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African Journal of Biomedical Research
Ibadan Biomedical Communications Group
ISSN: 1119-5096
Vol. 6, Num. 2, 2003, pp. 79-84
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African Journal of Biomedical Research, Vol. 6, No. 2, May, 2003, pp. 79-84
ANTIBIOTIC SENSITIVITY PROFILE OF MICROORGANISMS ENCOUNTERED IN THE LAGOS
LAGOON , NIGERIA
AJAYI A. O 1* AND AKONAI K.A 2
1 Department of Microbiology, Adekunle Ajasin University
, P.M.B. 01, Akungba-Akoko, Ondo State .
2 Department
of Microbiology, Obafemi Awolowo University ,
Ile-Ife , Osun State Nigeria
*Corresponding Author.
Received: December 2002
Accepted in final form: March
2003
Code Number: md03015
ABSTRACT
The Lagos Lagoon is an area of salt and brackish water situated
in the western part of Nigeria . The in vitro antibiotic sensitivity
profiles of microbial isolates encountered in the 24 designated sampling
sites of the Lagos Lagoon were determined. 46 (60%) of these
microorganisms tested showed multiple antibiotic resistance. This included
the enteric gram negative short rods such as Klebsiella spp., Enterobacter
spp.and Escherichia coli. The prevalence of multiple antibiotic resistant
microorganisms in fresh water as well as marine environment may be important,
since their presence indicates recent contamination with sewage. This resistant
organisms may contaminate fish and other products within the food chain and
if such are consumed by humans, it may become part of the individual flora.
The Lagos Lagoon is populated with pathogenic bacteria and
the pathogenic organisms are more likely to be found in area of low salinity
than in areas of high salinity. The enteric organisms found in most areas
showed multiple antibiotic resistances, which is significant healthwise.
Keywords: antibiotic, microorganisms, lagoon, Lagos , Nigeria
INTRODUCTION
The Lagos Lagoon is an area of salt and brackish water separated from the
adjacent sea by a low-lying sand or shingle barrier. The high level of urbanization
and industrialization of the city of Lagos and its environs with inevitable
generation of domestic and industrial wastes have led to biological consequences
in the coastal aquatic environment (Ajao 1990). The Lagos Lagoon is situated
in the western part of Nigeria . The central body of the Lagoon is located
between longitude 3 0 23' and 3 0 40'E and latitude 6 0 22' and 6 0 28'N. it
is the largest of the four Lagoon system of the Gulf of Guinea Coast (Webb.
1958).
The importance of the Lagoon and estuaries as sources of fishery products
and as desirable recreation areas is now being recognized with increasing awareness.
This is coupled with global increase in population and resultant waste generated.
In the estuaries a large part of conversion of solar energy into plant life
take place and it is where many of the commercially harvested marine animals
begin their lives (Halasi-Kun, 1981; Webb, 1958).
The discharge of raw sewage into the Lagoon has important health implication
(Akpata and Ekundayo 1978; Halasi-kun, 1981). The occurrence of the enteric
organisms and other microorganisms in the Lagos Lagoon may lead to contamination
of aquatic life and other food products, thereby causing possible health hazard
unto those that consume these products. Thus, in the cause of treatment or
control of infectious disease that can originate from this source, the study
of the antibiotic sensitivity profile of the organisms encountered becomes
of importance. Similarly, with recent scientific and biotechnological discoveries,
various strains of microorganisms with unique physiological and biochemical
characteristics has emerged from our environments (Prescott et al ,2002),
Thus much attention is focused on assessing impacts such organisms have on
the ecological environment. Their clinical effects on human health, industrial
values and other socio-economic importance are also considered
MATERIALS AND
METHODS
Sample collection from study site: Specific sites were
mapped out on the Lagos Lagoon for the study with the assistance of the Nigerian
Institute for Oceanography and Marine Research (NIOMR). Twenty four sampling
point were located, with the aid of a compass, from where surface water and
sediment samples were collected. Sterile plastic container was used in collecting
the water with the aid of a Ruttner standard water sampler, 8cm diameter and
50cm long, capacity 500ml. A "Metal grab" was employed in collecting the sediment,
part of this was packed into sterile plastic nylon seals and kept together
with the water samples in the cooler. All stations were sampled in February
and June period.
