Abstract
Repeated evolution tends to be more predictable. The impressive spectrum of recent reports on genomic parallelism, however, revealed that the fraction of the genome that evolves in parallel varies greatly, possibly reflecting different evolutionary scales investigated. Here, we demonstrate divergence-dependent parallelism using a comprehensive genome-wide dataset comprising 12 cases of parallel alpine adaptation and identify decreasing probability of adaptive re-use of genetic variation as the major underlying cause. This finding empirically demonstrates that evolutionary predictability is scale dependent and suggests that availability of preexisting variation drives parallelism within and among populations and species. Altogether, our results inform the ongoing discussion about the (un)predictability of evolution, relevant for applications in pest control, nature conservation, or the evolution of pathogen resistance.
