Based on a deterministic mutation–selection model the
concept of error thresholds is critically
examined. It has often been argued that genetic information –
for instance, an advantageous allele
– can be selectively maintained in a population only if the
mutation rate is below a certain limit,
the error threshold, which is inversely related to the genome size. Here,
I will show that such an
inverse relationship strongly depends on the fitness model. To produce
the error threshold, as
given by Eigen (1971), requires that the fitness model is an
extreme form of diminishing epistasis.
The error threshold, in a strict sense, vanishes as epistasis changes
from diminishing to synergistic.
In the latter case even the usual definition of error thresholds
becomes ambiguous. Initially, a finite
sites model has been used to describe error thresholds. However,
they can also be defined within
the framework of the infinite sites model. I study both models in
parallel and compare their
properties as far as error thresholds are concerned. It is
concluded that error thresholds possibly
play a much less important role in molecular evolution than
has often been assumed in the past.