Analysis of the effects of thermal stress on milk production in a humid tropical climate using linear and non-linear models.

The decline of milk production in crossbred cattle during the onset of summer was evaluated using lactation records of the cows (n = 48) maintained at the Livestock Research Station, Thiruvazhamkunnu, for the period between January 2019 and March 2019. Climate data were obtained from an automatic weather station maintained on the campus. The temperature-humidity index (THI) was used to assess the thermal stress on animals. Values varied between 70.78 and 83.93 during the study period, indicating that the cows were exposed to mild and moderate stress. Highly significant negative correlations (p < 0.01) were observed between the average temperature, THI, and milk production. Linear, logarithmic, power, and polynomial models linking milk production and THI were used to fit the data. The coefficient of determination (R2) in general exceeded 0.85 and these equations could be used to model the drop in milk production or predict production loss due to thermal stress. The rate of decline in daily milk production observed in the study was 2.13% per unit increase in THI. A general linear model that included THI, parity, and the stage of lactation as independent variables, and milk production as a response variable, was also tested. Parity and stages of lactation were observed to influence forenoon and afternoon milk production significantly (p < 0.01). The temperature-humidity index also had a significant effect on forenoon milk production (p < 0.05) and afternoon milk production (p < 0.01).

Assessment of heavy metals in the surface sediments of the Emerald Lake using of spatial distribution and multivariate techniques.

The study aims to assess the heavy metals such as cobalt (Co), nickel (Ni), lead (Pb), chromium (Cr), cupper (Cu), zinc (Zn), manganese (Mn), and iron (Fe) from 25 surface sediment samples at different sites of the Emerald Lake, Tamilnadu, India using spatial distribution and multivariate techniques like Pearson correlation matrix and principal component analysis. From the result, the ranges of Fe, Cu, Cr, Mn, Zn, Ni, Co, and Pb are noticed to be 78,128 to 132,876; 314 to 462; 336 to 523; 520 to 701; 20.1 to 53.21; 128 to 215; 91 to 129.9; and 151 to 158 µg g-1, respectively. The order of the average heavy metals concentration is Fe > Mn > Cr > Cu > Pb > Zn > Co > Ni. From the result, Ni, Cu, Cr, Pb, and Cd are found to be considerably correlated as they are usually related to anthropogenic activities, wastewater, and sewage. From the principal corresponding analysis (PCA) results retrieved from PC3 suggest that Fe, Mn, Cr, Cu, Pb, and Ni have common origin and are mainly due to anthropogenic input, inorganic fertilizers in agriculture, human activities, sewage effluents, traffic, and boat activities. The study relatively provides a significant approach for heavy metal pollution origin in the surface sediment in the Emerald Lake.

Identification of a Novel Single Nucleotide Polymorphism in Porcine Beta-Defensin-1 Gene.

Porcine beta-defensin-1 (PBD-1) gene plays an important role in the innate immunity of pigs. The peptide encoded by this gene is an antimicrobial peptide that has direct activity against a wide range of microbes. This peptide is involved in the co-creation of an antimicrobial barrier in the oral cavity of pigs. The objective of the present study was to detect polymorphisms, if any, in exon-1 and exon-2 regions of PBD-1 gene in Large White Yorkshire (LWY) and native Ankamali pigs of Kerala, India. Blood samples were collected from 100 pigs and genomic DNA was isolated using phenol chloroform method. The quantity of DNA was assessed in a spectrophotometer and quality by gel electrophoresis. Exon-1 and exon-2 regions of PBD-1 gene were amplified by polymerase chain reaction (PCR) and the products were subjected to single strand conformation polymorphism (SSCP) analysis. Subsequent silver staining of the polyacrylamide gels revealed three unique SSCP banding patterns in each of the two exons. The presence of single nucleotide polymorphisms (SNPs) was confirmed by nucleotide sequencing of the PCR products. A novel SNP was found in the 5'-UTR region of exon-1 and a SNP was detected in the mature peptide coding region of exon-2. In exon-1, the pooled population frequencies of GG, GT, and TT genotypes were 0.67, 0.30, and 0.03, respectively. GG genotype was predominant in both the breeds whereas TT genotype was not detected in LWY breed. Similarly, in exon-2, the pooled population frequencies of AA, AG, and GG genotypes were 0.50, 0.27, and 0.23, respectively. AA genotype was predominant in LWY pigs whereas GG genotype was predominant in native pigs. These results suggest that there exists a considerable genetic variation at PBD-1 locus and further association studies may help in development of a PCR based genotyping test to select pigs with better immunity.

