio
author_sort Taboada-Castro, Hermenegildo
collection PubMed
description Basic knowledge of transcriptional regulation is needed to understand the mechanisms governing biological processes, i.e., nitrogen fixation by Rhizobiales bacteria in symbiosis with leguminous plants. The RhizoBindingSites database is a computer-assisted framework providing motif-gene-associated conserved sequences potentially implicated in transcriptional regulation in nine symbiotic species. A dyad analysis algorithm was used to deduce motifs in the upstream regulatory region of orthologous genes, and only motifs also located in the gene seed promoter with a p-value of 1e-4 were accepted. A genomic scan analysis of the upstoream sequences with these motifs was performed. These predicted binding sites were categorized according to low, medium and high homology between the matrix and the upstream regulatory sequence. On average, 62.7% of the genes had a motif, accounting for 80.44% of the genes per genome, with 19613 matrices (a matrix is a representation of a motif). The RhizoBindingSites database provides motif and gene information, motif conservation in the order Rhizobiales, matrices, motif logos, regulatory networks constructed from theoretical or experimental data, a criterion for selecting motifs and a guide for users. The RhizoBindingSites database is freely available online at rhizobindingsites.ccg.unam.mx.
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spelling pubmed-76749212020-11-26 RhizoBindingSites, a Database of DNA-Binding Motifs in Nitrogen-Fixing Bacteria Inferred Using a Footprint Discovery Approach Taboada-Castro, Hermenegildo Castro-Mondragón, Jaime Abraham Aguilar-Vera, Alejandro Hernández-Álvarez, Alfredo José van Helden, Jacques Encarnación-Guevara, Sergio Front Microbiol Microbiology Basic knowledge of transcriptional regulation is needed to understand the mechanisms governing biological processes, i.e., nitrogen fixation by Rhizobiales bacteria in symbiosis with leguminous plants. The RhizoBindingSites database is a computer-assisted framework providing motif-gene-associated conserved sequences potentially implicated in transcriptional regulation in nine symbiotic species. A dyad analysis algorithm was used to deduce motifs in the upstream regulatory region of orthologous genes, and only motifs also located in the gene seed promoter with a p-value of 1e-4 were accepted. A genomic scan analysis of the upstoream sequences with these motifs was performed. These predicted binding sites were categorized according to low, medium and high homology between the matrix and the upstream regulatory sequence. On average, 62.7% of the genes had a motif, accounting for 80.44% of the genes per genome, with 19613 matrices (a matrix is a representation of a motif). The RhizoBindingSites database provides motif and gene information, motif conservation in the order Rhizobiales, matrices, motif logos, regulatory networks constructed from theoretical or experimental data, a criterion for selecting motifs and a guide for users. The RhizoBindingSites database is freely available online at rhizobindingsites.ccg.unam.mx. Frontiers Media S.A. 2020-11-05 /pmc/articles/PMC7674921/ /pubmed/33250866 http://dx.doi.org/10.3389/fmicb.2020.567471 Text en Copyright © 2020 Taboada-Castro, Castro-Mondragón, Aguilar-Vera, Hernández-Álvarez, van Helden and Encarnación-Guevara. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Microbiology
Taboada-Castro, Hermenegildo
Castro-Mondragón, Jaime Abraham
Aguilar-Vera, Alejandro
Hernández-Álvarez, Alfredo José
van Helden, Jacques
Encarnación-Guevara, Sergio
RhizoBindingSites, a Database of DNA-Binding Motifs in Nitrogen-Fixing Bacteria Inferred Using a Footprint Discovery Approach
title RhizoBindingSites, a Database of DNA-Binding Motifs in Nitrogen-Fixing Bacteria Inferred Using a Footprint Discovery Approach
title_full RhizoBindingSites, a Database of DNA-Binding Motifs in Nitrogen-Fixing Bacteria Inferred Using a Footprint Discovery Approach
title_fullStr RhizoBindingSites, a Database of DNA-Binding Motifs in Nitrogen-Fixing Bacteria Inferred Using a Footprint Discovery Approach
title_full_unstemmed RhizoBindingSites, a Database of DNA-Binding Motifs in Nitrogen-Fixing Bacteria Inferred Using a Footprint Discovery Approach
title_short RhizoBindingSites, a Database of DNA-Binding Motifs in Nitrogen-Fixing Bacteria Inferred Using a Footprint Discovery Approach
title_sort rhizobindingsites, a database of dna-binding motifs in nitrogen-fixing bacteria inferred using a footprint discovery approach
topic Microbiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7674921/
https://www.ncbi.nlm.nih.gov/pubmed/33250866
http://dx.doi.org/10.3389/fmicb.2020.567471
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