title: Survival probabilities at spherical frontiers.
abstract: Motivated by tumor growth and spatial population genetics, we study the interplay between evolutionary and spatial dynamics at the surfaces of three-dimensional, spherical range expansions. We consider range expansion radii that grow with an arbitrary power-law in time: R(t) = R0(1 + t/t(∗))Θ, where Θ is a growth exponent, R0 is the initial radius, and t(∗) is a characteristic time for the growth, to be affected by the inflating geometry. We vary the parameters t(∗) and Θ to capture a variety of possible growth regimes. Guided by recent results for two-dimensional inflating range expansions, we identify key dimensionless parameters that describe the survival probability of a mutant cell with a small selective advantage arising at the population frontier. Using analytical techniques, we calculate this probability for arbitrary Θ. We compare our results to simulations of linearly inflating expansions (Θ = 1 spherical Fisher-Kolmogorov-Petrovsky-Piscunov waves) and treadmilling populations (Θ = 0, with cells in the interior removed by apoptosis or a similar process). We find that mutations at linearly inflating fronts have survival probabilities enhanced by factors of 100 or more relative to mutations at treadmilling population frontiers. We also discuss the special properties of "marginally inflating" (Θ = 1/2) expansions.
authors.affiliation: Lyman Laboratory of Physics, Harvard University, Cambridge, MA 02138, USA. Electronic address: lavrentm@gmail.com.
authors.forename: Maxim O
authors.initials: MO
authors.lastname: Lavrentovich
authors.affiliation: Lyman Laboratory of Physics, Harvard University, Cambridge, MA 02138, USA.
authors.forename: David R
authors.initials: DR
authors.lastname: Nelson
mesh_terms: D005075:Biological Evolution; D049109:Cell Proliferation / Q000235:genetics; D002470:Cell Survival / Q000235:genetics; D005828:Genetics, Population; D006801:Humans; D008957:Models, Genetic; D009154:Mutation / Q000502:physiology*
keywords: Avascular tumor evolution; Genetic drift; Range expansions; Selection; Survival probability