PoplarV1, Main, Corpus, bibRecord, 000775

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

Identifieur interne : 000775 ( Main/Corpus ); précédent : 000774; suivant : 000776

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

Auteurs : Grace E. Schwartz ; Todd A. Olsen ; Katherine A. Muller ; Scott C. Brooks

Source :

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

RBID : pubmed:31365146

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

Links to Exploration step

pubmed:31365146

Le document en format XML

<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Ecosystem Controls on Methylmercury Production by Periphyton Biofilms in a Contaminated Stream: Implications for Predictive Modeling.</title>
<author><name sortKey="Schwartz, Grace E" sort="Schwartz, Grace E" uniqKey="Schwartz G" first="Grace E" last="Schwartz">Grace E. Schwartz</name>
<affiliation><nlm:affiliation>Environmental Sciences Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA.</nlm:affiliation>
</affiliation>
</author>
<author><name sortKey="Olsen, Todd A" sort="Olsen, Todd A" uniqKey="Olsen T" first="Todd A" last="Olsen">Todd A. Olsen</name>
<affiliation><nlm:affiliation>Environmental Sciences Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA.</nlm:affiliation>
</affiliation>
</author>
<author><name sortKey="Muller, Katherine A" sort="Muller, Katherine A" uniqKey="Muller K" first="Katherine A" last="Muller">Katherine A. Muller</name>
<affiliation><nlm:affiliation>Environmental Sciences Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA.</nlm:affiliation>
</affiliation>
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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>
<affiliation><nlm:affiliation>Environmental Sciences Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA.</nlm:affiliation>
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<sourceDesc><biblStruct><analytic><title xml:lang="en">Ecosystem Controls on Methylmercury Production by Periphyton Biofilms in a Contaminated Stream: Implications for Predictive Modeling.</title>
<author><name sortKey="Schwartz, Grace E" sort="Schwartz, Grace E" uniqKey="Schwartz G" first="Grace E" last="Schwartz">Grace E. Schwartz</name>
<affiliation><nlm:affiliation>Environmental Sciences Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA.</nlm:affiliation>
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<author><name sortKey="Olsen, Todd A" sort="Olsen, Todd A" uniqKey="Olsen T" first="Todd A" last="Olsen">Todd A. Olsen</name>
<affiliation><nlm:affiliation>Environmental Sciences Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA.</nlm:affiliation>
</affiliation>
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<author><name sortKey="Muller, Katherine A" sort="Muller, Katherine A" uniqKey="Muller K" first="Katherine A" last="Muller">Katherine A. Muller</name>
<affiliation><nlm:affiliation>Environmental Sciences Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA.</nlm:affiliation>
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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>
<affiliation><nlm:affiliation>Environmental Sciences Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA.</nlm:affiliation>
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<series><title level="j">Environmental toxicology and chemistry</title>
<idno type="eISSN">1552-8618</idno>
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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="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="chemistry" xml:lang="en"><term>Rivers</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>
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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>
<pubmed><MedlineCitation Status="MEDLINE" IndexingMethod="Curated" Owner="NLM"><PMID Version="1">31365146</PMID>
<DateCompleted><Year>2020</Year>
<Month>04</Month>
<Day>17</Day>
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<DateRevised><Year>2020</Year>
<Month>04</Month>
<Day>17</Day>
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<Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1552-8618</ISSN>
<JournalIssue CitedMedium="Internet"><Volume>38</Volume>
<Issue>11</Issue>
<PubDate><Year>2019</Year>
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<Title>Environmental toxicology and chemistry</Title>
<ISOAbbreviation>Environ Toxicol Chem</ISOAbbreviation>
</Journal>
<ArticleTitle>Ecosystem Controls on Methylmercury Production by Periphyton Biofilms in a Contaminated Stream: Implications for Predictive Modeling.</ArticleTitle>
<Pagination><MedlinePgn>2426-2435</MedlinePgn>
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<ELocationID EIdType="doi" ValidYN="Y">10.1002/etc.4551</ELocationID>
<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>
</AuthorList>
<Language>eng</Language>
<PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType>
<PublicationType UI="D013485">Research Support, Non-U.S. Gov't</PublicationType>
<PublicationType UI="D013486">Research Support, U.S. Gov't, Non-P.H.S.</PublicationType>
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<ArticleDate DateType="Electronic"><Year>2019</Year>
<Month>09</Month>
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<MedlineJournalInfo><Country>United States</Country>
<MedlineTA>Environ Toxicol Chem</MedlineTA>
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<ISSNLinking>0730-7268</ISSNLinking>
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<MeshHeadingList><MeshHeading><DescriptorName UI="D018441" MajorTopicYN="Y">Biofilms</DescriptorName>
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<MeshHeading><DescriptorName UI="D017753" MajorTopicYN="Y">Ecosystem</DescriptorName>
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<MeshHeading><DescriptorName UI="D008628" MajorTopicYN="N">Mercury</DescriptorName>
<QualifierName UI="Q000032" MajorTopicYN="N">analysis</QualifierName>
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<MeshHeading><DescriptorName UI="D008745" MajorTopicYN="N">Methylation</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D008767" MajorTopicYN="N">Methylmercury Compounds</DescriptorName>
<QualifierName UI="Q000032" MajorTopicYN="Y">analysis</QualifierName>
</MeshHeading>
<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>
</MeshHeading>
<MeshHeading><DescriptorName UI="D014874" MajorTopicYN="N">Water Pollutants, Chemical</DescriptorName>
<QualifierName UI="Q000032" MajorTopicYN="Y">analysis</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D060753" MajorTopicYN="N">Water Quality</DescriptorName>
</MeshHeading>
</MeshHeadingList>
<KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="Y">Kinetics</Keyword>
<Keyword MajorTopicYN="Y">Methylmercury</Keyword>
<Keyword MajorTopicYN="Y">Periphyton</Keyword>
</KeywordList>
</MedlineCitation>
<PubmedData><History><PubMedPubDate PubStatus="received"><Year>2019</Year>
<Month>05</Month>
<Day>13</Day>
</PubMedPubDate>
<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>
</PubMedPubDate>
<PubMedPubDate PubStatus="pubmed"><Year>2019</Year>
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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 :

English descriptors

Abstract

Links to Exploration step

Le document en format XML

Pour manipuler ce document sous Unix (Dilib)

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