Quality and shelf life of cooked buffalo tripe rolls at refrigerated storage under vacuum packaging condition.

Cooked buffalo tripe rolls prepared from a combination of buffalo tripe and buffalo meat by using mincing and blade tenderization process were stored at 4 ± 1 °C in polyethylene teraphthalate laminated with polythene (PET/PE) pouches under vacuum packaging condition. The samples were evaluated for physico-chemical parameters, microbial quality and sensory attributes at regular intervals of 0, 7, 14, 21 and 28 days of storage. Significant changes were seen in physico-chemical, microbial and sensory characteristics of BTRs during storage at refrigeration temperature (4 ± 1 °C) under vacuum packaging condition. All microbial counts were well within the acceptable limits and the products did not show any signs of spoilage. Thus, BTRs prepared by mincing or BT can be best stored up to 28 days at 4 ± 1 °C under vacuum packaging.

Assessment of spatial distribution and potential ecological risk of the heavy metals in relation to granulometric contents of Veeranam lake sediments, India.

The contents and spatial distributions of heavy metals (Cd, Cr, Cu, Ni, Pb and Zn) have been studied in surface sediments of Veeranam lake, Tamilnadu, India. Heavy metal contents are higher in open water area (limnetic zone) (OWA) than other two regions such as inflow river mouth (littoral zone) (IFR) and outflow river mouth region (OFR). Present metal contents are compared with both background and toxicological reference values. The comparative results suggest that the present metals except Cd and Pb create an adverse effect on the aquatic ecosystems associated with this lake. The Pollution Load Index (PLI) and Potential Ecological Risk (PER) are calculated and calculated PLI values (range: 1.18-4.09 with an average of 2.03) show that the present sediments are polluted significantly and these values are higher in OWA region. From the PER values, each single element has low potential ecological risk. However, Cd shows higher ecological risk. The comprehensive PER index of the sediments shows moderate degree. The magnetic susceptibility is higher in OWA region. Granulometric analysis confirms that the silt is major content. Multivariate Statistical analyses (Pearson Correlation, Cluster and Factor analysis) were carried out and obtained results suggested that the heavy metals in present lake have complicated contamination sources or controlling factors and the heavy metals such as Cr, Cu, Ni and Zn may be incorporated in magnetic minerals which are presented in silt grains. Also it shows that the role of silt is incorporating the cations on their surface and raising the level of magnetic susceptibility and heavy metal contents. The present study recommends that the heavy metal levels are unlikely to cause additional adverse health risks to the aquatic ecosystem associated with this lake.

Seasonal variation, polymer hazard risk and controlling factors of microplastics in beach sediments along the southeast coast of India.

Microplastics (MPs) and its associated organic and inorganic contaminants are one among the significant health hazards to almost all biota, including human. We investigated the polymer hazard risk and its adsorbed contaminants in MPs at six prominent beaches of Chennai on the southeast coast of India. The spatial variation of MPs during the northeast (NE) monsoon (range: 76-720 items/kg, mean: 247.4 items/kg) was higher than that during southwest (SW) monsoon (range: 84-498 items/kg, mean: 302.7 items/kg). In both the seasons, polyethylene (PE) and polypropylene (PP) were the dominant polymers and fibre was the predominant shape of MPs, likely to be derived from fishing, textile and urban activities in this region. Scanning electron microscope (SEM) images exhibited various surface weathering features including grooves, cracks, fractures, adhering particles, pits, vermiculate textures and fibre reinforcements. Energy dispersive X-ray spectrometer (EDS) results showed that MPs have adsorbed major (Si, Al, Na, Mg, Ca, Fe and Ti) and trace (Cu, Cr, Ni, Pb and Zn) metals. Though pollution load index (PLI) presented low degree of MP contamination in the beach sediments, hazardous polymers such as polyvinyl chloride (PVC), polyamide (PA) and polystyrene (PS) contributed to high polymer hazard index (PHI) and potential ecological risk index (PERI), posing very high risk to the biota. The trajectories obtained from particle-tracking coupled with hydrodynamic simulation clearly showed that 20% of MPs settled along the coast and the remaining moved towards north, alongshore and offshore (∼50 km) within 30 days, and in NE monsoon due to current reversal, the floating debris and MPs have drifted towards south, ∼40 km in 30 days, indicating the role of circulation in the fate and transport pathways of plastic debris.

