Microbes exist naturally in a wide range of environments in communities where their interactions are significant, spanning the extremes of high acidity and high temperature environments to soil and the ocean. We present a practical discussion of three different approaches for modeling microbial communities: rate equations, individual-based modeling, and population dynamics. We illustrate the approaches with detailed examples. Each approach is best fit to different levels of system representation, and they have different needs for detailed biological input. Thus, this set of approaches is able to address the operation and function of microbial communities on a wide range of organizational levels. © 2009 Humana Press.
CITATION STYLE
Navid, A., Ghim, C. M., Fenley, A. T., Yoon, S., Lee, S., & Almaas, E. (2009). Systems biology of microbial communities. Methods in Molecular Biology, 500(1), 469–494. https://doi.org/10.1007/978-1-59745-525-1_16
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