On the existence of accessible paths in various models of fitness landscapes
Artikel i vetenskaplig tidskrift, 2014

We present rigorous mathematical analyses of a number of well-known mathematical models for genetic mutations. In these models, the genome is represented by a vertex of the n-dimensional binary hypercube, for some n, a mutation involves the flipping of a single bit, and each vertex is assigned a real number, called its fitness, according to some rules. Our main concernis with the issue of existence of (selectively) accessible paths; that is, monotonic paths in the hypercube along which fitness is always increasing. Our main results resolve open questions about three such models, which in the biophysics literature are known as house of cards (HoC), constrained house of cards (CHoC) and rough Mount Fuji (RMF). We prove that the probability of there being at least one accessible path from the all-zeroes node v^0 to the all-ones node v^1 tends respectively to 0, 1 and 1, as n tends to infinity. A crucial idea is the introduction of a generalization of the CHoC model, in which the fitness of v^0 is set to some α = α_n ∈ [0, 1]. We prove that there is a very sharp threshold at α_n = (ln n)/n for the existence of accessible paths from v^0 to v^1 . As a corollary we prove significant concentration, for α below the threshold, of the number of accessible paths about the expected value (the precise statement is technical; see Corollary 1.4). In the case of RMF, we prove that the probability of accessible paths from v^0 to v^1 existing tends to 1 provided the drift parameter θ = θ_n satisfies n(θ_n) → ∞, and for any fitness distribution which is continuous on its support and whose support is connected.

Författare

Peter Hegarty

Göteborgs universitet

Chalmers, Matematiska vetenskaper, Matematik

Anders Martinsson

Chalmers, Matematiska vetenskaper, Matematisk statistik

Göteborgs universitet

Annals of Applied Probability

1050-5164 (ISSN)

Vol. 24 4 1375-1395

Ämneskategorier

Evolutionsbiologi

Sannolikhetsteori och statistik

Diskret matematik

Fundament

Grundläggande vetenskaper

Styrkeområden

Livsvetenskaper och teknik (2010-2018)

DOI

10.1214/13-aap949

Mer information

Skapat

2017-10-07