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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...

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Autores principales: Noureen, Mehwish, Tada, Ipputa, Kawashima, Takeshi, Arita, Masanori
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
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.
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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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