Computation of mutual fitness by competing bacteria

Title

Computation of mutual fitness by competing bacteria

 Author

Keymer, J.E.
Galajda, P.
Lambert, G.
Liao, D.
Austin, R.H.

Faculty

Applied Sciences

 Department

Kavli Institute of Nanoscience Delft

 Date

2008-12-11

 Abstract

Competing populations in shared spaces with nonrenewable resources do not necessarily wage a battle for dominance at the cost of extinction of the less-fit strain if there are fitness advantages to the presence of the other strain. We report on the use of nanofabricated habitat landscapes to study the population dynamics of competing wild type and a growth advantage in stationary phase (GASP) mutant strains of Escherichia coli in a sealed and heterogeneous nutrient environment. Although GASP mutants are competitors with wild-type bacteria, we find that the 2 strains cooperate to maximize fitness (long-term total productivity) via spatial segregation: despite their very close genomic kinship, wild-type populations associate with wild-type populations and GASP populations with GASP populations. Thus, wild-type and GASP strains avoid each other locally, yet fitness is enhanced for both strains globally. This computation of fitness enhancement emerges from the local interaction among cells but maximizes global densities. At present we do not understand how fluctuations in both spatial and temporal dimensions lead to the emergent computation and how multilevel aggregates produce this collective adaptation.

 Subject

biophysics
competition
ecology
microbiology

 To reference this document use:

http://resolver.tudelft.nl/uuid:d9e99b3d-1c70-49f8-8304-c3d142303ced

 Publisher

National Academy of Sciences

 ISSN

1091-6490

 Source

Proceedings of the National Academy of Sciences of the USA, 105 (51), 2008

 Part of collection

Institutional Repository

 Document type

journal article

 Rights

(c) Keymer, J.E. et al. ; National Academy of Sciences
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