Introgression between highly divergent fungal sister species.
Trichaptum
ABBA-BABA
demographic modelling
experimental system
ghost introgression
population genomics
Journal
Journal of evolutionary biology
ISSN: 1420-9101
Titre abrégé: J Evol Biol
Pays: Switzerland
ID NLM: 8809954
Informations de publication
Date de publication:
08 2023
08 2023
Historique:
revised:
15
05
2023
received:
24
11
2022
accepted:
17
05
2023
medline:
10
8
2023
pubmed:
26
6
2023
entrez:
26
6
2023
Statut:
ppublish
Résumé
To understand how species evolve and adapt to changing environments, it is important to study gene flow and introgression due to their influence on speciation and radiation events. Here, we apply a novel experimental system for investigating these mechanisms using natural populations. The system is based on two fungal sister species with morphological and ecological similarities occurring in overlapping habitats. We examined introgression between these species by conducting whole genome sequencing of individuals from populations in North America and Europe. We assessed genome-wide nucleotide divergence and performed crossing experiments to study reproductive barriers. We further used ABBA-BABA statistics together with a network analysis to investigate introgression, and conducted demographic modelling to gain insight into divergence times and introgression events. The results revealed that the species are highly divergent and incompatible in vitro. Despite this, small regions of introgression were scattered throughout the genomes and one introgression event likely involves a ghost population (extant or extinct). This study demonstrates that introgression can be found among divergent species and that population histories can be studied without collections of all the populations involved. Moreover, the experimental system is shown to be a useful tool for research on reproductive isolation in natural populations.
Banques de données
Dryad
['10.5061/dryad.fxpnvx0t4', '10.5061/dryad.xpnvx0kkz']
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
1133-1149Informations de copyright
© 2023 The Authors. Journal of Evolutionary Biology published by John Wiley & Sons Ltd on behalf of European Society for Evolutionary Biology.
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