The document summarizes a study on the microbial community composition of different soil layers from an aged oil spill site in Nigeria. Total petroleum hydrocarbons and polycyclic aromatic hydrocarbons were higher in the top soil compared to the subsoil. A total of 24 bacterial species from 11 genera and 10 fungal species from 7 genera were isolated from both soil layers and confirmed to degrade oil. The top soil contained Proteus, Salmonella, Citrobacter, Enterobacter, Klebsiella, Bacillus and Corynebacterium, while the subsoil contained Escherichia, Flavobacterium, Corynebacterium, Pseudomonas, and Bacillus. Gammaproteobacteria
Microbial Community Differences in Oil-Spilled Soil Layers
1. ABSTRACT
MICROBIAL COMMUNITY COMPOSITION OF DIFFERENT
SOIL LAYERS IN AN AGED OIL-SPILL SITE IN BOMU
COMMUNITY, OGONILAND.
Chikere, Chioma Blaise and Aggreh, Erhovwon Peter
*Corresponding author: choima.chikere@uniport.edu.ng. Tel: +2347030912861.
Department of Microbiology, University of Port Harcourt, P.M.B. 5323, Port Harcourt, Rivers
State, Nigeria.
Bioremediation is a cost-effective and sustainable approach for detoxifying polluted soils.
However, having a holistic knowledge of diverse microbial composition colonizing different soil
depths is essential in designing more effective bioremediation strategies. Top soil (TS) and sub
soil (SS) samples at 0 - 15 cm and 0 - 35 cm depths were collected from an aged crude-oil spilled
site in Bomu community, Rivers State characterized with microbiological and physicochemical
analytical methods. Samples were enriched in Bushnell Haas broth and screened for the presence
of oil-degrading bacteria and fungi. Total petroleum hydrocarbon (TPH) and polycyclic aromatic
hydrocarbon (PAHs) constituents for TS and SS were 7439.59; 14.58 mg/kg and 8653.03; 1.21
mg/kg, respectively while mean values for hydrocarbon utilizing bacterial and fungi counts for TS
and SS were 1.9×105; 0.5×103 cfu/g; and 4.3×105; 0.4×103 cfu/g, respectively. Bacterial and fungal
community compositions were identified using phenotypic and microscopic techniques. A total of
24 bacterial species encompassing 11 genera and 10 fungal species from 7 genera were isolated
and confirmed as oil degrading microorganisms using biodegradation assay. The bacterial genera
for TS included Proteus, Salmonella, Citrobacter, Enterobacter, Klebsiella, Bacillus and
Corynebacterium while SS were Escherichia, Flavobacterium, Corynebacterium, Pseudomonas,
and Bacillus. Gammaproteobacteria were the dominant class across both soil layers. Fusarium spp.
and Rhizopus spp. were the dominant fungal isolates for SS and TS, respectively. The different
soil layers were variable in the microbial composition and abundance as well as physical and
chemical soil characteristics.
Key words: Bioremediation, PAHs, TPH, Bomu Community, Ogoniland.
2. 1.1 INTRODUCTION
Hydrocarbons are group of compounds that consist of hydrogen and carbon in their structure. The
increase in the numbers of petrochemical industries worldwide has resulted to contamination by
oil spills. This is one of the major environmental problems faced globally. Environment is
particularly being contaminated with accidental releases of petroleum products. This can be direct
or indirect. Some of these chemicals are persistent organic pollutants (POPs). They are globally
dispersed accumulating in wildlife like seals and polar bears and in our bodies. (Alexendra and
Johanna, 2016).
The effect of pollution on the Niger delta people has been great. As a result of oil spills and
industrial waste dumped into the Niger Delta River, fishing as a means of supplying food for the
tribe is no longer an option because very few fish remain in the river. Farming is no longer possible.
The groundwater is contaminated and is not safe for drinking, and the rainwater cannot be collected
for drinking because it falls as acid rain. Soil fertility has been depleted as well the loss of our
aquatic heritage. Hydrocarbon interacts with the environment and microorganism helps in the degradation
of the hydrocarbon contaminants provided that the polluted soil have all the factors necessary for the
metabolism of the microorganism and to influence its activities positively (Chikere et al., 2011, 2012).
