Assessment of microbial diversity in marine waters along ... · Monitoring the microbiological...
Transcript of Assessment of microbial diversity in marine waters along ... · Monitoring the microbiological...
Advances in Environmental Biology, 11(8) August 2017, Pages: 11-24
AENSI Journals
Advances in Environmental Biology
ISSN-1995-0756 EISSN-1998-1066
Journal home page: http://www.aensiweb.com/AEB/
Copyright © 2017 by authors and American-Eurasian Network for Scientific Information (AENSI Publication).
Assessment of microbial diversity in marine waters along the Uran coastal area of Navi Mumbai, Maharashtra, India
Prabhakar R. Pawar
Arts, Science and Commerce College, Department of Zoology, Mokhada, Dist. – Palghar, Pin - 401 604, India. Address For Correspondence: Prabhakar R. Pawar, Arts, Science and Commerce College, Department of Zoology, Mokhada, Dist. – Palghar, Pin - 401 604, India E-mail: [email protected] This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/
Received 13 May 2017; Accepted 27 July 2017; Available online 26 September 2017
ABSTRACT The objective of this study was to evaluate the diversity of total coliforms, fecal coliforms and pathogenic bacteria from three study sites
(Sheva creek, Peerwadi coast and Dharamtar creek) along Uran coastal area of Navi Mumbai. Uran is located along the eastern shore of
Mumbai harbor opposite to Coloba and is included in the planned metropolis of Navi Mumbai and its port, the Jawaharlal Nehru Port (JNP). Surface water samples were collected during spring low tides for microbial diversity monthly from June 2013 to May 2015. Standard
microbiological methods like Presumptive test (Most Probable Number and Standard Plate Count), Confirmed test (Inoculation on slants
and plates) and Completed tests (Colony morphology, Gram staining and Biochemical tests) were adopted for present study. A total of 11 bacterial species belonging to 9 genera, 5 families, 4 orders and 4 classes were isolated from marine water samples. Identified bacterial
strains were represented by Bacillus subtilis, Escherichia coli, Klebsiella pneumonia, Micrococcus luteus, Providencia rettgeri,
Pseudomonas aeruginosa, Salmonella enterica, Salmonella typhimurium, Shigella flexneri, Staphylococcus aureus and Staphylococcus epidermidis. Of the recorded bacterial species, 54.55% belonged to Enterobacteriaceae, 18.18% to Staphylococcaceae and 9.09% each to
Bacillaceae, Micrococcaceae and Pseudomonadaceae. Heavy microbial load reported in marine waters of Uran is correlated to the disposal
of untreated sewage and waste water, lack of sanitary facilities, human settlement in the vicinity of the coast, poverty among local community and discharge of untreated effluents from Jawaharlal Nehru Port (JNP) and other port related establishments. Presence of
potential pathogenic bacteria could pose a high health risk to the local community due to contamination of fishery and aquaculture products.
KEYWORDS: Contamination, Coliforms, E. coli, Fecal pollution, Microbial diversity, Jawaharlal Nehru Port, Uran
INTRODUCTION
The study of marine bacterial diversity is important in order to understand the community structure and
pattern of distribution. In the marine environment, 90% of bacteria are Gram-negative with different
characteristics and are better adapted for survival in the marine environment. Bacteria maintain the pristine
nature of the environment and also serve as biological mediators through their involvement in the
biogeochemical processes like breakdown of organic matter, mineral cycle and sedimentation. Marine microbes
are a potential source for commercially important bioactive compounds and also show bioremediation capability
[6].
The sources of coastal water contamination are point discharges (discharge of treated and untreated sewage
from shoreline outfalls), and non-point discharges (runoff from naturally vegetated areas, the storm water runoff
from urban, commercial, and industrial lands and malfunctioning or poorly sited septic systems) introduce
significant amounts of pathogens in coastal waters. Water-borne pathogen contamination in water resources and
12 Prabhakar R. Pawar, 2017
Advances in Environmental Biology, 11(8) August 2017, Pages: 11-24
related diseases are a major water quality concern throughout the world. Gastrointestinal diseases caused by
various bacteria, viruses, and protozoa have been the causes of many outbreaks [17].
Monitoring the microbiological quality of water relies largely on examination of indicator bacteria such as
coliforms, Escherichia coli, and Pseudomonas aeruginosa. E. coli is a member of the faecal coliform group and
is a more specific indicator of faecal pollution than other faecal coliforms. E. coli are the predominant member
of the human colonic normal flora with its only natural habitat is the large intestine of warm-blooded animals.
With few exceptions, E. coli generally does not survive well outside of the intestinal tract and its presence in
environmental samples, indicates recent faecal contamination [8, 15, 28].
Among the leading sources of chemical and biological contamination of waters and associated beaches are
sewer systems, septic tanks, storm water runoff, industrial wastes, wastewater injection wells, cesspits, animal
wastes, commercial and private boat wastes, and human recreation. One of the primary concerns in public health
is the risk that humans using the marine environment for recreational activities will encounter microbial
pathogens [2, 12].
Population explosion and inadequate infrastructure to properly treat and dispose the sewage, lack of
sanitary condition, poverty, overexploitation of natural water has resulted in the discharge of considerable
quantities of untreated waste into the natural waters. This organic pollution is especially severe in the coastal
waters due to the large density of inhabitants in coastal areas [3, 13].
