Kinetic models for the growth ofEscherichia coli with mixtures of sugars under carbon-limited conditions

Lendenmann, Urs; Egli, Thomas

doi:10.1002/(sici)1097-0290(19980705)59:1<99::aid-bit13>3.0.co;2-y

Cited by 64 publications

(60 citation statements)

References 31 publications

(48 reference statements)

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“…Harder et al (1977) demonstrated that the strain with the highest specific growth rate at the actual concentration of the growth-limiting nutrient out-competed all others, while Lendenmann & Egli (1998) proposed that under carbonlimited conditions heterotrophic bacteria which are able to utilize a wide range of the carbon compounds can grow faster than those which exhibit a narrow substrate spectrum. Therefore, it can be expected that P. corrugata SB4 would out-compete the other strains in the consortium.…”

Section: Discussionmentioning

confidence: 99%

Characterization of a soil-derived bacterial consortium degrading 4-chloroaniline

2003

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A bacterial consortium comprising four different species was isolated from an Indonesian agricultural soil using a mixture of aniline and 4-chloroaniline (4CA) as principal carbon sources. The four species were identified as Chryseobacterium indologenes SB1, Comamonas testosteroni SB2, Pseudomonas corrugata SB4 and Stenotrophomonas maltophilia SB5. Growth studies on aniline and 4CA as single and mixed substrates demonstrated that the bacteria preferred to grow on and utilize aniline rather than 4CA, although both compounds were eventually depleted from the culture supernatant. However, despite 100 % disappearance of the parent substrates, the degradation of 4CA was always characterized by incomplete dechlorination and 4-chlorocatechol accumulation. This result suggests that further degradation of 4-chlorocatechol may be the rate-limiting step in the metabolism of 4CA by the bacterial consortium. HPLC-UV analysis showed that 4-chlorocatechol was further degraded via an ortho-cleavage pathway by the bacterial consortium. This hypothesis was supported by the results from enzyme assays of the crude cell extract of the consortium revealing catechol 1,2-dioxygenase activity which converted catechol and 4-chlorocatechol to cis,cis-muconic acid and 3-chloro-cis,cis-muconic acid respectively. However, the enzyme had a much higher conversion rate for catechol [156 U (g protein)], indicating preference for non-chlorinated substrates. Members of the bacterial consortium were also characterized individually. All isolates were able to assimilate aniline. P. corrugata SB4 was able to grow on 4CA solely, while S. maltophilia SB5 was able to grow on 4-chlorocatechol. These results suggest that the degradation of 4CA in the presence of aniline by the bacterial consortium was a result of interspecies interactions.

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Section: Discussionmentioning

confidence: 99%

Characterization of a soil-derived bacterial consortium degrading 4-chloroaniline

2003

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“…, and growth efficiencies of around 10 to 20% (del Giorgio & Cole 1998, Carlson et al 1999, to growth in nutrient-replete systems such as a laboratory culture with millimolar substrate concentrations, growth efficiencies of up to 60%, and specific uptake rates of 50 d −1 (Bailey 1977, Lendenmann & Egli 1998). …”

Section: Model Formulationmentioning

confidence: 99%

Predicting microbial nitrate reduction pathways in coastal sediments

Algar¹,

Vallino²

2014

Aquat. Microb. Ecol.

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We present an ecosystem model that describes the biogeochemistry of a sediment nitrate reducing microbial community. In the model, the microbial community is represented as a distributed metabolic network. Biogeochemical pathways are controlled through the synthesis and allocation of biological structure that serves to catalyze each process. Allocation is determined by way of a thermodynamically constrained optimization according to the principle of maximum entropy production (MEP). According to the MEP principle, ecosystems will organize so as to maximize the dissipation of free energy based upon the available resources (nutrients and electron donors and acceptors). In the model, 3 nitrate reduction pathways, viz. heterotrophic denitrification, anammox, and dissimilatory nitrate reduction to ammonium, compete for electron acceptors (nitrate and nitrite). The model predicts switches in the dominant nitrate cycling pathways based upon the ratio of carbon to nitrate supply. An advantage of this approach over a traditional organism-centric kinetic approach is that the Monod growth parameters, maximum uptake rate (ν max ), and half saturation (k M ) constants are determined during the optimization procedure as opposed to parameters specified a priori. Such a model is therefore useful for applications where these kinetic parameters are unknown and difficult to measure, such as the marine subsurface, or when ecosystems undergo large-scale environmental perturbations resulting in shifts in the dominant organisms.

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“…Among the members of the bacterial consortium, P. putida C exhibited the highest growth rate on aniline/4CA mixtures and the ability to grow on both aniline and 4CA. Harder et al (1977) demonstrated that the strain with the highest specific growth rate at the actual concentration of the growth-limiting nutrient out-competed all others, while Lendenmann and Egli (1998) proposed that under carbon limited conditions heterotrophic bacteria which are able to utilize a wide range of the carbon compounds can grow faster than those which exhibit a narrow substrate spectrum. Therefore, it can be expected that P. putida C would out-compete the other strains in the consortium.…”

Section: Discussionmentioning

confidence: 99%