In 2003, there was a major spilled which was blamed on pipeline vandalism. In August 2011, UNEP
released its environmental assessment of Ogoniland. UNEP’S findings about the region were that, despite
the decrease in oil industry in this region, oil spill continues to occur in a high rate. The report concludes
that there was high rate of pollution in extensive land areas,sediments and swamplands which is mainly
from crude oil. There was no continuous clay layer found across Ogoniland thus exposing groundwater in
Ogoniland to hydrocarbon spills on the surface. The contamination exceeds Nigerian national standards as
3. set out in the Environmental Guidelines and Standards for the petroleum Industries in Nigeria (EGASPIN).
(UNEP, 2011).
The soil microbial communities are mainly composed of bacteria, actinomycetes followed by
fungi. The bacteria composition is mostly influenced by pH and other features such as NO--3N.
Wei et al, 2016. The success of restoration project relies on proper understanding of the soil
(composition and structure) ecology, the relationship between soil, plants, hydrology and land
management at different scales which are particularly complex due to the heterogeneous pattern
of the functioning ecosystem. Eldoado et al, 2016.
Soil microbial community provide critical ecosystem services, including soil formation, and
carbon sequestration; nitrogen fixation, nitrification and dinitrification. Jeffery et al. soil microbial
community composition is altered by the presence of petroleum products. Janine et al, 2016.
Bacteria play a central role in hydrocarbon degradation. This is aided by the ability of the microorganism
to utilize the hydrocarbons in other to satisfy their cell growth and energy needs. (Grupte and Sonawdekar,
2015). When there is low level hydrocarbon, the hydrocarbon degrading microorganisms present
in such soil samples often thrive as minor members of the microbial communities. (Hamamura et
al., 2006). The occurrence of crude oil contamination increases the microbial biomass of the crude
oil degrading organisms. If these contaminants are of different compounds, there is a shift of
direction by the hydrocarbon utilizing organism to a new direction in other to utilize the different
compounds and become enriched with it. (Powell et al., 2006). The light hydrocarbons are usually
the first metabolized by these organisms before the more recalcitrant complex hydrocarbons
(Baldwin et al., 2008).
4. The occurrence of an oil spill brings about the proliferation of the local communities of oleophilic
microbes adapted to that environment. It takes a lot of time for the oleophilic microbes to increase
in response to the influx of the new resources. American Society of Microbiology (ASM), 2011.
When the normal chemical and physical environment is altered, there is often a lag period by which
the microbial community adapts to the new conditions. (Nulete and Okpokwasili, 2004).
Hydrocarbonoclastic bacteria usually help in the removal of alkanes which results in the formation
of carbon dioxide and water, (Straud et al., 2007).
The occurrence of crude oil spillage affects the microbial diversity of the soil micro-flora. For this
reason, there is the need to investigate the bacterial communities’ composition and diversities
of a long term spilled site. (Adesina and Adelasoye, 2013).
2.1 MATERIALS AND METHODS
2.2 STUDY AREA
The hydrocarbon polluted soil was obtained from a polluted soil at Bomu in Ogoniland. The site
was selected due to high level of pollution as a result of oil spill. The area is characterized with
much vegetation. Ogoni kingdom is one of the many indigenous people in the region of the
southeast of Nigeria with 1.5 million people in a 404- square- mile (1050 km2) homeland. The
territory is located in Rivers state of the coast of the gulf of Guinea in the eastern city of Port
Harcourt.
2.3 SAMPLING
The soil was collected with a soil auger at a depth of 0-15cm for top soil and 15-30cm for sub soil
into a sterile polythene bags which soaked in 70% alcohol (Eziuzor and Okpokwasili, 2009). Two
different soil samples (top and sub soil) at different soil layers were collected. Samples were
5. collected from different sampling points bulked for homogeneity and thereafter transported to the
Environmental Microbiology laboratory of the University of Port Harcourt, Nigeria at 4oC.
Samples were subsequently analysed in parallel for physicochemical and microbiological
properties.
2.4 DETERMINATION OF PHYSICOCHEMICAL PARAMETERS OF SAMPLE
Physiochemical parameters such as pH, Electric Conductivity (EC), Phosphate, Nitrate, Moisture
Content (MC), Total Organic Carbon (TOC), Heavy metals (Zinc (Zn), Lead (Pb) and Nickel (Ni)),
Total Petroleum Hydrocarbon (TPH) and Poly Aromatic Hydrocarbon (PAH) were determined
according to methods of ASTM, 1999 and APHA, 1998.
