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Int. J. Life. Sci. Scienti. Res. eISSN: 2455-1716
Udotong et al., 2018
DOI:10.21276/ijlssr.2018.4.4.12
Copyright © 2015 - 2018| IJLSSR by Society for Scientific Research under a CC BY-NC 4.0 International License Volume 04 | Issue 04 | Page 1940
Microbial, Hydrobiological Indicators and Physicochemical
Characteristics of a Remote Aviation Fuel-Contaminated Lentic
System in Ibeno, Nigeria
Justina Ime R. Udotong
1*
, Ime R. Udotong
2
, Unyime P. Udoudo
3
1
Senior Lecturer, Department of Biochemistry, Faculty of Basic Medical Sciences, University of Uyo, Uyo, Akwa Ibom
State, Nigeria
2
Professor, Department of Microbiology, Faculty of Science, University of Uyo, Uyo, Akwa Ibom State, Nigeria
3
Postgraduate Student, Department of Fisheries and Aquatic Environmental Management, Faculty of Agriculture,
University of Uyo, Uyo, Akwa Ibom State, Nigeria
*Address for Correspondence: Dr. Justina Ime R. Udotong, Senior Lecturer, Department of Biochemistry, Faculty of
Basic Medical Sciences, University of Uyo, Uyo, Akwa Ibom State, Nigeria
Received: 15 Feb 2018/ Revised: 30 April 2018/ Accepted: 22 June 2018
ABSTRACT
This research paper presents the microbial and hydrobiological indicators and the physicochemical quality of water samples from
a lentic ecosystem in Ibeno LGA, Nigeria, after sixteen (16) years of an aviation fuel spill. Using culture-dependent methodologies,
the hydrocarbonoclastic bacterial and fungal counts (HBC & HFC) ranged from 3.4 x 10
4
to 1.2 x 10
5
cfu/l and 4.7 x 10
3
to 1.8 x 10
4
cfu/l, respectively with the ratios of total heterotrophic bacterial counts to HBC and total fungal counts to HFC ranging from 8 to
12% and 15 to 22%, respectively. Predominant bacterial indicators included Pseudomonas aeruginosa, Bacillus subtilis,
Micrococcus varians and Enterobacter aerogenes while predominant fungal indicators included Aspergillus niger, A. terreus,
Candida sp, Saccharomyces sp, Phoma sp. and Botrytis sp. Predominant zooplanktons in the sampled area were rotatoria while
the least were nematodes and followed the trend: Rotatoria > Copepoda > Cladocera > Nematoda. Water samples from the area
showed evidence of oil sheen when disturbed; with pH values (6.2 to 7.8) tending generally towards neutral. Total petroleum
hydrocarbon (TPH) from this aviation fuel-contaminated lentic system ranged from 81.5 mg/l to 505.2 mg/l. Dissolved oxygen
(DO) were generally low with high BOD and COD of 46.3 mg/l and 321.1mg/l, respectively. Other physicochemical parameters
were typical of lentic ecosystems in the Niger Delta region, Nigeria. The impact of this and many other spills are enormous. This
confirms that it takes a long time for recovery once the environment is polluted.
Key-words: Aquatic pollution, Aviation fuel, Hydrobiological parameters, Hydrocarbonoclastic Microorganisms, Lentic ecosystem,
Physicochemical characteristics
INTRODUCTION
Oil spills occur in the Niger Delta environment almost on
a daily basis as a result of a number of causes including
well blow-out, pipeline rupture, sabotage, equipment
failure, etc. According to Udotong [1]
, Leonardi et al. [2]
,
and Udotong et al. [3]
there are therefore a number of
oil-contaminated sites in the region.
How to cite this article
Udotong JIR, Udotong IR, Udoudo UP. Microbial, Hydrobiological
Indicators and Physicochemical Characteristics of a Remote
Aviation Fuel-Contaminated Lentic System in Ibeno, Nigeria. Int. J.
Life. Sci. Scienti. Res., 2018; 4(4): 1940-1945.
Access this article online
www.ijlssr.com
On 8th
August 2001, the 30-year-old 4” QIT-Jetty Aviation
fuel pipeline ruptured resulting in the spillage of about
1,000 barrels of Aviation fuel into the environment of
Inua Eyet Ikot in Ibeno local government area of Akwa
Ibom State, Nigeria. The aviation fuel spillage continued
at high pressure for more than 3 hours before it was
stopped. The spilled aviation fuel drained into Akpauchat
swamp, a lentic ecosystem in Ibeno in the Niger Delta
region of Nigeria. The clean-up effort embarked upon by
the company involved the use of dispersants, after which
no other remediation method has been attempted. This
article presents the microbial and hydrobiological
indicators and the physicochemical characteristics of
water samples from this lentic system contaminated by
aviation fuel after sixteen (16) years of the spill.
