Can we measure fitness when populations swap genes?

Populations connected by migration muddy the genetic signals needed to measure fitness, but researchers extended a decades-old theory from statistical physics to handle this. Using simulated whole-genome data, they showed that at low migration rates, you can still accurately estimate which genes boost fitness and how they interact. This matters because real populations constantly exchange members—understanding fitness across these networks is crucial for predicting evolution in connected species and ecosystems.