Rosli Md. Illias

Commercial cellulases and hemicellulase performance towards oil palm empty fruit bunch (OPEFB) hydrolysis

In this work, commercial cellulases and hemicellulases were evaluated for their hydrolytic activity towards pretreated oil palm empty fruit bunches (OPEFB). A total of three commercial cellulase preparations, Novozyme Celluclast®, Novozyme Cellic®Ctec, Dupont Accellerase®1500, and a commercial hemicellulase preparation, Novozyme Cellic®Htec, were evaluated. The assays were performed either using the cellulase alone or cellulase in combination with the hemicellulase, formulated at different enzyme activity ratios. Among the three cellulases, the Novozyme Cellic®Ctec yielded the highest reducing sugars, whereby 32.9% hydrolysis yield of OPEFB was achieved. The addition of the commercial hemicellulase to Celluclast® and Accellerase®1500 enhanced OPEFB hydrolysis. However, the addition of the hemicellulase to Cellic®Ctec, failed to enhance the production of the reducing sugars. Nevertheless, the amount of reducing sugars produced using Cellic®Ctec alone was the highest when compared to other enzyme combinations. It can be concluded that among the three commercial cellulases evaluated, the Novozyme Cellic®Ctec is the best enzyme for OPEFB hydrolysis.

Computational discovery of small open reading frames in Bacillus lehensis

Bacillus lehensis is a Gram-positive and endospore-forming alkalitolerant bacterial strain. In recent years there has been increasing interest in alkaliphilic bacteria and their ability to grow under extreme conditions as well as their ability to serve various important functions in industrial biology especially enzyme production. Small open reading frames (sORFs) have emerged as important regulators in various biological roles such as tumor progression, hormone signalling and stress response. Over the past decade, many biocomputational tools have been developed to predict genes in bacterial genomes. In this study, three softwares were used to predict sORF (≤ 80 aa) in B. lehensis by using whole genome sequence. We used comparative analysis to identify the sORFs in B. lehensis that conserved across all other bacterial genomes. We extended the analysis by doing the homology analysis against protein database. This study established the sORFs in B. lehensis that are conserved across bacteria which might has ...