Assessment of water contamination requires both quantitative and qualitative analysis to pinpoint the
location and the identity of water pollution. Effective method for monitoring water constituents includes
microbiological techniques, including culturing and plating of water borne-microbes [7].
Due to onset of Jawaharlal Nehru Port (JNP, an international port), and port associated establishments like
Oil and Natural Gas Commission (ONGC), Liquid Petroleum Gas Distillation Plant, Grindwell Norton Ltd., Gas
Turbine Power Station (GTPS), Bharat Petroleum Corporation Limited (BPCL) Gas Bottling Plant, DP World,
and large number of Container Freight Stations [CFS] in the mangroves stretch of coastal ecosystem of Uran, it
is under considerable stress [18, 19]. Uran coast is a famous tourist spot in Navi Mumbai and large number of
tourists visits the Peerwadi coast on weekends. These activities affect the water quality and coastal marine
diversity from Uran coast resulting in coastal pollution due to anthropogenic inputs [20, 21, 22, 23].
Though published literature is available on the water quality of coastal ecosystem of in and around
Mumbai, no detailed reports are available on the microbial diversity from coast of Mumbai and Navi Mumbai;
hence the present study is undertaken. Objective of the present study is to evaluate the microbial diversity in
relation to the impacts of pollution in marine waters along Uran coast, Navi Mumbai with respect to E. coli,
total coliforms and fecal coliforms.
MATERIALS AND METHODS
Study Area:
Uran (18º 50'5'' to 18º50'20'' N, 72º57'5'' to 72º57'15'' E) with the population of 28,620 is located along the
eastern shore of Mumbai harbor opposite to Coloba. Uran is bounded by Mumbai harbor to the northwest,
Thane creek to the north, Dharamtar creek and Karanja creek to the south, and the Arabian Sea to the west. Uran
is included in the planned metropolis of Navi Mumbai and its port, the Jawaharlal Nehru Port (JNPT) (Fig. 1).
The Uran coast is a tide-dominated and the tides are semidiuranal. The average tide amplitude is 2.28 m.
The flood period lasts for about 6–7 h and the ebb period lasts for about 5 h. The average annual precipitation is
about 3884 mm of which about 80% is received during July to September. The temperature range is 12–36ºC,
whereas the relative humidity remains between 61% and 86% and is highest in the month of August.
13 Prabhakar R. Pawar, 2017
Advances in Environmental Biology, 11(8) August 2017, Pages: 11-24
Fig. 1: Map showing the location of three study sites namely the Sheva creek, Peerwadi coast and the
Dharamtar creek along Uran coast
Study Location:
For the present study, three sampling sites, namely Sheva creek, site I (18º 50' 20'' N, 72º 57' 5'' E),
Peerwadi coast, site II (18º 50' 10'' N, 72º 57' 1'' E) and Dharamtar creek, site III (18º 48' 3'' N, 72º 58' 31'' E)
separated approximately by 10 km were selected. These sites were selected on the basis of their strategic
locations for Jawaharlal Nehru Port, industries, port related infrastructural facilities and different anthropogenic
activities along the entire coastal area.
Sheva creek is characterized by extensive mud flats with sparse mangrove vegetation and less rocky
stretches. Jawaharlal Nehru Port (JNP) and other port related establishments are located in the stretch of the
creek. Gharapuri Island (Elephanta caves), a famous tourist spot is present on the north side of the creek.
Intertidal region of Peerwadi coast has major portion of rocky substratum. Dharamtar creek is with rocky and
coral substratum towards the Dronagiri Mountain whereas remaining part of the creek is dominated by the
marshy areas and mud flats. Towards the Revas and Karanja side, the Dharamtar creek has mangrove associated
habitats due to presence of dense and natural mangrove habitat. Sheva creek and Dharamtar creek are
considered as high anthropogenic pressure zones.
Field Sampling:
The present study was carried out for a period of two years, i.e., from June 2013 to May 2015. At each site,
three sampling stations separated approximately by 1 km were set up for sample collection.
14 Prabhakar R. Pawar, 2017
Advances in Environmental Biology, 11(8) August 2017, Pages: 11-24
Surface water samples were collected seasonally during spring low tides. Samples were collected in heat-
sterilized glass bottles of 250 ml capacity with ground glass stopper. To neutralize the bactericidal effect of
chlorine in water, 0.25 ml of fresh 1.8 % aqueous solution of sodium thiosulphate was added in sample bottles.
Sample bottle were filled by holding it at its lower part and submerge it to a depth of about 30 cm with mouth
facing slightly upward. Bottles were stoppered immediately and were wrapped in a Kraft paper. Water samples
were properly labeled with full details of the source, time and date of collection.
Immediately after collection, samples were placed in cooling boxes and immediately transferred to the
laboratory. In the laboratory, all water samples were stored in a 40C freezer until microbiological analyses were
carried out within 24 h of sampling and stored at 40C according to the standard method [1].
Laboratory analysis:
Serial dilutions of water samples were made following standard methods. Standard microbiological
methods described by APHA [1], Cappuccino and Sherman [5] and Food Safety & Standards Authority of India,
Lab Manual 14 [9] were followed for bacteriological analysis of water. Enumeration for Escherichia coli, total
coliforms, fecal coliforms and coliform species identification was made using presumptive test, confirmed test
and completed tests by methods based on lactose fermentation.
