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Characterization and application of a detergent-stable alkaline α-amylase from Bacillus subtilis strain AS-S01a.

Jetendra K Roy | Sudhir K Rai | Ashis K Mukherjee
International journal of biological macromolecules | 2012

A strain AS-S01a, capable of producing high-titer alkaline α-amylase, was isolated from a soil sample of Assam, India and was taxonomically identified as Bacillus subtilis strain AS-S01a. Optimized α-amylase yield by response surface method (RSM) was obtained as 799.0 U with a specific activity of 201.0 U/mg in a process control bioreactor. A 21.0 kDa alkaline α-amylase purified from this strain showed optimum activity at 55°C and pH 9.0, and it produced high molecular weight oligosaccharides including small amount of glucose from starch as the end product. The K(m) and V(max) values for this enzyme towards starch were determined as 1.9 mg/ml and 198.21 μmol/min/mg, respectively. The purified α-amylase retained its activity in presence of oxidant, surfactants, EDTA and various commercial laundry detergents, thus advocating its suitability for various industrial applications.

Pubmed ID: 22085756

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RRID:SCR_000667

Software integrated tool for conducting automatic and manual sequence alignment, inferring phylogenetic trees, mining web based databases, estimating rates of molecular evolution, and testing evolutionary hypotheses. Used for comparative analysis of DNA and protein sequences to infer molecular evolutionary patterns of genes, genomes, and species over time. MEGA version 4 expands on existing facilities for editing DNA sequence data from autosequencers, mining Web-databases, performing automatic and manual sequence alignment, analyzing sequence alignments to estimate evolutionary distances, inferring phylogenetic trees, and testing evolutionary hypotheses. MEGA version 6 enables inference of timetrees, as it implements RelTime method for estimating divergence times for all branching points in phylogeny.

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