Laboratory procedure: The salinity of the water sample was determined
using salinometer. According to Okafor (1986), the major property of marine
is its high salinity (or sodium chloride content) which reaches 3.5% in the
open ocean and it varies in the Lagoon. Salinity is recorded as gram of solid
per kilogram of water (0/00) by marine scientists. The antibiotic sensitivity
profile of each isolate was also determined. The water samples were analysed
within 36 hours of sample collection.
Discrete microbial colonies were obtained employing a millipore membrane filter
technique for the surface water while a pour plate technique was used to get
isolated colonies from the sediment sample. The bacterial colonies that grew
on the medium plates were incubated at 37° C for 18-24 hours. After incubation
a gram stained film of each discrete microbial colony was prepared. Each bacterial
isolate was identified based on their morphological characteristics, their
colour, and arrangement of vegetative cell and possession of spores (Robert et
al 1984; Kotzekidou, 1996). Each isolate was preserved on nutrient agar
slopes for further characterization, identification and research purposes.
Antibiotic Sensitivity Test: The in vitro antibiotic
susceptibility testing of bacteria isolates was performed using the standardized
disc agar diffusion method described by Bauer et al . (1996). Paper
disc medium (PDM), Antibiotic sensitivity agar (AB BIO DISK, Solna , Sweden
) was the Plating medium used.
Preparation and Inoculation of Test Plate: Inoculums of each
sample was prepared from an 18-24hours culture suspended in sterile distilled
water and mixed thoroughly to provide homogenous liquid suspension. A sterile
cotton tipped application ( Kemi-Intressen , Sweden ) was dipped into the standardized
bacteria suspension. The swab was then used to streak the entire dried surface
of the PDM Antibiotic sensitivity test agar plate. The inoculated plates were
incubated for 20minutes to allow excess moisture to dry.
Placement of disc: Antibiotic disc were placed at equidistance from
each other on the plate with the aid of a pair of sterile forceps. Each disc
was then pressed firmly onto the agar with the sterile forceps to ensure complete
contact with the agar. The plates were inverted and placed in the refrigerator
for 30minutes to allow for diffusion of the antibiotics into the agar. They
were removed and incubated at 35 0 C for about 18hours. The antibiotic discs
(AB BIODISK, Solna , Sweden ) that were used for this test include:
Gentamicin - 30 μ g/disc;
Nalidixic acid - 30 μ g'disc;
Tetracycline - 30 μ g/disc;
Trimethoprim+Sulfamethoxazole1-2+23.8 μ g/disc;
Trimenthoprim - 1.2 μ g:
Spectinomycin - 30 μ g;
Ampicillin - 10 μ g;
Sulfamethoxazole - 23.8 μ g;
Chloramphenicol - 30 μ g;
Streptomycin - 30 μ g.
Reading and Interpretation of Results
The portion between the end point and the areas showing no visible growth
was taken as the zone of growth inhibition and was measured by means of a ruler
diagonally in millimeters from the underside of the plates. Scanty growths
near the edge of the inhibition zones were regarded as resistant strains. AB
Biodisk manual for interpretive zone diameter standards were used to interpret
the diameter of zone inhibition. Isolates were then scored as either sensitive
or resistant.
RESULTS
Samples used for analysis were obtained from 24 sites in the Lagos Lagoon.
The salinity of the Lagoon water was determined and expressed in part per thousand
(PPT). For the month of February the range was from 4PPT to 14.7PPT. During
the month of June the Salinity ranged from zero (0) value of fresh water to
a high of 12PPT. The average salinity during the mouth of February was 7.6PPT
for the entire period of sampling compared with a significantly lower mean
of 2.03PPT recorded during the month of June (Table 1).
