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Refining borders of genome-rearrangements including repetitions

BACKGROUND: DNA rearrangement events have been widely studied in comparative genomic for many years. The importance of these events resides not only in the study about relatedness among different species, but also to determine the mechanisms behind evolution. Although there are many methods to ident...

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Autores principales: Arjona-Medina, JA, Trelles, O
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5088515/
https://www.ncbi.nlm.nih.gov/pubmed/27801292
http://dx.doi.org/10.1186/s12864-016-3069-4
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author Arjona-Medina, JA
Trelles, O
author_facet Arjona-Medina, JA
Trelles, O
author_sort Arjona-Medina, JA
collection PubMed
description BACKGROUND: DNA rearrangement events have been widely studied in comparative genomic for many years. The importance of these events resides not only in the study about relatedness among different species, but also to determine the mechanisms behind evolution. Although there are many methods to identify genome-rearrangements (GR), the refinement of their borders has become a huge challenge. Until now no accepted method exists to achieve accurate fine-tuning: i.e. the notion of breakpoint (BP) is still an open issue, and despite repeated regions are vital to understand evolution they are not taken into account in most of the GR detection and refinement methods. METHODS AND RESULTS: We propose a method to refine the borders of GR including repeated regions. Instead of removing these repetitions to facilitate computation, we take advantage of them using a consensus alignment sequence of the repeated region in between two blocks. Using the concept of identity vectors for Synteny Blocks (SB) and repetitions, a Finite State Machine is designed to detect transition points in the difference between such vectors. The method does not force the BP to be a region or a point but depends on the alignment transitions within the SBs and repetitions. CONCLUSION: The accurate definition of the borders of SB and repeated genomic regions and consequently the detection of BP might help to understand the evolutionary model of species. In this manuscript we present a new proposal for such a refinement. Features of the SBs borders and BPs are different and fit with what is expected. SBs with more diversity in annotations and BPs short and richer in DNA replication and stress response, which are strongly linked with rearrangements. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12864-016-3069-4) contains supplementary material, which is available to authorized users.
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spelling pubmed-50885152016-11-07 Refining borders of genome-rearrangements including repetitions Arjona-Medina, JA Trelles, O BMC Genomics Research BACKGROUND: DNA rearrangement events have been widely studied in comparative genomic for many years. The importance of these events resides not only in the study about relatedness among different species, but also to determine the mechanisms behind evolution. Although there are many methods to identify genome-rearrangements (GR), the refinement of their borders has become a huge challenge. Until now no accepted method exists to achieve accurate fine-tuning: i.e. the notion of breakpoint (BP) is still an open issue, and despite repeated regions are vital to understand evolution they are not taken into account in most of the GR detection and refinement methods. METHODS AND RESULTS: We propose a method to refine the borders of GR including repeated regions. Instead of removing these repetitions to facilitate computation, we take advantage of them using a consensus alignment sequence of the repeated region in between two blocks. Using the concept of identity vectors for Synteny Blocks (SB) and repetitions, a Finite State Machine is designed to detect transition points in the difference between such vectors. The method does not force the BP to be a region or a point but depends on the alignment transitions within the SBs and repetitions. CONCLUSION: The accurate definition of the borders of SB and repeated genomic regions and consequently the detection of BP might help to understand the evolutionary model of species. In this manuscript we present a new proposal for such a refinement. Features of the SBs borders and BPs are different and fit with what is expected. SBs with more diversity in annotations and BPs short and richer in DNA replication and stress response, which are strongly linked with rearrangements. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12864-016-3069-4) contains supplementary material, which is available to authorized users. BioMed Central 2016-10-25 /pmc/articles/PMC5088515/ /pubmed/27801292 http://dx.doi.org/10.1186/s12864-016-3069-4 Text en © The Author(s) 2016 Open Access This 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
Arjona-Medina, JA
Trelles, O
Refining borders of genome-rearrangements including repetitions
title Refining borders of genome-rearrangements including repetitions
title_full Refining borders of genome-rearrangements including repetitions
title_fullStr Refining borders of genome-rearrangements including repetitions
title_full_unstemmed Refining borders of genome-rearrangements including repetitions
title_short Refining borders of genome-rearrangements including repetitions
title_sort refining borders of genome-rearrangements including repetitions
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5088515/
https://www.ncbi.nlm.nih.gov/pubmed/27801292
http://dx.doi.org/10.1186/s12864-016-3069-4
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