Table 1: Standard methods adopted for microbiological studies of water
Test Technique Medium
Presumptive Test Most Probable Number (MPN) Brilliant Green Bile Broth (HIMEDIA Mumbai M121)
Standard Plate Count (SPC) Nutrient agar (NA)
(HIMEDIA Mumbai M001) Mineral Modified Glutamate Agar (MMGA)
(HIMEDIA Mumbai M6431)
Confirmed Test Inoculation on slants and plates of selective &
differential media
Endo agar
(HIMEDIA Mumbai M1077) MacConkeys agar
(HIMEDIA Mumbai M081B)
Completed Tests for
coliform species
identification
Colony morphology -----
Gram staining -----
Motility test Hanging Drop Method
Biochemical Tests
Indole Production test Tryptone water
(HIMEDIA Mumbai M463)
Methyl Red test MR-VP Broth (HIMEDIA Mumbai M070)
Voges- Proskauer test MR-VP Broth
(HIMEDIA Mumbai M070)
Citrate Utilization test Simmon’s Citrate Agar (HIMEDIA Mumbai M099)
Urease test Urea broth
(HIMEDIA Mumbai M112)
H2S Production test SIM agar (HIMEDIA Mumbai M181F)
Nitrate Reduction test Trypticase nitrate broth
(HIMEDIA Mumbai M439S)
Litmus Milk test Litmus milk broth
(HIMEDIA Mumbai M609)
Expression of result:
Colonies were counted using Quebec colony counter and the results were expressed as number of
microorganisms per ml of original culture is calculated by multiplying the number of colonies counted by the
dilution factor:
Number of cells per ml = number of colonies X dilution factor
RESULTS AND DISCUSSION
A total of 11 bacterial species belonging to 9 genera, 5 families, 4 orders and 4 classes were isolated from
marine water samples from Sheva creek, Peerwadi coast and the Dharamtar creek along Uran coast. Identified
bacterial strains were represented by Bacillus, Escherichia, Klebsiella, Micrococcus, Providencia,
Pseudomonas, Salmonella, Shigella and Staphylococcus. Of the recorded bacterial species, 54.55% belonged to
Enterobacteriaceae, 18.18% to Staphylococcaceae and 9.09% each to Bacillaceae, Micrococcaceae and
Pseudomonadaceae (Fig. 2).
15 Prabhakar R. Pawar, 2017
Advances in Environmental Biology, 11(8) August 2017, Pages: 11-24
Fig. 2: Percentage representation of families of bacteria from water of Uran coast
To detect coliform bacteria (indicators of fecal contamination) in water, the three basic tests like
presumptive, confirmed, and completed tests are performed sequentially on each water sample.
A. Presumptive test for total coliforms:
Presumptive test is performed to determine presence of coliform bacteria in a water sample and also to
obtain an index indicating the possible number of organisms present in the sample.
Most Probable Number (MPN):
The data on Presumptive test by Most Probable Number (MPN) of the water indicates that at all sites; the
MPN Index/100 ml of water sample is highest during monsoon. In monsoon, at site I and II, the MPN Index/100
ml is 1600 where as at site III, it was ≥ 2400. In pre-monsoon, the MPN Index/100 ml at all sites is in the range
of 33 to 110 while in post-monsoon, it was within the range of 14 to 21 (Table 2).
Significantly high MPN Index/100 ml recorded at all sites is correlated to the storm water runoff which is a
significant source of pollution to the sea, which can include bacteria, viruses and sediment. It is also attributed to
the agricultural, urban surface run-off, waste water discharges and from domestic and wild animals. Stream
flow-River flow is the primary transport media of fecal coliform bacteria to ocean [4, 16].
Table 2: Most Probable Number (MPN) of water of Uran coast
Sr. No. Season Site Gas Reading MPN Index/
100 ml
Mean MPN
Index/
100 ml.
10 X 1 X 0.1 X
Tube Tube Tube
1 2 3 4 5 1 2 3 4 5 1 2 3 4 5
1
Post-
monsoon Nov 2013
I - + - + + - + - - + + - - - - 3 – 2-1 17
18
II + + - + - - - - + + - - - - + 3 – 2-1 14
III + - + + + + - - - - - - + - - 4 – 1-1 21
2
Pre-
monsoon
May 2014
I + + + + - + + - + - - - - - + 4 – 3-1 33 69
II + + + + + - + - - - + - - - + 5 – 1- 2 63
III + + + + + + + - + - - + - - - 5 – 3-1 110
3
Monsoon
Aug 2014
I + + + + + + + + + + + - + + + 5 – 5- 4 1600
1867 II + + + + + + + + + + + + + + - 5 – 5- 4 1600
III + + + + + + + + + + + + + + + 5 – 5- 5 ≥ 2400
16 Prabhakar R. Pawar, 2017
Advances in Environmental Biology, 11(8) August 2017, Pages: 11-24
Standard Plate Count (SPC):
Results on Standard Plate Count (SPC) for coliforms in water are in agreement with the MPN Index/100 ml.
Highest bacterial density was recorded during monsoon at all sites followed by pre-monsoon and post-monsoon.
