arXiv subjects

Maxim O. Lavrentovich

Publications and source records attributed to Maxim O. Lavrentovich.

23 records · Page 2Linked to original sources

arXiv2015

Critical Fitness Collapse in Three-Dimensional Spatial Population Genetics

If deleterious mutations near a fitness maximum in a spatially distributed population are sufficiently frequent or detrimental, the population can undergo a fitness collapse, similarly to the Muller's ratchet effect in well-mixed populations. Recent studies of one-dimensional habitats (e.g., the frontier of a two-dimensional range expansion) have shown that the onset of the fitness collapse is described by a directed percolation phase transition with its associated critical exponents. We consider population fitness collapse in three-dimensional range expansions with both inflating and fixed-size frontiers (applicable to, e.g., expanding and treadmilling spherical tumors, respectively). We find that the onset of fitness collapse in these two cases obeys different scaling laws, and that competition between species at the frontier leads to a deviation from directed percolation scaling. As in two-dimensional range expansions, inflating frontiers modify the critical behavior by causally disconnecting well-separated portions of the population.

cond-mat.stat-mech↗

arXiv2014

Asymmetric Mutualism in Two- and Three-Dimensional Range Expansions

Genetic drift at the frontiers of two-dimensional range expansions of microorganisms can frustrate local cooperation between different genetic variants, demixing the population into distinct sectors. In a biological context, mutualistic or antagonistic interactions will typically be asymmetric between variants. By taking into account both the asymmetry and the interaction strength, we show that the much weaker demixing in three dimensions allows for a mutualistic phase over a much wider range of asymmetric cooperative benefits, with mutualism prevailing for any positive, symmetric benefit. We also demonstrate that expansions with undulating fronts roughen dramatically at the boundaries of the mutualistic phase, with severe consequences for the population genetics along the transition lines.

q-bio.PE↗

arXiv2013

Nutrient Shielding in Clusters of Cells

Cellular nutrient consumption is influenced by both the nutrient uptake kinetics of an individual cell and the cells' spatial arrangement. Large cell clusters or colonies have inhibited growth at the cluster's center due to the shielding of nutrients by the cells closer to the surface. We develop an effective medium theory that predicts a thickness $\ell$ of the outer shell of cells in the cluster that receives enough nutrient to grow. The cells are treated as partially absorbing identical spherical nutrient sinks, and we identify a dimensionless parameter $ν$ that characterizes the absorption strength of each cell. The parameter $ν$ can vary over many orders of magnitude between different cell types, ranging from bacteria and yeast to human tissue. The thickness $\ell$ decreases with increasing $ν$, increasing cell volume fraction $ϕ$, and decreasing ambient nutrient concentration $ψ_{\infty}$. The theoretical results are compared with numerical simulations and experiments. In the latter studies, colonies of budding yeast, \textit{Saccharomyces cerevisiae}, are grown on glucose media and imaged under a confocal microscope. We measure the growth inside the colonies via a fluorescent protein reporter and compare the experimental and theoretical results for the thickness $\ell$.

physics.bio-ph↗

arXiv2013

Radial Domany-Kinzel Models with Mutation and Selection

We study the effect of spatial structure, genetic drift, mutation, and selective pressure on the evolutionary dynamics in a simplified model of asexual organisms colonizing a new territory. Under an appropriate coarse-graining, the evolutionary dynamics is related to the directed percolation processes that arise in voter models, the Domany-Kinzel (DK) model, contact process, etc. We explore the differences between linear (flat front) expansions and the much less familiar radial (curved front) range expansions. For the radial expansion, we develop a generalized, off-lattice DK model that minimizes otherwise persistent lattice artifacts. With both simulations and analytical techniques, we study the survival probability of advantageous mutants, the spatial correlations between domains of neutral strains, and the dynamics of populations with deleterious mutations. "Inflation" at the frontier leads to striking differences between radial and linear expansions. For a colony with initial radius $R_0$ expanding at velocity $v$, significant genetic demixing, caused by local genetic drift, only occurs up to a finite time $t^* = R_0/v$, after which portions of the colony become causally disconnected due to the inflating perimeter of the expanding front. As a result, the effect of a selective advantage is amplified relative to genetic drift, increasing the survival probability of advantageous mutants. Inflation also modifies the underlying directed percolation transition, introducing novel scaling functions and modifications similar to a finite size effect. Finally, we consider radial range expansions with deflating perimeters, as might arise from colonization initiated along the shores of an island.

cond-mat.stat-mech↗

arXiv2012

Steady-state properties of coupled hot and cold Ising chains

Recently, the author and Zia (2010) reported on exact results for a far-from-equilibrium system in which two coupled semi-infinite Ising chains at temperatures $T_h$ and $T_c$, with $T_h>T_c$, establish a flux of energy across their junction. This paper provides a complete derivation of those results, more explicit expressions for the energy flux, and a more detailed characterization of the system at arbitrary $T_c$ and $T_h$. We consider the two-point correlation functions and the energy flux $F(x)$ between each spin, located at integer position $x$, and its associated heat bath. In the $T_h \rightarrow \infty$ limit, the flux $F(x)$ decays exponentially into the cold bath (spins with $x=1,2,...$) for all $T_c>0$ and transitions into a power law decay as $T_c \rightarrow 0$. We find an asymptotic expansion for large $x$ in terms of modified Bessel functions that captures both of these behaviors. We perform Monte Carlo simulations that give excellent agreement with both the exact and asymptotic results for $F(x)$. The simulations are also used to study the system at arbitrary $T_h$ and $T_c$.

cond-mat.stat-mech↗