2.5 GAS CHROMATOGRAPHIC ANALYSIS.
This analysis was done to determine the residual total petroleum and polycyclic aromatic
hydrocarbon with sample using Gas chromatogram ionization detector. The extraction of
petroleum hydrocarbon was done with dichloromethane (DCM) using cold extraction method with
ASTM D-3694 heavy machine for 1 hour.
2.6 ENUMERATION OF TOTAL HETEROTROPHIC BACTERIA (THB) AND FUNGI (THF)
THB counts were determined using spread plate count agar (PCA). From both the sub and top soil
samples, 1g of soil was homogenized in 9ml of 0.85% normal saline. Decimal dilutions (10 fold)
of the suspensions was plated out on the PCA medium and incubated at 30oC for 24 hours. The
colony forming units was afterwards enumerated. Chikere, 2014. The medium of choice for fungi
6. isolation was Dichloran Rose Bengal Chloramphenicle (DRBC) Agar with 0.25g addition of
chloramphenicol vial.
2.7 ENUMERATION AND ISOLATION OF HYDROCARBON UTILIZING BACTERIA
(HUB) AND FUNGI (HUF)
Hydrocarbon utilizing bacteria (HUB) was enumerated by a method adopted from Chikere and
Ekwuabu, (2014) which involved a 10 fold dilutions of both samples and plating out differently
on a mineral salt medium (Bushnell-Hass Agar) (Sigma-Aldrich, USA). Hydrocarbon was then
supplied to putative hydrocarbon utilizes by placing sterile Whatman No. 1 filter paper
impregnated with 5ml crude oil on the lids of the inverted plates and incubated for 14days at 30oC.
Colony forming unit (cfu/g) was thereafter calculated.
2.8 PURIFICATION AND CHARACTERIZATION OF HYDROCARBON UTILIZING
BACTERIA AND FUNGI
Discreet colonies of the different HUB of both samples were randomly picked using a sterile
inoculating wire loop and sub cultured for purification by streaking on nutrient agar plates in
duplicates and incubated at 30oCfor 24 hours. Individual colonies of both samples were principally
identified using biochemical tests as described in Bergy’s Manual for Determinative Bacteriology
11. Fig 2.3 Chromatogram of top soil polluted sample for TPH
Fig 2.4 Chromatogram of top soil polluted sample for TPH
12. TABLE 2.4 TOTAL HETEROTROPHIC BACERIA (THB) COUNTS AND HYDROCARBON UTILIZING
BACTERIA (HUB) COUNTS
Sample Mean Values of THB Mean Values of HUB
Sub soil (cfu/g) 5.3 x 105 1.9 x 105
Top soil (cfu/g) 5.7 x 105 4.3 x 105
TABLE 2.5 TOTAL HETEROTROPHIC FUNGI (THF) COUNTS AND HYDROCARBON UTILIZING FUNGAL
(HUF) COUNTS
Sample Mean Values of THF Mean Values of HUF
Sub soil (cfu/g) 1.0 x 103 0.4 x 103
Top soil (cfu/g) 2.1 x 103 0.5 x 103
2.9 DEGRADATION SCREENING
A total of 24 bacterial (11 genera) and 12 fungi (8 genera) isolates were obtained from the two
samples as putative hydrocarbon utilizing bacteria and fungi using Bushnell Hass broth with crude
oil supplied as carbon source which were further screened for their degradation potential using
spectrophotometer. From the result, 24 bacterial and 10 fungal isolates were significant for crude
degradability assay evidenced by turbidity (biomass increase).
