Saudi Journal of Biological Sciences · 2020 · 38 citations · 39 references
Life SciencesBiotechnologyMicrobiologyAquatic MicrobiologyMicrobial BiotechnologyMicrobial MetabolismBacterial CultivationBioprocess OptimizationEnvironmental Microbial BiotechnologyMicrobial BiocatalysisMicrobial Enzyme ProductionStrain ImprovementCellulase ActivityCellulase EnzymesCellulase ProductionCellulose DegradationCellulose HydrolysisCulture Medium FormulationCulture Medium OptimizationEnzyme Activity
Due to their vast industrial potential, cellulases have been regarded as the potential biocatalysts by both the academicians and the industrial research groups. In the present study, culturable bacterial strains of Himalayan Urban freshwater lake were investigated for cellulose degrading activities. Initially, a total of 140 bacterial strains were isolated and only 45 isolates were found to possess cellulose degrading property. On the basis of preliminary screening involving cellulase activity assay on CMC agar (with clear zone of hydrolysis) and biosafety assessment testing, only single isolate named as BKT-9 was selected for the cellulase production studies. Strain BKT-9 was characterized at the molecular level using rRNA gene sequencing and its sequence homology analysis revealed its identity as Aneurinibacillus aneurinilyticus. Further, various physico-chemical parameters and culture conditions were optimized using one factor approach to enhance cellulase production levels in the strain BKT-9. Subsequently, RSM based statistical optimization led to formulation of cellulase production medium, wherein the bacterial strain exhibited ~60 folds increase in enzyme activity as compared to un-optimized culture medium. Further studies are being suggested to scale up cellulase production in A. aneurinilyticus strain BKT-9 so that it can be utilized for biomass saccharification at an industrial level.
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CONFIDENCE LIMITS ON PHYLOGENIES: AN APPROACH USING THE BOOTSTRAP
Joseph Felsenstein · Evolution · 1985 · 41.5K citations · Full text
MEGA X: Molecular Evolutionary Genetics Analysis across Computing Platforms
Sudhir Kumar, Glen Stecher, Michael Li et al. · Molecular Biology and Evolution · 2018 · 38.8K citations · Full text