Bacterial count in the range of 236-583 CFU/ml is recorded during monsoon whereas in pre-monsoon and post-
monsoon, they are in the range of 67-162 CFU/ml and 65-137 CFU/ml respectively. High densities of bacteria
recorded from marine waters of Uran is correlated to the discharge of untreated effluents, gastrointestinal inputs
and greater from municipal sewage contamination [11, 25] (Table 3).
Table 3: Standard Plate Count (SPC) on Nutrient Agar/MMGA of water of Uran coast
Petri
Plate
Dilu tion
Dilution Factor
Site
No. of colonies
per plate
No. of colonies
SPC/ml= ────────
Dilution factor
Mean
SPC/ml
Average
SPC/ml
Sample Sample
Post-
mon
Nov 2013
Pre-
mon
May 2014
Mon
Aug
2014
Post-
mon
Nov 2013
Pre-
Mon
May 2014
Mon
Aug
2014
A
1 ml
from
10-4
10-4
I 137 67 583 137X104 67X104 583X104 263X104
222X104 II 65 162 236 65 X104 162X104 236X104 176X104
III 97 113 473 97X104 113X104 473X104 228X104
B
1 ml from
10-5
10-5
I 50 41 434 50X105 41X105 434X105 175X105 155X105 II 54 118 181 54X105 118X105 181X105 118X105
III 72 53 391 72X105 53X105 391X105 172X105
C 1 ml
from 10-6
10-6
I 30 28 387 30X106 28X106 387X106 149X106
116X106 II 41 63 124 41X106 63X106 124X106 76X106
III 43 39 289 43X106 39X106 289X106 124X106
D 1 ml from
10-7
10-7
I 22 17 213 22X107 17X107 213X107 84X107 67X107 II 34 32 96 34X107 32X107 96X107 54X107
III 27 21 138 27X107 21X107 138X107 62X107
B. Confirmed test for total coliforms:
(Inoculation on Slants and Plates of Selective & Differential media)
Confirmed test is performed to confirm the presence of coliform bacteria in a water sample for which the
presumptive test was positive. To distinguish among morphologically and biochemically related groups of
organisms, selective and differential media (Endo agar and MacConkeys agar) be streaked from a positive
lactose broth tube obtained from the presumptive test. Results of inoculation on slants and plates of Endo agar
and MacConkeys agar shows circular and irregular colonies with size ranging from 1 - 6 mm. Pigmentation of
the colonies vary from creamy, blue green, grey or pinkish red.
C. Completed test for coliform species identification:
Completed test is performed to confirm the presence of coliform bacteria. The isolated coliform colonies
appeared on Endo agar and MacConkeys agar were picked from the confirmatory test plate and examined for
colony morphology, Gram staining and motility test (Table 4). Species identification and differentiation of
enteric coliforms of the family Enterobacteriaceae was made on the basis of their biochemical properties and
enzymatic reactions in the presence of specific substrate from the results of biochemical tests like Indole
Production test, Methyl Red test, Voges- Proskauer test, Citrate Utilization test, Urease test, H2S Production test,
Nitrate Reduction test and Litmus Milk test (Table 5 to Table 13) (Fig. 3).
Eleven species of bacteria representing 9 genera, 5 families and 4 orders were identified from the water
samples of Uran coast. These include Bacillus subtilis, Escherichia coli, Klebsiella pneumonia, Micrococcus
luteus, Providencia rettgeri, Pseudomonas aeruginosa, Salmonella enterica, Salmonella typhimurium, Shigella
flexneri, Staphylococcus aureus and Staphylococcus epidermidis (Table 14).
Significantly high density of bacteria recorded during monsoon could be due to increased land runoff along
with reduced intensity of sunlight due to overcast conditions monsoon [13]. It is also correlated to the increased
turbidity from land runoff causing reduction in penetration of sunlight resulting in extended survival of indicator
bacteria [27].
Engelbrecht and Tredoux [8] reported that a 100 faecal coliform count represents a 60-E. coli count, while
2000 faecal coliforms represent 1200 E. coli. Geissler et al. [10] documented that E. coli is generally considered
the most reliable since its presence directly relates to faecal contamination with its implied threat of the presence
of enteric diseases. According to Tallon et al [29], E. coli is a member of thermotolerant and is an indigenous
member of the intestinal flora of healthy humans and warm-blooded animals. In present study, detection of E.
coli at all the three study sites indicates fecal pollution of recent origin.
Higher density of coliforms recorded in present study is attributed to discharge of wastewater, especially
sewage disposal with fecal material contaminated by human and warm-blood animals; runoff after rain and
hurricane and direct contamination by wild animals [14].
17 Prabhakar R. Pawar, 2017
Advances in Environmental Biology, 11(8) August 2017, Pages: 11-24
Results of the characteristic features of the bacterial strains by biochemical tests are in agreement with
the work of Ramesh Babu et al [24] on microbial status and characteristic features from polluted coastal habitats
at Visakhapatnam, India, Saravanan et al [26] on microbial diversity in marine ecosystem of Parangipettai,
Tamil Nadu, India and Yazhini et al [30] on microbial contamination of sea water at Puducherry sea shore,
India.
The Uran coast acts as a sink receiving large daily volume of domestic and industrial wastes and effluents
from Asia’s largest industrialized zone namely Thane Belapur industrial area, Navi Mumbai Municipal
Corporation and effluents from Jawaharlal Nehru Port [19]. Maritime activities of JNP and local dredging
activities have promoted the changes in physico-chemical parameters, and inorganic nutrients in the seawater
surrounding the Jawaharlal Nehru Port [18]. Anthropogenic impact of these activities has affected the water
quality and diversity of macrobenthos from coastline of Uran [21, 22, 23].