Petroleum hydrocarbon concentrations in eight mollusc species along Tamilnadu coast, Bay of Bengal, India.

Eight mollusc species and sediment samples collected from three different stations along Tamilnadu coast, Bay of Bengal, India were analysed for the levels of petroleum hydrocarbons to elucidate the status of the petroleum residues in mollusc meant for human consumption. The concentrations of petroleum hydrocarbons in sediments along Tamilnadu coast varied from 5.04-25.5 microg/g dw (dry weight). High concentration of petroleum hydrocarbons in the sediment of Uppanar estuary (25.5 +/- 1.45 microg/g dw) was perhaps land and marine based anthropogenic sources of this region. The petroleum hydrocarbon residues in eight mollusc species collected from Uppanar, Vellar and Coleroon estuaries varied between 2.44-6.04 microg/g ww (wet weight). Although the concentration of petroleum hydrocarbons in sediment of the Uppanar region was markedly higher than the background, the petroleum hydrocarbon residues in mollusc collected from Uppanar estuary did not suggest bioaccumulation. The results signified that industrial growth has affected the aquatic environments and regular monitoring will help to adopt stringent pollution control measures for better management of the aquatic region.

Assessment of potential ecological risk of microplastics in the coastal sediments of India: A meta-analysis.

Abundance, chemical composition and ecological risk of microplastics (MPs) in terrestrial and marine environments have merited substantial attention from the research communities. This is the first attempt to comprehend the ecological risk of MPs in sediments along the Indian coast using meta-data. Polymer hazard index (PHI), pollution load index (PLI) and potential ecological risk index (PERI) were used to evaluate the quality of sediments. Areas have high PHI values (>1000) due to the presence of polymers with high hazard scores such as polyamide (PA) and polystyrene (PS). According to PLI values, sediments along the west coast of India (WCI) are moderately contaminated with MPs (PLI: 3.03 to 15.5), whereas sediments along the east coast of India (ECI) are less contaminated (PLI: 1 to 6.14). The PERI values of sediments along the Indian coast showed higher ecological risk for the metropolitan cities, river mouths, potential fishing zones and the remote islands.

Petroleum hydrocarbon concentrations in marine sediments along Chennai Coast, Bay of Bengal, India.

The spatial and temporal distribution of petroleum hydrocarbons (PHC) in marine sediments along the Chennai coast, Bay of Bengal was quantified by Ultra-Violet Fluorescence (UVF) Spectroscopy. The concentration of PHC in surface sediments varied from 1.88 to 39.76 ppm. The highest values obtained in the northern part of the study area, where shipping activities and land-based waste waters disposed into sea through the rivers like Kuvam and Adayar. The Adayar (7.26-16.83 ppm) and Kuvam (5.5-39.72 ppm) cores reveal a clear horizon of increase in PHC above 50 and 35 cm respectively. PHC values showed a decreasing pattern with depth in all sediment cores suggesting the excess anthropogenic loading occurring in the recent past. The present study revealed that the PHC values of Chennai coastal sediments are lower than the values reported from selected costal areas including the sediment of the Mumbai coast (7.6-42.8 ppm), Arabian Sea. The results will be useful for pollution monitoring program along the coastal region and also to check the level of petroleum hydrocarbons in marine sediments.

Cloning and characterization of DGAT1 gene of Riverine buffalo.

The present study was carried out to characterize the DGAT1 gene of Riverine buffalo. Total RNA was extracted from the mammary tissue of buffalo and DGAT1cDNA were synthesized by RT-PCR, then cloned using pDRIVE cloning vector and sequenced. The sequencing revealed that the size of DGAT1 gene was 1470 bp with GC content of 62.30%. The gene encoded for 489 amino acid precursors and that it possessed 32 amino acids signal peptide. The similarity of buffalo DGAT1 mRNA sequence with that of cattle, pig, monkey, human, mice and rat were determined as 98.4, 90.7, 85.4, 85.0, 77.4 and 77.1%, respectively. Phylogenetic tree constructed from the derived DGAT1 protein sequences of 15 different species illustrated a unique branches for mammals, fly, nematode and plants. Among mammals, cattle and buffalo grouped together, whereas swine formed another group in the same branch. Four motifs were predicted in buffalo DGAT1 peptide sequence, one N-linked glycosylation site (246th position), two putative tyrosine phosphorylation site (316 and 261), one putative diacylglycerol binding site (382-392 amino acid position) and a conserved domain MBOAT (membrane bound acyl transferase from 150 to 474 amino acids) with a histidine as an active residue.