Research Article
Int. J. Life. Sci. Scienti. Res. eISSN: 2455-1716
Udotong et al., 2018
DOI:10.21276/ijlssr.2018.4.4.12
Copyright © 2015 - 2018| IJLSSR by Society for Scientific Research under a CC BY-NC 4.0 International License Volume 04 | Issue 04 | Page 1941
Water samples from this contaminated lentic system in
Ibeno in the Niger Delta region of Nigeria were
characterized using standard methods, sixteen years
after aviation fuel spill; with a view to documenting
predominant microbial and hydrobiological indicators
and physicochemical characteristics of such remote
Aviation fuel-contaminated site.
MATERIALS AND METHODS
Description of study area and sample collection- The
aviation fuel-contaminated site is located at No 65A
Qua
Iboe Terminal (QIT) road at Inua Eyet Ikot village in Ibeno
LGA of Akwa Ibom State, Nigeria (Fig. 1). The spill site lies
within Longitude 7o
30’ to 8o
00’
E and Latitude 4o
30’
to
40
45’N on the South Eastern Nigerian Coastline. The
study site (Fig. 2) is a swamp and thus a lentic system.
Field sampling for this study was embarked upon from
25th
April 2016 to 2nd
August 2016. Water samples were
collected at three (3) locations from this aviation fuel-
contaminated site using sterile plastic containers for
microbiological, hydrobiological and physicochemical
analyses. The samples for microbiological analyses were
stored in ice-packed coolers and were transported to the
Microbiology Laboratory for analyses. These and other
samples for physicochemical and hydrobiological
analyses were transported to the Fisheries and
Hydrobiology Laboratory of University of Uyo, Uyo,
Nigeria for analyses.
Fig. 1: Map of Akwa Ibom State showing Sampling location at Ibeno
Microbiological Analysis
Ten-fold serial dilution of samples, inoculation, and
incubation- Serial ten-fold dilutions of each of the
samples were prepared according to the methods of
Collins and Lyne [4]
and Harrigan and McCance [5]
.
Appropriate dilutions were inoculated onto appropriate
nutrient media and were incubated. Hydrocarbonoclastic
microorganisms were determined using the mineral salt
medium (MSM) as described by Okpokwasili and Okorie
[6]
. After incubation, discrete microbial colonies were
counted and multiplied by the reciprocal of the dilution
factor and expressed in colony forming units per millilitre
(cfu/l) and their respective cultural morphologies were
observed and recorded.
Purification and maintenance of pure culture of
isolates- Discrete colonies were purified by repeated
sub-culture onto appropriate nutrient media. Pure
cultures were preserved on nutrient agar slants and
stored in the refrigerator for further characterization and
identification.
Int. J. Life. Sci. Scienti. Res. eISSN: 2455-1716
Udotong et al., 2018
DOI:10.21276/ijlssr.2018.4.4.12
Copyright © 2015 - 2018| IJLSSR by Society for Scientific Research under a CC BY-NC 4.0 International License Volume 04 | Issue 04 | Page 1942
Fig. 2: The aviation fuel-contaminated site
Characterization and identification of microbial isolates-
Pure cultures of microbial isolates were identified based
on cultural parameters, microscopic techniques and
biochemical tests including carbohydrate utilization
(Cruickshank et al.) [7]
. Identification of the bacterial
isolates was accomplished by comparing the
characteristics of the cultures with that of known taxa as
in Holt et al. [8]
. Characterization and identification of
fungal isolates were carried out as in Domsch et al. [9]
and Hunter [10]
.
Analyses for hydrobiological indicators- Characterization
of the limnological indicators of this system was carried
out. The periphyton removed from substrata were fixed
and preserved in 0.5% acetic lugol, except for samples
for determination of diatoms, which were preserved in
4% formalin. Techniques of oxidization and preparation
of permanent slides of diatoms followed the method of
Simonsen [11]
. After this taxonomic analysis, organisms
were quantified using an inverted microscope at 400X,
according to methods of Utermöhl [12]
. Additional counts
were made on permanent slides (100 individuals) to
differentiate very similar diatom species as
recommended by Biggs [13]
.
The classification system used was that of Round [14]
. The
systematic arrangement and generic diagnoses followed
Bourrelly [15]
, except for the classes Cyanophyceae and
Bacillariophyceae, which were classified according to
Gleitler [16]
and Krammer & Lange-Bertalot [17]
,
respectively. Counting of phytoplankton was done by the
direct census method of Jhingran et al. [18]
. The rates of
primary production of the surface water were estimated
as per the standard "Light and dark bottle method"
(Gaarder & Gran) [19]
.
Physicochemical analysis of water samples- Water
quality parameters viz., temperature, suspended
particulate matter (SPM), transparency, salinity, pH,
carbon dioxide, alkalinity, dissolved oxygen (DO),
chemical oxygen demand (COD) and nutrients (nitrate,
ammonia, phosphate and silicate) were determined
following standard methods (APHA; FWPCA; Philbert;
Strickland and Parson) [20-23]
. Extinction coefficient (Kt)
was estimated from the formula, Kt = 1.44/Secchi depth
in meter Holmes [24]
. For the collection of phytoplankton,
five liters of water were collected in a plastic bottle and
fixed with Lugol's iodine.