Since no reports are available on the microbial pollution from Uran coastal area, results of the study can be
used as the baseline for future research. It will further helpful to develop the management strategy for the
conservation of coastal marine ecosystem.
Table 4: Colony characteristics of bacterial strains isolated from water along Uran coast
Colony
characteristics
Bacterial species
1 2 3 4 5 6
Size 2-4 mm 3-6 mm 2-5 mm 2 mm ~ 4 mm 2-4 mm
General Surface Form
Irregular Circular Circular Circular Circular Circular
Elevation Umbonate Slightly Raised Umbonate Convex Convex Low convex
Margin Undulate Entire Entire/
Undulate
Entire - Undulate
Texture Rough Smooth Mucoid Smooth - Smooth
Appearance Dull Shiny Shiny - Dull -
Pigmentation White to
creamy or brownish
Colourless
/Cream
White Bright yellow
Non-diffusing
Grey Blue green
Optical Property Opaque Translucent Translucent - Opaque Translucent
Morphology Rod Rod Rod Coccus Straight Rod Rod
Motility Motile Motile Non-motile Non-motile Motile Motile
Gram Staining Gram +ve Gram –ve Gram –ve Gram +ve Gram –ve Gram –ve
Bacillus subtilis
Escherichia coli
Klebsiella pneumoniae
Micrococcus luteus
Providencia rettgeri
Pseudomonas aeruginosa
Table 4: Continued.
Colony characteristics
Bacterial species
7 8 9 10 11
Size 2-4 mm 2-4 mm 2 mm 1-2 mm 1-2 mm
General Surface
Form
Circular Circular Circular Circular Circular
Elevation Convex Raised Convex Raised Convex Convex
Margin Entire - Entire edges Entire Entire
Texture Smooth Smooth Smooth Smooth Smooth
Appearance Shiny Moist - - Shiny
Pigmentation Colourless Grey Colourless White Golden-brown
Optical Property Translucent - Moderately translucent
- Opaque
Morphology Rod Rod Rod Coccus Coccus
Motility Motile Motile Non-Motile Non-motile Non-motile
Gram Staining Gram –ve Gram –ve Gram –ve Gram +ve Gram +ve
Salmonella typhimurium
Salmonella enterica
Shigella flexneri
Staphylococcus epidermidis
Staphylococus aureus
Table 5: Indole production test of water of Uran coast
Sr. No.
Season Site Test tube
A
(Control)
B C D E
1
Post-monsoon
Nov 2013
I - + + + +
II - + + + +
III - + + + +
2
Pre-monsoon
May 2014
I - + + + +
II - + + + +
III - + + + +
3
Monsoon
Aug 2014
I - + + + +
II - + - - -
III - + + + +
18 Prabhakar R. Pawar, 2017
Advances in Environmental Biology, 11(8) August 2017, Pages: 11-24
Table 6: Methyl Red (M. R.) test of water of Uran coast
Sr. No. Season Site Test tube
A (Control)
B
1
Post-monsoon
Nov 2013
I - +
II - +
III - +
2
Pre-monsoon May 2014
I - +
II - +
III - -
3
Monsoon
Aug 2014
I - -
II - -
III - -
Table 7: Voges - Proskauer test (V. P. test) of water of Uran coast
Sr. No. Season Site Test tube
A
(Control)
B
1
Post-monsoon
Nov 2013
I - +
II - +
III - +
2
Pre-monsoon
May 2014
I - +
II - +
III - +
3
Monsoon
Aug 2014
I - +
II - +
III - +
Table 8: Citrate utilization test of water of Uran coast
Sr.
No.
Season Site Test tube
A
(Control)
B
1
Post-monsoon
Nov 2013
I - +
II - +
III - +
2
Pre-monsoon
May 2014
I - -
II - +
III - +
3
Monsoon Aug 2014
I - +
II - +
III - +
Table 9: Hydreogen sulfide test of water of Uran coast
Sr. No.
Season Site Test tube
Colour of medium
H2S production (positive)
H2S production (negative)
1
Post-monsoon
(Oct13 to Jan 14)
I B Black +
II B +
III B +
2
Pre-monsoon
(Feb 14 to May
14)
I B No black colour +
II B +
III B +
3
Monsoon
(Jun 14 to Sept 14)
I B Black +
II B +
III B +
Control I, II, III A No black colour +
Table 10: Urease test of water of Uran coast
Sr. No.
Season Site Test tube Colour of medium
Urea Hydrolysis (positive)
Urea Hydrolysis (negative)
1
Post-monsoon
(Oct13 to
Jan 14)
I B Light Orange +
II B Light Orange +
III B Light Orange +
2
Pre-monsoon (Feb 14 to May
14)
I B Light Orange +
II B Light Orange +
III B Light Orange +
3
Monsoon
(Jun 14 to Sept
14)
I B Deep Pink +
II B Light Orange +
III B Light Orange +
Control I, II, III A Light Orange +
19 Prabhakar R. Pawar, 2017
Advances in Environmental Biology, 11(8) August 2017, Pages: 11-24
Table 11: Litmus milk reactions of water of Uran coast
Table 11(a): Lactose fermentation:
Sr.