13. Table 2.6 CHARACTERIZATION OF BACTERIAL ISOLATES FROM TOP SOIL SAMPLE.
Isolate code Gram Reaction Morphology
(Macroscopy)
Tentative Identity Degradation
screening
HUB 1 Rod ( - ) Large, circular, grey,
smooth colonies
Proteus sp. Y
HUB 2 Rod ( - ) Large, circular, grey,
smooth colonies
Proteus sp. Y
HUB 3 Rod ( - ) Small, moist, grey, raised
colonies
Salmonella sp. Y
HUB 4 Rod ( - ) Small, moist, grey, raised
colonies
Salmonella sp. Y
HUB 5 Rod ( - ) Small, moist, grey, raised
colonies
Salmonella sp. Y
HUB 6 Rod ( - ) Small, moist, grey, flat,
shiny colonies
Citrobacter sp. Y
HUB 7 Rod ( - ) Small, irregular, smooth
colonies
Enterobacter sp. Y
HUB 8 Rod ( - ) Small, circular, convex
colonies
Klebsiella sp. Y
HUB 9 Rod ( + ) Small, cream, flat,
circular colonies
Bacillus sp. Y
HUB 10 Rod ( + ) Small, cream, flat,
circular colonies
Bacillus sp. Y
HUB 11 Rod ( + ) Small, cream, flat,
circular colonies
Bacillus sp. Y
HUB 12 Rod ( + ) Irregular, greyish-white
raised colonies
Corynebacterium sp. Y
Where Y= Yes, + =Positive and - =Negative
14. TABLE 2.7 CHARACTERIZATION OF BACTERIAL ISOLATES FROM SUB-SOIL SAMPLE.
Isolate code Gram reaction Morphology Tentative identity Degradation
screening
HUB 1 Rod ( - ) Small, circular, cream,
slightly raised colonies
Escherichia sp. Y
HUB 2 Rod ( - ) Small, circular, cream,
slightly raised colonies
Escherichia sp. Y
HUB 3 Rod ( - ) Smooth, shiny, small,
convex colonies
Flavobacterium sp. Y
HUB 4 Rod ( - ) Smooth, shiny, small,
convex colonies
Flavobacterium sp. Y
HUB 5 Rod ( - ) Circular, raised, cream,
shiny colonies
Pseudomonas sp. Y
HUB 6 Rod ( - ) Circular, raised, cream,
shiny colonies
Pseudomonas sp. Y
HUB 7 Rod ( + ) Irregular, greyish-white
raised colonies
Corynebacterium sp. Y
HUB 8 Rod ( + ) Small, cream, flat,
circular colonies
Bacillus sp. Y
HUB 9 Rod ( + ) Small, cream, flat,
circular colonies
Bacillus sp. Y
HUB 10 Rod ( - ) Small, irregular, smooth
colonies
Enterobacter sp. Y
HUB 11 Rod ( - ) Small, irregular, smooth
colonies
Enterobacter sp. Y
HUB 12 N/A N/A N/A N/A
Where Y= Yes, + =Positive, - =Negative and N/A=Not Available
15. TABLE 2.8 CHARACTERIZATION AND IDENTITIES OF TOP SOIL ISOLATES
Isolates Culture
Characteristics
Microscopic
Characteristics
Family Degradation
screening
HUF 1 Yellow Colouration
with a thick mycelia
Condiospores were
broomlike
Penicillium sp Y
HUF 2 Creamy colour that was
ovul
Cells were spherical
and in clusters.
Saccharomyces sp Y
HUF 3 A pure white colour that
was like a cotton
(1) Absence of Septate.
(2) Rhizoid present
Rhizopus sp Y
HUF 4 A pure white colour that
was a cotton
Absence of Septate and
presence of Rhizoid
Rhizopus sp Y
HUF 5 Whitish lyceum Presence of
Conidiosphere
Fusarium sp Y
HUF 6 Whitish spread surface Presence of a branched
hypha
Aspergillus sp Y
TABLE 2.9 CHARACTERIZATION AND IDENTITIES OF SUB SOIL ISOLATES
Isolates Culture
Characteristics
Microscopic
Characteristics
Genera Degadation
screening
HUF 1 Greyish brown colour
turning to brown
Presence of dark
hyphae and an
elongated
conidiophores
Nigrospora sp Y
HUF 2 Greyish brown colour
turning to brown
Presence of dark
hyphae and an
elongated
conidiophores
Nigrosporasp Y
HUF 3 Grey to green hyphae Presence of dark brown
yeast like cells.
