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Hidden drivers of low-dose pharmaceutical pollutant mixtures revealed by the novel GSA-QHTS screening method
The ecological impacts of emerging pollutants such as pharmaceuticals are not well understood. The lack of experimental approaches for the identification of pollutant effects in realistic settings (that is, low doses, complex mixtures, and variable environmental conditions) supports the widespread p...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Association for the Advancement of Science
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5014467/ https://www.ncbi.nlm.nih.gov/pubmed/27617294 http://dx.doi.org/10.1126/sciadv.1601272 |
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author | Rodea-Palomares, Ismael Gonzalez-Pleiter, Miguel Gonzalo, Soledad Rosal, Roberto Leganes, Francisco Sabater, Sergi Casellas, Maria Muñoz-Carpena, Rafael Fernández-Piñas, Francisca |
author_facet | Rodea-Palomares, Ismael Gonzalez-Pleiter, Miguel Gonzalo, Soledad Rosal, Roberto Leganes, Francisco Sabater, Sergi Casellas, Maria Muñoz-Carpena, Rafael Fernández-Piñas, Francisca |
author_sort | Rodea-Palomares, Ismael |
collection | PubMed |
description | The ecological impacts of emerging pollutants such as pharmaceuticals are not well understood. The lack of experimental approaches for the identification of pollutant effects in realistic settings (that is, low doses, complex mixtures, and variable environmental conditions) supports the widespread perception that these effects are often unpredictable. To address this, we developed a novel screening method (GSA-QHTS) that couples the computational power of global sensitivity analysis (GSA) with the experimental efficiency of quantitative high-throughput screening (QHTS). We present a case study where GSA-QHTS allowed for the identification of the main pharmaceutical pollutants (and their interactions), driving biological effects of low-dose complex mixtures at the microbial population level. The QHTS experiments involved the integrated analysis of nearly 2700 observations from an array of 180 unique low-dose mixtures, representing the most complex and data-rich experimental mixture effect assessment of main pharmaceutical pollutants to date. An ecological scaling-up experiment confirmed that this subset of pollutants also affects typical freshwater microbial community assemblages. Contrary to our expectations and challenging established scientific opinion, the bioactivity of the mixtures was not predicted by the null mixture models, and the main drivers that were identified by GSA-QHTS were overlooked by the current effect assessment scheme. Our results suggest that current chemical effect assessment methods overlook a substantial number of ecologically dangerous chemical pollutants and introduce a new operational framework for their systematic identification. |
format | Online Article Text |
id | pubmed-5014467 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | American Association for the Advancement of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-50144672016-09-09 Hidden drivers of low-dose pharmaceutical pollutant mixtures revealed by the novel GSA-QHTS screening method Rodea-Palomares, Ismael Gonzalez-Pleiter, Miguel Gonzalo, Soledad Rosal, Roberto Leganes, Francisco Sabater, Sergi Casellas, Maria Muñoz-Carpena, Rafael Fernández-Piñas, Francisca Sci Adv Research Articles The ecological impacts of emerging pollutants such as pharmaceuticals are not well understood. The lack of experimental approaches for the identification of pollutant effects in realistic settings (that is, low doses, complex mixtures, and variable environmental conditions) supports the widespread perception that these effects are often unpredictable. To address this, we developed a novel screening method (GSA-QHTS) that couples the computational power of global sensitivity analysis (GSA) with the experimental efficiency of quantitative high-throughput screening (QHTS). We present a case study where GSA-QHTS allowed for the identification of the main pharmaceutical pollutants (and their interactions), driving biological effects of low-dose complex mixtures at the microbial population level. The QHTS experiments involved the integrated analysis of nearly 2700 observations from an array of 180 unique low-dose mixtures, representing the most complex and data-rich experimental mixture effect assessment of main pharmaceutical pollutants to date. An ecological scaling-up experiment confirmed that this subset of pollutants also affects typical freshwater microbial community assemblages. Contrary to our expectations and challenging established scientific opinion, the bioactivity of the mixtures was not predicted by the null mixture models, and the main drivers that were identified by GSA-QHTS were overlooked by the current effect assessment scheme. Our results suggest that current chemical effect assessment methods overlook a substantial number of ecologically dangerous chemical pollutants and introduce a new operational framework for their systematic identification. American Association for the Advancement of Science 2016-09-07 /pmc/articles/PMC5014467/ /pubmed/27617294 http://dx.doi.org/10.1126/sciadv.1601272 Text en Copyright © 2016, The Authors http://creativecommons.org/licenses/by-nc/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial license (http://creativecommons.org/licenses/by-nc/4.0/) , which permits use, distribution, and reproduction in any medium, so long as the resultant use is not for commercial advantage and provided the original work is properly cited. |
spellingShingle | Research Articles Rodea-Palomares, Ismael Gonzalez-Pleiter, Miguel Gonzalo, Soledad Rosal, Roberto Leganes, Francisco Sabater, Sergi Casellas, Maria Muñoz-Carpena, Rafael Fernández-Piñas, Francisca Hidden drivers of low-dose pharmaceutical pollutant mixtures revealed by the novel GSA-QHTS screening method |
title | Hidden drivers of low-dose pharmaceutical pollutant mixtures revealed by the novel GSA-QHTS screening method |
title_full | Hidden drivers of low-dose pharmaceutical pollutant mixtures revealed by the novel GSA-QHTS screening method |
title_fullStr | Hidden drivers of low-dose pharmaceutical pollutant mixtures revealed by the novel GSA-QHTS screening method |
title_full_unstemmed | Hidden drivers of low-dose pharmaceutical pollutant mixtures revealed by the novel GSA-QHTS screening method |
title_short | Hidden drivers of low-dose pharmaceutical pollutant mixtures revealed by the novel GSA-QHTS screening method |
title_sort | hidden drivers of low-dose pharmaceutical pollutant mixtures revealed by the novel gsa-qhts screening method |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5014467/ https://www.ncbi.nlm.nih.gov/pubmed/27617294 http://dx.doi.org/10.1126/sciadv.1601272 |
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