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

Abstract

Ime Udotong, Mfoniso Uko and Justina Udotong

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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