2022
DOI: 10.1371/journal.pgen.1010391
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Population genetic models for the spatial spread of adaptive variants: A review in light of SARS-CoV-2 evolution

Abstract: Theoretical population genetics has long studied the arrival and geographic spread of adaptive variants through the analysis of mathematical models of dispersal and natural selection. These models take on a renewed interest in the context of the COVID-19 pandemic, especially given the consequences that novel adaptive variants have had on the course of the pandemic as they have spread through global populations. Here, we review theoretical models for the spatial spread of adaptive variants and identify areas to… Show more

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Cited by 10 publications
(15 citation statements)
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“…This means that positively selected loci, and genomic regions in linkage disequilibrium with them, are expected to have more descendant lineages which can explore space and travel faster than neutral ones. This result is similar to Fisher’s travelling wave model, where the velocity of spread is proportional to the square root of the selection coefficient (Fisher 1937; Muktupavela et al 2021; Steiner and Novembre 2022). For the purpose of inference, we often assume that the coalescent branching process and geographic location are independent (although this is not the case, see Wilkins and Wakeley 2002).…”
Section: Discussionsupporting
confidence: 80%
“…This means that positively selected loci, and genomic regions in linkage disequilibrium with them, are expected to have more descendant lineages which can explore space and travel faster than neutral ones. This result is similar to Fisher’s travelling wave model, where the velocity of spread is proportional to the square root of the selection coefficient (Fisher 1937; Muktupavela et al 2021; Steiner and Novembre 2022). For the purpose of inference, we often assume that the coalescent branching process and geographic location are independent (although this is not the case, see Wilkins and Wakeley 2002).…”
Section: Discussionsupporting
confidence: 80%
“…The effective σ parameter output by represents a measure of gene flow across space over generations. Inferring this critical evolutionary parameter for a species allows modeling of a number of affected phenomena, for example, the spread of an adaptive allele in a population [11], or, for measuring the strength of selection against hybrids in a genomic cline [12]. Further, we may learn about the evolution of dispersal by comparing σ between taxa, or by regressing σ with environmental variables.…”
Section: Discussionmentioning
confidence: 99%
“…Deme structure may also arise from correlations in the number of secondary infections over a series of hosts (i.e. a series of high numbers of secondary infections in a transmission chain, or conversely low numbers of secondary infections in a transmission chain) [57]. This may arise, for instance, if individuals in a transmission chain have similar behavior, due to geographical proximity, or similar value systems on risk aversion.…”
Section: Discussionmentioning
confidence: 99%