RESULTS
Microbiological Indicators- The results of total
heterotrophic bacterial and fungal counts (THBC & TFC)
ranged from 3.4 x 104
to 1.2 x 105
cfu/l and 4.7 x 103
to
1.3 x 104
cfu/l, respectively with the ratios of
hydrocarbonoclastic bacterial counts to THBC (HBC
/THBC) and Hydrocarbonoclastic fungal counts to total
fungal counts (HFC/TFC) ranging from 8% to 12% and
15% to 22%, respectively (Table 1).
Int. J. Life. Sci. Scienti. Res. eISSN: 2455-1716
Udotong et al., 2018
DOI:10.21276/ijlssr.2018.4.4.12
Copyright © 2015 - 2018| IJLSSR by Society for Scientific Research under a CC BY-NC 4.0 International License Volume 04 | Issue 04 | Page 1943
Table 1: Microbial Counts of Remote Aviation fuel-contaminated lentic system
Sample Code THBC (cfu/ml) HBC (cfu/ml) HBC/THBC TFC (cfu/ml) HFC (cfu/ml) HFC/TFC
AFW – 1 5.8 x 104
5.8 x 103
10% 6.4 x 103
1.2 x 103
19%
AFW – 2 1.2 x 105
1.4 x 104
12% 1.3 x 104
2.9 x 103
22%
AFW – 3 3.4 x 104
2.7 x 103
8% 4.7 x 103
7.1 x 102
15%
Legend: THBC- Total Heterotrophic Bacterial count; HBC- Hydrocarbonoclastic Bacterial Count; TFC- Total Fungal Count;
HFC- Hydrocarbonoclastic Fungal Count
Predominant Microbial Isolates- Predominant bacterial
indicators isolated from this remote aviation
fuel-contaminated lentic system were Pseudomonas
aeruginosa, Bacillus subtilis, Micrococcus varians,
Enterobacter aerogenes and Aeromonas sp while
predominant fungal indicators isolated were Aspergillus
niger, A. terreus, Candida sp, Saccharomyces sp, Phoma
sp and Botrytis sp.
Hydrobiological Indicators- Diatoms were the most
abundant phytoplankton group in this aviation
fuel-contaminated lentic system followed by the
dinoflagellates and Blue green algae. In terms of species
richness, the periphyton groups identified at this site
followed the sequence Bacillariophyceae>
Cyanophyceae> Chlorophyceae> Euglenophyceae.
Predominant zooplanktons in this aviation
fuel-contaminated lentic system were in the sequence of
Rotatoria > Copepoda > Cladocera > Nematoda.
Physicochemical Characteristics of water samples- Most
of the water samples from the study area were colorless
and clear but with evidence of oil sheen when disturbed;
with pH values (6.2 to 7.8) tending generally towards
neutral. Total petroleum hydrocarbon (TPH) in water
samples from this aviation fuel-contaminated lentic
system ranged from 81.5 mg/l to 505.2 mg/l. Dissolved
oxygen (DO) was low with high BOD and COD of 46.3
mg/l and 321.1 mg/l, respectively (Table 2).
Table 2: Physicochemical Characteristics of water samples
Parameters Sample Code
AFW – 1 AFW – 2 AFW – 3
Colour Colourless / Clear Colourless / Colour Colourless / Colour
pH 7.8 6.2 7.0
TPH (mg/l) 276.1mg/l 505.2mg/l 81.5mg/l
DO (mg/l) 7.0 12.0 8.0
BOD (mg/l) 43.0 46.3 44.2
COD (mg/l) 302.0 321.1 311.1
Heavy metals
Fe (mg/l)
Pb (mg/l)
Cu (mg/l)
Cd (mg/l)
Zn (mg/l)
Mg (mg/l)
Mn (mg/l)
Co (mg/l)
10.5 8.3 12.0
0.02 0.01 0.03
0.01 0.02 0.01
0.01 0.01 ND
0.1 0.1 0.1
0.01 0.01 0.01
0.01 0.01 ND
0.01 ND 0.01
ND – Not detected
Int. J. Life. Sci. Scienti. Res. eISSN: 2455-1716
Udotong et al., 2018
DOI:10.21276/ijlssr.2018.4.4.12
Copyright © 2015 - 2018| IJLSSR by Society for Scientific Research under a CC BY-NC 4.0 International License Volume 04 | Issue 04 | Page 1944
DISCUSSION
These ratios of hydrocarbonoclastic bacteria count to
THBC in excess of 1% are indicative of petroleum
hydrocarbon input into this lentic system. All the
microbial isolates listed are known crude oil-degrading
microorganisms (Ijah [25]
; Udotong [1]
; Udotong et al. [26]
).
The dominance of diatoms in this contaminated site may
be due to the fact that food storage in diatoms takes the
form of oil droplets and it is thought that petroleum
deposits may represent the pre-historic accumulation of
an incredible number of such droplets from Diatoms and
other groups of plankton. Specific phyto- & zoo-plankton
indicators at this aviation fuel-contaminated lentic
system are listed in Akpan and Akpan [27]
. The observed
dominance of these indicators in terms of species
richness has been a common feature at hydrocarbon-
contaminated lentic systems and is typical of a
biologically productive freshwater ecosystem in the
Niger Delta region, Nigeria Akpan and Akpan [27]
.