The in vitro antibiotic sensitivity test was performed for all the
bacterial isolate to (Tables 2&3). Table 4 shows the pattern of antibiotic
resistance. A total of 77 strains were tested with 46 (60%) of the strains
showing multiple antibiotic resistance. Moreover, it will be observed in the
result summarized in table 4 that both the Bacillus and enteric group of organisms
which are the predominant microbial strains encountered showed much of the
multiple antibiotic resistance in this study. The pathogenic organisms are
observed to be found in areas of low salinity than in areas of high salinity
(Table 1-3).
DISCUSSION
The in vitro antibiotic sensitivity profile of microbial isolates
encountered in the Lagos Lagoon marine environment was determined. Twenty four
stations were mapped out in the Lagoon by the Nigeria Institute for Oceanography
and Marine Research (NIOMR) Lagos and samples were obtained at these sites.
The salinity profile in this shallow Lagoon probably delinated the limits
of distribution of stenohaline and euryhaline species during the two periods
when samples were collected. Tidal influence and seasonal rainfall have been
reported to cause salinity fluctuation of 20% diurnal and 34% annually (Hill
and web, 1958).
Table 1 shows that the Lagoon salinity was low during the month of June compared
with relatively high salinity recorded for February in most of the designated
stations. These periodic changes in salinity could have influenced seasonal
distribution of microorganisms (Olaniyan 1957; Sandison and Hill, 1966; Fagade
and Olaniyan, 1974).
Table 1: Salinity profile of Lagos Lagoon surface water
Station |
Salinity |
PPT (0/00) |
February |
June |
1 |
9.8 |
12 |
2 |
14.7 |
7 |
3 |
8.2 |
2 |
4 |
9.6 |
4 |
5 |
12.1 |
Fresh |
6 |
14.4 |
1 |
7 |
13.2 |
Fresh |
8 |
5.8 |
1.5 |
9 |
9 |
0.5 |
10 |
9.6 |
Fresh |
11 |
14.9 |
1.5 |
12 |
5.2 |
1.5 |
13 |
4.9 |
1 |
14 |
5.5 |
1.5 |
15 |
4 |
1 |
2 special |
ND |
7 |
9 MJR |
6 |
Fresh |
OGR |
7.5 |
ND |
AGR |
ND |
Fresh |
12/10 |
6 |
10 |
12/14 |
ND |
ND |
Total |
160.4 |
42.49 |
Mean of total |
7.6 |
2.03 |
ND = Not Determined
The in vitro antibiotic sensitivity profile of the isolates were determined;
46 (60%) of these microorganisms tested showed multiple antibiotic resistance.
This included the enteric gram negative short rods such as klebsiella sp.,
Enterobacter sp., and Escherichia coli;.
The prevalence of multiple antibiotic resistant microorganisms in fresh water
as well as marine environment may be important, since their presence indicates
recent contamination with sewage.
Table 2: Antibiotic Sensitivity Profile for Lagos Lagoon Sediment Samples:
ISOLATES |
LAB CODE |
GM |
NA |
TS |
TC |
TR |
AM |
SM |
SC |
SX |
CL |
Bacillus spp. |
1s |
23s |
10R |
23R |
11R |
0R |
0R |
20s |
0R |
11R |
10R |
Bifidobaterium adolescentis |
1m |
23s |
7R |
20R |
18R |
0R |
7R |
13R |
0R |
8R |
8R |
Streptococci fecium |
1b |
20s |
23R |
21R |
7R |
0R |
0R |
14R |
7R |
0R |
0R |
Bacillus spp. |
2s |
25s |
30s |
22s |
27R |
0R |
0R |
23s |
14R |
23s |
28s |
Enterobacter spp |
2b |
20s |
12R |
15R |
8R |
0R |
15R |
0R |
15R |
0R |
25s |
Bacillus spp
Bacillus spp. |
2 special (s)
2 special (b) |
20s
21s |
24R
21R |
25s
21R |
7R
28s |
15R
0R |
8R
10R |
10R
20s |
10R
12R |
12R
20s |
20R
28s |
Bacillus spp.