Hortacea sp Y
HUF 4 Pink to violet colour Presence of hyphae
with branched and
unbarred conidiospores
Fusarium sp Y
HUF 5 Surface was cotton and
was spreading
Hyphae and septate
with large periticia
Chaetomium sp N
HUF 6 Surface was cotton and
was spreading
Hyphae and septate
with large periticia
Chaetomium sp N
16. 3.1 DICUSSION
Bioremediation provides techniques for the cleaning up of pollution. By the development of
comparative analysis of the microbial community of different soil layers, significant advances will
be made in the area of crude oil pollution control. Time plays a critical role on petroleum
degradation (Chorom et al., 2010). The petroleum degradation rate increased with time. This was
evidenced by the increase in turbidity and optical density values (OD) of the Bushnell Hass broth
sampled for day 0, 3, 9 and 12. A previous work by Sang-Haw et al. (2012) shows that
microorganisms grows more rapidly at their first trimester, from my research, there was a rapid
increase in bacterial growth for both soil layers at the transient stage between day 3 and day 9.
This I supposed was the growth/ logarithm stage of the bacterial isolates.
Turbidity was seen more in the top soil isolates as compared to the sub soil isolates. This confirmed
a previous research by Chioma and Ekwaubu (2014), which experienced a high count in soil
sample taken at a depth of 0-15cm (top soil).
Physicochemical parameters are shown in table 3.1 for both top and sub soil. The values shown
by the result indicated both samples had been exposed to hydrocarbon contaminants together with
the presence of the traces of other contaminants. I presumed that the contamination occurred as
the result of the very low pH experienced as indicated by the pH values for both soil samples. Top
soil; pH was 5.8 and sub soil; pH was 5.5. Soil pH is important because it can affect the availability
of nutrients. Most microbial species can only survive within a certain pH range. Chawla et al
(2013); Vidali (2001), studied that for biodegradation to occur, the pH must have an optimum
value 6.5-8.0 while for microbial activity to occur, the pH must be between 5.8-8.8.
17. There were more of Gram negative organisms as compared to Gram positive organisms in both
soil layers. These organisms were all positive in degradation screening as presented in tables; 2.6
and 2.7 Nigrospora spp isolated from sub soil has the greatest HUF (frequency) as compared to
top soil. A total number of five fungi species were isolated from top soil while a total three fungi
specie were isolated from sub soil. All fungi species were positive in degradation screening in top
soil isolates but there was an exception in the sub soil fungi isolates. All fungi isolates indicated
positive results in degradation screening except Chaetomium spp which indicated a negative result
as presented in table; 2.8 and 2.9 respectively. The fungi of sub soil were mostly of grey to black
colouration while that of the top soil were mostly creamy, green and pure white colouration.
Microbial activity was determined by the enumeration of the culturable THB and THF. Mean
values for hydrocarbon utilizing bacterial and fungi counts for TS and SS were 1.9×105; 0.5×103
cfu/g; and 4.3×105; 0.4×103 cfu/g.
From the study, it can be seen that a great percentage of the microorganisms were hydrocarbon
utilizing organisms. The degrading ability demonstrated by the organisms is a clear indication that
the indigenous microorganisms present in an oil polluted environment are good and effective oil
degraders if the enabling environment/ constituents are provided for these organisms or if there is
a proper bio-augmentation strategy.
These findings have revealed that there is an appreciable population of new strains of
microorganisms as well as the presence of the indigenous hydrocarbon utilizing bacteria and fungi.
The results gotten from this research are expected to increase the possibilities of developing
models and strategies for the bioremediation of hydrocarbon pollutants in both soil layers.
18. 4.1 CONCLUSION
Bioremediation provides techniques for the cleaning up of pollution. By the development of
comparative analysis of the microbial community of different soil layers, significant advances will
be made in the area of crude oil pollution control.
4.2 RECOMMENDATIONS
1. Metagenomes should be used simultaneously with culture dependant techniques. If this is
done, all of the hydrocarbon utilizing organism will be obtained.
2. Culture collection centres should be established in various parts of the country to preserve
knows isolates which can be used as reference organisms by researches.
3. The Government of Nigeria should provide scholarship/ funds to lighten the high financial
costs in value in carrying this research.
4. More research needs to be carried out to determine the distribution and process of
harvesting oleophilic anaerobes.
5. Oil spill bioremediation researchers should be encouraged to carry out field bioremediation
trails.
19. REFERENCE
Adesina, G.O. and Adelasoye, K.A. (2013). Effects of crude oil pollution on heavy metal contents,
microbial population soil, maize and cowpea growth. Agricultural Sciences 5 (1): 43-46.