About 80% of all water samples from this study area had
some heavy metals (Fe, Pb and Cu) concentrations in
excess of WHO maximum permissible levels for drinking
water. All other physicochemical parameters of this
aviation fuel-contaminated lentic system were typical of
lentic ecosystems in the Niger Delta region, Nigeria (RPI)
[28]
.
CONCLUSIONS
About sixteen years after the spill, the lentic system was
seen to be contaminated. Although natural processes are
ongoing at this aviation fuel-contaminated lentic system
in the past sixteen years, there is need for enhanced
decontamination (bioremediation) of this and many
other such sites that exist in the Niger Delta region in
Nigeria. Integrated bioremediation including phyto-
remediation techniques have been advocated.
There are on-going researches by these authors to
monitor microbial (eubacteria, archaea and eukarya)
diversity at this site using metagenomics and other omics
approaches with a view to identifying efficient
hydrocarbonoclastic microorganisms that can be used
for effective bioremediations of this and other such
polluted sites in the Niger Delta Region. This research is
one of the pioneering efforts at bioremediation of
petroleum hydrocarbon polluted sites in Nigeria.
CONTRIBUTION OF AUTHORS
Justina Ime Rufus Udotong- Literature search, Sample
collection and samples/ data analysis and interpretation
and writing of article for Physicochemical Characteristics,
critical review and final approval
Ime Rufus Udotong- Literature search, Sample collection
and samples/ data analysis and interpretation, writing of
article for Microbial characteristics and article review.
Unyime Patrick Udoudo- Literature search, Sample
collection and samples/ data analysis and interpretation,
writing of article for Hydrobiological characteristics.
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[2] Leonardi M, Buongarzone E, Udotong I, Cecca G,
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Int. J. Life. Sci. Scienti. Res. eISSN: 2455-1716
Udotong et al., 2018
DOI:10.21276/ijlssr.2018.4.4.12
Copyright © 2015 - 2018| IJLSSR by Society for Scientific Research under a CC BY-NC 4.0 International License Volume 04 | Issue 04 | Page 1945
[9] Domsch KH, Gams H, Anderson TH. Compendium of
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[10]Hunter BB. Illustrated Genera of Imperfect Fungi. 4th
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[27]Akpan AW, Akpan BE. Spatial and temporal
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Open Access Policy:
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Microbial, Hydrobiological Indicators and Physicochemical Characteristics of a Remote Aviation Fuel-Contaminated Lentic System in Ibeno, Nigeria

  • 1. Int. J. Life. Sci. Scienti. Res. eISSN: 2455-1716 Udotong et al., 2018 DOI:10.21276/ijlssr.2018.4.4.12 Copyright © 2015 - 2018| IJLSSR by Society for Scientific Research under a CC BY-NC 4.0 International License Volume 04 | Issue 04 | Page 1940 Microbial, Hydrobiological Indicators and Physicochemical Characteristics of a Remote Aviation Fuel-Contaminated Lentic System in Ibeno, Nigeria Justina Ime R. Udotong 1* , Ime R. Udotong 2 , Unyime P. Udoudo 3 1 Senior Lecturer, Department of Biochemistry, Faculty of Basic Medical Sciences, University of Uyo, Uyo, Akwa Ibom State, Nigeria 2 Professor, Department of Microbiology, Faculty of Science, University of Uyo, Uyo, Akwa Ibom State, Nigeria 3 Postgraduate Student, Department of Fisheries and Aquatic Environmental Management, Faculty of Agriculture, University of Uyo, Uyo, Akwa Ibom State, Nigeria *Address for Correspondence: Dr. Justina Ime R. Udotong, Senior Lecturer, Department of Biochemistry, Faculty of Basic Medical Sciences, University of Uyo, Uyo, Akwa Ibom State, Nigeria Received: 15 Feb 2018/ Revised: 30 April 2018/ Accepted: 22 June 2018 ABSTRACT This research paper presents the microbial and hydrobiological indicators and the physicochemical quality of water samples from a lentic ecosystem in Ibeno LGA, Nigeria, after sixteen (16) years of an aviation fuel spill. Using culture-dependent methodologies, the hydrocarbonoclastic bacterial and fungal counts (HBC & HFC) ranged from 3.4 x 10 4 to 1.2 x 10 5 cfu/l and 4.7 x 10 3 to 1.8 x 10 4 cfu/l, respectively with the ratios of total heterotrophic bacterial counts to HBC and total fungal counts to HFC ranging from 8 to 12% and 15 to 22%, respectively. Predominant bacterial indicators included Pseudomonas aeruginosa, Bacillus subtilis, Micrococcus varians and Enterobacter aerogenes while predominant fungal indicators included Aspergillus niger, A. terreus, Candida sp, Saccharomyces sp, Phoma sp. and Botrytis sp. Predominant zooplanktons in the sampled area were rotatoria while the least were nematodes and followed the trend: Rotatoria > Copepoda > Cladocera > Nematoda. Water samples from the area showed