Defining Coarse-Grainability in a Model of Structured Microbial Ecosystems

Despite their complexity, microbial ecosystems appear to be at least partially ???coarse-grainable??? in that some properties of interest can be adequately described by effective models of dimension much smaller than the number of interacting lineages. This is especially puzzling, since recent studies demonstrate that a surprising amount of functionally relevant diversity is present at all levels of resolution, down to strains differing by 100 nucleotides or fewer. Rigorously defining coarse-grainability and understanding the conditions for its emergence is of critical importance for understanding microbial ecosystems. To begin addressing these questions, we propose a minimal model for investigating hierarchically structured ecosystems within the framework of resource competition. We use our model to operationally define coarse-graining quality based on reproducibility of the outcomes of a specified experiment and show that a coarse-graining can be operationally valid despite grouping together functionally diverse strains. Furthermore, we demonstrate that a high diversity of strains (while nominally more complex) may, in fact, facilitate coarse-grainability and that, at least within our model, coarse-grainability is maximized when a community is assembled in its ???native??? environment. Our modeling framework offers a path toward building a theoretical understanding of which ecosystem properties, and in which environmental conditions, might be predictable by coarse-grained models.

Automated summary

Microbial ecosystems, despite their complexity, can be partially described by effective models with lower dimensions. Recent studies show that functionally relevant diversity exists at all resolution levels. Building a theoretical framework to predict which ecosystem properties can be predictable by coarse-grained models in different environmental conditions is important.