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Effect of Site-Directed Mutagenesis on the Efficiency of the Amylase Gene of B. Licheniformis

Thesis Info

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Author

Ashraf, Muhammad Adnan

Program

PhD

Institute

University of Agriculture

City

Faisalabad

Province

Punjab

Country

Pakistan

Thesis Completing Year

2018

Thesis Completion Status

Completed

Subject

Microbiology

Language

English

Link

http://prr.hec.gov.pk/jspui/bitstream/123456789/12648/1/Muhammad%20Adnan%20Asharaf_Microbio_2018_UAF_PRR.pdf

Added

2021-02-17 19:49:13

Modified

2024-03-24 20:25:49

ARI ID

1676725997267

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Bacillus α-amylases are widely used in industrial processes. Nevertheless, there is a need to improve the temperature tolerance of α-amylases as high temperature conditions are used in many industrial processes. In this study, various isolates of Bacillus licheniformis (B. licheniformis) were recovered from soil using potatoes (Solanum tumberosum) and sweet potatoes (Ipoema batatas) for baiting. Isolates were identified using common morphological techniques and biochemical tests with an API kit. B. licheniformis isolates for further study were selected on the basis of high α-amylase production. The α-amylase gene was cloned in plasmid pTBSG1 and characterized. Mutations to be introduced for enhancing α-amylase stability were predicted by in-silico design using various computational tools: Rosetta, the disulfide design server and the RosettaVIP tool. The disulfide design server identified five double mutants for mutagenesis to cysteine residues as follows: L64C/K80C, E119C/S130C, G433C/G474C, T139C/W157C and Y396C/D416C. A sixth mutant, V283I, was predicted with the RosettaVIP tool. The various mutants were prepared with the Phusion site-directed mutagenesis kit with the help of modified primers. Wild-type and mutants were then recombinantly expressed in E. coli BL21 (DE3) and characterized and compared to wild-type enzyme. Wild-type and mutant enzymes were pre-incubated at 45 ºC to 85 ºC and residual activities were found to not vary significantly till 55 ºC (P-value > 0.05). On the other hand, at 65 ºC, 75 ºC and 85 ºC, mutant V283I showed significantly improved thermostability (P-value < 0.05). Among the double mutants, G433C/G474C was found to have highest thermostability in terms of thermal inactivation (P < 0.05). This study shows that the rational design and introduction of substitution mutations leading to the formation of disulfide bonds and increased hydrophobic interactions has high potential for improving the thermal stability of α-amylases.
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SURVEY ON PARTICIPATION IN PHYSICAL ACTIVITY PROGRAM, PERCEPTIONS AND BARRIERS AMONG YOUNG FEMALES

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Stress testing banks using the new Keynesian DSGE framework

The frequent occurrence of financial crises and specifically the 2007-08 subprime global financial crisis brought a series of major macroprudential reforms in the regulation of financial institutions and markets. Among such reforms is to periodically gauge the resilience of institutions through stress testing and to mitigate system-wide risks. Stress testing is a risk management process in which various historical and hypothetical shocks are applied to test the resilience in worst-case scenarios. Over a period, there have been major advances in global financial markets and increased complexity in financial instruments and risk identification. As a result, stress testing methodologies have also improved from basic sensitivity analysis to sophisticated partial equilibrium models. The study employs the Dynamic Stochastic General Equilibrium (DSGE) model calibrated for Pakistan using the quarterly data for 02:2002 - 02: 2018. The DSGE model constructed three shock scenarios of technology, demand preference, and monetary policy and produced stressed forecasts. These forecasts were later used in the VAR model to come up with the future path of credit risk indicator (GNPLR) of the banks. Similarly, the forecasts based on VAR was also computed. It was found that the DSGE based stressed forecast of GNPLR tends to be slightly higher in the initial quarter and as time horizon increases, the deviation between forecasts tends to grow. It is expected that as DSGE models grow in coverage and include financial sector and risk transmission channels, there will be greater acceptability of these sophisticated measures in stress testing the banking sector