Range expansions across landscapes with quenched noise

When biological populations expand into new territory, the evolutionary outcomes can be strongly influenced by genetic drift, the random fluctuations in allele frequencies. Meanwhile, spatial variability in the environment can also significantly influence the competition between subpopulations vying for space. Little is known about the interplay of these intrinsic and extrinsic sources of noise in population dynamics: When does environmental heterogeneity dominate over genetic drift or vice versa, and what distinguishes their population genetics signatures? Here, in the context of neutral evolution, we examine the interplay between a population's intrinsic, demographic noise and an extrinsic, quenched random noise provided by a heterogeneous environment. Using a multispecies Eden model, we simulate a population expanding over a landscape with random variations in local growth rates and measure how this variability affects genealogical tree structure, and thus genetic diversity. We find that, for strong heterogeneity, the genetic makeup of the expansion front is to a great extent predetermined by the set of fastest paths through the environment. The landscape-dependent statistics of these optimal paths then supersede those of the population's intrinsic noise as the main determinant of evolutionary dynamics. Remarkably, the statistics for coalescence of genealogical lineages, derived from those deterministic paths, strongly resemble the statistics emerging from demographic noise alone in uniform landscapes. This cautions interpretations of coalescence statistics and raises new challenges for inferring past population dynamics.

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Publication Details

Journal
Proceedings of the National Academy of Sciences
Published
2024-08-13
DOI
https://doi.org/10.1073/pnas.2411487121
Citations
6
Primary Topic
Stochastic processes and statistical mechanics
Type
article
Field-Weighted Citation Impact
5.34

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article

Range expansions across landscapes with quenched noise

Wolfram Möbius, Jayson Paulose, Daniel A. Beller, Jimmy Gonzalez Nuñez
6 citations
Proceedings of the National Academy of Sciences
Stochastic processes and statistical mechanics
5.34
article

Range expansions across landscapes with quenched noise

Wolfram Möbius, Jayson Paulose, Daniel A. Beller, Jimmy Gonzalez Nuñez
article en
6 citations

Abstract

When biological populations expand into new territory, the evolutionary outcomes can be strongly influenced by genetic drift, the random fluctuations in allele frequencies. Meanwhile, spatial variability in the environment can also significantly influence the competition between subpopulations vying for space. Little is known about the interplay of these intrinsic and extrinsic sources of noise in population dynamics: When does environmental heterogeneity dominate over genetic drift or vice versa, and what distinguishes their population genetics signatures? Here, in the context of neutral evolution, we examine the interplay between a population's intrinsic, demographic noise and an extrinsic, quenched random noise provided by a heterogeneous environment. Using a multispecies Eden model, we simulate a population expanding over a landscape with random variations in local growth rates and measure how this variability affects genealogical tree structure, and thus genetic diversity. We find that, for strong heterogeneity, the genetic makeup of the expansion front is to a great extent predetermined by the set of fastest paths through the environment. The landscape-dependent statistics of these optimal paths then supersede those of the population's intrinsic noise as the main determinant of evolutionary dynamics. Remarkably, the statistics for coalescence of genealogical lineages, derived from those deterministic paths, strongly resemble the statistics emerging from demographic noise alone in uniform landscapes. This cautions interpretations of coalescence statistics and raises new challenges for inferring past population dynamics.

Proceedings of the National Academy of SciencesVol. 121(34)
Johns Hopkins University (US), University of Oregon (US), University of Exeter (GB)
Hellman Family Foundation, Directorate for STEM Education, Biotechnology and Biological Sciences Research Council, Division of Equity for Excellence in STEM
Life in Land
Openalex Percentile: Top 3%
Stochastic processes and statistical mechanics
5.34
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