Article (Périodiques scientifiques)
Inferring the shallow phylogeny of true salamanders (Salamandra) by multiple phylogenomic approaches.
Rodriguez, Ariel; Burgon, James D.; Lyra, Mariana et al.
2017In Molecular Phylogenetics and Evolution, 115, p. 16-26
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Mots-clés :
Amphibia; Caudata; Concatenation; Mitochondrial genomes; Phylogenomics; RADseq; RNAseq; Salamandridae; Species tree; Transcriptomes
Résumé :
[en] The rise of high-throughput sequencing techniques provides the unprecedented opportunity to analyse controversial phylogenetic relationships in great depth, but also introduces a risk of being misinterpreted by high node support values influenced by unevenly distributed missing data or unrealistic model assumptions. Here, we use three largely independent phylogenomic data sets to reconstruct the controversial phylogeny of true salamanders of the genus Salamandra, a group of amphibians providing an intriguing model to study the evolution of aposematism and viviparity. For all six species of the genus Salamandra, and two outgroup species from its sister genus Lyciasalamandra, we used RNA sequencing (RNAseq) and restriction site associated DNA sequencing (RADseq) to obtain data for: (1) 3070 nuclear protein-coding genes from RNAseq; (2) 7440 loci obtained by RADseq; and (3) full mitochondrial genomes. The RNAseq and RADseq data sets retrieved fully congruent topologies when each of them was analyzed in a concatenation approach, with high support for: (1) S. infraimmaculata being sister group to all other Salamandra species; (2) S. algira being sister to S. salamandra; (3) these two species being the sister group to a clade containing S. atra, S. corsica and S. lanzai; and (4) the alpine species S. atra and S. lanzai being sister taxa. The phylogeny inferred from the mitochondrial genome sequences differed from these results, most notably by strongly supporting a clade containing S. atra and S. corsica as sister taxa. A different placement of S. corsica was also retrieved when analysing the RNAseq and RADseq data under species tree approaches. Closer examination of gene trees derived from RNAseq revealed that only a low number of them supported each of the alternative placements of S. atra. Furthermore, gene jackknife support for the S. atra - S. lanzai node stabilized only with very large concatenated data sets. The phylogeny of true salamanders thus provides a compelling example of how classical node support metrics such as bootstrap and Bayesian posterior probability can provide high confidence values in a phylogenomic topology even if the phylogenetic signal for some nodes is spurious, highlighting the importance of complementary approaches such as gene jackknifing. Yet, the general congruence among the topologies recovered from the RNAseq and RADseq data sets increases our confidence in the results, and validates the use of phylotranscriptomic approaches for reconstructing shallow relationships among closely related taxa. We hypothesize that the evolution of Salamandra has been characterized by episodes of introgressive hybridization, which would explain the difficulties of fully reconstructing their evolutionary relationships.
Disciplines :
Zoologie
Biochimie, biophysique & biologie moléculaire
Génétique & processus génétiques
Auteur, co-auteur :
Rodriguez, Ariel
Burgon, James D.
Lyra, Mariana
Irisarri, Iker
Baurain, Denis  ;  Université de Liège > Département des sciences de la vie > Phylogénomique des eucaryotes
Blaustein, Leon
Gocmen, Bayram
Kunzel, Sven
Mable, Barbara K.
Nolte, Arne W.
Veith, Michael
Steinfartz, Sebastian
Elmer, Kathryn R.
Philippe, Herve
Vences, Miguel
Plus d'auteurs (5 en +) Voir moins
Langue du document :
Anglais
Titre :
Inferring the shallow phylogeny of true salamanders (Salamandra) by multiple phylogenomic approaches.
Date de publication/diffusion :
2017
Titre du périodique :
Molecular Phylogenetics and Evolution
ISSN :
1055-7903
eISSN :
1095-9513
Maison d'édition :
Elsevier, Atlanta, Etats-Unis - Californie
Volume/Tome :
115
Pagination :
16-26
Peer reviewed :
Peer reviewed vérifié par ORBi
Commentaire :
Copyright (c) 2017. Published by Elsevier Inc.
Disponible sur ORBi :
depuis le 07 août 2017

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