The extinction of RNA virus populations upon application of a mutagenic drug is
frequently referred to as evidence for the existence of an error threshold, above which
the population cannot sustain the mutational load. To explain the extinction process after
reaching this threshold, models of lethal mutagenesis have been proposed, in which
extinction is described as a deterministic (and thus population size-independent) process.
As a separate body of literature, the population genetics community has developed models
of mutational meltdown, which focus on the stochastic (and thus population-size dependent)
processes governing extinction. However, recent extensions of both models have blurred
these boundaries. Here, we first clarify definitions in terms of assumptions,
expectations, and relevant parameter spaces, and then assess similarities and differences.
As concepts from both fields converge, we argue for a unified theoretical framework that
is focused on the evolutionary processes at play, rather than dispute over terminology.