Trade-offs between competition and defense specialists among unicellular planktonic organisms: the "killing the winner" hypothesis revisited.
A trade-off between strategies maximizing growth and minimizing losses appears to be a fundamental property of evolving biological entities existing in environments with limited resources. In the special case of unicellular planktonic organisms, the theoretical framework describing the trade-offs between competition and defense specialists is known as the "killing the winner" hypothesis (KtW). KtW describes how the availability of resources and the actions of predators (e.g., heterotrophic flagellates) and parasites (e.g., viruses) determine the composition and biogeochemical impact of such organisms. We extend KtW conceptually by introducing size- or shape-selective grazing of protozoans on prokaryotes into an idealized food web composed of prokaryotes, lytic viruses infecting prokaryotes, and protozoans. This results in a hierarchy analogous to a Russian doll, where KtW principles are at work on a lower level due to selective viral infection and on an upper level due to size- or shape-selective grazing by protozoans. Additionally, we critically discuss predictions and limitations of KtW in light of the recent literature, with particular focus on typically neglected aspects of KtW. Many aspects of KtW have been corroborated by in situ and experimental studies of isolates and natural communities. However, a thorough test of KtW is still hampered by current methodological limitations. In particular, the quantification of nutrient uptake rates of the competing prokaryotic populations and virus population-specific adsorption and decay rates appears to be the most daunting challenge for the years to come.
Winter
Christian
C
University of Vienna, Faculty of Life Sciences, Department of Marine Biology, Althanstrasse 14, 1090 Vienna, Austria. cwjournals@mac.com
Bouvier
Thierry
T
Weinbauer
Markus G
MG
Thingstad
T Frede
TF
D004777:Environment; D020387:Food Chain; D056265:Microbial Interactions; D008954:Models, Biological; D010933:Plankton / Q000502:physiology*; D011387:Prokaryotic Cells / Q000502:physiology*; D014780:Viruses