title: Disruptive selection as a driver of evolutionary branching and caste evolution in social insects.
abstract: Theory suggests that evolutionary branching via disruptive selection may be a relatively common and powerful force driving phenotypic divergence. Here, we extend this theory to social insects, which have novel social axes of phenotypic diversification. Our model, built around turtle ant (Cephalotes) biology, is used to explore whether disruptive selection can drive the evolutionary branching of divergent colony phenotypes that include a novel soldier caste. Soldier evolution is a recurrent theme in social insect diversification that is exemplified in the turtle ants. We show that phenotypic mutants can gain competitive advantages that induce disruptive selection and subsequent branching. A soldier caste does not generally appear before branching, but can evolve from subsequent competition. The soldier caste then evolves in association with specialized resource preferences that maximize defensive performance. Overall, our model indicates that resource specialization may occur in the absence of morphological specialization, but that when morphological specialization evolves, it is always in association with resource specialization. This evolutionary coupling of ecological and morphological specialization is consistent with recent empirical evidence, but contrary to predictions of classical caste theory. Our model provides a new theoretical understanding of the ecology of caste evolution that explicitly considers the process of adaptive phenotypic divergence and diversification.
authors.affiliation: Department of Mathematics, VU University Amsterdam, Amsterdam, The Netherlands. r.planque@vu.nl.
authors.forename: R
authors.initials: R
authors.lastname: Planqué
authors.affiliation: Department of Biological Sciences, George Washington University, Washington, DC, USA.
authors.forename: S
authors.initials: S
authors.lastname: Powell
authors.affiliation: School of Biological Sciences, University of Bristol, Bristol, UK.
authors.forename: N R
authors.initials: NR
authors.lastname: Franks
authors.affiliation: Department of Mathematics, VU University Amsterdam, Amsterdam, The Netherlands.
authors.forename: J B
authors.initials: JB
authors.lastname: van den Berg
mesh_terms: D000818:Animals; D001000:Ants; D005075:Biological Evolution; D004463:Ecology; D007313:Insecta; D012919:Social Behavior
keywords: 
  Cephalotes
  ; Adaptive Dynamics; mathematical model; metapopulations; phenotypic diversification; social insects