evidence of oil sheen when disturbed; with pH values (6.2 to 7.8) tending generally towards neutral. Total petroleum hydrocarbon (TPH) from this aviation fuel-contaminated lentic system ranged from 81.5 mg/l to 505.2 mg/l. Dissolved oxygen (DO) were generally low with high BOD and COD of 46.3 mg/l and 321.1mg/l, respectively. Other physicochemical parameters were typical of lentic ecosystems in the Niger Delta region, Nigeria. The impact of this and many other spills are enormous. This confirms that it takes a long time for recovery once the environment is polluted. Key-words: Aquatic pollution, Aviation fuel, Hydrobiological parameters, Hydrocarbonoclastic Microorganisms, Lentic ecosystem, Physicochemical characteristics INTRODUCTION Oil spills occur in the Niger Delta environment almost on a daily basis as a result of a number of causes including well blow-out, pipeline rupture, sabotage, equipment failure, etc. According to Udotong [1] , Leonardi et al. [2] , and Udotong et al. [3] there are therefore a number of oil-contaminated sites in the region. How to cite this article Udotong JIR, Udotong IR, Udoudo UP. Microbial, Hydrobiological Indicators and Physicochemical Characteristics of a Remote Aviation Fuel-Contaminated Lentic System in Ibeno, Nigeria. Int. J. Life. Sci. Scienti. Res., 2018; 4(4): 1940-1945. Access this article online www.ijlssr.com On 8th August 2001, the 30-year-old 4” QIT-Jetty Aviation fuel pipeline ruptured resulting in the spillage of about 1,000 barrels of Aviation fuel into the environment of Inua Eyet Ikot in Ibeno local government area of Akwa Ibom State, Nigeria. The aviation fuel spillage continued at high pressure for more than 3 hours before it was stopped. The spilled aviation fuel drained into Akpauchat swamp, a lentic ecosystem in Ibeno in the Niger Delta region of Nigeria. The clean-up effort embarked upon by the company involved the use of dispersants, after which no other remediation method has been attempted. This article presents the microbial and hydrobiological indicators and the physicochemical characteristics of water samples from this lentic system contaminated by aviation fuel after sixteen (16) years of the spill. Research Article
  • 2. Int. J. Life. Sci. Scienti. Res. eISSN: 2455-1716 Udotong et al., 2018 DOI:10.21276/ijlssr.2018.4.4.12 Copyright © 2015 - 2018| IJLSSR by Society for Scientific Research under a CC BY-NC 4.0 International License Volume 04 | Issue 04 | Page 1941 Water samples from this contaminated lentic system in Ibeno in the Niger Delta region of Nigeria were characterized using standard methods, sixteen years after aviation fuel spill; with a view to documenting predominant microbial and hydrobiological indicators and physicochemical characteristics of such remote Aviation fuel-contaminated site. MATERIALS AND METHODS Description of study area and sample collection- The aviation fuel-contaminated site is located at No 65A Qua Iboe Terminal (QIT) road at Inua Eyet Ikot village in Ibeno LGA of Akwa Ibom State, Nigeria (Fig. 1). The spill site lies within Longitude 7o 30’ to 8o 00’ E and Latitude 4o 30’ to 40 45’N on the South Eastern Nigerian Coastline. The study site (Fig. 2) is a swamp and thus a lentic system. Field sampling for this study was embarked upon from 25th April 2016 to 2nd August 2016. Water samples were collected at three (3) locations from this aviation fuel- contaminated site using sterile plastic containers for microbiological, hydrobiological and physicochemical analyses. The samples for microbiological analyses were stored in ice-packed coolers and were transported to the Microbiology Laboratory for analyses. These and other samples for physicochemical and hydrobiological analyses were transported to the Fisheries and Hydrobiology Laboratory of University of Uyo, Uyo, Nigeria for analyses. Fig. 1: Map of Akwa Ibom State showing Sampling location at Ibeno Microbiological Analysis Ten-fold serial dilution of samples, inoculation, and incubation- Serial ten-fold dilutions of each of the samples were prepared according to the methods of Collins and Lyne [4] and Harrigan and McCance [5] . Appropriate dilutions were inoculated onto appropriate nutrient media and were incubated. Hydrocarbonoclastic microorganisms were determined using the mineral salt medium (MSM) as described by Okpokwasili and Okorie [6] . After incubation, discrete microbial colonies were counted and multiplied by the reciprocal of the dilution factor and expressed in colony forming units per millilitre (cfu/l) and their respective cultural morphologies were observed and recorded. Purification and maintenance of pure culture of isolates- Discrete colonies were purified by repeated sub-culture onto appropriate nutrient media. Pure cultures were preserved on nutrient agar slants and stored in the refrigerator for further characterization and identification.
