Understanding microbial cooperation
Author(s)
Damore, James A.; Gore, Jeff
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The field of microbial cooperation has grown enormously over the last decade, leading to improved experimental techniques and a growing awareness of collective behavior in microbes. Unfortunately, many of our theoretical tools and concepts for understanding cooperation fail to take into account the peculiarities of the microbial world, namely strong selection strengths, unique population structure, and non-linear dynamics. Worse yet, common verbal arguments are often far removed from the math involved, leading to confusion and mistakes. Here, we review the general mathematical forms of Price's equation, Hamilton's rule, and multilevel selection as they are applied to microbes and provide some intuition on these otherwise abstract formulas. However, these sometimes overly general equations can lack specificity and predictive power, ultimately forcing us to advocate for more direct modeling techniques.
Date issued
2012-04Department
Massachusetts Institute of Technology. Department of PhysicsJournal
Journal of Theoretical Biology
Publisher
Elsevier B.V.
Citation
Damore, James A., and Jeff Gore. “Understanding Microbial Cooperation.” Journal of Theoretical Biology 299 (April 2012): 31–41.
Version: Author's final manuscript
ISSN
00225193