PoplarV1, Main, Exploration, bibRecord, 000A10

Ecosystem Controls on Methylmercury Production by Periphyton Biofilms in a Contaminated Stream: Implications for Predictive Modeling.

Identifieur interne : 000A10 ( Main/Exploration ); précédent : 000A09; suivant : 000A11

Ecosystem Controls on Methylmercury Production by Periphyton Biofilms in a Contaminated Stream: Implications for Predictive Modeling.

Auteurs : Grace E. Schwartz [États-Unis] ; Todd A. Olsen [États-Unis] ; Katherine A. Muller [États-Unis] ; Scott C. Brooks [États-Unis]

Source :

Environmental toxicology and chemistry [ 1552-8618 ] ; 2019.

RBID : pubmed:31365146

Descripteurs français

KwdFr :
- Biofilms (MeSH), Composés méthylés du mercure (analyse), Facteurs temps (MeSH), Mercure (analyse), Modèles théoriques (MeSH), Méthylation (MeSH), Polluants chimiques de l'eau (analyse), Périphyton (MeSH), Qualité de l'eau (MeSH), Rivières (composition chimique), Saisons (MeSH), Tennessee (MeSH), Écosystème (MeSH).
MESH :
- analyse : Composés méthylés du mercure, Mercure, Polluants chimiques de l'eau.
- composition chimique : Rivières.
- Biofilms, Facteurs temps, Modèles théoriques, Méthylation, Périphyton, Qualité de l'eau, Saisons, Tennessee, Écosystème.

English descriptors

KwdEn :
- Biofilms (MeSH), Ecosystem (MeSH), Mercury (analysis), Methylation (MeSH), Methylmercury Compounds (analysis), Models, Theoretical (MeSH), Periphyton (MeSH), Rivers (chemistry), Seasons (MeSH), Tennessee (MeSH), Time Factors (MeSH), Water Pollutants, Chemical (analysis), Water Quality (MeSH).
MESH :
- chemical , analysis : Mercury, Methylmercury Compounds, Water Pollutants, Chemical.
- geographic : Tennessee.
- chemistry : Rivers.
- Biofilms, Ecosystem, Methylation, Models, Theoretical, Periphyton, Seasons, Time Factors, Water Quality.

Abstract

Periphyton biofilms produce a substantial fraction of the overall monomethylmercury (MMHg) flux in East Fork Poplar Creek, an industrially contaminated, freshwater creek in Oak Ridge, Tennessee. We examined periphyton MMHg production across seasons, locations, and light conditions using mercury stable isotopes. Methylation and demethylation rate potentials (k_{m, trans av} and k_{d, trans av} , respectively) were calculated using a transient availability kinetic model. Light exposure and season were significant predictors of k_{m, trans av} , with greater values in full light exposure and in the summer. Season, light exposure, and location were significant predictors of k_{d, trans av} , which was highest in dark conditions, in the spring, and at the upstream location. Light exposure was the controlling factor for net MMHg production, with positive production for periphyton grown under full light exposure and net demethylation for periphyton grown in the dark. Ambient MMHg and k_{m, trans av} were significantly correlated. Transient availability rate potentials were 15 times higher for k_m and 9 times higher for k_d compared to full availability rate potentials (k_{m, full av} and k_{d, full av} ) calculated at 1 d. No significant model for the prediction of k_{m, full av} or k_{d, full av} could be constructed using light, season, and location. In addition, there were no significant differences among treatments for the full availability k_{m, full av} , k_{d, full av} , or net MMHg calculated using the full availability rate potentials. k_{m, full av} was not correlated with ambient MMHg concentrations. The present results underscore the importance of applying transient availability kinetics to MMHg production data when estimating MMHg production potential and flux. Environ Toxicol Chem 2019;38:2426-2435. © 2019 SETAC.