Enterobacter spp.
Aeromonas hydrophila subs Anarogenes |
3s
3m
3b |
20s
25s
26s |
25R
26s
30s |
0R
18R
37s |
18R
27R
40s |
0R
0R
26s |
8R
8R
34s |
0R
22s
22s |
10R
10R
15R |
0R
20s
30s |
10R
30s
40s |
Bacillus spp.
Bacillus spp. |
4s
4b |
25s
20s |
27s
25R |
25s
20R |
28s
22R |
0R
0R |
10R
10R |
21s
15R |
12R
10R |
25s
0R |
28s
27s |
Escherichia coti
Escherichia coti |
5s
5b |
23s
23s |
25R
26s |
30s
35s |
23R
25R |
18R
25s |
12R
24s |
20s
20s |
15R
22s |
0R
0R |
18R
25s |
Bacillus spp.
Moraxella bovis |
6s
6b |
18R
26s |
23R
30s |
15R
40s |
24R
40s |
0R
25s |
7R
37s |
20s
20s |
11R
16s |
13R
15R |
26s
40s |
Bacillus spp.
Bacillus spp.
Bacillus spp. |
7s
7m
7b1 |
22s
21s
20s |
23R
0R
26s |
18R
0R
16R |
22R
8R
25R |
0R
0R
0R |
0R
0R
11R |
15R
21s
21s |
10R
16s
12R |
8R
16R
16s |
13R
0R
27s |
Bacillus megaterium
Bacillus megaterium
Bacillus spp. |
7b2
8s
8b |
23s
28s
25s |
0R
27s
27s |
0R
22s
15R |
11R
25R
27R |
0R
0R
0R |
0R
10R
10R |
0R
30s
18R |
0R
10R
10R |
0R
25s
20s |
25s
28s
26s |
Bacillus megaterium
Bacillus megaterium
Micrococcus varians
Micrococcus spp. |
9s
9b
9 MJR (s)
9 MJR (b) |
22s
23s
22s
15R |
21R
25R
24R
27s |
12R
0R
19R
20R |
25R
9R
0R
25R |
0R
0R
0R
0R |
12R
0R
0R
8R |
20s
20s
16R
15R |
12R
10R
9R
10R |
17s
0R
0R
20s |
27s
30s
0R
25s |
Bacillus spp.
Bacillus spp. |
5/7 (s)
5/7 (b) |
23s
22s |
26s
22R |
12R
16R |
18R
30s |
0R
0R |
12R
21R |
22s
22s |
11R
15R |
20s
16s |
25s
27s |
Proteus vulgaris
Proteus vulgaris |
10s
10b |
26s
20s |
20R
6R |
10R
20R |
25R
20R |
0R
0R |
10R
10R |
0R
0R |
18s
7R |
0R
10R |
35s
30s |
Bacillus spp.
Bacillus megaterium |
11s
11b |
20s
27s |
25R
19R |
16R
36s |
27R
30s |
0R
30s |
10R
30s |
0R
0R |
15R
20s |
12R
25s |
27s
30s |
Bacillus megaterium
Bacillus spp. |
12s
12b |
15R
30s |
0R
30s |
0R
46s |
22R
40s |
0R
40s |
0R
42s |
15R
26s |
0R
12R |
0R
38s |
0R
34s |
Bacillus spp.
Micrococcus luteus
Bacillus spp. |
10/11s
10/11m
10/11b |
20s
13R
30s |
24R
10R
20R |
20R
7R
32s |
25R
23R
16R |
0R
0R
22s |
0R
0R
33s |
20s
0R
0R |
10R
0R
18s |
10R
0R
15R |
0R
0R
30s |
Enterobacter spp.
