Biomonitoring along the Tropical Southern Indian Coast with Multiple Biomarkers.

We assessed the spatial and temporal variations of pollution indicators and geochemical and trace metal parameters (23 in total) from water and sediment (144 samples) of three different eco-niches (beach, fishing harbor, and estuary) in larger coastal cities of southern India (Cuddalore and Pondiche...

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Main Authors: Sivanandham Vignesh, Hans-Uwe Dahms, Krishnan Muthukumar, Gopalaswamy Vignesh, Rathinam Arthur James
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2016-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC5152820?pdf=render
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spelling doaj-02a5841962634359b94fbf1ce353bd8a2020-11-25T00:15:14ZengPublic Library of Science (PLoS)PLoS ONE1932-62032016-01-011112e015410510.1371/journal.pone.0154105Biomonitoring along the Tropical Southern Indian Coast with Multiple Biomarkers.Sivanandham VigneshHans-Uwe DahmsKrishnan MuthukumarGopalaswamy VigneshRathinam Arthur JamesWe assessed the spatial and temporal variations of pollution indicators and geochemical and trace metal parameters (23 in total) from water and sediment (144 samples) of three different eco-niches (beach, fishing harbor, and estuary) in larger coastal cities of southern India (Cuddalore and Pondicherry) for one year. A total of 120 marine Pseudomonas isolates were challenged against different concentrations of copper solutions and 10 different antibiotics in heavy metal and antibiotic resistance approaches, respectively. The study shows that 4.16% of the isolates could survive in 250 mM of copper; 70% were resistant to minimum concentrations. Strains were resistant (98.4%) to at least one antibiotic in Cuddalore compared to the Pondicherry (78.4%) region. Pollution index (PI) (0-14.55) and antibiotic resistance index (ARI) (0.05-0.10) ratio indicated that high bacterial and antibiotic loads were released into the coastal environment. The degree of trace metal contamination in sediments were calculated by enrichment factor (EF), contamination factor (CF), pollution load index (PLI), and geo-accumulation index (Igeo). Statistical parameters like two-way analysis of variance (ANOVA), correlation, factor analysis and scatter matrix tools were employed between the 23 parameters in order to find sources, pathways, disparities and interactions of environmental pollutants. It indicates that geochemical and biological parameters were not strongly associated with each other (except a few) and were affected by different sources. Factor analysis elucidated, 'microbe-metal' interaction (Factor 1-48.86%), 'anthropogenic' factor (Factor 2-13.23%) and 'Pseudomonas-Cadmium' factor (Factor 3-11.74%), respectively.http://europepmc.org/articles/PMC5152820?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author Sivanandham Vignesh
Hans-Uwe Dahms
Krishnan Muthukumar
Gopalaswamy Vignesh
Rathinam Arthur James
spellingShingle Sivanandham Vignesh
Hans-Uwe Dahms
Krishnan Muthukumar
Gopalaswamy Vignesh
Rathinam Arthur James
Biomonitoring along the Tropical Southern Indian Coast with Multiple Biomarkers.
PLoS ONE
author_facet Sivanandham Vignesh
Hans-Uwe Dahms
Krishnan Muthukumar
Gopalaswamy Vignesh
Rathinam Arthur James
author_sort Sivanandham Vignesh
title Biomonitoring along the Tropical Southern Indian Coast with Multiple Biomarkers.
title_short Biomonitoring along the Tropical Southern Indian Coast with Multiple Biomarkers.
title_full Biomonitoring along the Tropical Southern Indian Coast with Multiple Biomarkers.
title_fullStr Biomonitoring along the Tropical Southern Indian Coast with Multiple Biomarkers.
title_full_unstemmed Biomonitoring along the Tropical Southern Indian Coast with Multiple Biomarkers.
title_sort biomonitoring along the tropical southern indian coast with multiple biomarkers.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2016-01-01
description We assessed the spatial and temporal variations of pollution indicators and geochemical and trace metal parameters (23 in total) from water and sediment (144 samples) of three different eco-niches (beach, fishing harbor, and estuary) in larger coastal cities of southern India (Cuddalore and Pondicherry) for one year. A total of 120 marine Pseudomonas isolates were challenged against different concentrations of copper solutions and 10 different antibiotics in heavy metal and antibiotic resistance approaches, respectively. The study shows that 4.16% of the isolates could survive in 250 mM of copper; 70% were resistant to minimum concentrations. Strains were resistant (98.4%) to at least one antibiotic in Cuddalore compared to the Pondicherry (78.4%) region. Pollution index (PI) (0-14.55) and antibiotic resistance index (ARI) (0.05-0.10) ratio indicated that high bacterial and antibiotic loads were released into the coastal environment. The degree of trace metal contamination in sediments were calculated by enrichment factor (EF), contamination factor (CF), pollution load index (PLI), and geo-accumulation index (Igeo). Statistical parameters like two-way analysis of variance (ANOVA), correlation, factor analysis and scatter matrix tools were employed between the 23 parameters in order to find sources, pathways, disparities and interactions of environmental pollutants. It indicates that geochemical and biological parameters were not strongly associated with each other (except a few) and were affected by different sources. Factor analysis elucidated, 'microbe-metal' interaction (Factor 1-48.86%), 'anthropogenic' factor (Factor 2-13.23%) and 'Pseudomonas-Cadmium' factor (Factor 3-11.74%), respectively.
url http://europepmc.org/articles/PMC5152820?pdf=render
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