Ibrahim Ali, Noorbatcha and Hamzah, Mohd. Salleh (2017) NGS-data analysis for netagenome cellulose- and Xylan- degrading enzymes finding. In: Asian Regional Conference on Systems Biology 2017 (ARCSB2017), Putrajaya Marriott Hotel, Malaysia. (Unpublished)
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Abstract
Abstract. For the aim of finding cellulose- and xylan-degrading enzymes needed in green industry to produce biofuel from plant biomass, a metagenomic DNA library from palm oil mill effluent (POME) was constructed and high-throughputly screened. The positive clones’ DNA were sequenced with next generation sequencing and raw data (short insert-paired) was analyzed with bioinformatic tools. First, the quality of 64.821.599 reverse and forward sequences of 101bp length raw data was identified using Fastqc. Then, raw data filtering was done by trimming low quality values and short reads and the vector sequences were removed and again the output was checked and the trimming was repeated until a high quality read sets was obtained. The second step was the de novo assembly of sequences to reconstruct 2900 contigs following de bruijn graph algorithm. Pre-assembled contigs were arranged in order, the distances between contigs were identified and oriented with SSPACE, where 2139 scaffolds have been reconstructed. 16386 genes have been identified after gene prediction using Prodigal and putative ID assignment with Blastp Vs NR protein. In these results, 17 cellulose-degrading enzymes and 2 xylan-degrading enzymes have been found. The genes encoding these enzymes will be recombinant to pBAD TOPO vector and cloned into TOP10 E. coli to express and characterize the enzymes for downstream processes. Key words: metagenomics, contig, scaffold, de novo assembly, de Bruijn, SSPACE, Prodigal, Blastp.
Item Type: | Conference or Workshop Item (Slide Presentation) |
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Subjects: | T Technology > TP Chemical technology > TP248.13 Biotechnology |
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): | Kulliyyah of Engineering > Department of Biotechnology Engineering |
Depositing User: | Prof. Dr. Ibrahim Ali Noorbatcha |
Date Deposited: | 03 Feb 2018 16:49 |
Last Modified: | 03 Feb 2018 16:50 |
URI: | http://irep.iium.edu.my/id/eprint/61696 |
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