Metagenomics as a preliminary screen for antimicrobial bioprospecting
AuthorsAl Amoudi, Soha
Mohamad Razali, Rozaimi
Amini, Mohammad Shoaib
Archer, John A.C.
Lafi, Feras Fawzi
Bajic, Vladimir B.
KAUST DepartmentComputational Bioscience Research Center (CBRC)
Chemical and Biological Engineering Program
Biological and Environmental Sciences and Engineering (BESE) Division
Applied Mathematics and Computational Science Program
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Online Publication Date2016-09-16
Print Publication Date2016-12
Permanent link to this recordhttp://hdl.handle.net/10754/622014
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AbstractSince the composition of soil directs the diversity of the contained microbiome and its potential to produce bioactive compounds, many studies has been focused on sediment types with unique features characteristic of extreme environments. However, not much is known about the potential of microbiomes that inhabit the highly saline and hot Red Sea lagoons. This case study explores mangrove mud and the microbial mat of sediments collected from the Rabigh harbor lagoon and Al Kharrar lagoon for antimicrobial bioprospecting. Rabigh harbor lagoon appears the better location, and the best sediment type for this purpose is mangrove mud. On the other hand, Al Kharrar lagoon displayed increased anaerobic hydrocarbon degradation and an abundance of bacterial DNA associated with antibiotic resistance. Moreover, our findings show an identical shift in phyla associated with historic hydrocarbon contamination exposure reported in previous studies (that is, enrichment of Gamma-and Delta-proteobacteria), but we also report that bacterial DNA sequences associated with antibiotic synthesis enzymes are derived from Gamma-, Delta-and Alpha-proteobacteria. This suggests that selection pressure associated with hydrocarbon contamination tend to enrich the bacterial classes DNA associated with antibiotic synthesis enzymes. Although Actinobacteria tends to be the common target for research when it comes to antimicrobial bioprospecting, our study suggests that Firmicutes (Bacilli and Clostridia), Bacteroidetes, Cyanobacteria, and Proteobacteria should be antimicrobial bioprospecting targets as well. To the best of our knowledge, this is the first metagenomic study that analyzed the microbiomes in Red Sea lagoons for antimicrobial bioprospecting. (C) 2016 The Authors. Published by Elsevier B.V.
CitationAl-Amoudi S, Razali R, Essack M, Amini MS, Bougouffa S, et al. (2016) Metagenomics as a preliminary screen for antimicrobial bioprospecting. Gene 594: 248–258. Available: http://dx.doi.org/10.1016/j.gene.2016.09.021.
SponsorsThis publication is based upon work supported by the King Abdullah University of Science and Technology (KAUST) Office of Sponsored Research (OSR) under Awards No URF/1/1976-02 and FCS/1/2448-01.
CollectionsArticles; Biological and Environmental Sciences and Engineering (BESE) Division; Applied Mathematics and Computational Science Program; Chemical Engineering Program; Computational Bioscience Research Center (CBRC); Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Except where otherwise noted, this item's license is described as Archived with thanks to Gene. Under a Creative Commons license http://creativecommons.org/licenses/by-nc-nd/4.0/