TY - JOUR
T1 - Effects of population growth on the success of invading mutants
AU - Ashcroft, Peter
AU - Smith, Cassandra E.R.
AU - Garrod, Matthew
AU - Galla, Tobias
PY - 2017/5/7
Y1 - 2017/5/7
N2 - Understanding if and how mutants reach fixation in populations is an important question in evolutionary biology. We study the impact of population growth has on the success of mutants. To systematically understand the effects of growth we decouple competition from reproduction; competition follows a birth–death process and is governed by an evolutionary game, while growth is determined by an externally controlled branching rate. In stochastic simulations we find non-monotonic behaviour of the fixation probability of mutants as the speed of growth is varied; the right amount of growth can lead to a higher success rate. These results are observed in both coordination and coexistence game scenarios, and we find that the ‘one-third law’ for coordination games can break down in the presence of growth. We also propose a simplified description in terms of stochastic differential equations to approximate the individual-based model.
AB - Understanding if and how mutants reach fixation in populations is an important question in evolutionary biology. We study the impact of population growth has on the success of mutants. To systematically understand the effects of growth we decouple competition from reproduction; competition follows a birth–death process and is governed by an evolutionary game, while growth is determined by an externally controlled branching rate. In stochastic simulations we find non-monotonic behaviour of the fixation probability of mutants as the speed of growth is varied; the right amount of growth can lead to a higher success rate. These results are observed in both coordination and coexistence game scenarios, and we find that the ‘one-third law’ for coordination games can break down in the presence of growth. We also propose a simplified description in terms of stochastic differential equations to approximate the individual-based model.
UR - https://www.scopus.com/pages/publications/85016266331
U2 - 10.1016/j.jtbi.2017.03.014
DO - 10.1016/j.jtbi.2017.03.014
M3 - Article
SN - 0022-5193
VL - 420
SP - 232
EP - 240
JO - Journal of Theoretical Biology
JF - Journal of Theoretical Biology
ER -