DOI: 10.1002/etc.4551
PubMed: 31365146

Affiliations:

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Le document en format XML

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<author><name sortKey="Brooks, Scott C" sort="Brooks, Scott C" uniqKey="Brooks S" first="Scott C" last="Brooks">Scott C. Brooks</name>
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<country xml:lang="fr">États-Unis</country>
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<profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Biofilms (MeSH)</term>
<term>Ecosystem (MeSH)</term>
<term>Mercury (analysis)</term>
<term>Methylation (MeSH)</term>
<term>Methylmercury Compounds (analysis)</term>
<term>Models, Theoretical (MeSH)</term>
<term>Periphyton (MeSH)</term>
<term>Rivers (chemistry)</term>
<term>Seasons (MeSH)</term>
<term>Tennessee (MeSH)</term>
<term>Time Factors (MeSH)</term>
<term>Water Pollutants, Chemical (analysis)</term>
<term>Water Quality (MeSH)</term>
</keywords>
<keywords scheme="KwdFr" xml:lang="fr"><term>Biofilms (MeSH)</term>
<term>Composés méthylés du mercure (analyse)</term>
<term>Facteurs temps (MeSH)</term>
<term>Mercure (analyse)</term>
<term>Modèles théoriques (MeSH)</term>
<term>Méthylation (MeSH)</term>
<term>Polluants chimiques de l'eau (analyse)</term>
<term>Périphyton (MeSH)</term>
<term>Qualité de l'eau (MeSH)</term>
<term>Rivières (composition chimique)</term>
<term>Saisons (MeSH)</term>
<term>Tennessee (MeSH)</term>
<term>Écosystème (MeSH)</term>
</keywords>
<keywords scheme="MESH" type="chemical" qualifier="analysis" xml:lang="en"><term>Mercury</term>
<term>Methylmercury Compounds</term>
<term>Water Pollutants, Chemical</term>
</keywords>
<keywords scheme="MESH" type="geographic" xml:lang="en"><term>Tennessee</term>
</keywords>
<keywords scheme="MESH" qualifier="analyse" xml:lang="fr"><term>Composés méthylés du mercure</term>
<term>Mercure</term>
<term>Polluants chimiques de l'eau</term>
</keywords>
<keywords scheme="MESH" qualifier="chemistry" xml:lang="en"><term>Rivers</term>
</keywords>
<keywords scheme="MESH" qualifier="composition chimique" xml:lang="fr"><term>Rivières</term>
</keywords>
<keywords scheme="MESH" xml:lang="en"><term>Biofilms</term>
<term>Ecosystem</term>
<term>Methylation</term>
<term>Models, Theoretical</term>
<term>Periphyton</term>
<term>Seasons</term>
<term>Time Factors</term>
<term>Water Quality</term>
</keywords>
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<term>Facteurs temps</term>
<term>Modèles théoriques</term>
<term>Méthylation</term>
<term>Périphyton</term>
<term>Qualité de l'eau</term>
<term>Saisons</term>
<term>Tennessee</term>
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<front><div type="abstract" xml:lang="en">Periphyton biofilms produce a substantial fraction of the overall monomethylmercury (MMHg) flux in East Fork Poplar Creek, an industrially contaminated, freshwater creek in Oak Ridge, Tennessee. We examined periphyton MMHg production across seasons, locations, and light conditions using mercury stable isotopes. Methylation and demethylation rate potentials (k<sub>m, trans av</sub>
 and k<sub>d, trans av</sub>
 , respectively) were calculated using a transient availability kinetic model. Light exposure and season were significant predictors of k<sub>m, trans av</sub>
 , with greater values in full light exposure and in the summer. Season, light exposure, and location were significant predictors of k<sub>d, trans av</sub>
 , which was highest in dark conditions, in the spring, and at the upstream location. Light exposure was the controlling factor for net MMHg production, with positive production for periphyton grown under full light exposure and net demethylation for periphyton grown in the dark. Ambient MMHg and k<sub>m, trans av</sub>
 were significantly correlated. Transient availability rate potentials were 15 times higher for k<sub>m</sub>
 and 9 times higher for k<sub>d</sub>
 compared to full availability rate potentials (k<sub>m, full av</sub>
 and k<sub>d, full av</sub>
 ) calculated at 1 d. No significant model for the prediction of k<sub>m, full av</sub>
 or k<sub>d, full av</sub>
 could be constructed using light, season, and location. In addition, there were no significant differences among treatments for the full availability k<sub>m, full av</sub>
 , k<sub>d, full av</sub>
 , or net MMHg calculated using the full availability rate potentials. k<sub>m, full av</sub>
 was not correlated with ambient MMHg concentrations. The present results underscore the importance of applying transient availability kinetics to MMHg production data when estimating MMHg production potential and flux. Environ Toxicol Chem 2019;38:2426-2435. © 2019 SETAC.</div>
</front>
</TEI>
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<DateCompleted><Year>2020</Year>
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<Title>Environmental toxicology and chemistry</Title>
