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The use of multivariate analysis for the design of selective isolation conditions for mutants of Streptomyces cattleya with improved antibiotic titre
Author(s) -
Onadipe Adekunle O.,
Bushell Michael E.
Publication year - 1987
Publication title -
journal of chemical technology and biotechnology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.64
H-Index - 117
eISSN - 1097-4660
pISSN - 0268-2575
DOI - 10.1002/jctb.280390405
Subject(s) - titer , population , biology , antibiotics , streptomyces , isolation (microbiology) , mutant , principal component analysis , selection (genetic algorithm) , strain (injury) , microbiology and biotechnology , genetics , bacteria , statistics , mathematics , gene , medicine , computer science , antibody , machine learning , environmental health , anatomy
Twenty‐three tests which did not include antibiotic production were carried out on ultraviolet‐induced mutants of Streptomyces cattleya NRRL 8057. Principal component analysis of the results indicated the taxometric relationships between members of a population consisting of 77 isolates. Highlitre antibiotic producers were then marked on the population distribution diagram and clusters containing high‐titre antibiotic producers noted. Discriminant analysis for the high‐titre clusters provided a discriminant function which was derived from data from seven of the tests. These were used to formulate a positive selection procedure which was successful in selecting for a population of mutants which contained a significantly higher number of high‐titre isolates than a control population.