Individual- versus group-optimality in the production of secreted bacterial compounds.

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Bibliographic Details
Title: Individual- versus group-optimality in the production of secreted bacterial compounds.
Authors: Schiessl KT; Department of Environmental Microbiology, Swiss Federal Institute of Aquatic Science and Technology (Eawag), Dübendorf, 8600, Switzerland.; Department of Environmental Systems Science, Swiss Federal Institute of Technology (ETH Zurich), Zürich, 8092, Switzerland.; Current Address: Department of Biological Sciences, Columbia University, 1212 Amsterdam Avenue, New York, 10027, New York., Ross-Gillespie A; Department of Plant and Microbial Biology, University of Zürich, Zürich, 8057, Switzerland., Cornforth DM; School of Biological Sciences, Georgia Institute of Technology, Atlanta, 30332, Georgia., Weigert M; Department of Plant and Microbial Biology, University of Zürich, Zürich, 8057, Switzerland., Bigosch C; Department of Health Sciences and Technology, Swiss Federal Institute of Technology (ETH Zurich), Zürich, 8092, Switzerland., Brown SP; School of Biological Sciences, Georgia Institute of Technology, Atlanta, 30332, Georgia., Ackermann M; Department of Environmental Microbiology, Swiss Federal Institute of Aquatic Science and Technology (Eawag), Dübendorf, 8600, Switzerland.; Department of Environmental Systems Science, Swiss Federal Institute of Technology (ETH Zurich), Zürich, 8092, Switzerland., Kümmerli R; Department of Plant and Microbial Biology, University of Zürich, Zürich, 8057, Switzerland.; Department of Quantitative Biomedicine, University of Zürich, Zürich, 8057, Switzerland.
Source: Evolution; international journal of organic evolution [Evolution] 2019 Apr; Vol. 73 (4), pp. 675-688. Date of Electronic Publication: 2019 Feb 28.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Oxford University Press Country of Publication: United States NLM ID: 0373224 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1558-5646 (Electronic) Linking ISSN: 00143820 NLM ISO Abbreviation: Evolution Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1558-5646
DOI:10.1111/evo.13701