title: Accumulation of neutral mutations in growing cell colonies with competition.
abstract: Neutral mutations play an important role in many biological processes including cancer initiation and progression, the generation of drug resistance in bacterial and viral diseases as well as cancers, and the development of organs in multicellular organisms. In this paper we study how neutral mutants are accumulated in nonlinearly growing colonies of cells subject to growth constraints such as crowding or lack of resources. We investigate different types of growth control which range from "division-controlled" to "death-controlled" growth (and various mixtures of both). In division-controlled growth, the burden of handling overcrowding lies with the process of cell-divisions, the divisions slow down as the carrying capacity is approached. In death-controlled growth, it is death rate that increases to slow down expansion. We show that division-controlled growth minimizes the number of accumulated mutations, and death-controlled growth corresponds to the maximum number of mutants. We check that these results hold in both deterministic and stochastic settings. We further develop a general (deterministic) theory of neutral mutations and achieve an analytical understanding of the mutant accumulation in colonies of a given size in the absence of back-mutations. The long-term dynamics of mutants in the presence of back-mutations is also addressed. In particular, with equal forward- and back-mutation rates, if division-controlled and a death-controlled types are competing for space and nutrients, cells obeying division-controlled growth will dominate the population.
authors.affiliation: Department of Mathematics, University of California Irvine, Irvine, CA 92697, USA.
authors.forename: Ron
authors.initials: R
authors.lastname: Sorace
authors.forename: Natalia L
authors.initials: NL
authors.lastname: Komarova
mesh_terms: D000818:Animals; D002455:Cell Division; D049109:Cell Proliferation; D004847:Epithelial Cells / Q000166:cytology* / Q000378:metabolism*; D006801:Humans; D016014:Linear Models; D016015:Logistic Models; D042361:Mammary Glands, Human / Q000166:cytology; D009154:Mutation / Q000235:genetics*; D013269:Stochastic Processes