Spatial dilemmas of diffusible public goods

eLife, Journal Year: 2013, Volume and Issue: 2

Published: Dec. 17, 2013

The emergence of cooperation is a central question in evolutionary biology. Microorganisms often cooperate by producing chemical resource (a public good) that benefits other cells. sharing goods depends on their diffusion through space. Previous theory suggests spatial structure can promote evolution cooperation, but the introduces new phenomena must be modeled explicitly. We develop an approach where colony geometry and good are described graphs. find success simple relation between costs good, amount retained producer, average each producer's neighbors. These quantities derived as analytic functions graph topology rate. In general, favored for small rates, low dimensionality, rates decay good. DOI: http://dx.doi.org/10.7554/eLife.01169.001.

Language: Английский

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Pervasive Selection for Cooperative Cross-Feeding in Bacterial Communities

PLoS Computational Biology, Journal Year: 2016, Volume and Issue: 12(6), P. e1004986 - e1004986

Published: June 17, 2016

Bacterial communities are taxonomically highly diverse, yet the mechanisms that maintain this diversity remain poorly understood. We hypothesized an obligate and mutual exchange of metabolites, as is very common among bacterial cells, could stabilize different genotypes within microbial communities. To test this, we developed a cellular automaton to model interactions six empirically characterized differ in their ability propensity produce amino acids. By systematically varying intrinsic (i.e. benefit-to-cost ratio) extrinsic parameters metabolite diffusion level, environmental acid availability), show cross-feeding essential metabolites selected for under broad range conditions. In spatially structured environments, positive assortment cross-feeders resulted formation cooperative clusters, which limited exploitation by non-producing auxotrophs, allowed them persist at clusters' periphery. Strikingly, helped genotypic populations, while supplementation environment decoupled favored auxotrophic cells saved production costs over metabolically autonomous prototrophs. Together, our results suggest environments nutrient availabilities should facilitate evolution metabolic interactions, can help natural populations.

Language: Английский

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Extracellular Metabolism Sets the Table for Microbial Cross-Feeding

Microbiology and Molecular Biology Reviews, Journal Year: 2021, Volume and Issue: 85(1)

Published: Jan. 12, 2021

The transfer of nutrients between cells, or cross-feeding, is a ubiquitous feature microbial communities with emergent properties that influence our health and orchestrate global biogeochemical cycles. Cross-feeding inevitably involves the externalization molecules.

Language: Английский

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Reciprocal Fitness Feedbacks Promote the Evolution of Mutualistic Cooperation

Current Biology, Journal Year: 2020, Volume and Issue: 30(18), P. 3580 - 3590.e7

Published: July 23, 2020

Language: Английский

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Synthetic microbial ecology and the dynamic interplay between microbial genotypes

FEMS Microbiology Reviews, Journal Year: 2016, Volume and Issue: 40(6), P. 961 - 979

Published: Aug. 26, 2016

Assemblages of microbial genotypes growing together can display surprisingly complex and unexpected dynamics result in community-level functions behaviors that are not readily expected from analyzing each genotype isolation. This complexity has, at least part, inspired a discipline synthetic ecology. Synthetic ecology focuses on designing, building the dynamic behavior ‘ecological circuits’ (i.e. set interacting genotypes) understanding how properties emerge as consequence those interactions. In this review, we discuss typical objectives main advantages rationales using assemblages. We then summarize recent findings current investigations. particular, focus causes consequences interplay between different illustrate simple interactions create promote properties. finally propose distinguishing active passive accounting for pervasiveness competition improve existing frameworks designing predicting

Language: Английский

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