No.
Season Site Test
tube
Appearance
of medium
Lactose
fermentation
(acid)
Acid
followed
by reduction
Acid, reduction
and curd
Acid, gas
reduction and
curd
1
Post-monsoon (Oct13 to
Jan 14)
I B Orange - - + +
II B Orange - - + +
III B Orange - - + +
2
Pre-monsoon
(Feb 14 to May 14)
I B Orange - - + +
II B Orange - - + +
III B Orange - - + +
3
Monsoon (Jun 14 to
Sept 14)
I B Pink band at the top of the
medium
-
+
-
-
II B Pink band at the top of the
medium
-
+
-
-
III B Pink band at the
top of the medium
-
+
-
-
Control I, II,
III
A Brick Red - - - -
Table 11(b):
Sr.
No.
Season Site Test
tube
Appearance of
medium
Litmus
reduction
Proteolysis Alkaline
reaction
1
Post-monsoon
(Oct13 to
Jan 14)
I B Medium is unchanged - - +
II B Medium is unchanged - - +
III B Medium is unchanged - - +
2
Pre-monsoon
(Feb 14 to May 14)
I B Medium is unchanged - - +
II B Medium is unchanged - - +
III B Medium is unchanged - - +
3
Monsoon
(Jun 14 to
Sept 14)
I B Brownish translucent
medium
- + -
II B Brownish translucent
medium
- + -
III B Brownish translucent
medium
- + -
Control I, II,
III
A Brick Red - - -
Table 12: Nitrate reduction test of water of Uran coast
Sr.
No.
Season
Site Test
tube
Red coloration
with solution A and B
(+) or (-)
Red coloration
with Zinc (+) or (-)
Nitrate
reduction (+) or (-)
End
products
1
Post-monsoon (Oct13 to Jan
14)
I B Red colour - - NO3
II B Red colour - - NO3
III B Red colour - - NO3
2
Pre-monsoon
(Feb 14 to May
14)
I B No Red colour No Red colour + NO2/NH3/N2
II B No Red colour No Red colour + NO2/NH3/N2
III B No Red colour No Red colour + NO2/NH3/N2
3
Monsoon (Jun 14 to Sept
14)
I B Red colour - - NO3
II B No Red colour No Red colour + NO2/NH3/N2
III B No Red colour No Red colour + NO2/NH3/N2
Control I, II, III A Red colour - - NO3
Table 13: Biochemical tests of bacterial strains isolated from water along Uran coast
Sr.
No.
Bacterial species Bio-chemical tests
Indole
production
test
Methyl
Red
test
Voges-
Proskauer
test
Citrate
utilization
test
H2S
production
test
Urease
test
Litmus
milk
test
Nitrate
reduction
test
1 Bacillus subtilis - + + + + - -
2 Escherichia
coli
+ + - - - - + +
3 Klebsiella pneumoniae
- - + + - + + +
4 Micrococcus
luteus
- - + + - + -
5 Providencia rettgeri
+ + - + - +
6 Pseudomonas
aeruginosa
- - - + - - +
20 Prabhakar R. Pawar, 2017
Advances in Environmental Biology, 11(8) August 2017, Pages: 11-24
7 Salmonella
typhimurium
- + - + + - + +
8 Salmonella enterica
- + - + + - +
9 Shigella flexneri - + - - - - +
10 Staphylococcus
epidermidis
- + - + + +
11 Staphylococus
aureus
- + + + - +
+
Table 14: Species diversity of bacteria recorded from water along Uran coast
Phylum Class Order Family Binomial Name
Actinobacteria Actinobacteria Micrococcales Micrococcaceae Micrococcus luteus (Schroeter
1872)
Firmicutes Bacilli Bacillales Bacillaceae Bacillus subtilis (Ehrenberg 1835)
Firmicutes Bacilli Bacillales Staphylococcaceae Staphylococcus epidermidis
(Winslow & Winslow 1908)
Firmicutes Coccus Bacillales Staphylococcaceae Staphylococcus aureus (Rosenbach 1884)
Proteobacteria Gamma-
proteobacteria
Enterobacteriales Enterobacteriaceae Escherichia coli (Migula 1895)
Proteobacteria Gamma-proteobacteria
Enterobacteriales Enterobacteriaceae Klebsiella pneumoniae (Schroeter 1886)
Proteobacteria Gamma-
proteobacteria
Enterobacteriales Enterobacteriaceae Providencia rettgeri
(Rettger 1904)
Proteobacteria Gamma-proteobacteria
Enterobacteriales Enterobacteriaceae Salmonella enterica (Le Minor & Popoff 1987)
Proteobacteria Gamma-
proteobacteria
Enterobacteriales Enterobacteriaceae Salmonella
typhimurium (Lignieres 1900)
Proteobacteria Gamma-
proteobacteria
Enterobacteriales Enterobacteriaceae Shigella flexneri
(Castellani & Chalmers 1919)
Proteobacteria Gamma-
proteobacteria
Pseudomonadales Pseudomonadaceae Pseudomonas aeruginosa
(Schröter 1872)
Monsoon_SPC_MC_Site I Monsoon_SPC_MC_Site II
21 Prabhakar R. Pawar, 2017
Advances in Environmental Biology, 11(8) August 2017, Pages: 11-24
Monsoon_SPC_MC_Site III _A Monsoon_SPC_MC_Site III _B
Post-monsoon_SPC_NA_Site II_A Post-monsoon_SPC_NA_Site II_B
Fig. 3: Colonies of identified bacterial strains
22 Prabhakar R. Pawar, 2017
Advances in Environmental Biology, 11(8) August 2017, Pages: 11-24
Pre-monsoon_SPC_Endo_Site_ III Pre-monsoon_SPC_MC_Site_ I
Fig. 3: Continued.