  • 3. Int. J. Life. Sci. Scienti. Res. eISSN: 2455-1716 Udotong et al., 2018 DOI:10.21276/ijlssr.2018.4.4.12 Copyright © 2015 - 2018| IJLSSR by Society for Scientific Research under a CC BY-NC 4.0 International License Volume 04 | Issue 04 | Page 1942 Fig. 2: The aviation fuel-contaminated site Characterization and identification of microbial isolates- Pure cultures of microbial isolates were identified based on cultural parameters, microscopic techniques and biochemical tests including carbohydrate utilization (Cruickshank et al.) [7] . Identification of the bacterial isolates was accomplished by comparing the characteristics of the cultures with that of known taxa as in Holt et al. [8] . Characterization and identification of fungal isolates were carried out as in Domsch et al. [9] and Hunter [10] . Analyses for hydrobiological indicators- Characterization of the limnological indicators of this system was carried out. The periphyton removed from substrata were fixed and preserved in 0.5% acetic lugol, except for samples for determination of diatoms, which were preserved in 4% formalin. Techniques of oxidization and preparation of permanent slides of diatoms followed the method of Simonsen [11] . After this taxonomic analysis, organisms were quantified using an inverted microscope at 400X, according to methods of Utermöhl [12] . Additional counts were made on permanent slides (100 individuals) to differentiate very similar diatom species as recommended by Biggs [13] . The classification system used was that of Round [14] . The systematic arrangement and generic diagnoses followed Bourrelly [15] , except for the classes Cyanophyceae and Bacillariophyceae, which were classified according to Gleitler [16] and Krammer & Lange-Bertalot [17] , respectively. Counting of phytoplankton was done by the direct census method of Jhingran et al. [18] . The rates of primary production of the surface water were estimated as per the standard "Light and dark bottle method" (Gaarder & Gran) [19] . Physicochemical analysis of water samples- Water quality parameters viz., temperature, suspended particulate matter (SPM), transparency, salinity, pH, carbon dioxide, alkalinity, dissolved oxygen (DO), chemical oxygen demand (COD) and nutrients (nitrate, ammonia, phosphate and silicate) were determined following standard methods (APHA; FWPCA; Philbert; Strickland and Parson) [20-23] . Extinction coefficient (Kt) was estimated from the formula, Kt = 1.44/Secchi depth in meter Holmes [24] . For the collection of phytoplankton, five liters of water were collected in a plastic bottle and fixed with Lugol's iodine. RESULTS Microbiological Indicators- The results of total heterotrophic bacterial and fungal counts (THBC & TFC) ranged from 3.4 x 104 to 1.2 x 105 cfu/l and 4.7 x 103 to 1.3 x 104 cfu/l, respectively with the ratios of hydrocarbonoclastic bacterial counts to THBC (HBC /THBC) and Hydrocarbonoclastic fungal counts to total fungal counts (HFC/TFC) ranging from 8% to 12% and 15% to 22%, respectively (Table 1).
  • 4. Int. J. Life. Sci. Scienti. Res. eISSN: 2455-1716 Udotong et al., 2018 DOI:10.21276/ijlssr.2018.4.4.12 Copyright © 2015 - 2018| IJLSSR by Society for Scientific Research under a CC BY-NC 4.0 International License Volume 04 | Issue 04 | Page 1943 Table 1: Microbial Counts of Remote Aviation fuel-contaminated lentic system Sample Code THBC (cfu/ml) HBC (cfu/ml) HBC/THBC TFC (cfu/ml) HFC (cfu/ml) HFC/TFC AFW – 1 5.8 x 104 5.8 x 103 10% 6.4 x 103 1.2 x 103 19% AFW – 2 1.2 x 105 1.4 x 104 12% 1.3 x 104 2.9 x 103 22% AFW – 3 3.4 x 104 2.7 x 103 8% 4.7 x 103 7.1 x 102 15% Legend: THBC- Total Heterotrophic Bacterial count; HBC- Hydrocarbonoclastic Bacterial Count; TFC- Total Fungal Count; HFC- Hydrocarbonoclastic Fungal Count Predominant Microbial Isolates- Predominant bacterial indicators isolated from this remote aviation fuel-contaminated lentic system were Pseudomonas aeruginosa, Bacillus subtilis, Micrococcus varians, Enterobacter aerogenes and Aeromonas sp while predominant fungal indicators isolated were Aspergillus niger, A. terreus, Candida sp, Saccharomyces sp, Phoma sp and Botrytis sp. Hydrobiological Indicators- Diatoms were the most abundant phytoplankton group in this aviation fuel-contaminated lentic system followed by the dinoflagellates and Blue green algae. In terms of species richness, the periphyton groups identified at this site followed the sequence Bacillariophyceae> Cyanophyceae> Chlorophyceae> Euglenophyceae. Predominant zooplanktons in this aviation fuel-contaminated lentic system were in the sequence of Rotatoria > Copepoda > Cladocera > Nematoda. Physicochemical Characteristics of water samples- Most of the water samples from the study area were colorless and clear but with evidence of oil sheen when disturbed; with pH values (6.2 to 7.8) tending generally towards neutral. Total petroleum hydrocarbon (TPH) in water samples from this aviation fuel-contaminated lentic system ranged from 81.5 mg/l to 505.2 mg/l. Dissolved oxygen (DO) was low with high BOD and COD of 46.3 mg/l and 321.1 mg/l, respectively (Table 2). Table 2: Physicochemical Characteristics of water samples Parameters Sample Code AFW – 1 AFW – 2 AFW – 3 Colour Colourless / Clear Colourless / Colour Colourless / Colour pH 7.8 6.2 7.0 TPH (mg/l) 276.1mg/l 505.2mg/l 81.5mg/l DO (mg/l) 7.0 12.0 8.0 BOD (mg/l) 43.0 46.3 44.2 COD (mg/l) 302.0 321.1 311.1 Heavy metals Fe (mg/l) Pb (mg/l) Cu (mg/l) Cd (mg/l) Zn (mg/l) Mg (mg/l) Mn (mg/l) Co (mg/l) 10.5 8.3 12.0 0.02 0.01 0.03 0.01 0.02 0.01 0.01 0.01 ND 0.1 0.1 0.1 0.01 0.01 0.01 0.01 0.01 ND 0.01 ND 0.01 ND – Not detected
