Life history correlations and trade-offs resulting from selection for dispersal in Tribolium castaneum.

Dispersal is an important facet of the life history of many organisms and is therefore subject to selective pressure, but does not evolve in isolation. Across nature there are examples of dispersal syndromes, life history strategies in which suites of traits coevolve and covary with dispersal in combinations that serve to maximise fitness in a given ecological context. The red rust flour beetle, Tribolium castaneum, is a model organism and globally significant post-harvest pest which relies on dispersal to reach new patches of ephemeral habitat. Dispersal behaviour in Tribolium has a strong genetic basis. However, a robust understanding of the relationship between dispersal and other life history components, which could elucidate evolutionary processes and allow pest managers to control their spread and reduce the impact of infestation, is currently lacking. Here we use highly replicated lines of T. castaneum previously artificially selected for divergent small-scale dispersal propensity, to robustly test several important life history components: reproductive strategy, development time and longevity. As predicted, we find that a suite of important change as result of our selection on dispersal; high dispersal propensity is associated with a lower number of longer mating attempts by males, lower investment in early-life reproduction by females, slower development of later-laid offspring and longer female lifespan. These findings indicate that correlated intraspecific variation in dispersal and related traits may represent alternative life history strategies in T. castaneum. We therefore suggest that pest management efforts to mitigate the species' agro-economic impact should consider the eco-evolutionary dynamics within multiple life-histories. The benefits of doing so could be felt both through improved targetting of efforts to reduce spread, and also in forecasting of how the selection pressures applied through pest management are likely to affect pest evolution.