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Published online on January 8, 2007, 10.1073/pnas.0607651104
PNAS | January 16, 2007 | vol. 104 | no. 3 | 876-881


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From the Cover
BIOLOGICAL SCIENCES / EVOLUTION
Cooperation and conflict in microbial biofilms

Joao B. Xavier, and Kevin R. Foster*

Center for Systems Biology, Harvard University, Bauer Laboratory, 7 Divinity Avenue, Cambridge, MA 02138

Edited by Richard E. Lenski, Michigan State University, East Lansing, MI, and approved November 13, 2006 (received for review September 1, 2006)

Biofilms, in which cells attach to surfaces and secrete slime (polymeric substances), are central to microbial life. Biofilms are often thought to require high levels of cooperation because extracellular polymeric substances are a shared resource produced by one cell that can be used by others. Here we examine this hypothesis by using a detailed individual-based simulation of a biofilm to investigate the outcome of evolutionary competitions between strains that differ in their level of polymer production. Our model includes a biochemical description of the carbon fluxes for growth and polymer production, and it explicitly calculates diffusion–reaction effects and the resulting solute gradients in the biofilm. An emergent property of these simple but realistic mechanistic assumptions is a strong evolutionary advantage to extracellular polymer production. Polymer secretion is altruistic to cells above a focal cell: it pushes later generations in their lineage up and out into better oxygen conditions, but it harms others; polymer production suffocates neighboring nonpolymer producers. This property, analogous to vertical growth in plants, suggests that polymer secretion provides a strong competitive advantage to cell lineages within mixed-genotype biofilms: global cooperation is not required. Our model fundamentally changes how biofilms are expected to respond to changing social conditions; the presence of multiple strains in a biofilm should promote rather than inhibit polymer secretion.

sociobiology | bacteria | individual-based modeling


Author contributions: J.B.X. and K.R.F. designed research; J.B.X. performed research; J.B.X. analyzed data; and J.B.X. and K.R.F. wrote the paper.

The authors declare no conflict of interest.

This article is a PNAS direct submission.

This article contains supporting information online at www.pnas.org/cgi/content/full/0607651104/DC1.

*To whom correspondence should be addressed. E-mail: kfoster{at}cgr.harvard.edu

© 2007 by The National Academy of Sciences of the USA


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