Boundary effects cause false signals of range expansions in population genomic data.

central-marginal hypothesis non Wright-Fisher non-equilibrium populations spatially explicit time difference of arrival

Journal

Molecular biology and evolution
ISSN: 1537-1719
Titre abrégé: Mol Biol Evol
Pays: United States
ID NLM: 8501455

Informations de publication

Date de publication:
14 May 2024
Historique:
received: 06 12 2023
revised: 25 04 2024
accepted: 01 05 2024
medline: 15 5 2024
pubmed: 15 5 2024
entrez: 14 5 2024
Statut: aheadofprint

Résumé

Studying range expansions (REs) is central for understanding genetic variation through space and time as well as for identifying refugia and biological invasions. Range expansions are characterized by serial founder events causing clines of decreasing diversity away from the center of origin and asymmetries in the two-dimensional allele frequency spectra. These asymmetries, summarized by the directionality index (ψ), are sensitive to REs and persist for longer than clines in genetic diversity. In continuous and finite meta-populations, genetic drift tends to be stronger at the edges of the species distribution in equilibrium populations and populations undergoing REs alike. Such boundary effects (BEs) are expected to affect geographic patterns in genetic diversity and ψ. Here we demonstrate that BEs cause high false positive rates in equilibrium meta-populations when testing for REs. In the simulations, the absolute value of ψ (|ψ|) in equilibrium data sets was proportional to the fixation index (FST). By fitting signatures of REs as a function of ɛ=|ψ|/FST and geographic clines in ψ, strong evidence for REs could be detected in data from a recent rapid invasion of the cane toad, Rhinella marina, in Australia, but not in 28 previously published empirical data sets from Australian scincid lizards that were significant for the standard RE tests. Thus, while clinal variation in ψ is still the most sensitive statistic to REs, to detect true signatures of REs in natural populations, its magnitude needs to be considered in relation to the overall levels of genetic structuring in the data.

Identifiants

pubmed: 38743590
pii: 7672917
doi: 10.1093/molbev/msae091
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© The Author(s) 2024. Published by Oxford University Press on behalf of Society for Molecular Biology and Evolution.

Auteurs

Petri Kemppainen (P)

Area of Ecology and Biodiversity, School of Biological Sciences, the University of Hong Kong, Hong Kong, SAR, People's Republic of China.
School of Biological Sciences and Swire Institute of Marine Science, Faculty of Science, the University of Hong Kong, Hong Kong, SAR, People's Republic of China.

Rhiannon Schembri (R)

School of Natural Sciences, Faculty of Science and Engineering, Macquarie University, Sydney, Australia.
Division of Ecology and Evolution, Research School of Biology, Australian National University, Canberra, Australia.

Paolo Momigliano (P)

Area of Ecology and Biodiversity, School of Biological Sciences, the University of Hong Kong, Hong Kong, SAR, People's Republic of China.
School of Biological Sciences and Swire Institute of Marine Science, Faculty of Science, the University of Hong Kong, Hong Kong, SAR, People's Republic of China.

Classifications MeSH