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The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Surfing during population expansions promotes genetic revolutions and structuration

Open access
Excoffier, Laurent, Ray, Nicolas·2008·Trends in Ecology & Evolution

Abstract

Recent studies have shown that low-frequency alleles can sometimes surf on the wave of advance of a population range expansion, reaching high frequencies and spreading over large areas. Using microbial populations, Hallatschek and colleagues have provided the first experimental evidence of surfing during spatial expansions. They also show that the newly colonized area should become structured into sectors of low genetic diversity separated by sharp allele frequency gradients, increasing the global genetic differentiation of the population. These experimental results can be easily reproduced in silico and they should apply to a wide variety of higher organisms. They also suggest that a single range expansion can create very complex patterns at neutral loci, mimicking adaptive processes and resembling postglacial segregation of clades from distinct refuge areas.

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Crossref · 10.1016/j.tree.2008.04.004

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Metadata

Authors
Excoffier, L., & Ray, N.
Venue
Trends in Ecology & Evolution
Publisher
Elsevier BV
Published
2008-07
Volume
23
Issue
7
Pages
347-351
ISSN
0169-5347 (ISSN-L)
OpenAlex
W1995566547
Cited by
664
References
4
FWCI
2.55
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Surfing during population expansions promotes genetic revolutions and structuration. https://app.cochat.ai/papers/10.1016/j.tree.2008.04.004
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Excoffier, L., & Ray, N. (2008). Surfing during population expansions promotes genetic revolutions and structuration. Trends in Ecology & Evolution. https://doi.org/10.1016/j.tree.2008.04.004

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.