Molecular cloning and characterization of buffalo alpha(s1)-casein gene.

Buffaloes in Indian subcontinent play an important role as the producer of milk and milk products. The alpha(s1)-casein constitutes 38% of the total milk proteins. The present study was carried out to characterize the gene in Murrah breed of Riverine buffalo. Buffalo alpha(s1)-casein cDNA was synthesized by RT-PCR, then cloned using pDRIVE-cloning vector and sequenced. The sequencing revealed that the size of alpha(s1)-casein cDNA was of 645 bp with GC content of 45.58%. The alpha(s1)-casein gene coded 214 amino acids precursor with a signal peptide of 15 amino acid residues. The similarity of buffalo alpha(s1)-casein mRNA sequence with that of cattle, goat, sheep, pig, camel, equine and human were estimated as 97.2, 93, 92.3, 57.2, 59.5, 55.9 and 46.6%, respectively. A similar trend was observed when compared amino acid sequences of these species. In the phylogenetic trees, constructed from the data of the alpha(s1)-casein mRNA as well as protein sequences, it has been observed that buffalo, cattle, goat and sheep formed a cluster with a closer relationship between cattle and buffalo followed by goat and sheep.

Association of a Cac8I polymorphism in the IGF1 gene with growth traits in Indian goats.

The Insulin-like Growth Factor 1 (IGF1) gene is a member of somatotropic axis and plays a key role in proliferation of cells, mitosis, myogenesis, meiosis, differentiation in foetal development and post natal growth. The objectives of this study were to verify the single nucleotide polymorphisms (SNPs) in IGF1 gene and their association with growth traits in two indigenous native goat genetic groups of Kerala, viz., Malabari and Attappady Black. A total of 277 goats were genotyped using a polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) using the restriction enzyme Cac8I. One SNP, A224G was detected in the 5' non-coding region of the IGF1 gene, and accordingly two genotypes were revealed, GG and AG. This SNP was significantly associated with growth traits in Attappady Black goats, which is maintained as meat breed in Kerala. Results from this study demonstrated higher performance of GG animals for growth traits. The association of IGF1 gene with these traits emphasizes the importance of caprine IGF1 as a candidate gene for growth traits in goat breeding.

Cloning and characterization of alpha(s2)-casein gene of Riverine buffalo.

The present study was carried out to characterize the alpha(s2)-casein gene in Riverine buffalo. Total RNA was extracted from the mammary tissue of buffalo and alpha(s2)-casein cDNA were synthesized by RT-PCR, then cloned using pDRIVE-cloning vector and sequenced. The sequencing revealed that the size of alpha(s2)-casein was 669 bp with GC content of 41.11%. The gene encoded for 222 amino acid precursors and that it possessed 15 amino acids signal peptide. The similarity of buffalo alpha(s2)-casein mRNA sequence with that of cattle, sheep, goat, pig and camel were estimated as 97.9, 93.6, 93.4, 73.5 and 73.0%, respectively. In the phylogenetic trees, constructed from the data of the alpha(s2)-casein mRNA sequences as well as protein sequences, it has been observed that the cattle and buffalo were in the same group whereas sheep and goat formed another group. The camel and swine were placed in two separate groups.

Influence of 2015 flood on the distribution and occurrence of microplastic pellets along the Chennai coast, India.

The sources, distribution, surface features, polymer composition and age of microplastic pellets (MPPs) in surface sediments along the Chennai coast during March 2015 (pre-Chennai flood) and November 2015 (post-Chennai flood) were characterised using a Stereoscopic microscope and FTIR-ATR spectroscopy. White MPPs were the most abundant, and specifically polyethylene (PE) and polypropylene (PP) were the dominant polymer types of MPPs found on the coast during both the times. The abundance of MPPs in November 2015 was three-fold higher than those found in March 2015, confirming that huge quantity of fresh MPPs washed through Cooum and Adyar rivers from land during the flood. The winds and surface currents during November were the driving forces for the transportation and deposition of MPPs from the sea to beaches. The results of this study will be useful to formulate beach MPPs litter management policies to effectively create long-term solutions.

