Range expansions across landscapes with quenched noise

Author:

Nuñez Jimmy Gonzalez1,Paulose Jayson2ORCID,Möbius Wolfram34,Beller Daniel A.1ORCID

Affiliation:

1. Department of Physics and Astronomy, Johns Hopkins University, Baltimore, MD 21218

2. Department of Physics, Institute for Fundamental Science, University of Oregon, Eugene, OR 97403

3. Living Systems Institute, Faculty of Health and Life Sciences, University of Exeter, Exeter EX4 4QH, United Kingdom

4. Physics and Astronomy, Faculty of Environment, Science and Economy, University of Exeter, Exeter EX4 4QL, United Kingdom

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.

Funder

NSF | Directorate for STEM Education

NSF | EDU | Division of Equity for Excellence in STEM

Hellman Family Foundation

UKRI | Biotechnology and Biological Sciences Research Council

Publisher

Proceedings of the National Academy of Sciences

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