Enterobacter spp. |
10/12s
10/12b |
0R
18R |
8R
0R |
32s
12R |
27R
17R |
8R
0R |
8R
0R |
0R
0R |
0R
10R |
28s
0R |
24s
0R |
Bacillus megaterium
Bacillus megaterium
Bacillus spp. |
12/14s
12/14m
12/14b |
21s
20R
21s |
8R
22R
21R |
13R
16R
0R |
21R
27R
24R |
0R
0R
0R |
0R
10R
12R |
0R
21s
20s |
10R
12R
10R |
16R
17R
0R |
22R
24s
25R |
Bacillus spp.
Bacillus polymyxa |
13s
13b |
26s
20s |
10R
15R |
18R
18R |
20R
20R |
0R
14R |
0R
0R |
0R
0R |
12R
0R |
15R
0R |
25s
15R |
Bacillus spp
Bacillus spp. |
14s
14b |
24s
22s |
21R
25R |
21R
18R |
26R
25R |
17s
0R |
0R
0R |
20R
18R |
0R
8R |
0R
17s |
22R
28s |
Klesiella spp
Klesiella spp |
Agboyi (s)
Agboyi (b) |
20s
20s |
17R
12R |
0R
20R |
0R
17R |
0R
0R |
0R
0R |
0R
20s |
0R
0R |
0R
0R |
0R
0R |
Bacillus megaterium
Bacillus spp |
15s
15m |
24s
24s |
0R
10R |
17R
18R |
27R
28s |
0R
0R |
0R
0R |
0R
0R |
13R
12R |
17R
20s |
27s
26s |
Bacillus spp
Bacillus spp |
15b1
15b2 |
22s
20s |
10R
21R |
10R
0R |
25R
10R |
0R
0R |
0R
0R |
22s
0R |
6R
11R |
8R
0R |
28s
27s |
TABLE 3: Antibiotic Sensitivity Profile for Surface Water Samples
ISOLATES |
LAB CODE |
GM |
NA |
TS |
TC |
TR |
AM |
SM |
SC |
SX |
CL |
Escherichia coli |
1 |
18R |
15R |
18R |
18R |
17s |
0R |
16R |
12R |
0R |
22R |
Enterobacter spp. |
2 |
22s |
18R |
25s |
22R |
20s |
9R |
20s |
8R |
0R |
18R |
Bacillus spp. |
2 Special |
25s |
30s |
25s |
15R |
0R |
7R |
23s |
16s |
40s |
32s |
Bacillus spp. |
5 |
28s |
25R |
28s |
25R |
0R |
40s |
15R |
10R |
23S |
35s |
Bacillus spp. |
6 |
26s |
30s |
40s |
36s |
24s |
35s |
16R |
16s |
33s |
38s |
Bacillus spp. |
7 |
0R |
0R |
20s |
0R |
0R |
0R |
0R |
0R |
12R |
0R |
Bacillus spp. |
5/7 |
21s |
20R |
17R |
25R |
0R |
20R |
20s |
13R |
20s |
27s |
Bacillus megaterium |
9 |
20s |
25R |
20R |
6R |
0R |
6R |
18R |
9R |
0R |
27s |
Micrococcus spp. |
9MJR(1) |
26s |
32s |
38s |
38s |
25s |
28s |
24s |
16s |
22s |
31s |
Bacillus spp. |
9MJR(2) |
27s |
29s |
34s |
30s |
22s |
28s |
25s |
13R |
30s |
33s |
Bacillus spp. |
12/10 |
25s |
0R |
0R |
12R |
0R |
0R |
18R |
0R |
OR |
0R |
Micrococcus luteus |
11 |
26s |
22R |
30s |
33s |
30s |
36s |
0R |
25s |
30s |
36s |
Bacillus megaterium |
12 |
28s |
25R |
40s |
33s |
39s |
38s |
22s |
10R |
15R |
30s |
Bacillus megaterium |
14 |
22s |
18R |
21R |
22R |
18s |
0R |
10R |
0R |
0R |
14R |
Bacillus spp. |
AGR |
22s |
18R |
23s |
23R |
15R |
0R |
20s |
20s |
0R |
15R |
Bacillus spp. |
OGR (1) |
20s |
26s |
46s |
36s |
38s |
35s |
25s |
10R |
40s |
30s |
Klebsiella spp. |
OGR (2) |
18R |
17R |
25s |
17R |
19s |
8R |
22s |
14R |
7R |
22R |
Pseudomonas aeroginosa |
OGR (3) |
26s |
40s |
36s |
21R |
42s |
35s |
20s |
16s |
34s |
36s |
Klebsiella spp. |
7/9(b) |
18R |
17R |
26s |
17R |
19s |
9R |
22s |
14R |
7R |
22R |
Escherichia coli |
10/11(s) |
18R |