Relative abundance of tissue mRNA and association of the single nucleotide polymorphism of the goat NGF gene with prolificacy.

Nerve Growth Factor (NGF) promotes the development of pre-antral ovarian follicles through ovarian innervations and regulation of ovarian response to gonadotropins. The present study was conducted to study the tissue gene expression profile, to characterize the genetic variants, find associations of the NGF gene with prolificacy in the prolific Malabari and less prolific Attappady Black goats because NGF has an important role in reproduction by augmenting ovarian folliculogenesis. Relative abundance of NGF mRNA was greatest in reproductive tissues signifying its role in reproduction. The PCR-SSCP analysis of a 251bp fragment of Exon 3 of the NGF gene from the 277 goats revealed four diplotypes (EE, EF, FF and EG) with respective frequencies of 0.76, 0.22, 0.01 and 0.01. Sequencing of the representative samples revealed one synonymous and one novel non synonymous mutations (g.705G>A and g.715C>T). Statistical analysis indicated that the SNP g.705G>A was associated with litter size in Attappady Black goats (P<0.05) and a PCR-RFLP was designed using the restriction enzyme, BpiI, for rapid screening of the SNP. The results of the present study suggest that the NGF gene is a primary candidate gene affecting prolificacy in goats and may be used for Marker Assisted Selection (MAS) in goats, especially in lowly prolific Attappady Black goats.

Nerve Growth Factor gene ovarian expression, polymorphism identification, and association with litter size in goats.

The Nerve Growth Factor (NGF) plays an important role in reproduction by augmenting folliculogenesis. In this study, the coding regions of caprine NGF gene were analyzed to detect single-nucleotide polymorphisms (SNPs), their association with litter size, and the relative ovarian expression of NGF gene in the two indigenous goat breeds of South India viz., the prolific Malabari and less-prolific Attappady Black. The sequence analysis of the third exon containing the entire open reading frame of NGF gene was observed to be of 808 bp with one nonsynonymous mutation at 217th position. Later, polymerase chain reaction (PCR) was performed to amplify a region of 188 bp covering the region carrying the detected mutation. The genomic DNAs from the goats under study (n = 277) were subjected to PCR and single strand conformation polymorphism (SSCP). On analysis, four diplotypes viz., AA, AB, AC, and AD were observed with respective frequencies of 0.50, 0.22, 0.27, and 0.01. Sequencing of the representative samples revealed an additional synonymous mutation, i.e., g.291C>A. Statistical analysis indicated that NGF diplotypes and the SNP g.217G>A were associated with litter size in goats (P < 0.05). Relative expression of NGF gene was significantly higher in the ovaries of goats with history of multiple than single births (P < 0.05). The results of the present study suggest the significant effect of the NGF gene on litter size in goats and identified SNPs would benefit the selection of prolific animals in future marker-assisted breeding programs. The two novel PCR-restriction fragment length polymorphisms designed, based on the detected SNPs, would help in the rapid screening of large number of animals in a breeding population for identifying individual animals with desired genetic characteristics.

Influence of mineralogical and heavy metal composition on natural radionuclide concentrations in the river sediments.

The natural radiation level has been determined for the sediment samples of the Ponnaiyar River with an aim of evaluating the radiation hazard. The mineralogical characterizations of the sediments have been carried out using the Fourier Transform Infrared (FTIR) spectroscopic technique. The relative distribution of major minerals is determined by calculating extinction coefficient. The concentration and spatial distribution of heavy metals (Pb, Cr, Cu, Zn and Ni) have been studied to understand the heavy metal contamination and its level of toxicity. To evaluate the potential toxicity, heavy metal concentrations are compared with different toxicological and geological reference values. The comparison results suggest that the present metals create an adverse effect on the aquatic ecosystems associated with this river. To assess the sediment contamination due to the studied heavy metals, the Pollution Load Index (PLI) is calculated. Multivariate Statistical analyses (Pearson Correlation, Cluster and Factor analysis) were carried out between the parameters obtained from radioactivity, mineralogical and geochemical analysis to know the existing relations. Obtained results showed that the effect of mineralogy on level of radioactivity should be significant. However, mineralogy effect on heavy metal composition in the sediments should be limited, indicating that other factors such as vicinity of the pollution sources are more important. Also, the influence of mineralogical characterization on level of radioactivity is significant, whereas the influence of the heavy metal composition on level of radioactivity should be limited.

