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Phylogenetic signal from rearrangements in 18 Anopheles species by joint scaffolding extant and ancestral genomes
BACKGROUND: Genomes rearrangements carry valuable information for phylogenetic inference or the elucidation of molecular mechanisms of adaptation. However, the detection of genome rearrangements is often hampered by current deficiencies in data and methods: Genomes obtained from short sequence reads...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5954271/ https://www.ncbi.nlm.nih.gov/pubmed/29764366 http://dx.doi.org/10.1186/s12864-018-4466-7 |
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author | Anselmetti, Yoann Duchemin, Wandrille Tannier, Eric Chauve, Cedric Bérard, Sèverine |
author_facet | Anselmetti, Yoann Duchemin, Wandrille Tannier, Eric Chauve, Cedric Bérard, Sèverine |
author_sort | Anselmetti, Yoann |
collection | PubMed |
description | BACKGROUND: Genomes rearrangements carry valuable information for phylogenetic inference or the elucidation of molecular mechanisms of adaptation. However, the detection of genome rearrangements is often hampered by current deficiencies in data and methods: Genomes obtained from short sequence reads have generally very fragmented assemblies, and comparing multiple gene orders generally leads to computationally intractable algorithmic questions. RESULTS: We present a computational method, ADseq, which, by combining ancestral gene order reconstruction, comparative scaffolding and de novo scaffolding methods, overcomes these two caveats. ADseq provides simultaneously improved assemblies and ancestral genomes, with statistical supports on all local features. Compared to previous comparative methods, it runs in polynomial time, it samples solutions in a probabilistic space, and it can handle a significantly larger gene complement from the considered extant genomes, with complex histories including gene duplications and losses. We use ADseq to provide improved assemblies and a genome history made of duplications, losses, gene translocations, rearrangements, of 18 complete Anopheles genomes, including several important malaria vectors. We also provide additional support for a differentiated mode of evolution of the sex chromosome and of the autosomes in these mosquito genomes. CONCLUSIONS: We demonstrate the method’s ability to improve extant assemblies accurately through a procedure simulating realistic assembly fragmentation. We study a debated issue regarding the phylogeny of the Gambiae complex group of Anopheles genomes in the light of the evolution of chromosomal rearrangements, suggesting that the phylogenetic signal they carry can differ from the phylogenetic signal carried by gene sequences, more prone to introgression. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12864-018-4466-7) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5954271 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-59542712018-05-21 Phylogenetic signal from rearrangements in 18 Anopheles species by joint scaffolding extant and ancestral genomes Anselmetti, Yoann Duchemin, Wandrille Tannier, Eric Chauve, Cedric Bérard, Sèverine BMC Genomics Research BACKGROUND: Genomes rearrangements carry valuable information for phylogenetic inference or the elucidation of molecular mechanisms of adaptation. However, the detection of genome rearrangements is often hampered by current deficiencies in data and methods: Genomes obtained from short sequence reads have generally very fragmented assemblies, and comparing multiple gene orders generally leads to computationally intractable algorithmic questions. RESULTS: We present a computational method, ADseq, which, by combining ancestral gene order reconstruction, comparative scaffolding and de novo scaffolding methods, overcomes these two caveats. ADseq provides simultaneously improved assemblies and ancestral genomes, with statistical supports on all local features. Compared to previous comparative methods, it runs in polynomial time, it samples solutions in a probabilistic space, and it can handle a significantly larger gene complement from the considered extant genomes, with complex histories including gene duplications and losses. We use ADseq to provide improved assemblies and a genome history made of duplications, losses, gene translocations, rearrangements, of 18 complete Anopheles genomes, including several important malaria vectors. We also provide additional support for a differentiated mode of evolution of the sex chromosome and of the autosomes in these mosquito genomes. CONCLUSIONS: We demonstrate the method’s ability to improve extant assemblies accurately through a procedure simulating realistic assembly fragmentation. We study a debated issue regarding the phylogeny of the Gambiae complex group of Anopheles genomes in the light of the evolution of chromosomal rearrangements, suggesting that the phylogenetic signal they carry can differ from the phylogenetic signal carried by gene sequences, more prone to introgression. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12864-018-4466-7) contains supplementary material, which is available to authorized users. BioMed Central 2018-05-09 /pmc/articles/PMC5954271/ /pubmed/29764366 http://dx.doi.org/10.1186/s12864-018-4466-7 Text en © The Author(s) 2018 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 Anselmetti, Yoann Duchemin, Wandrille Tannier, Eric Chauve, Cedric Bérard, Sèverine Phylogenetic signal from rearrangements in 18 Anopheles species by joint scaffolding extant and ancestral genomes |
title | Phylogenetic signal from rearrangements in 18 Anopheles species by joint scaffolding extant and ancestral genomes |
title_full | Phylogenetic signal from rearrangements in 18 Anopheles species by joint scaffolding extant and ancestral genomes |
title_fullStr | Phylogenetic signal from rearrangements in 18 Anopheles species by joint scaffolding extant and ancestral genomes |
title_full_unstemmed | Phylogenetic signal from rearrangements in 18 Anopheles species by joint scaffolding extant and ancestral genomes |
title_short | Phylogenetic signal from rearrangements in 18 Anopheles species by joint scaffolding extant and ancestral genomes |
title_sort | phylogenetic signal from rearrangements in 18 anopheles species by joint scaffolding extant and ancestral genomes |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5954271/ https://www.ncbi.nlm.nih.gov/pubmed/29764366 http://dx.doi.org/10.1186/s12864-018-4466-7 |
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