Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Anselmetti, Yoann, Duchemin, Wandrille, Tannier, Eric, Chauve, Cedric, Bérard, Sèverine
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
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
_version_ 1783323487661719552
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
work_keys_str_mv AT anselmettiyoann phylogeneticsignalfromrearrangementsin18anophelesspeciesbyjointscaffoldingextantandancestralgenomes
AT ducheminwandrille phylogeneticsignalfromrearrangementsin18anophelesspeciesbyjointscaffoldingextantandancestralgenomes
AT tanniereric phylogeneticsignalfromrearrangementsin18anophelesspeciesbyjointscaffoldingextantandancestralgenomes
AT chauvecedric phylogeneticsignalfromrearrangementsin18anophelesspeciesbyjointscaffoldingextantandancestralgenomes
AT berardseverine phylogeneticsignalfromrearrangementsin18anophelesspeciesbyjointscaffoldingextantandancestralgenomes