title: The effect of conflicting pressures on the evolution of division of labor.
abstract: Within nature, many groups exhibit division of labor. Individuals in these groups are under seemingly antagonistic pressures to perform the task most directly beneficial to themselves and to potentially perform a less desirable task to ensure the success of the group. Performing experiments to study how these pressures interact in an evolutionary context is challenging with organic systems because of long generation times and difficulties related to group propagation and fine-grained control of within-group and between-group pressures. Here, we use groups of digital organisms (i.e., self-replicating computer programs) to explore how populations respond to antagonistic multilevel selection pressures. Specifically, we impose a within-group pressure to perform a highly-rewarded role and a between-group pressure to perform a diverse suite of roles. Thus, individuals specializing on highly-rewarded roles will have a within-group advantage, but groups of such specialists have a between-group disadvantage. We find that digital groups could evolve to be either single-lineage or multi-lineage, depending on experimental parameters. These group compositions are reminiscent of different kinds of major evolutionary transitions that occur within nature, where either relatives divide labor (fraternal transitions) or multiple different organisms coordinate activities to form a higher-level individual (egalitarian transitions). Regardless of group composition, organisms embraced phenotypic plasticity as a means for genetically similar individuals to perform different roles. Additionally, in multi-lineage groups, organisms from lineages performing highly-rewarded roles also employed reproductive restraint to ensure successful coexistence with organisms from other lineages.
authors.affiliation: Department of Biology, University of Washington, Seattle, Washington, United States of America; BEACON Center for Evolution in Action, Michigan State University, East Lansing, Michigan, United States of America.
authors.forename: Heather J
authors.initials: HJ
authors.lastname: Goldsby
authors.affiliation: Department of Microbiology and Molecular Genetics, Michigan State University, East Lansing, Michigan, United States of America; BEACON Center for Evolution in Action, Michigan State University, East Lansing, Michigan, United States of America.
authors.forename: David B
authors.initials: DB
authors.lastname: Knoester
authors.affiliation: Department of Biology, University of Washington, Seattle, Washington, United States of America; BEACON Center for Evolution in Action, Michigan State University, East Lansing, Michigan, United States of America.
authors.forename: Benjamin
authors.initials: B
authors.lastname: Kerr
authors.affiliation: Department of Computer Science and Engineering, Michigan State University, East Lansing, Michigan, United States of America; BEACON Center for Evolution in Action, Michigan State University, East Lansing, Michigan, United States of America.
authors.forename: Charles
authors.initials: C
authors.lastname: Ofria
mesh_terms: D000220:Adaptation, Biological / Q000502:physiology; D000818:Animals; D005075:Biological Evolution; D003198:Computer Simulation; D003220:Conflict, Psychological; D056084:Genetic Fitness / Q000502:physiology*; D006801:Humans; D008954:Models, Biological; D011157:Population Dynamics; D012641:Selection, Genetic; D013312:Stress, Physiological / Q000502:physiology*; D014937:Work / Q000502:physiology*
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