Efficient and Supplementary Enzyme Cocktail from Actinobacteria and Plant Biomass Induction
Actinobacteria plays a key role in the cycling of organic matter in soils. They secret biomass‐degrading enzymes that allow it to produce the unique metabolites that originate in plant biomass. Although past studies have focused on these unique metabolites, a large‐scale screening of Actinobacteria...
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Veröffentlicht in: | Biotechnology journal 2019-03, Vol.14 (3), p.e1700744-n/a |
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Sprache: | eng |
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Zusammenfassung: | Actinobacteria plays a key role in the cycling of organic matter in soils. They secret biomass‐degrading enzymes that allow it to produce the unique metabolites that originate in plant biomass. Although past studies have focused on these unique metabolites, a large‐scale screening of Actinobacteria is yet to be reported to focus on their biomass‐degrading ability. In the present study, a rapid and simple method is constructed for a large‐scale screening, and the novel resources that form the plant biomass‐degrading enzyme cocktail are identified from 850 isolates of Actinobacteria. As a result, Nonomuraea fastidiosa secretes a biomass degrading enzyme cocktail with the highest enzyme titer, although cellulase activities are lower than a commercially available enzyme. So the rich accessory enzymes are suggested to contribute to the high enzyme titer for a pretreated bagasse with a synergistic effect. Additionally, an optimized cultivation method of biomass induction caused to produce the improved enzyme cocktail indicated strong enzyme titers and a strong synergistic effect. Therefore, the novel enzyme cocktails are selected via the optimized method for large‐scale screening, and then the enzyme cocktail can be improved via the optimized production with biomass‐induction.
Actinobacteria lives in a variety of environments, and they produce from a plant biomass to carbon sources via various enzymes. So they are screened for a biomass degrading enzyme cocktail with a higher titer. The proposed study performed screening, production, and tests using a model plant biomass. |
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ISSN: | 1860-6768 1860-7314 |
DOI: | 10.1002/biot.201700744 |