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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5152820/ https://www.ncbi.nlm.nih.gov/pubmed/27941969 http://dx.doi.org/10.1371/journal.pone.0154105 |
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author | Vignesh, Sivanandham Dahms, Hans-Uwe Muthukumar, Krishnan Vignesh, Gopalaswamy James, Rathinam Arthur |
author_facet | Vignesh, Sivanandham Dahms, Hans-Uwe Muthukumar, Krishnan Vignesh, Gopalaswamy James, Rathinam Arthur |
author_sort | Vignesh, Sivanandham |
collection | PubMed |
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 (I(geo)). 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. |
format | Online Article Text |
id | pubmed-5152820 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-51528202016-12-28 Biomonitoring along the Tropical Southern Indian Coast with Multiple Biomarkers Vignesh, Sivanandham Dahms, Hans-Uwe Muthukumar, Krishnan Vignesh, Gopalaswamy James, Rathinam Arthur PLoS One Research Article 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 (I(geo)). 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. Public Library of Science 2016-12-12 /pmc/articles/PMC5152820/ /pubmed/27941969 http://dx.doi.org/10.1371/journal.pone.0154105 Text en © 2016 Vignesh et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Vignesh, Sivanandham Dahms, Hans-Uwe Muthukumar, Krishnan Vignesh, Gopalaswamy James, Rathinam Arthur Biomonitoring along the Tropical Southern Indian Coast with Multiple Biomarkers |
title | 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_short | Biomonitoring along the Tropical Southern Indian Coast with Multiple Biomarkers |
title_sort | biomonitoring along the tropical southern indian coast with multiple biomarkers |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5152820/ https://www.ncbi.nlm.nih.gov/pubmed/27941969 http://dx.doi.org/10.1371/journal.pone.0154105 |
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