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Phylogenetic Reconstruction Based on Synteny Block and Gene Adjacencies
Gene order can be used as an informative character to reconstruct phylogenetic relationships between species independently from the local information present in gene/protein sequences. PhyChro is a reconstruction method based on chromosomal rearrangements, applicable to a wide range of eukaryotic ge...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7475045/ https://www.ncbi.nlm.nih.gov/pubmed/32384156 http://dx.doi.org/10.1093/molbev/msaa114 |
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author | Drillon, Guénola Champeimont, Raphaël Oteri, Francesco Fischer, Gilles Carbone, Alessandra |
author_facet | Drillon, Guénola Champeimont, Raphaël Oteri, Francesco Fischer, Gilles Carbone, Alessandra |
author_sort | Drillon, Guénola |
collection | PubMed |
description | Gene order can be used as an informative character to reconstruct phylogenetic relationships between species independently from the local information present in gene/protein sequences. PhyChro is a reconstruction method based on chromosomal rearrangements, applicable to a wide range of eukaryotic genomes with different gene contents and levels of synteny conservation. For each synteny breakpoint issued from pairwise genome comparisons, the algorithm defines two disjoint sets of genomes, named partial splits, respectively, supporting the two block adjacencies defining the breakpoint. Considering all partial splits issued from all pairwise comparisons, a distance between two genomes is computed from the number of partial splits separating them. Tree reconstruction is achieved through a bottom-up approach by iteratively grouping sister genomes minimizing genome distances. PhyChro estimates branch lengths based on the number of synteny breakpoints and provides confidence scores for the branches. PhyChro performance is evaluated on two data sets of 13 vertebrates and 21 yeast genomes by using up to 130,000 and 179,000 breakpoints, respectively, a scale of genomic markers that has been out of reach until now. PhyChro reconstructs very accurate tree topologies even at known problematic branching positions. Its robustness has been benchmarked for different synteny block reconstruction methods. On simulated data PhyChro reconstructs phylogenies perfectly in almost all cases, and shows the highest accuracy compared with other existing tools. PhyChro is very fast, reconstructing the vertebrate and yeast phylogenies in <15 min. |
format | Online Article Text |
id | pubmed-7475045 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-74750452020-09-10 Phylogenetic Reconstruction Based on Synteny Block and Gene Adjacencies Drillon, Guénola Champeimont, Raphaël Oteri, Francesco Fischer, Gilles Carbone, Alessandra Mol Biol Evol Methods Gene order can be used as an informative character to reconstruct phylogenetic relationships between species independently from the local information present in gene/protein sequences. PhyChro is a reconstruction method based on chromosomal rearrangements, applicable to a wide range of eukaryotic genomes with different gene contents and levels of synteny conservation. For each synteny breakpoint issued from pairwise genome comparisons, the algorithm defines two disjoint sets of genomes, named partial splits, respectively, supporting the two block adjacencies defining the breakpoint. Considering all partial splits issued from all pairwise comparisons, a distance between two genomes is computed from the number of partial splits separating them. Tree reconstruction is achieved through a bottom-up approach by iteratively grouping sister genomes minimizing genome distances. PhyChro estimates branch lengths based on the number of synteny breakpoints and provides confidence scores for the branches. PhyChro performance is evaluated on two data sets of 13 vertebrates and 21 yeast genomes by using up to 130,000 and 179,000 breakpoints, respectively, a scale of genomic markers that has been out of reach until now. PhyChro reconstructs very accurate tree topologies even at known problematic branching positions. Its robustness has been benchmarked for different synteny block reconstruction methods. On simulated data PhyChro reconstructs phylogenies perfectly in almost all cases, and shows the highest accuracy compared with other existing tools. PhyChro is very fast, reconstructing the vertebrate and yeast phylogenies in <15 min. Oxford University Press 2020-05-08 /pmc/articles/PMC7475045/ /pubmed/32384156 http://dx.doi.org/10.1093/molbev/msaa114 Text en © The Author(s) 2020. Published by Oxford University Press on behalf of the Society for Molecular Biology and Evolution. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Methods Drillon, Guénola Champeimont, Raphaël Oteri, Francesco Fischer, Gilles Carbone, Alessandra Phylogenetic Reconstruction Based on Synteny Block and Gene Adjacencies |
title | Phylogenetic Reconstruction Based on Synteny Block and Gene Adjacencies |
title_full | Phylogenetic Reconstruction Based on Synteny Block and Gene Adjacencies |
title_fullStr | Phylogenetic Reconstruction Based on Synteny Block and Gene Adjacencies |
title_full_unstemmed | Phylogenetic Reconstruction Based on Synteny Block and Gene Adjacencies |
title_short | Phylogenetic Reconstruction Based on Synteny Block and Gene Adjacencies |
title_sort | phylogenetic reconstruction based on synteny block and gene adjacencies |
topic | Methods |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7475045/ https://www.ncbi.nlm.nih.gov/pubmed/32384156 http://dx.doi.org/10.1093/molbev/msaa114 |
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