alexa Use of 16S rDNA Sequencing to Determine Procaryotic Diversity of a Remote Aviation Fuel-Polluted Lentic Ecosystem in Ibeno, Nigeria
ISSN: 2161-0525

Journal of Environmental & Analytical Toxicology
Open Access

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Research Article

Use of 16S rDNA Sequencing to Determine Procaryotic Diversity of a Remote Aviation Fuel-Polluted Lentic Ecosystem in Ibeno, Nigeria

Ime Udotong1*, Mfoniso Uko1 and Justina Udotong2

1Department of Microbiology, University of Uyo, Uyo, Akwa Ibom State, Nigeria

2Department of Biochemistry, University of Uyo, Uyo, Akwa Ibom State, Nigeria

*Corresponding Author:
Ime Udotong
Department of Microbiology, University
of Uyo, Uyo, Akwa Ibom State, Nigeria
Tel: +2348146129875
E-mail: [email protected]

Received Date: July 12, 2017 Accepted Date: July 17, 2017 Published Date: July 22, 2017

Citation: Udotong I, Uko M, Udotong J (2017) Use of 16S rDNA Sequencing to Determine Procaryotic Diversity of a Remote Aviation Fuel-Polluted Lentic Ecosystem in Ibeno, Nigeria. J Environ Anal Toxicol 7: 493. doi: 10.4172/2161- 0525.1000493

Copyright: © 2017 Udotong I, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.



Ibeno, the operational base of Mobil Producing Nigeria Unlimited, a subsidiary of ExxonMobil, Nigeria remains one of the most impacted communities by oil and gas activities in the Niger Delta region of Nigeria. Lotic and lentic systems in the region which residents rely on, receive petroleum hydrocarbon inputs almost daily due to oil spills and oily wastes discharges from operators and bunkering activities. This research was carried out to determine the prokaryotic diversity in a remote aviation fuel-polluted lentic ecosystem after 16 years of pollution using metagenomic approaches. DNA extraction from the water samples was carried out using MoBio DNA extraction Kits following the manufacturer’s instructions. Extracted DNA fragments were quantified using picogreen and by recording their UV absorption spectra using NanoDrop spectrophotometer. 16S rDNA sequencing was carried out on a Miseq Illumina sequencing platform and Quantitative Insight Into Microbial Ecology (QIIME) bioinformatics pipeline. Analyses revealed the dominance of bacterial and archaeal communities in both polluted and unpolluted water samples. The polluted sample had 93.83% bacterial and 3.43% archaeal population while the control sample revealed 58.05% bacterial and 39.69% archaeal population. Dominant bacterial phyla from the polluted samples were Proteobacteria, Firmicutes, Actinobacteria, Cyanobacteria, and Chloroflexi while dominant phyla in the unpolluted samples were Proteobacteria, Firmicutes and Actinobacteria. Dominant archaeal phyla from both polluted and unpolluted waters were Euryarchaeota and Crenarchaeota. The use of 16S rDNA metagenomic approach revealed a wide variety of bacterial and archaeal diversity from both polluted and control sites, thus revealing the true ecological status of both sites.


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