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Detalle de: Introgression between highly divergent fungal sister species

Title Introgression between highly divergent fungal sister species
Abstract

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. Abstract We studied population histories with demographic modelling and found introgression between highly divergent fungal sister species, involving a ghost population.

Apa Reference Kinneberg, V.B., Lü, D.S., Peris, D., Ravinet, M. & Skrede, I. (2023). Introgression between highly divergent fungal sister species. Journal of Evolutionary Biology, 36(8), 1133-1149. 10.1111/jeb.14190
Doi 10.1111/jeb.14190
Publication Date 1 Aug 2023
Publication Type Article
Researcher David Peris Navarro
Ontology Genomics, Genome Sequencing, Population genomics, Phylogenetic Analysis, Network Biology, Population dynamics
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