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DistAMo: A Web-Based Tool to Characterize DNA-Motif Distribution on Bacterial Chromosomes

Short DNA motifs are involved in a multitude of functions such as for example chromosome segregation, DNA replication or mismatch repair. Distribution of such motifs is often not random and the specific chromosomal pattern relates to the respective motif function. Computational approaches which quan...

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Autores principales: Sobetzko, Patrick, Jelonek, Lukas, Strickert, Marc, Han, Wenxia, Goesmann, Alexander, Waldminghaus, Torsten
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4786541/
https://www.ncbi.nlm.nih.gov/pubmed/27014208
http://dx.doi.org/10.3389/fmicb.2016.00283
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author Sobetzko, Patrick
Jelonek, Lukas
Strickert, Marc
Han, Wenxia
Goesmann, Alexander
Waldminghaus, Torsten
author_facet Sobetzko, Patrick
Jelonek, Lukas
Strickert, Marc
Han, Wenxia
Goesmann, Alexander
Waldminghaus, Torsten
author_sort Sobetzko, Patrick
collection PubMed
description Short DNA motifs are involved in a multitude of functions such as for example chromosome segregation, DNA replication or mismatch repair. Distribution of such motifs is often not random and the specific chromosomal pattern relates to the respective motif function. Computational approaches which quantitatively assess such chromosomal motif patterns are necessary. Here we present a new computer tool DistAMo (Distribution Analysis of DNA Motifs). The algorithm uses codon redundancy to calculate the relative abundance of short DNA motifs from single genes to entire chromosomes. Comparative genomics analyses of the GATC-motif distribution in γ-proteobacterial genomes using DistAMo revealed that (i) genes beside the replication origin are enriched in GATCs, (ii) genome-wide GATC distribution follows a distinct pattern, and (iii) genes involved in DNA replication and repair are enriched in GATCs. These features are specific for bacterial chromosomes encoding a Dam methyltransferase. The new software is available as a stand-alone or as an easy-to-use web-based server version at http://www.computational.bio.uni-giessen.de/distamo.
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spelling pubmed-47865412016-03-24 DistAMo: A Web-Based Tool to Characterize DNA-Motif Distribution on Bacterial Chromosomes Sobetzko, Patrick Jelonek, Lukas Strickert, Marc Han, Wenxia Goesmann, Alexander Waldminghaus, Torsten Front Microbiol Microbiology Short DNA motifs are involved in a multitude of functions such as for example chromosome segregation, DNA replication or mismatch repair. Distribution of such motifs is often not random and the specific chromosomal pattern relates to the respective motif function. Computational approaches which quantitatively assess such chromosomal motif patterns are necessary. Here we present a new computer tool DistAMo (Distribution Analysis of DNA Motifs). The algorithm uses codon redundancy to calculate the relative abundance of short DNA motifs from single genes to entire chromosomes. Comparative genomics analyses of the GATC-motif distribution in γ-proteobacterial genomes using DistAMo revealed that (i) genes beside the replication origin are enriched in GATCs, (ii) genome-wide GATC distribution follows a distinct pattern, and (iii) genes involved in DNA replication and repair are enriched in GATCs. These features are specific for bacterial chromosomes encoding a Dam methyltransferase. The new software is available as a stand-alone or as an easy-to-use web-based server version at http://www.computational.bio.uni-giessen.de/distamo. Frontiers Media S.A. 2016-03-11 /pmc/articles/PMC4786541/ /pubmed/27014208 http://dx.doi.org/10.3389/fmicb.2016.00283 Text en Copyright © 2016 Sobetzko, Jelonek, Strickert, Han, Goesmann and Waldminghaus. 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) or licensor 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
Sobetzko, Patrick
Jelonek, Lukas
Strickert, Marc
Han, Wenxia
Goesmann, Alexander
Waldminghaus, Torsten
DistAMo: A Web-Based Tool to Characterize DNA-Motif Distribution on Bacterial Chromosomes
title DistAMo: A Web-Based Tool to Characterize DNA-Motif Distribution on Bacterial Chromosomes
title_full DistAMo: A Web-Based Tool to Characterize DNA-Motif Distribution on Bacterial Chromosomes
title_fullStr DistAMo: A Web-Based Tool to Characterize DNA-Motif Distribution on Bacterial Chromosomes
title_full_unstemmed DistAMo: A Web-Based Tool to Characterize DNA-Motif Distribution on Bacterial Chromosomes
title_short DistAMo: A Web-Based Tool to Characterize DNA-Motif Distribution on Bacterial Chromosomes
title_sort distamo: a web-based tool to characterize dna-motif distribution on bacterial chromosomes
topic Microbiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4786541/
https://www.ncbi.nlm.nih.gov/pubmed/27014208
http://dx.doi.org/10.3389/fmicb.2016.00283
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