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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2016
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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. |
format | Online Article Text |
id | pubmed-4786541 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
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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