Evolutionary dynamics on networks of selectively neutral genotypes:
Effects of topology and sequence stability
Jacobo Aguirre,
1
Javier M. Buldú,
2
and Susanna C. Manrubia
1
1
Centro de Astrobiología, CSIC-INTA, Ctra. de Ajalvir km 4, 28850 Torrejón de Ardoz, Madrid, Spain
2
Complex Systems Group, Signal Theory and Communications Department, U.R.J.C., Camino del Molino s/n, 28943, Fuenlabrada,
Madrid, Spain
Received 17 July 2009; published 14 December 2009
Networks of selectively neutral genotypes underlie the evolution of populations of replicators in constant
environments. Previous theoretical analysis predicted that such populations will evolve toward highly con-
nected regions of the genome space. We first study the evolution of populations of replicators on simple
networks and quantify how the transient time to equilibrium depends on the initial distribution of sequences on
the neutral network, on the topological properties of the latter, and on the mutation rate. Second, network
neutrality is broken through the introduction of an energy for each sequence. This allows to study the compe-
tition between two features neutrality and energetic stability relevant for survival and subjected to different
selective pressures. In cases where the two features are negatively correlated, the population experiences
sudden migrations in the genome space for values of the relevant parameters that we calculate. The numerical
study of larger networks indicates that the qualitative behavior to be expected in more realistic cases is already
seen in representative examples of small networks.
DOI: 10.1103/PhysRevE.80.066112 PACS numbers: 89.75.Hc, 87.23.Kg, 87.10.-e
I. INTRODUCTION
One of the tenets of the Darwinian theory of evolution is
that the fittest variants in a population increase in number
and might eventually get fixed, thus eliminating less fit
forms. Fitness refers to the phenotype of individuals, to the
measurable features that determine their suitability in a given
environment. The phenotype is the target of selection, but
random mutations, responsible for the generation of new
variants, can only act on the genotype. A better comprehen-
sion of the complex map between genotype and phenotype is
an essential issue in the effort to understand the mechanisms
behind evolution and adaptation of populations, among oth-
ers their robustness in the face of perturbations or the appear-
ance of novelty.
There is abundant evidence of the existence of an ex-
tremely large degeneration between genotype and phenotype.
In other words, the same phenotype can be obtained from a
huge number of different genotypes. This ensemble forms
the neutral network of genotypes corresponding to a given
phenotype. The idea of neutral evolution was first introduced
by Kimura 1 in order to account for the known fact that a
large number of mutations observed in proteins, DNA, or
RNA, did not have any effect on fitness.
RNA sequences folding into their minimum free-energy
secondary structures are likely the most used model of the
genotype-phenotype relationship 2–4. Analytical studies of
the number of sequences of length l compatible with a fixed
secondary structure used as a proxy for the phenotype have
revealed that the average size of the corresponding neutral
network grows as l
3/2
b
l
, where b is a constant 5. Hence,
there should be about 10
28
sequences compatible with the
structure of a transfer RNA which has length l =76, while
the currently known smallest functional RNAs, of length l
14 6, could in principle be obtained from more than 10
6
different sequences. Neutral networks are astronomically
large even for moderate values of the sequence length.
Neutrality becomes particularly important in the evolution
of quasispecies 7, populations of fast mutating replicators
which are formed by a large number of different
phenotypes—and many more genotypes—, and where high
diversity and the concomitant steady exploration of the ge-
nome space happen to be an adaptive strategy. Relevant ex-
amples of quasispecies of RNA molecules are RNA viruses
8 and error-prone replicators in the context of the RNA
world 9. Evolutionary innovation in quasispecies is facili-
tated by the fact that most neutral networks span the whole
space of genomes. Actually, taking again the case of the
RNA sequence-structure map as example, all common struc-
tures of length l can be found within a relatively small radius
measured as the number of nucleotides that have to be
changed of a randomly chosen sequence in genotype space
10, thus showing that neutral networks are deeply interwo-
ven. The mutual proximity of neutral networks in genome
space has received empirical support from studies showing
how two sequences differing in only two nucleotides can
fold and function as fully different ribozymes 11 and how
diffusion on neutral networks promotes innovation in the
evolution of influenza A 12. Diffusion through neutral net-
works is thus regarded as an essential component of the ad-
aptation of quasispecies to changing environments, which
demand new functional phenotypes to guarantee survival.
In the absence of environmental changes, quasispecies
stay on the same neutral network and evolve toward regions
denser in neutral genotypes. In these regions, the probability
that upon replication a random mutation produces a sequence
with a different fold is minimized, such that mutational ro-
bustness is maximized. Models of evolution on neutral net-
works use to define genotypes as the nodes of the network;
two nodes are linked when their sequences are at a Hamming
distance of one, that is, when they differ in only one nucle-
otide 13,14. In this scenario, and when the dynamics are
PHYSICAL REVIEW E 80, 066112 2009
1539-3755/2009/806/06611215 ©2009 The American Physical Society 066112-1