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<Abstract><AbstractText>Periphyton biofilms produce a substantial fraction of the overall monomethylmercury (MMHg) flux in East Fork Poplar Creek, an industrially contaminated, freshwater creek in Oak Ridge, Tennessee. We examined periphyton MMHg production across seasons, locations, and light conditions using mercury stable isotopes. Methylation and demethylation rate potentials (k<sub>m, trans av</sub>
 and k<sub>d, trans av</sub>
 , respectively) were calculated using a transient availability kinetic model. Light exposure and season were significant predictors of k<sub>m, trans av</sub>
 , with greater values in full light exposure and in the summer. Season, light exposure, and location were significant predictors of k<sub>d, trans av</sub>
 , which was highest in dark conditions, in the spring, and at the upstream location. Light exposure was the controlling factor for net MMHg production, with positive production for periphyton grown under full light exposure and net demethylation for periphyton grown in the dark. Ambient MMHg and k<sub>m, trans av</sub>
 were significantly correlated. Transient availability rate potentials were 15 times higher for k<sub>m</sub>
 and 9 times higher for k<sub>d</sub>
 compared to full availability rate potentials (k<sub>m, full av</sub>
 and k<sub>d, full av</sub>
 ) calculated at 1 d. No significant model for the prediction of k<sub>m, full av</sub>
 or k<sub>d, full av</sub>
 could be constructed using light, season, and location. In addition, there were no significant differences among treatments for the full availability k<sub>m, full av</sub>
 , k<sub>d, full av</sub>
 , or net MMHg calculated using the full availability rate potentials. k<sub>m, full av</sub>
 was not correlated with ambient MMHg concentrations. The present results underscore the importance of applying transient availability kinetics to MMHg production data when estimating MMHg production potential and flux. Environ Toxicol Chem 2019;38:2426-2435. © 2019 SETAC.</AbstractText>
<CopyrightInformation>© 2019 SETAC.</CopyrightInformation>
</Abstract>
<AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Schwartz</LastName>
<ForeName>Grace E</ForeName>
<Initials>GE</Initials>
<AffiliationInfo><Affiliation>Environmental Sciences Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Olsen</LastName>
<ForeName>Todd A</ForeName>
<Initials>TA</Initials>
<AffiliationInfo><Affiliation>Environmental Sciences Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Muller</LastName>
<ForeName>Katherine A</ForeName>
<Initials>KA</Initials>
<AffiliationInfo><Affiliation>Environmental Sciences Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Brooks</LastName>
<ForeName>Scott C</ForeName>
<Initials>SC</Initials>
<AffiliationInfo><Affiliation>Environmental Sciences Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA.</Affiliation>
</AffiliationInfo>
</Author>
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<Language>eng</Language>
<PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType>
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<Month>09</Month>
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<ChemicalList><Chemical><RegistryNumber>0</RegistryNumber>
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<MeshHeading><DescriptorName UI="D008962" MajorTopicYN="Y">Models, Theoretical</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D000074284" MajorTopicYN="Y">Periphyton</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D045483" MajorTopicYN="N">Rivers</DescriptorName>
<QualifierName UI="Q000737" MajorTopicYN="Y">chemistry</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D012621" MajorTopicYN="N">Seasons</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D013714" MajorTopicYN="N" Type="Geographic">Tennessee</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D013997" MajorTopicYN="N">Time Factors</DescriptorName>
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<KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="Y">Kinetics</Keyword>
<Keyword MajorTopicYN="Y">Methylmercury</Keyword>
<Keyword MajorTopicYN="Y">Periphyton</Keyword>
</KeywordList>
</MedlineCitation>
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<Month>05</Month>
<Day>13</Day>
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<PubMedPubDate PubStatus="revised"><Year>2019</Year>
<Month>06</Month>
<Day>12</Day>
</PubMedPubDate>
<PubMedPubDate PubStatus="accepted"><Year>2019</Year>
<Month>07</Month>
<Day>29</Day>
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Ecosystem Controls on Methylmercury Production by Periphyton Biofilms in a Contaminated Stream: Implications for Predictive Modeling.

Ecosystem Controls on Methylmercury Production by Periphyton Biofilms in a Contaminated Stream: Implications for Predictive Modeling.

Source :

Descripteurs français

English descriptors

Abstract

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