Cargando…

Approximation algorithm for rearrangement distances considering repeated genes and intergenic regions

The rearrangement distance is a method to compare genomes of different species. Such distance is the number of rearrangement events necessary to transform one genome into another. Two commonly studied events are the transposition, which exchanges two consecutive blocks of the genome, and the reversa...

Descripción completa

Detalles Bibliográficos
Autores principales: Siqueira, Gabriel, Alexandrino, Alexsandro Oliveira, Oliveira, Andre Rodrigues, Dias, Zanoni
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8513232/
https://www.ncbi.nlm.nih.gov/pubmed/34645469
http://dx.doi.org/10.1186/s13015-021-00200-w
_version_ 1784583171315073024
author Siqueira, Gabriel
Alexandrino, Alexsandro Oliveira
Oliveira, Andre Rodrigues
Dias, Zanoni
author_facet Siqueira, Gabriel
Alexandrino, Alexsandro Oliveira
Oliveira, Andre Rodrigues
Dias, Zanoni
author_sort Siqueira, Gabriel
collection PubMed
description The rearrangement distance is a method to compare genomes of different species. Such distance is the number of rearrangement events necessary to transform one genome into another. Two commonly studied events are the transposition, which exchanges two consecutive blocks of the genome, and the reversal, which reverts a block of the genome. When dealing with such problems, seminal works represented genomes as sequences of genes without repetition. More realistic models started to consider gene repetition or the presence of intergenic regions, sequences of nucleotides between genes and in the extremities of the genome. This work explores the transposition and reversal events applied in a genome representation considering both gene repetition and intergenic regions. We define two problems called Minimum Common Intergenic String Partition and Reverse Minimum Common Intergenic String Partition. Using a relation with these two problems, we show a [Formula: see text] -approximation for the Intergenic Transposition Distance, the Intergenic Reversal Distance, and the Intergenic Reversal and Transposition Distance problems, where k is the maximum number of copies of a gene in the genomes. Our practical experiments on simulated genomes show that the use of partitions improves the estimates for the distances.
format Online
Article
Text
id pubmed-8513232
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-85132322021-10-20 Approximation algorithm for rearrangement distances considering repeated genes and intergenic regions Siqueira, Gabriel Alexandrino, Alexsandro Oliveira Oliveira, Andre Rodrigues Dias, Zanoni Algorithms Mol Biol Research The rearrangement distance is a method to compare genomes of different species. Such distance is the number of rearrangement events necessary to transform one genome into another. Two commonly studied events are the transposition, which exchanges two consecutive blocks of the genome, and the reversal, which reverts a block of the genome. When dealing with such problems, seminal works represented genomes as sequences of genes without repetition. More realistic models started to consider gene repetition or the presence of intergenic regions, sequences of nucleotides between genes and in the extremities of the genome. This work explores the transposition and reversal events applied in a genome representation considering both gene repetition and intergenic regions. We define two problems called Minimum Common Intergenic String Partition and Reverse Minimum Common Intergenic String Partition. Using a relation with these two problems, we show a [Formula: see text] -approximation for the Intergenic Transposition Distance, the Intergenic Reversal Distance, and the Intergenic Reversal and Transposition Distance problems, where k is the maximum number of copies of a gene in the genomes. Our practical experiments on simulated genomes show that the use of partitions improves the estimates for the distances. BioMed Central 2021-10-13 /pmc/articles/PMC8513232/ /pubmed/34645469 http://dx.doi.org/10.1186/s13015-021-00200-w Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Siqueira, Gabriel
Alexandrino, Alexsandro Oliveira
Oliveira, Andre Rodrigues
Dias, Zanoni
Approximation algorithm for rearrangement distances considering repeated genes and intergenic regions
title Approximation algorithm for rearrangement distances considering repeated genes and intergenic regions
title_full Approximation algorithm for rearrangement distances considering repeated genes and intergenic regions
title_fullStr Approximation algorithm for rearrangement distances considering repeated genes and intergenic regions
title_full_unstemmed Approximation algorithm for rearrangement distances considering repeated genes and intergenic regions
title_short Approximation algorithm for rearrangement distances considering repeated genes and intergenic regions
title_sort approximation algorithm for rearrangement distances considering repeated genes and intergenic regions
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8513232/
https://www.ncbi.nlm.nih.gov/pubmed/34645469
http://dx.doi.org/10.1186/s13015-021-00200-w
work_keys_str_mv AT siqueiragabriel approximationalgorithmforrearrangementdistancesconsideringrepeatedgenesandintergenicregions
AT alexandrinoalexsandrooliveira approximationalgorithmforrearrangementdistancesconsideringrepeatedgenesandintergenicregions
AT oliveiraandrerodrigues approximationalgorithmforrearrangementdistancesconsideringrepeatedgenesandintergenicregions
AT diaszanoni approximationalgorithmforrearrangementdistancesconsideringrepeatedgenesandintergenicregions