Synthetic cooperation in engineered yeast populations

  1. Wenying Shou*,,,
  2. Sri Ram, and
  3. Jose M. G. Vilar*
  1. *Computational Biology Program, Memorial Sloan–Kettering Cancer Center, 1275 York Avenue, Box 460, New York, NY 10021; and
  2. Laboratory of Living Matter and Center for Studies in Physics and Biology, The Rockefeller University, 1230 York Avenue, Box 34, New York, NY 10021
  1. Communicated by Cornelia I. Bargmann, The Rockefeller University, New York, NY, December 4, 2006 (received for review September 17, 2006)

Abstract

Cooperative interactions are key to diverse biological phenomena ranging from multicellularity to mutualism. Such diversity makes the ability to create and control cooperation desirable for potential applications in areas as varied as agriculture, pollutant treatment, and medicine. Here we show that persistent cooperation can be engineered by introducing a small set of genetic modifications into previously noninteracting cell populations. Specifically, we report the construction of a synthetic obligatory cooperative system, termed CoSMO (cooperation that is synthetic and mutually obligatory), which consists of a pair of nonmating yeast strains, each supplying an essential metabolite to the other strain. The behavior of the two strains in isolation, however, revealed unintended constraints that restrict cooperation, such as asymmetry in starvation tolerance and delays in nutrient release until near cell death. However, the joint system is shown mathematically and experimentally to be viable over a wide range of initial conditions, with oscillating population ratio settling to a value predicted by nutrient supply and consumption. Unexpectedly, even in the absence of explicitly engineered mechanisms to stabilize cooperation, the cooperative system can consistently develop increased ability to survive reductions in population density. Extending synthetic biology from the design of genetic circuits to the engineering of ecological interactions, CoSMO provides a quantitative system for linking processes at the cellular level to the collective behavior at the system level, as well as a genetically tractable system for studying the evolution of cooperation.

Footnotes

  • To whom correspondence should be addressed. E-mail: shouw{at}cbio.mskcc.org or wenying.shou{at}gmail.com
  • Author contributions: W.S. designed and performed experiments; S.R. automated data processing; W.S., S.R., and J.M.G.V. analyzed data; W.S. and J.M.G.V. designed and performed mathematical analysis; and W.S., S.R., and J.M.G.V. wrote the paper.

  • The authors declare no conflict of interest.

  • See Commentary on page 1741.

  • This article contains supporting information online at www.pnas.org/cgi/content/full/0610575104/DC1.

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