Coexistence of three microbial populations competing for three complementary nutrients in a chemostat

Vayenas, D.V.; Pavlou, Stavros

doi:10.1016/s0025-5564(99)00040-1

Cited by 5 publications

(3 citation statements)

References 36 publications

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“…bacteria in an activated sludge bioreactor system using the noninteractive Monod model for multiple nutrients. However, other research [3,4,[6][7][8][9] indicates that a model of interactive multiple limiting nutrients may be more appropriate for some situations. Of particular interest, Lendenmann and Egli [4] discuss several growth models appropriate for substitutable interactive nutrients and compare them to the growth of E. coli with sugar nutrients glucose, galactose, maltose, ribose, arabinose, and fructose.…”

Section: Introductionmentioning

confidence: 99%

Comparing the Effects of Interactive and Noninteractive Complementary Nutrients on Growth in a Chemostat

Braselton¹,

Abell²,

Braselton³

2013

OJAppS

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We compare the effects of interactive and noninteractive complementary nutrients on the growth of an organism in the chemostat. We also compare these two situations to the case when the nutrients are substitutable. In previous studies, complementary nutrients have been assumed to be noninteractive. However, more recent research indicates that some complementary nutrient relationships are interactive. We show that interactive complementary and substitutable nutrients can lead to higher population densities than do noninteractive complementary nutrients. We numerically illustrate that if the washout rate is high, an organism can persist at higher densities when the complementary nutrients are interactive than when they are noninteractive, which can result in the extinction of the organism. Finally, we present an example by making a small adjustment to the model that leads to a single nutrient model with an intermediate metabolite of the original substrate as the nutrient for the organism.

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Section: Introductionmentioning

confidence: 99%

Comparing the Effects of Interactive and Noninteractive Complementary Nutrients on Growth in a Chemostat

Braselton¹,

Abell²,

Braselton³

2013

OJAppS

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“…The authors have pointed out its advantages for reduction of complexity and generation of nutrient limitations similar to the “real” system. The main interaction, which is studied commonly, is competition for one or more substrates (Aziza and Amrane, 2008; Gottschal and Thingstad, 1982; Kuenen, 1981; Vayenas and Pavlou, 1999). The chemostat therefore has been applied in an extensive number of experimental studies in microbial ecology and in theoretical approaches for investigating competition models in mathematical biology (Gottschal, 1990, 1993; Reeves et al, 2004).…”

Section: Introductionmentioning

confidence: 99%

“…So far, no experimental study described a microbial system consisting of three or more species, which compete for three complementary rate‐limiting substrates in a single chemostat (Vayenas and Pavlou, 1999). An important prerequisite for such studies would be the monitoring of the population dynamics to obtain quantitative data, that is, cell concentrations and relevant metabolites concentrations should be measured.…”

Section: Introductionmentioning

confidence: 99%

A novel concept combining experimental and mathematical analysis for the identification of unknown interspecies effects in a mixed culture

Schmidt

Riedele

Regestein

et al. 2011

Biotech & Bioengineering

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Bacteria in natural habitats only occur in consortia together with various other species. Characterization of bacterial species, however, is normally done by laboratory testing of pure isolates. Any interactions that might appear during growth in mixed-culture are obviously missed by this approach. Existing experimental studies mainly focus on two-species mixed cultures with species specifically chosen for their known growth characteristics, and their anticipated interactions. Various theoretical mathematical studies dealing with mixed cultures and possible interspecies effects exist, but often models cannot be validated due to a lack of experimental data. Here, we present a concept for the identification of interspecies effects in mixed cultures with arbitrary and unknown single-species properties. Model structure and parameters were inferred from single-species experiments for the reproduction of mixed-culture experiments by simulation. A mixed culture consisting of the three-species Pseudomonas aeruginosa, Burkholderia cepacia, and Staphylococcus aureus served as a model system. For species-specific enumeration a quantitative terminal restriction length polymorphism (qT-RFLP) assay was used. Based on models fitted to single-species cultivations, the outcome of mixed-culture experiments was predicted. Deviations of simulation results and experimental findings were then used to design additional single-cell experiments, to modify the corresponding growth kinetics, and to update model parameters. Eventually, the resulting mixed-culture dynamics was predicted and compared again to experimental results. During this iterative cycle, it became evident that the observed coexistence of P. aeruginosa and B. cepacia in mixed-culture chemostat experiments cannot be explained on the basis of glucose as the only substrate. After extension of growth kinetics, that is, for use of amino acids as secondary substrates, mixed-culture simulations represented the experimental findings very well. According to the model structure, as motivated by single-species experiments, the growth of P. aeruginosa and B. cepacia on glucose and amino acids could be assumed to be independent of each other. In contrast, both substrates are taken up simultaneously by S. aureus.

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The dynamics of a tri-trophic food chain with two-component populations from a biochemical perspective

Hanegraaf

Kooi

2002

Ecological Modelling

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Coexistence of three microbial populations competing for three complementary nutrients in a chemostat

Cited by 5 publications

References 36 publications

Comparing the Effects of Interactive and Noninteractive Complementary Nutrients on Growth in a Chemostat

Comparing the Effects of Interactive and Noninteractive Complementary Nutrients on Growth in a Chemostat

A novel concept combining experimental and mathematical analysis for the identification of unknown interspecies effects in a mixed culture

The dynamics of a tri-trophic food chain with two-component populations from a biochemical perspective

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