Conclusion:
Results of the present study showed that marine waters along the Uran coastal area is undergoing severe
sewage pollution. Presence of pathogenic or potentially pathogenic bacterial strains like Bacillus subtilis,
Escherichia coli, Klebsiella pneumonia, Micrococcus luteus, Providencia rettgeri, Pseudomonas aeruginosa,
Salmonella enterica, Salmonella typhimurium, Shigella flexneri, Staphylococcus aureus and Staphylococcus
epidermidis indicates the fecal contamination in coastal water. Heavy microbial load reported in marine waters
of Uran is correlated to the disposal of untreated sewage and waste water, lack of sanitary facilities, human
settlement in the vicinity of the coast, poverty among local community and discharge of untreated effluents from
Jawaharlal Nehru Port (JNP) and other port related establishments. Presence of potential pathogenic bacteria
could pose a high health risk to the local community due to contamination of fishery and aquaculture products.
ACKNOWLEDGEMENTS
Financial support provided by University Grants Commission, New Delhi [File No: 42–546/2013 (SR)
dated 22nd Mar 2013] is gratefully acknowledged. The author is thankful to The Principal, Veer Wajekar Arts,
Science and Commerce College, Mahalan Vibhag, Phunde (Uran), Navi Mumbai 400 702 for providing
necessary facilities for the present study. Special thanks to Dr. Rahul B. Patil for providing healthy cooperation
during field visits for photography of the study sites. Thanks are due to Mr. Sanket S. Shirgaonkar, who worked
as a Project Fellow for the present study. Thanks to Dr. Atul G. Babar for the graphic design of the study area
and the distribution maps.
REFERENCES
[1] American Public Health Association (APHA). 2005. Standard methods for the examination of water and
wastewater. Vol. 21. American Public Health Association; Washington, D.C.
[2] Ashbolt, Nicholas J., Willie O.K. Grabow and Mario Snozzi, 2001. Indicators of microbial water quality.
World Health Organization (WHO). Water Quality: Guidelines, Standards and Health. Ed. by Lorna
Fewtrell and Jamie Bartram. Pub. by IWA Publishing, London, UK. ISBN: 1 900222 28 0.
[3] Banoo, Sabnam., Rabi Narayan Kar and Chitta Ranjan Panda, 2014. Seasonal variation and distribution of
sewage pollution indicator and human pathogenic bacteria along Odisha coast. Indian J Mar Sci., 43(5):
859-869.
[4] Bose, Rahul., Hare Krishna Jana, Sufia Zaman and Abhijit Mitra, 2014. Study of the Microbial Health in
and Around the Lower Stretch of Hooghly Estuary. J Marine Sci Res Development, S11: 004.
doi:10.4172/2155-9910.S11-004.
[5] Cappuccino, James G., and Natalie Sherman, 2004. Microbiology: A Laboratory Manual. PEARSON
Education, Inc. 7th Edition. pp: 528.
23 Prabhakar R. Pawar, 2017
Advances in Environmental Biology, 11(8) August 2017, Pages: 11-24
[6] Das, Surajit., P.S. Lyla and S. Ajmal Khan, 2006. Marine microbial diversity and ecology: importance and
future perspectives. Current Science, 90(10): 1325-1335.
[7] EDVOTEK. 2013. Water Quality Testing I: Chromogenic Analysis of Water Contaminants. EDVO-Kit
951, pp: 1-13.
[8] Engelbrecht, J.F.P. and G. Tredoux, 2004. Marine Pollution Indicators. Procd. of the Water Institute of
Southern Africa (WISA) Biennial Conference, 2 - 6 May 2004, Cape Town, South Africa. ISBN: 1-920-
01728-3.
[9] Food Safety and Standards Authority of India, 2012. Manual of Methods of Analysis of Foods:
Microbiological Testing. Lab Manual 14. Food Safety and Standards Authority of India, Ministry of Health
and Family Welfare, Government of India, New Delhi. pp: 105.
[10] Geissler, K., M. Manafi, I. Amoros and J.L. Alonso, 2000. Quantitative determination of total coliforms and
Escherichia coli in marine waters with chromogenic and fluorogenic media. J. Appl. Micro. 88: 280-285.
[11] Ghaderpour, Aziz., Khairul Nazrin Mohd Nasori, Li Lee Chew, Ving Ching Chong, Kwai Lin Thong and
Lay Ching Chai, 2014. Detection of multiple potentially pathogenic bacteria in Matang mangrove estuaries,
Malaysia. Marine Pollution Bulletin, 83: 324-330. http://dx.doi.org/10.1016/j.marpolbul.2014.04.029.
[12] Griffin, Dale W., Erin K. Lipp, Molly R. Mclaughlin and Joan B. Rose, 2001. Marine Recreation and Public
Health Microbiology: Quest for the Ideal Indicator. BioScience, 51(10): 817-825.
