Deep ancestral introgression shapes evolutionary history of dragonflies and damselflies - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue Systematic Biology Année : 2022

Deep ancestral introgression shapes evolutionary history of dragonflies and damselflies

Anton Suvorov
M Stanley Fujimoto
  • Fonction : Auteur
Paul Bodily
  • Fonction : Auteur
Mark Clement
  • Fonction : Auteur
Keith Crandall
  • Fonction : Auteur
Michael Whiting
  • Fonction : Auteur
Daniel Schrider
Seth Bybee
  • Fonction : Auteur

Résumé

Abstract Introgression is an important biological process affecting at least 10% of the extant species in the animal kingdom. Introgression significantly impacts inference of phylogenetic species relationships where a strictly binary tree model cannot adequately explain reticulate net-like species relationships. Here we use phylogenomic approaches to understand patterns of introgression along the evolutionary history of a unique, non-model insect system: dragonflies and damselflies (Odonata). We demonstrate that introgression is a pervasive evolutionary force across various taxonomic levels within Odonata. In particular, we show that the morphologically “intermediate” species of Anisozygoptera (one of the three primary suborders within Odonata besides Zygoptera and Anisoptera), which retain phenotypic characteristics of the other two suborders, experienced high levels of introgression likely coming from zygopteran genomes. Additionally, we find evidence for multiple cases of deep inter-superfamilial ancestral introgression.
Fichier principal
Vignette du fichier
syab063.pdf (1.83 Mo) Télécharger le fichier
Origine : Publication financée par une institution

Dates et versions

hal-03321815 , version 1 (31-05-2022)

Licence

Paternité - Pas d'utilisation commerciale

Identifiants

Citer

Anton Suvorov, Celine Scornavacca, M Stanley Fujimoto, Paul Bodily, Mark Clement, et al.. Deep ancestral introgression shapes evolutionary history of dragonflies and damselflies. Systematic Biology, 2022, 71 (3), pp.526-546. ⟨10.1093/sysbio/syab063⟩. ⟨hal-03321815⟩
40 Consultations
49 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More