Alexendra, C. and Johanna. H. (2016). Women and chemicals. The impact of hazardous chemicals on
women. Women in Europe for a Common Future. 1-66.
Baldwin, B.R., Naakatsu, C.H. and Nies, L. (2008). Enumeration of aromatic oxygenase genes to evaluate
monitored natural attenuation at gasoline- contaminated site. Water Resource. 42: 723-731.
Chawla, N., Suneja, S., Kukreja K. and Kumar R. (2013). Bioremediation: An emerging technology for
remediation of pesticides. Research Journal of Chemistry and Environment. 17 (4): 88-105.
Chikere, B.C. and Ekwuabu, C. B. (2014). Culture- dependent characterization of hydrocarbon utilizing
bacteria in selected crude oil- impacted sites in Bodo Ogoniland, Nigeria. African Journal of
Environmental Science and Technology. 8 (6): 401-405.
Chikere, C. B (2012). Culture-Independent analysis of bacterial community composition during
bioremediation of crude oil-polluted soil. British Microbiology Resource Journal. 2 (3):187-211.
Chikere, C. B (2013). Application of molecular microbiology techniques in bioremediation of
hydrocarbons and other pollutants. British Biotechnology Journal. 3: 90-100.
Chikere, C. B., Okpokwasili, G. C. and Chikere, B. O. (2011). Monitoring of microbial hydrocarbon
remediation in soil. 3 Biotech. 1 (3): 117-120.
Chorom, M., Sharifi, H. S. and Motamedi, H. (2010). Bioemediationof a crude oil-polluted soil by
application of fertilizers.. Iran Journal of environment, health, science and engineering. 7 (4):
319-326.
20. Eldoado A.C., Costantini., Christina, B., Alice, N., Gudrum, S., Ilan, S., Alejandro, V. and Claudio, Z.
(2016). Soil indicators to assess the effectiveness of restoration in dryland ecosystem. Solid Earth.
7: 397-414.
Eziuzor, C. S. and Okpokwasili, G. C. (2009). Bioremediation of hydrocarbon contaminated mangrove
soil in a bioreactor. Nigerian Journal of Microbiology. 23 (1): 1777-1791.
Janine, M., Alexander, G., Thomas, D. B., Franco, W. and Marcel., G. A. V. H. (2016). Effect of
nanoparticles on red clover and its symbiotic microorganisms. Journal of Nanobiotechnology. 1-
8.
Jeffrey, S. B., Anne, S. k., Matti, N., Jude E. M. and Laurie, M. (2016). Soil microbial communities
following bush removal in a Namibian savanna. Soil Journal. 2: 101-110.
Gupte, A. and Sonawdekar, S. (2015). Study of degrading bacteria isolated from oil contaminated sites.
International Journal for Research in Applied Science and Engineering Technology. 3 (11): 345-
349.
Hamamura, N., Olson, S. H., Werd, D.M. and Inskeep, W.P. (2006). Microbial population dynamics
associated with crude oil biodegradation in diverse soils. Applied Environmental Microbiology.
72: 6316-6320.
Powell, S.M., Ferguson, S.H., Bowman, J.P. and Snape, I. (2006). Using real time PCR to assess changes
in the hydrocarbon- degrading microbial community in anthracic soil during bioremediation.
Microbial Ecology. 52: 523-532.
21. Rasheed, M. A., Patil, D.J and Dayal, A.M. (2013). Microbial techniques for hydrocarbon exploration.
INTECH. 9: 199-207.
Sang-Hwan, I., Seokho, I., Dae Yaeon, K, Jeong- gy u, K., (2007). Degradation characteristics of waste
lubricants under different nutrient condition. Journal of hazard material. 143: 65-72.
Straud, J.L., Paton, G.I and Semple, K.T. (2007). Microbe aliphatic hydrocarbon interaction in soil;
implications for biodegradation and bioremediation. Journal of Applied Microbiology. 102: 1237-
1250.
Vidali, M. (2001). Bioremediation an overview. Pure and Applied Chemistry. 73 (7): 1163-1172.
Wei, Z., Xiaojuan, O., Jianwei, L., Zhengxiang, Y and Xia, C. (2016). Characterization of microbial
community structure in rhizosphere soils of cowskin Azalea (Rhododendron aureum Georgi) on
north slope of Changbai Mountains, China. Chinese Geographical Science. 25 (1): 78-89.