Experimental design of a simple medium for the bioluminescence of Aliivibrio fischeri and mathematical modelling for growth estimation
| Autor: | Odette Castillo‐Gómez, Blondy Canto-Canché, Ruby Valdez-Ojeda, Víctor M. Ramírez‐Rivera |
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| Rok vydání: | 2018 |
| Předmět: |
Gompertz function
Biophysics 02 engineering and technology 01 natural sciences chemistry.chemical_compound Yeast extract Bioluminescence Aliivibrio fischeri Models Statistical biology Chemistry 010401 analytical chemistry Fractional factorial design biochemical phenomena metabolism and nutrition 021001 nanoscience & nanotechnology biology.organism_classification 0104 chemical sciences Chemistry (miscellaneous) Tryptone Luminescent Measurements Linear Models bacteria 0210 nano-technology Biological system Software |
| Zdroj: | Luminescence : the journal of biological and chemical luminescenceREFERENCES. 34(8) |
| ISSN: | 1522-7243 |
| Popis: | Increasing numbers of studies are using Aliivibrio fischeri (A. fischeri), a marine bioluminescent bacterium as a model, however the culture medium used for its growth are complex and expensive. The objectives of this study were: (1) to evaluate the effect of yeast extract, tryptone, and NaCl to select a simple and inexpensive culture medium suitable for A. fischeri growth and bioluminescence induction; and (2) to compare the performance of mathematical models to predict the growth of A. fischeri. A fractional factorial design was performed to evaluate the effect of yeast extract, tryptone, and sodium chloride on the luminescence of A. fischeri. The result showed that sodium chloride is the most important factor, congruent with its inducer role in bioluminescence. The best medium for bioluminescence induction was selected through an optimization plot, this medium is inexpensive, and generates the same luminescence as commercial formulations. The estimation of A. fischeri growth at OD600 measurement was statistically analyzed. All evaluated models fitted the data adequately (r2 > 0.96). The nonlinear models Gompertz, Richards and logistic provided a lower variation and a better fit of the growth estimation (r2 >0.99), showing that these mathematical models can be used for the accurate growth prediction of A. fischeri. |
| Databáze: | OpenAIRE |
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