15R |
17R |
18R |
17s |
0R |
16R |
12R |
0R |
22R |
Micrococcus luteus |
10/11(m) |
20s |
15R |
9R |
28R |
0R |
7R |
0R |
0R |
0R |
7R |
Bacillus spp. |
10/11(b) |
30s |
20R |
31s |
16R |
23s |
33s |
0R |
18s |
15R |
30s |
Bacillus megaterium |
12/14 |
21s |
10R |
15R |
21R |
7R |
0R |
10R |
0R |
16R |
22R |
Bacillus megaterium |
15 |
28s |
10R |
18R |
28s |
0R |
0R |
0R |
13R |
21s |
26s |
LEGEND: S : Sensitive R : Resistant
Antibiotics: G M- Gentamycine; NA- Nalidixic Acid; TS- Trimethoprim
+ Sulfamethoxazole TR- Trimethoprime; AM- Ampicillin; SM- Streptomycin SC-
Spectinomycin; SX- Sulfamethoxazole; CL- Chloramphenicol.
The resistant organisms may also contaminate fish and other products within
the food chain and if such are consumed by humans, it may become part of the
individual's flora. As a result of selective pressure, such organisms may establish
themselves within the individuals and became the predominant microflora. In
the event of infection caused by such organisms, treatment will be difficult.
Individuals coming in contact with the water and with open sores or sounds
may be exposed to contamination with resistant organisms.``
In conclusion, this study shows that Lagos Lagoon is populated with pathogenic
bacteria and that the pathogenic organisms are more likely to be found in areas
of low salinity than in areas of high salinity. The enteric organisms found
in most areas showed multiple antibiotic resistances which is significant health
wise. If such organisms are consumed by marine organisms, they could spread
within the food chain. The study also indicates the prevalence of multiple
antibiotic resistant bacteria isolates in natural water probably as in this
study through contamination with human wastes. The results of antibiotic sensitivity
profile of microbial strains encountered in Lagos Lagoon that is ecologically
marine in nature should be helpful for health-care administrators in proper
monitoring of our natural waters and suggest possible solutions to problems
that may arise from resistant microbial strains that could invade our communities
from these sources
TABLE 4 : Pattern of Antibiotic Resistance
Isolates |
No. of strains tested |
No. (%) that showed multiple resistance. |
Bacillus spp. |
35 |
24 (68.57) |
Bacillus megaterium |
14 |
10 (71.43) |
Micrococcus spp. |
7 |
2 (28.57) |
Klebsiella spp. |
4 |
3 (75) |
Enterobacter spp. |
5 |
3 (60) |
Escherichia spp. |
4 |
2 (50) |
Bacillus polymyxa |
1 |
- |
Viellonella spp. |
- |
- |
Streptococcus spp. |
1 |
- |
Proteus vulgaris |
2 |
2 (100) |
Pseudomonas |
1 |
- |
Aeromonas hydrophila Subspecies anaerogenes |
1 |
- |
Bafidobacterium adolescentis |
1 |
- |
Moraxella bovis |
1 |
- |
Total |
77 |
46 (60) |
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