ArticleBMC systems biology2012
Stochastic simulations of a synthetic bacteria-yeast ecosystem.
Article in BMC systems biology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
12 citing papers in PubMed, 31 citations in OpenAlex.
- Synergistically promoting plant health by harnessing synthetic microbial communities and prebiotics.iScience · 2021Review
- The genetic basis for adaptation of model-designed syntrophic co-cultures.PLoS computational biology · 2019Article
- Engineering microbial consortia by division of labor.Microbial cell factories · 2019Review
- Maximum Entropy Prediction of Non-Equilibrium Stationary Distributions for Stochastic Reaction Networks with Oscillatory Dynamics.Chemical engineering science · 2017Article
- The role of mRNA and protein stability in the function of coupled positive and negative feedback systems in eukaryotic cells.Scientific reports · 2015Article
- Artificial cell-cell communication as an emerging tool in synthetic biology applications.Journal of biological engineering · 2015Article
- Agriculture and food animals as a source of antimicrobial-resistant bacteria.Infection and drug resistance · 2015Review
- Multiscale Models of Antibiotic Probiotics.Current opinion in chemical engineering · 2014Article
- Bacterial sugar utilization gives rise to distinct single-cell behaviours.Molecular microbiology · 2014Article
- Co-culture systems and technologies: taking synthetic biology to the next level.Journal of the Royal Society, Interface · 2014Review
- Synthetic biology outside the cell: linking computational tools to cell-free systems.Frontiers in bioengineering and biotechnology · 2014Review
- Consortia-mediated bioprocessing of cellulose to ethanol with a symbiotic Clostridium phytofermentans/yeast co-culture.Biotechnology for biofuels · 2013Article
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
backgroundThe field of synthetic biology has greatly evolved and numerous functions can now be implemented by artificially engineered cells carrying the appropriate genetic information. However, in order for the cells to robustly perform complex or multiple tasks, co-operation between them may be necessary. Therefore, various synthetic biological systems whose functionality requires cell-cell communication are being designed. These systems, microbial consortia, are composed of engineered cells and exhibit a wide range of behaviors. These include yeast cells whose growth is dependent on one another, or bacteria that kill or rescue each other, synchronize, behave as predator-prey ecosystems or invade cancer cells.
resultsIn this paper, we study a synthetic ecosystem comprising of bacteria and yeast that communicate with and benefit from each other using small diffusible molecules. We explore the behavior of this heterogeneous microbial consortium, composed of Saccharomyces cerevisiae and Escherichia coli cells, using stochastic modeling. The stochastic model captures the relevant intra-cellular and inter-cellular interactions taking place in and between the eukaryotic and prokaryotic cells. Integration of well-characterized molecular regulatory elements into these two microbes allows for communication through quorum sensing. A gene controlling growth in yeast is induced by bacteria via chemical signals and vice versa. Interesting dynamics that are common in natural ecosystems, such as obligatory and facultative mutualism, extinction, commensalism and predator-prey like dynamics are observed. We investigate and report on the conditions under which the two species can successfully communicate and rescue each other.
conclusionsThis study explores the various behaviors exhibited by the cohabitation of engineered yeast and bacterial cells. The way that the model is built allows for studying the dynamics of any system consisting of two species communicating with one another via chemical signals. Therefore, key information acquired by our model may potentially drive the experimental design of various synthetic heterogeneous ecosystems.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.