Coexistence of mixotrophs, autotrophs, and heterotrophs in planktonic microbial communities.
We examine what circumstances allow the coexistence of microorganisms following different nutritional strategies, using a mathematical model. This model incorporates four nutritional types commonly found in planktonic ecosystems: (1) heterotrophic bacteria that consume dissolved organic matter and are prey to some of the other organisms; (2) heterotrophic zooflagellates that depend entirely on bacterial prey; (3) phototrophic algae that depend only on light and inorganic nutrients, and (4) mixotrophs that photosynthesize, take up inorganic nutrients, and consume bacterial prey. Mixotrophs are characterized by a parameter representing proportional mixing of phototrophic and heterotrophic nutritional strategies. Varying this parameter, a range of mixotrophic strategies was examined in hypothetical habitats differing in supplies of light, dissolved organic carbon, and dissolved inorganic phosphorous. Mixotrophs expressing a wide range of mixotrophic strategies persisted in model habitats with low phosphorus supply, but only those with a strategy that is mostly autotrophic persisted with high nutrient supply, and then only when light supply was also high. Organisms representing all four nutritional strategies were predicted to coexist in habitats with high phosphorus and light supplies. Coexistence involves predation by zooflagellates and mixotrophs balancing the high competitive ability of bacteria for phosphorus, the partitioning of partially overlapping resources between all populations, and possibly nonequlibrium dynamics. In most habitats, the strategy predicted to maximize the abundance of mixotrophs is to be mostly photosynthetic and supplement nutritional needs by consuming bacteria.
Crane
Kenneth W
KW
University of Texas at Arlington, Biology Department Box 19498, Arlington, TX 76019-0498, USA. kcrane@uta.edu
Grover
James P
JP
D052818:Autotrophic Processes / Q000502:physiology*; D018407:Bacterial Physiological Phenomena; D003198:Computer Simulation; D017753:Ecosystem; D052836:Heterotrophic Processes / Q000502:physiology*; D008954:Models, Biological; D010933:Plankton / Q000382:microbiology*; D011157:Population Dynamics