Optimization of Spore and Antifungal Lipopeptide Production During the Solid-state Fermentation of <Emphasis Type="Italic">Bacillus subtilis</Emphasis> |
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Authors: | Scott W Pryor Donna M Gibson Anthony G Hay James M Gossett Larry P Walker |
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Institution: | (1) Department of Biological and Environmental Engineering, Cornell University, Riley-Robb Hall, Ithaca, NY 14853, USA;(2) USDA ARS Plant Protection Research Unit, Ithaca, NY 14853, USA;(3) Department of Microbiology, Cornell University, Ithaca, NY 14853, USA;(4) School of Civil and Environmental Engineering, Cornell University, Ithaca, NY 14853, USA;(5) Present address: Agricultural and Biosystems Engineering Department, North Dakota State University, Fargo, ND 58105, USA |
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Abstract: | Bacillus subtilis strain TrigoCor 1448 was grown on wheat middlings in 0.5-l solid-state fermentation (SSF) bioreactors for the production
of an antifungal biological control agent. Total antifungal activity was quantified using a 96-well microplate bioassay against
the plant pathogen Fusarium oxysporum f. sp. melonis. The experimental design for process optimization consisted of a 26−1 fractional factorial design followed by a central composite face-centered design. Initial SSF parameters included in the
optimization were aeration, fermentation length, pH buffering, peptone addition, nitrate addition, and incubator temperature.
Central composite face-centered design parameters included incubator temperature, aeration rate, and initial moisture content
(MC). Optimized fermentation conditions were determined with response surface models fitted for both spore concentration and
activity of biological control product extracts. Models showed that activity measurements and spore production were most sensitive
to substrate MC with highest levels of each response variable occurring at maximum moisture levels. Whereas maximum antifungal
activity was seen in a limited area of the design space, spore production was fairly robust with near maximum levels occurring
over a wider range of fermentation conditions. Optimization resulted in a 55% increase in inhibition and a 40% increase in
spore production over nonoptimized conditions. |
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Keywords: | Solid-state fermentation Optimization B subtilis Lipopeptides Spores Biocontrol |
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