Environmental magnetic and petroleum hydrocarbons records in sediment cores from the north east coast of Tamilnadu, Bay of Bengal, India.

In this study, mineral magnetic properties and petroleum hydrocarbons were statistically analysed in four sediment cores (C1, A1, T1 and K1) from the north east coast of Tamilnadu, India to examine the feasibility of PHC concentrations assessment using magnetic susceptibility. The C1 and A1 cores reveal a clear horizon of increase in PHC above 35 and 50 cm respectively suggesting the excess anthropogenic loading occurred in the recent past. Magnetic properties which were enhanced in the upper part of the sediment cores were the result of ferrimagnetic minerals from anthropogenic sources. Factor analysis confirmed that the input of magnetic minerals and petroleum hydrocarbons in Chennai coastal sediments are derived from the same sources. The present study shows that instead of expensive and destructive PHC chemical methods, magnetic susceptibility is found to be a suitable, cheap and rapid method for detailed study of petroleum hydrocarbon contamination in marine sediments.

A relationship between the natural radioactivity and mineralogical composition of the Ponnaiyar river sediments, India.

The natural radiation level has been determined for the sediment samples of Ponnaiyar River, India with an aim of evaluating the radiation hazard. The average activity concentrations are within the world and Indian average values although some extreme values have been determined. The magnetic susceptibility measurement has been carried out to know the magnetization nature of the sediments. More downstream (mouth) of the river has quite higher magnetic susceptibility values. The mineralogical characterizations of the sediments have been carried out using Fourier Transform Infrared (FTIR) spectroscopic and XRD technique. The minerals such as quartz, microcline feldspar, orthoclase feldspar, kaolinite, calcite, gibbsite, montmorillonite, smectite, palygorskite and organic carbon are identified from FTIR analysis. Few minerals like zircon, monazite and hornblende are identified only in XRD analysis. The relative distribution of major minerals is determined by calculating extinction coefficient. The calculated values show that the amount of quartz is greater than microcline feldspar and very much greater than kaolinite in all the sites. The content of quartz and microcline feldspar is decreases, and kaolinite gradually increases towards the river mouth. Multivariate Statistical analyses were carried out between the parameters obtained from radioactivity analysis and other analyses to know the existing relations. Obtained results are discussed and suggested that the natural radioactivity level of the present sediments is mainly controlled by clay content and lesser extent to magnetic susceptibility.

Petroleum hydrocarbon concentrations in ten commercial fish species along Tamilnadu coast, Bay of Bengal, India.

BACKGROUND, AIM, AND SCOPE: The aim of the present study was to evaluate the distribution of petroleum hydrocarbons in ten commercial fish species and water samples in three estuaries along Tamilnadu coast, Bay of Bengal, India. MATERIALS AND METHODS: Fish and water samples collected from Tamilnadu coast, India, were extracted and analyzed for petroleum hydrocarbons by ultraviolet fluorescence (UVF) spectroscopy. RESULTS: The petroleum hydrocarbon concentration (PHC) in coastal waters and fish species varied between 2.28 and 14.02 µg/l and 0.52 and 2.05 µg/g, respectively. The highest PHC concentration was obtained in Uppanar estuarine waters (14.02 ± 0.83) and the lowest was observed in Vellar estuarine waters (2.28 ± 0.25). DISCUSSION: Among the ten fish species, Sardinella longiceps have high PHC concentration from all the locations. This study suggests that S. longiceps can be used as a good biological indicator for petroleum hydrocarbon pollution in water. CONCLUSIONS: The concentration of petroleum hydrocarbons in coastal waters along Tamilnadu coast is markedly higher than that in the background, but there is no evidence for its increase in fish of this region. From a public health point, petroleum hydrocarbon residue levels in all fish samples analyzed in this study are considerably lower than the hazardous levels. RECOMMENDATIONS AND PERSPECTIVES: At present, as Tamilnadu coastal area is in a rapid development stage of new harbour, chemical industries, power plants, oil exploration and other large-scale industries, further assessment of petroleum hydrocarbons and the various hydrodynamic conditions acting in the region are to be studied in detail and continuous pollution monitoring studies should be conducted for improving the aquatic environment. The results will also be useful for pollution monitoring program along the coastal region and also to check the levels of petroleum hydrocarbons.