EconPapers    
Economics at your fingertips  
 

Survival probabilities at spherical frontiers

Maxim O. Lavrentovich and David R. Nelson

Theoretical Population Biology, 2015, vol. 102, issue C, 26-39

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.

Keywords: Survival probability; Genetic drift; Range expansions; Avascular tumor evolution; Selection (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0040580915000210
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:thpobi:v:102:y:2015:i:c:p:26-39

DOI: 10.1016/j.tpb.2015.03.002

Access Statistics for this article

Theoretical Population Biology is currently edited by Jeremy Van Cleve

More articles in Theoretical Population Biology from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:thpobi:v:102:y:2015:i:c:p:26-39