Research Article Open Access
Ogbulie and Nwaokorie, J Ecosys Ecograph 2016, S5
DOI: 10.4172/2157-7625.S5-002
Research Article Open Access
Journal of Ecosystem & Ecography
ISSN: 2157-7625
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J Ecosyst Ecogr Global Climate Change ISSN:2157-7625 JEE, an open access journal
Keywords: Microbes; Diversity; Degradative genes; Crude oil;
Agricultural soil; Sequence analysis
Introduction
Incidence of environmental pollution due to high rate of petroleum
related activities in Nigeria and other oil producing areas of the world
has been associated with frequent oil spills, especially through oil wells
blow out, tanker accidents and bunkering. Disasters arising from such
incidence results in the discharge of crude oil into the environment
afecting both soil, air and water bodies. Tis threatens human health
and that of organisms that are dependent on soil. Soil contains a
variety of microorganisms including bacteria that can be found in
any natural ecosystem. Microbial survival in polluted soil depends
on intrinsic biochemical and structural properties, physiological and
genetic adaptation including morphological changes of cells as well
as environmental modifcations [1]. Over the years, isolation and
identifcation of hydrocarbon-degrading microorganisms have been
carried out using isolation techniques. Previous studies on population
dynamics showed that bacteria genera such as Pseudomonas, Bacillus,
Brevibacterium, Corynebacterium, Acinetobacter and Mycobacterium
are potential organisms for hydrocarbon degradation [2-4]. Shi et al.
[5] compared culture-based diversity of agricultural soil communities
with diversity obtained by molecular means and found that molecular
methods revealed a much higher bacterial diversity than classical
isolation techniques.
A variety of molecular methods have been developed to assay the
presence of micro-organisms in soil. Most recently, the method of choice
to determine what micro-organisms are present in environmental
sample is to amplify the conserved small subunit rRNA gene; where
DNA is isolated from the soil using bead beating and Polymerase Chain
Reaction (PCR) with universal or gene-specifc primers used to amplify
the specifc gene from the sample. Tis study looked at the diversity of
microorganisms persistent in agricultural soil sample polluted with 100
ml of 100% Nigerian Bonny light crude oil and lef for four years with
a view to ascertain the presence of microbes with probable degradative
gene for crude oil degradation which can be harnessed for the creation
of superbugs for faster clean up opertaions and to confrm similarities
in microbial identities.
Material and Method
Procurement of samples
Te crude oil used was bonny light Crude and was collected
with sterile containers from Akiri in Oguta, Imo State, Nigeria. Te
agricultural soil subjected to pollution was obtained from Federal
University of Technology Owerri (FUTO) farm land using surface
sterilized soil auger at the depth of 15-30 cm.
Treatment of test soil sample
Surface sterilized plastic pot with no drainage holes was flled with
450 g of soil. Tereafer, 100 ml of crude oil was used to pollute the soil
and 300 ml of sterile water added biweekly following modifed method
*Corresponding author: Ogbulie TE, Department of Biotechnology, School of
Science, Federal University of Technology Owerri (FUTO) Imo State, Nigeria, Tel:
+2348035472379; E-mail:ogbulie_toochi@yahoo.com
Received August 15, 2015; Accepted February 09, 2016; Published February
17, 2016
Citation: Ogbulie TE, Nwaokorie FO (2016) Molecular Diversity of Microbes with
Probable Degradative Genes in Agricultural Soil Contaminated with Bonny Light
Crude Oil. J Ecosys Ecograph S5: 002. doi: 10.4172/2157-7625.S5-002
Copyright: © 2016 Ogbulie TE, 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.
Abstract
This study looked at the diversity of microorganisms persistent in agricultural soil sample polluted with 100 ml
of 100% Nigerian Bonny light crude oil left for four years. DNA from crude oil polluted agricultural soil sample was
extraction using ZYMO soil DNA extraction Kit. DNA sequencing was performed by Next Generation Sequencing
Technique [NGST] using automated PCR cycle- Genome Sequencer™ FLX System from 454 Life Sciences™ and
Roche Applied. Sequence analysis and alignment was performed using Vecton NTI suite 9 (InforMax, Inc.). The
resulting nucleotide sequences were compared to sequences obtained from GenBank by BLASTx analysis using
CLO Bio software as well as BLASTn using NCBI. Molecular Identities of microbial community was obtained by
creating different dendrograms. Gene sequencing carried out read 513 different nucleotide sequences. Seven phyla
with 47 corresponding culture-dependent species and 169 culture-independent bacteria clone were obtained. The
resultant tree showed cladogram of proteobacteria ( b and g - proteobacteria), bacteria/enterobacteria, frmicutes,
plantomycetes, acidobacteria group/ fbrobacteres, Bacteriodetes/chlorobi Actinobacteria/high G + C and chlorifexi
phyla. Furher taxonomical classifcation was carried out with reads of suffcient Q scores (> q30) and lengths and a
total of 420 read count of top kingdom classifcation of 100% bacteria kingdom was obtained. Proteobacteria phyla
of class betaproteobacteria, order Burkholderiales and family Comamonadaceae had the highest read count with
percentage diversity of 57.14%, 53.81%, 53.81 and 53.57% respectively. The nucleotide sequences with no hit (208)
was sent to Genbank for asigning of ascension number. The detection of these diverse organisms from crude oil
polluted agricultural soil left for four years, depict that the organism probably, have degradative genes which aided
their survival.
Molecular Diversity of Microbes with Probable Degradative Genes in
Agricultural Soil Contaminated with Bonny Light Crude Oil
Ogbulie TE
1
* and Nwaokorie FO
2
1
Department of Biotechnology, School of Science, Federal University of Technology Owerri (FUTO), Imo State, Nigeria
2
Molecular biology and Biotechnology Division, Nigerian Institute for Medical Research [NIMR], Yaba Lagos State, Nigeria