  • 5. Int. J. Life. Sci. Scienti. Res. eISSN: 2455-1716 Udotong et al., 2018 DOI:10.21276/ijlssr.2018.4.4.12 Copyright © 2015 - 2018| IJLSSR by Society for Scientific Research under a CC BY-NC 4.0 International License Volume 04 | Issue 04 | Page 1944 DISCUSSION These ratios of hydrocarbonoclastic bacteria count to THBC in excess of 1% are indicative of petroleum hydrocarbon input into this lentic system. All the microbial isolates listed are known crude oil-degrading microorganisms (Ijah [25] ; Udotong [1] ; Udotong et al. [26] ). The dominance of diatoms in this contaminated site may be due to the fact that food storage in diatoms takes the form of oil droplets and it is thought that petroleum deposits may represent the pre-historic accumulation of an incredible number of such droplets from Diatoms and other groups of plankton. Specific phyto- & zoo-plankton indicators at this aviation fuel-contaminated lentic system are listed in Akpan and Akpan [27] . The observed dominance of these indicators in terms of species richness has been a common feature at hydrocarbon- contaminated lentic systems and is typical of a biologically productive freshwater ecosystem in the Niger Delta region, Nigeria Akpan and Akpan [27] . About 80% of all water samples from this study area had some heavy metals (Fe, Pb and Cu) concentrations in excess of WHO maximum permissible levels for drinking water. All other physicochemical parameters of this aviation fuel-contaminated lentic system were typical of lentic ecosystems in the Niger Delta region, Nigeria (RPI) [28] . CONCLUSIONS About sixteen years after the spill, the lentic system was seen to be contaminated. Although natural processes are ongoing at this aviation fuel-contaminated lentic system in the past sixteen years, there is need for enhanced decontamination (bioremediation) of this and many other such sites that exist in the Niger Delta region in Nigeria. Integrated bioremediation including phyto- remediation techniques have been advocated. There are on-going researches by these authors to monitor microbial (eubacteria, archaea and eukarya) diversity at this site using metagenomics and other omics approaches with a view to identifying efficient hydrocarbonoclastic microorganisms that can be used for effective bioremediations of this and other such polluted sites in the Niger Delta Region. This research is one of the pioneering efforts at bioremediation of petroleum hydrocarbon polluted sites in Nigeria. CONTRIBUTION OF AUTHORS Justina Ime Rufus Udotong- Literature search, Sample collection and samples/ data analysis and interpretation and writing of article for Physicochemical Characteristics, critical review and final approval Ime Rufus Udotong- Literature search, Sample collection and samples/ data analysis and interpretation, writing of article for Microbial characteristics and article review. Unyime Patrick Udoudo- Literature search, Sample collection and samples/ data analysis and interpretation, writing of article for Hydrobiological characteristics. REFERENCES [1] Udotong, IR. Environmental Monitoring and Effect of Petroleum Production Effluents on some Biota of lower Qua Iboe River Estuary. Ph.D Thesis, Nigeria; Rivers State University of Science of Technology, Port Harcourt, 2000. [2] Leonardi M, Buongarzone E, Udotong I, Cecca G, Udotong JI, Ogbonna I, Akele SE, Salmoiraghi G. Screening of current experiences in phytotechnologies for wastewater treatment in Europe with a view to adopting it in the Niger Delta region, Nigeria. World J Appl Sci & Tech, 2010; 2(1): 49-58. [3] Udotong JIR, Udoudo UP, Udotong, IR. Effects of oil & gas Exploration & Production activities on Production and Management of Sea Foods in Akwa Ibom State of Nigeria. J Envir Chem and Ecotox, 2017; 9(3): 20-42. [4] Collins OH, Lyne FM. Microbiological Methods. Great Britain; Butterworth and Company Limited: 1976. [5] Harrigan WF, McCance ME. Laboratory methods in food and diary microbiology. London; Academic Press: 1990. [6] Okpokwasili GC, Okorie BB. Biodeteroriation potentials of microorganisms isolated from Car Engine Lubricating oil Tribology International, 1988; 21: 215-220. [7] Cruickshank R, Duguid JP, Mamion RP, Swain RHA. Medical Microbiology. Vol II, London: Churchill, Livngstone; 1976. [8] Holt JG, Kieg NR, Sneath PHA, Staley JT, Williams ST. Bergey’s Manual of Determinative Bacteriology. 9th ed., Baltimore, USA; Williams and Wilkins Publishers: 1994.
