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Metabolomic Profiles of a Midge (Procladius villosimanus, Kieffer) Are Associated with Sediment Contamination in Urban Wetlands

Metabolomic techniques are powerful tools for investigating organism-environment interactions. Metabolite profiles have the potential to identify exposure or toxicity before populations are disrupted and can provide useful information for environmental assessment. However, under complex environmenta...

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Autores principales: Jeppe, Katherine J., Kouremenos, Konstantinos A., Townsend, Kallie R., MacMahon, Daniel F., Sharley, David, Tull, Dedreia L., Hoffmann, Ary A., Pettigrove, Vincent, Long, Sara M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5746744/
https://www.ncbi.nlm.nih.gov/pubmed/29258276
http://dx.doi.org/10.3390/metabo7040064
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author Jeppe, Katherine J.
Kouremenos, Konstantinos A.
Townsend, Kallie R.
MacMahon, Daniel F.
Sharley, David
Tull, Dedreia L.
Hoffmann, Ary A.
Pettigrove, Vincent
Long, Sara M.
author_facet Jeppe, Katherine J.
Kouremenos, Konstantinos A.
Townsend, Kallie R.
MacMahon, Daniel F.
Sharley, David
Tull, Dedreia L.
Hoffmann, Ary A.
Pettigrove, Vincent
Long, Sara M.
author_sort Jeppe, Katherine J.
collection PubMed
description Metabolomic techniques are powerful tools for investigating organism-environment interactions. Metabolite profiles have the potential to identify exposure or toxicity before populations are disrupted and can provide useful information for environmental assessment. However, under complex environmental scenarios, metabolomic responses to exposure can be distorted by background and/or organismal variation. In the current study, we use LC-MS (liquid chromatography-mass spectrometry) and GC-MS (gas chromatography-mass spectrometry) to measure metabolites of the midge Procladius villosimanus inhabiting 21 urban wetlands. These metabolites were tested against common sediment contaminants using random forest models and metabolite enrichment analysis. Sediment contaminant concentrations in the field correlated with several P. villosimanus metabolites despite natural environmental and organismal variation. Furthermore, enrichment analysis indicated that metabolite sets implicated in stress responses were enriched, pointing to specific cellular functions affected by exposure. Methionine metabolism, sugar metabolism and glycerolipid metabolism associated with total petroleum hydrocarbon and metal concentrations, while mitochondrial electron transport and urea cycle sets associated only with bifenthrin. These results demonstrate the potential for metabolomics approaches to provide useful information in field-based environmental assessments.
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spelling pubmed-57467442018-01-03 Metabolomic Profiles of a Midge (Procladius villosimanus, Kieffer) Are Associated with Sediment Contamination in Urban Wetlands Jeppe, Katherine J. Kouremenos, Konstantinos A. Townsend, Kallie R. MacMahon, Daniel F. Sharley, David Tull, Dedreia L. Hoffmann, Ary A. Pettigrove, Vincent Long, Sara M. Metabolites Article Metabolomic techniques are powerful tools for investigating organism-environment interactions. Metabolite profiles have the potential to identify exposure or toxicity before populations are disrupted and can provide useful information for environmental assessment. However, under complex environmental scenarios, metabolomic responses to exposure can be distorted by background and/or organismal variation. In the current study, we use LC-MS (liquid chromatography-mass spectrometry) and GC-MS (gas chromatography-mass spectrometry) to measure metabolites of the midge Procladius villosimanus inhabiting 21 urban wetlands. These metabolites were tested against common sediment contaminants using random forest models and metabolite enrichment analysis. Sediment contaminant concentrations in the field correlated with several P. villosimanus metabolites despite natural environmental and organismal variation. Furthermore, enrichment analysis indicated that metabolite sets implicated in stress responses were enriched, pointing to specific cellular functions affected by exposure. Methionine metabolism, sugar metabolism and glycerolipid metabolism associated with total petroleum hydrocarbon and metal concentrations, while mitochondrial electron transport and urea cycle sets associated only with bifenthrin. These results demonstrate the potential for metabolomics approaches to provide useful information in field-based environmental assessments. MDPI 2017-12-18 /pmc/articles/PMC5746744/ /pubmed/29258276 http://dx.doi.org/10.3390/metabo7040064 Text en © 2017 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Jeppe, Katherine J.
Kouremenos, Konstantinos A.
Townsend, Kallie R.
MacMahon, Daniel F.
Sharley, David
Tull, Dedreia L.
Hoffmann, Ary A.
Pettigrove, Vincent
Long, Sara M.
Metabolomic Profiles of a Midge (Procladius villosimanus, Kieffer) Are Associated with Sediment Contamination in Urban Wetlands
title Metabolomic Profiles of a Midge (Procladius villosimanus, Kieffer) Are Associated with Sediment Contamination in Urban Wetlands
title_full Metabolomic Profiles of a Midge (Procladius villosimanus, Kieffer) Are Associated with Sediment Contamination in Urban Wetlands
title_fullStr Metabolomic Profiles of a Midge (Procladius villosimanus, Kieffer) Are Associated with Sediment Contamination in Urban Wetlands
title_full_unstemmed Metabolomic Profiles of a Midge (Procladius villosimanus, Kieffer) Are Associated with Sediment Contamination in Urban Wetlands
title_short Metabolomic Profiles of a Midge (Procladius villosimanus, Kieffer) Are Associated with Sediment Contamination in Urban Wetlands
title_sort metabolomic profiles of a midge (procladius villosimanus, kieffer) are associated with sediment contamination in urban wetlands
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5746744/
https://www.ncbi.nlm.nih.gov/pubmed/29258276
http://dx.doi.org/10.3390/metabo7040064
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