[13] Hatha, Mohamed., Abhirosh Chandran and Sherin Varghese, 2008. Increased prevalence of indicator and
pathogenic bacteria in the Kumarakom Lake: A function of salt water regulator in Vembanadu Lake, A
Ramsar site, along west coast of India. Sengupta M. and Dalwani R. (Ed.) Procd. of Taal2007: The 12 th
World Lake Conference: 250-256.
[14] Li, J., H. Wang, Y. Liu, M. Lin, X. Liu and X. Hu, 2014. Distribution and Diversity of Coliform Bacteria in
Estuary of Jiahe River, China. Int. J. Environ. Res., 8(2): 501-508.
[15] Odonkor, Stephen T. and Joseph K. Ampofo, 2013. Escherichia coli as an indicator of bacteriological
quality of water: an overview. Microbiology Research, 4(e2): 5-11.
[16] Ouseph, P.P., V. Prasantha, P.P. Abhilash and P. Udayakumar, 2009. Occurrence and distribution of some
enteric bacteria along the southern coast of Kerala. Indian J Mar Sci., 38(1): 97-103.
[17] Pandey, Pramod K., Philip H. Kass, Michelle L. Soupir, Sagor Biswas and Vijay P. Singh, 2014.
Contamination of water resources by pathogenic bacteria. AMB Express, 4:51, doi: 10.1186/s13568-014-
0051-x.
[18] Pawar, Prabhakar R., 2013. Monitoring of impact of anthropogenic inputs on water quality of mangrove
ecosystem of Uran, Navi Mumbai, west coast of India. Mar. Poll. Bull. 75:291–300.
http://dx.doi.org/10.1016/j.marpolbul.2013.06.045
[19] Pawar, Prabhakar R., 2015. Monitoring of Pollution Using Density, Biomass and Diversity Indices of
Macrobenthos from Mangrove Ecosystem of Uran, Navi Mumbai, west coast of India. J. Bioremed. Biodeg.
6:299. doi:10.4172/2155-6199.1000299.
[20] Pawar, Prabhakar R., 2017. Biodiversity of brachyuran crabs (Crustacea: Decapoda) from Uran, Navi
Mumbai, west coast of India. Adv. Environ. Biol., 1(2): 103-112.
[21] Pawar, Prabhakar R., and Abdel Rahman Mohammad Said Al-Tawaha, 2017a. Biodiversity of marine
gastropods along the Uran coast, Navi Mumbai, west coast of India. Am.-Eursion j. Sustain. Agric., 11(2):
19-30.
[22] Pawar, Prabhakar R., and Abdel Rahman Mohammad Said Al-Tawaha, 2017b. Species diversity and
distribution of marine bivalves from coastal transitional ecosystem of Uran, Navi Mumbai, India. Adv.
Environ. Biol., 11(4): 1-11.
[23] Prabhakar R. Pawar and Abdel Rahman Mohammad Said Al-Tawaha, 2017c. Checklist of benthic marine
macrophytes and macrofauna from Uran coast, Navi Mumbai, off the Arabian Sea. Adv. Environ. Biol.,
11(6): 68-78.
[24] Ramesh Babu, K., V. Hima Sailaja, K. V. Siva Reddy, K.G. Anand, G. Vijaya Pratap and M. Ratna Raju,
2014. Studies on Microbial Status and Characteristic features from Polluted Coastal Habitats at
Visakhapatnam, India. Int. J. of Multidisciplinary and Current research, 2: 113-117.
[25] Santhiya, G., C. Lakshumanan, Joseph Selvin and D. Asha, 2011. Microbiological analysis of seawater and
sediments in urban shorelines: Occurrence of heavy metals resistance bacteria on Chennai beaches, Bay of
Bengal. Microchemical Journal, 99: 197-202. doi:10.1016/j.microc.2011.05.004.
[26] Saravanan, S., T. Sivakumar, R. Thamizhmani and R. Senthilkumaran, 2013. Studies on Microbial
Diversity in Marine ecosystem of Parangipettai, Tamil Nadu, India. Int. J. Curr. Microbiol. App. Sci., 2(1):
20-32.
[27] Sugumar, G., B. Chrisolite, P. Velayutham, A. Selvan and U. Ramesh, 2008. Occurrence and seasonal
variation of bacterial indicators of faecal pollution along Thoothukudi coast, Tamil Nadu. Journal of
Environmental Biology, 29(3): 387-391.
24 Prabhakar R. Pawar, 2017
Advances in Environmental Biology, 11(8) August 2017, Pages: 11-24
[28] Sumampouw, Oksfriani Jufri and Yenny Risjani, 2014. Bacteria as Indicators of Environmental Pollution:
Review. International Journal of Ecosystem, 4(6): 251-258. DOI: 10.5923/j.ije.20140406.03.
[29] Tallon, Pam., Brenda Magajna, Cassandra Lofranco and Kam Tin Leung, 2005. Microbial Indicators Of
Faecal Contamination In water: A Current Perspective. Water, Air, and Soil Pollution, 166: 139-166.
[30] Yazhini, R., M. Pavithra, C. Suganthy, E.K. Elumalai and G. Ganeshkumar, 2015. Microbial contamination
of sea water at Puducherry sea shore. Malaya Journal of Biosciences, 2(2): 115-118.