Application of statistical selection procedures for selecting the mutant with the highest enzyme activity from a set of mutants of the speciesAspergillus niger
| Autor: | U. Römisch, S. Gargova |
|---|---|
| Rok vydání: | 1997 |
| Předmět: |
education.field_of_study
biology Homogeneity (statistics) Aspergillus niger Mutant Population Bioengineering biology.organism_classification Applied Microbiology and Biotechnology Enzyme assay Biochemistry Sample size determination Statistics biology.protein Analysis of variance education Selection (genetic algorithm) Biotechnology |
| Zdroj: | Acta Biotechnologica. 17:91-102 |
| ISSN: | 0138-4988 |
| DOI: | 10.1002/abio.370170113 |
| Popis: | The enzyme Glucoamylase [1,4-α-D-glucan-glucohydrolase EC 3.2.1.3] is very important for the food industry. It is used for producing glucose, ethanol and beer, as well as in technological processes that require the decomposition of starch. Eight mutants of the species Aspergillus niger are evaluated and tested with respect to their production of Glucoamylase and proved to be suitable. The task is to find the mutant showing the highest enzyme activity with a given precision. Conventionally, this kind of multiple decision problem is handled by the analysis of variance (Model I), which tests the homogeneity of the population means, but in this case the results do not supply the desired information. Provided that the enzyme activities of the mutants are different, selection procedures can be used to choose the mutant with the “best” or at least a “good” level of activity. In this paper, a short methodical summary about the two classes of selection procedures is given, i.e. the indifference zone (and d-correct) procedures and the subset procedures. By the example of the selection of a mutant with high enzyme activity the planning of experiments is shown. Depending on suppositions about the variances, different selection rules are applied. Starting with the subset procedure of GUPTA, the number of mutants is reduced to seven. The following application of the d-correct procedures of BECHHOFER, DUNNETT and SOBEL allow us to calculate the necessary sample size of n = 49. Then the mutant whose sample has the largest mean will be selected as a “good” one with a given precision of d = 4 [u/l] and a probability of correct selection of (1–β) = 0.91 |
| Databáze: | OpenAIRE |
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