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Rearrangement analysis of multiple bacterial genomes
BACKGROUND: Genomes are subjected to rearrangements that change the orientation and ordering of genes during evolution. The most common rearrangements that occur in uni-chromosomal genomes are inversions (or reversals) to adapt to the changing environment. Since genome rearrangements are rarer than...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6933940/ https://www.ncbi.nlm.nih.gov/pubmed/31881830 http://dx.doi.org/10.1186/s12859-019-3293-4 |
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author | Noureen, Mehwish Tada, Ipputa Kawashima, Takeshi Arita, Masanori |
author_facet | Noureen, Mehwish Tada, Ipputa Kawashima, Takeshi Arita, Masanori |
author_sort | Noureen, Mehwish |
collection | PubMed |
description | BACKGROUND: Genomes are subjected to rearrangements that change the orientation and ordering of genes during evolution. The most common rearrangements that occur in uni-chromosomal genomes are inversions (or reversals) to adapt to the changing environment. Since genome rearrangements are rarer than point mutations, gene order with sequence data can facilitate more robust phylogenetic reconstruction. Helicobacter pylori is a good model because of its unique evolution in niche environment. RESULTS: We have developed a method to identify genome rearrangements by comparing almost-conserved genes among closely related strains. Orthologous gene clusters, rather than the gene sequences, are used to align the gene order so that comparison of large number of genomes becomes easier. Comparison of 72 Helicobacter pylori strains revealed shared as well as strain-specific reversals, some of which were found in different geographical locations. CONCLUSION: Degree of genome rearrangements increases with time. Therefore, gene orders can be used to study the evolutionary relationship among species and strains. Multiple genome comparison helps to identify the strain-specific as well as shared reversals. Identification of the time course of rearrangements can provide insights into evolutionary events. |
format | Online Article Text |
id | pubmed-6933940 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-69339402019-12-30 Rearrangement analysis of multiple bacterial genomes Noureen, Mehwish Tada, Ipputa Kawashima, Takeshi Arita, Masanori BMC Bioinformatics Research BACKGROUND: Genomes are subjected to rearrangements that change the orientation and ordering of genes during evolution. The most common rearrangements that occur in uni-chromosomal genomes are inversions (or reversals) to adapt to the changing environment. Since genome rearrangements are rarer than point mutations, gene order with sequence data can facilitate more robust phylogenetic reconstruction. Helicobacter pylori is a good model because of its unique evolution in niche environment. RESULTS: We have developed a method to identify genome rearrangements by comparing almost-conserved genes among closely related strains. Orthologous gene clusters, rather than the gene sequences, are used to align the gene order so that comparison of large number of genomes becomes easier. Comparison of 72 Helicobacter pylori strains revealed shared as well as strain-specific reversals, some of which were found in different geographical locations. CONCLUSION: Degree of genome rearrangements increases with time. Therefore, gene orders can be used to study the evolutionary relationship among species and strains. Multiple genome comparison helps to identify the strain-specific as well as shared reversals. Identification of the time course of rearrangements can provide insights into evolutionary events. BioMed Central 2019-12-27 /pmc/articles/PMC6933940/ /pubmed/31881830 http://dx.doi.org/10.1186/s12859-019-3293-4 Text en © The Author(s). 2019 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 Noureen, Mehwish Tada, Ipputa Kawashima, Takeshi Arita, Masanori Rearrangement analysis of multiple bacterial genomes |
title | Rearrangement analysis of multiple bacterial genomes |
title_full | Rearrangement analysis of multiple bacterial genomes |
title_fullStr | Rearrangement analysis of multiple bacterial genomes |
title_full_unstemmed | Rearrangement analysis of multiple bacterial genomes |
title_short | Rearrangement analysis of multiple bacterial genomes |
title_sort | rearrangement analysis of multiple bacterial genomes |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6933940/ https://www.ncbi.nlm.nih.gov/pubmed/31881830 http://dx.doi.org/10.1186/s12859-019-3293-4 |
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