  • 6. Int. J. Life. Sci. Scienti. Res. eISSN: 2455-1716 Udotong et al., 2018 DOI:10.21276/ijlssr.2018.4.4.12 Copyright © 2015 - 2018| IJLSSR by Society for Scientific Research under a CC BY-NC 4.0 International License Volume 04 | Issue 04 | Page 1945 [9] Domsch KH, Gams H, Anderson TH. Compendium of Soil Fungi, London; Academy Press: 1980. [10]Hunter BB. Illustrated Genera of Imperfect Fungi. 4th ed., USA; Macmillan Publishing Company: 1987. [11]Simonsen R. The diatoms plankton of the Indian Ocean Expedition of R. V. Meteor, 1964-5. Meteor Forschungsergeb. Reihe D-Biologie, 1974; 19: 1-66. [12]Utermöhl H. To complete the quantitative phytoplankton methodology. Communications International Association for Theoretical and Applied Limnology, 1958; 9: 1-38. [13]Biggs BJF. Patterns in benthic algal of streams. In Algal ecology; freshwater benthic ecosystems (R.J. Stevenson, M.L. Bothwell & R.L. Lowe, eds.) San Diego; Academic Press: 1996: pp. 31-56. [14]Round FE. Diatoms in river water-monitoring studies. J Appli Phyco, 1991; 3: 129-145. [15]Bourrelly P. Freshwater algae: Introduction to systematics. 2. Yellow and brown algae, chrysophytae, xanthophyceae and diatoms. Editions N, Paris; Boubée & Co., 1981. [16]Gleitler L. Cyanophyceae. In cryptogam flora of Germany, Austria and Switzerland (L. Rabenhorst, ed.). Leipzig; Academic Publishing Company, 1932; pp. 1-1196. [17]Krammer L, and Lange-Bertalot H. Bacillariophyceae, 3: Centrals, Fragilariaceae, Eunotiaceae. In freshwater flora of Central Europe (H. Ettl, J. Gerloff, H. Heynig & D. Mollrnhsuer, eds.). Stuttgart; G. Fischer publishing house: 1991: v. 2, pars 3, pp. 1-576. [18]Jhingran VG, Natarajan AV, Banerjea SM, David A. Methodology of Reservoir Fisheries Investigation in India. Barrackpore, India; Bulletin of the Central Inland Fisheries Research Institute No. 12: 1969. [19]Gaarder T, Gran HH. Investigation on the production of plankton in the Oslo Fjiord. Rapp. PV. Reun. Comma. Int. Explor. Scient. Mer. Mediterr, 1927; 42: 1-48. [20]APHA (American Public Health Association). Standard Methods for the Examination of Water and Waste Water. 18th ed., Washington, D.C; APHA: 1992. [21]FWPCA (Federal Water Pollution Control Administration). FWPCA Methods for Chemical Analysis of Water and Wastes. USA; US Department of Interior FWPCA: 1969. [22]Philbert FJ. Physical parameters. pp. 3-69. In: J. V. C. Loon (ed.) Chemical Analysis of Inorganic Constituents of Water. Florida; CRC Press Inc., Boca Raton: 1977. [23]Strickland JDH, Parsons TR. A Practical Handbook of Seawater Analysis. Canada; Bulletin of the Fisheries Research Board: 1968: p. 167. [24]Holmes RW. The Secchi disk in turbid coastal waters. Limnology and Oceanography, 1970; 15: 688-694. [25]Ijah UJJ. Studies on Relatives Capabilities of Bacterial and Yeast Isolated from Tropical soil in Degrading Crude Oil. Waste Management, 1999; 18: 293- 299. [26]Udotong IR, Eduok SI, Essien JP, Ita BN. Density of Hydrocarbonoclastic Bacteria and Polycylic Aromatic Hydrocarbons Accumulation in Iko River Mangrove Ecosystem, Nigeria. Proceedings of World Academy of Sci. Eng. and Technol., 2008; 34: 830-836. [27]Akpan AW, Akpan BE. Spatial and temporal heterogeneity in plankton distribution in Nigeria tropical Freshwater Pond (Southern Nigeria). Acta Hydrobiol, 1994; 36: 201 – 211. [28]RPI. Environmental Baseline Studies for the establishment of control criteria And Standards Against Petroleum-related Pollution in Nigeria. Lagos; Final report Submitted to the Nigerian National Petroleum Corporation (NNPC): 1985. Open Access Policy: Authors/Contributors are responsible for originality, contents, correct references, and ethical issues. IJLSSR publishes all articles under Creative Commons Attribution- Non-Commercial 4.0 International License (CC BY-NC). https://creativecommons.org/licenses/by-nc/4.0/legalcode