Please use this identifier to cite or link to this item: http://repository.elizadeuniversity.edu.ng/jspui/handle/20.500.12398/1236
Title: Detection of carbohydrate-active enzymes and genes in a spent engine oil-perturbed agricultural soil
Authors: Salam, Lateef B.
Keywords: Spent engine oil,
Agricultural soil,
Soil microcosm,
Illumina sequencing,
Carbohydrate metabolism,
Carbohydrate-active enzymes,
Microbial enzymes and genes
Issue Date: Aug-2018
Publisher: Bulletin of the National Research Centre
Citation: Salam, L. B. (2018). Detection of carbohydrate-active enzymes and genes in a spent engine oil-perturbed agricultural soil. Bulletin of the National Research Centre, 42(1). doi:10.1186/s42269-018-0013-6
Abstract: Background: The purpose of this study is to decipher the diverse carbohydrate metabolism pathways in a spent engine oil-perturbed agricultural soil, enunciate the carbohydrate-active enzymes and genes involved in the process, taxonomically classify the annotated enzymes and genes, and highlight the importance of the study for ecological and biotechnological processes. Results: Functional analysis of the metagenome of spent engine oil (SEO)-contaminated agricultural soil (AB1) using the Kyoto Encyclopedia of Genes and Genomes (KEGG) GhostKOALA, Cluster of Orthologous Groups (COG) of proteins, the Carbohydrate-Active Enzymes (CAZy) database, and the NCBI’s conserved domain database (CDD) revealed extensive metabolism of carbohydrates via diverse carbohydrate-active enzymes and genes. Enzymes and genes annotated for glycolysis/gluconeogenesis pathway, citric acid (TCA) cycle, pentose phosphate pathway, and pyruvate metabolism, among others, were detected, and these were not detected in the original agricultural soil (1S). Analysis of carbohydrate-active enzymes, using the CAZy database, showed 45 CAZy families with preponderance of glycoside hydrolases (GHs, 46.7%), glycosyltransferases (GTs, 24.4%), and carbohydrate-binding modules (CBMs, 15.5%). Taxonomic classification of the annotated enzymes and genes for carbohydrate metabolism using the GhostKOALA and CAZy databases revealed the predominance of the phylum Proteobacteria with the representative genera Pseudomonas (18%), Sphingobium (13.5%), and Sphingomonas (4.5%), respectively. Biotechnologically important enzymes such as xylanases, endoglucanases, α- and β-glucosidases and glycogen debranching enzymes were also retrieved from the metagenome. Conclusions: This study revealed the presence of diverse carbohydrate-active enzymes and genes mediating various carbohydrate metabolism pathways in the SEO-perturbed soil metagenome. It also reveals the detection of biotechnologically important enzymes with potentials for industrial use.
Description: Staff Publication
URI: https://doi.org/10.1186/s42269-018-0013-6
http://repository.elizadeuniversity.edu.ng/jspui/handle/20.500.12398/1236
Appears in Collections:Research Articles

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