Evolutionary dynamics of mutants that modify population structure

Author:

Tkadlec Josef12ORCID,Kaveh Kamran3,Chatterjee Krishnendu4,Nowak Martin A.15

Affiliation:

1. Department of Mathematics, Harvard University, Cambridge, MA 02138, USA

2. Computer Science Institute, Charles University, Prague, Czech Republic

3. Department of Applied Mathematics, University of Washington, Seattle, WA 98195, USA

4. Institute of Science and Technology Austria, Am Campus 1, 3400 Klosterneuburg, Austria

5. Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA 02138, USA

Abstract

Natural selection is usually studied between mutants that differ in reproductive rate, but are subject to the same population structure. Here we explore how natural selection acts on mutants that have the same reproductive rate, but different population structures. In our framework, population structure is given by a graph that specifies where offspring can disperse. The invading mutant disperses offspring on a different graph than the resident wild-type. We find that more densely connected dispersal graphs tend to increase the invader’s fixation probability, but the exact relationship between structure and fixation probability is subtle. We present three main results. First, we prove that if both invader and resident are on complete dispersal graphs, then removing a single edge in the invader’s dispersal graph reduces its fixation probability. Second, we show that for certain island models higher invader’s connectivity increases its fixation probability, but the magnitude of the effect depends on the exact layout of the connections. Third, we show that for lattices the effect of different connectivity is comparable to that of different fitness: for large population size, the invader’s fixation probability is either constant or exponentially small, depending on whether it is more or less connected than the resident.

Funder

H2020 European Research Council

Univerzita Karlova v Praze

Publisher

The Royal Society

Subject

Biomedical Engineering,Biochemistry,Biomaterials,Bioengineering,Biophysics,Biotechnology

Reference73 articles.

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2. Evolutionary Dynamics

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4. Moran P. 1962 The statistical processes of evolutionary theory, 1st edn. Oxford, UK: Clarendon.

5. Introduction to Theoretical Population Genetics

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