title: Optimal foraging predicts the ecology but not the evolution of host specialization in bacteriophages.
abstract: We explore the ability of optimal foraging theory to explain the observation among marine bacteriophages that host range appears to be negatively correlated with host abundance in the local marine environment. We modified Charnov's classic diet composition model to describe the ecological dynamics of the related generalist and specialist bacteriophages phiX174 and G4, and confirmed that specialist phages are ecologically favored only at high host densities. Our modified model accurately predicted the ecological dynamics of phage populations in laboratory microcosms, but had only limited success predicting evolutionary dynamics. We monitored evolution of attachment rate, the phenotype that governs diet breadth, in phage populations adapting to both low and high host density microcosms. Although generalist phiX174 populations evolved even broader diets at low host density, they did not show a tendency to evolve the predicted specialist foraging strategy at high host density. Similarly, specialist G4 populations were unable to evolve the predicted generalist foraging strategy at low host density. These results demonstrate that optimal foraging models developed to explain the behaviorally determined diets of predators may have only limited success predicting the genetically determined diets of bacteriophage, and that optimal foraging probably plays a smaller role than genetic constraints in the evolution of host specialization in bacteriophages.
authors.affiliation: Department of Biology, University of North Carolina, Chapel Hill, North Carolina, United States of America.
authors.forename: Sébastien
authors.initials: S
authors.lastname: Guyader
authors.forename: Christina L
authors.initials: CL
authors.lastname: Burch
mesh_terms: D000220:Adaptation, Biological; D010584:Bacteriophage phi X 174 / Q000235:genetics; D001435:Bacteriophages / Q000378:metabolism*; D005075:Biological Evolution; D004463:Ecology / Q000379:methods*; D017753:Ecosystem; D004926:Escherichia coli / Q000378:metabolism; D019143:Evolution, Molecular; D008954:Models, Biological; D011157:Population Dynamics; D019779:Salmonella enterica / Q000378:metabolism; D012641:Selection, Genetic