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Title: Determining the Reliability of Measuring Mercury Cycling Gene Abundance with Correlations with Mercury and Methylmercury Concentrations

Abstract

Methylmercury (MeHg) is a bioaccumulative toxic contaminant in many ecosystems, but factors governing its production are poorly understood. Recent work has shown that the anaerobic microbial conversion of mercury (Hg) to MeHg requires the Hg-methylation genes hgcAB and that these genes can be used as biomarkers in PCR-based estimators of Hg-methylator abundance. In an effort to determine reliable methods for assessing hgcA abundance and diversity and linking them to MeHg concentrations, multiple approaches were compared including metagenomic shotgun sequencing, 16S rRNA gene pyrosequencing and cloning/sequencing hgcAB gene products. Hg-methylator abundance was also determined by quantitative hgcA qPCR amplification and metaproteomics for comparison to the above measurements. Samples from eight sites were examined covering a range of total Hg (HgT; 0.03–14 mg kg–1 dry wt. soil) and MeHg (0.05–27 μg kg–1 dry wt. soil) concentrations. In the metagenome and amplicon sequencing of hgcAB diversity, the Deltaproteobacteria were the dominant Hg-methylators while Firmicutes and methanogenic Archaea were typically ~50% less abundant. This was consistent with metaproteomics estimates where the Deltaproteobacteria were steadily higher. The 16S rRNA gene pyrosequencing did not have sufficient resolution to identify hgcAB+ species. Metagenomic and hgcAB results were similar for Hg-methylator diversity and clade-specific qPCR-based approaches for hgcAmore » are only appropriate when comparing the abundance of a particular clade across various samples. Weak correlations between Hg-methylating bacteria and soil Hg concentrations were observed for similar environmental samples, but overall total Hg and MeHg concentrations poorly correlated with Hg-cycling genes.« less

Authors:
ORCiD logo [1]; ORCiD logo [1]; ORCiD logo [1];  [2];  [3];  [4];  [5];  [5]; ORCiD logo [1];  [1]; ORCiD logo [1]; ORCiD logo [1];  [1]; ORCiD logo [6];  [7]; ORCiD logo [8];  [9];  [10]; ORCiD logo [1]
  1. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Biosciences Division
  2. Univ. of Idaho, Moscow, ID (United States). College of Engineering
  3. Ramapo College of New Jersey, Mahwah, NJ (United States). School of Theoretical and Applied Science
  4. Texas A&M Univ., Overton, TC (United States). Dept. of Soil and Crop Sciences
  5. Pacific Northwest National Lab. (PNNL), Richland, WA (United States). Biological Sciences Division
  6. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Environmental Sciences Division
  7. Montana State Univ., Bozeman, MT (United States). Center for Biofilm Engineering
  8. Montana State Univ., Bozeman, MT (United States). Center for Biofilm Engineering and Dept. of Microbiology and Immunology
  9. Univ. of Missouri, Columbia, MO (United States). Dept.of Biochemistry,
  10. Smithsonian Environmental Research Center, Edgewater, Maryland 21037, United States
Publication Date:
Research Org.:
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Biological and Environmental Research (BER)
OSTI Identifier:
1557487
Alternate Identifier(s):
OSTI ID: 1671432
Grant/Contract Number:  
AC05-00OR22725
Resource Type:
Accepted Manuscript
Journal Name:
Environmental Science and Technology
Additional Journal Information:
Journal Volume: 53; Journal Issue: 15; Journal ID: ISSN 0013-936X
Publisher:
American Chemical Society (ACS)
Country of Publication:
United States
Language:
English
Subject:
59 BASIC BIOLOGICAL SCIENCES; microbial community; PCR; qPCR; metagenome; hgcAB; 16S sequencing

Citation Formats

Christensen, Geoff A., Gionfriddo, Caitlin M., King, Andrew J., Moberly, James G., Miller, Carrie L., Somenahally, Anil C., Callister, Stephen J., Brewer, Heather, Podar, Mircea, Brown, Steven D., Palumbo, Anthony V., Brandt, Craig C., Wymore, Ann M., Brooks, Scott C., Hwang, Chiachi, Fields, Matthew W., Wall, Judy D., Gilmour, Cynthia C., and Elias, Dwayne A. Determining the Reliability of Measuring Mercury Cycling Gene Abundance with Correlations with Mercury and Methylmercury Concentrations. United States: N. p., 2019. Web. doi:10.1021/acs.est.8b06389.
Christensen, Geoff A., Gionfriddo, Caitlin M., King, Andrew J., Moberly, James G., Miller, Carrie L., Somenahally, Anil C., Callister, Stephen J., Brewer, Heather, Podar, Mircea, Brown, Steven D., Palumbo, Anthony V., Brandt, Craig C., Wymore, Ann M., Brooks, Scott C., Hwang, Chiachi, Fields, Matthew W., Wall, Judy D., Gilmour, Cynthia C., & Elias, Dwayne A. Determining the Reliability of Measuring Mercury Cycling Gene Abundance with Correlations with Mercury and Methylmercury Concentrations. United States. https://doi.org/10.1021/acs.est.8b06389
Christensen, Geoff A., Gionfriddo, Caitlin M., King, Andrew J., Moberly, James G., Miller, Carrie L., Somenahally, Anil C., Callister, Stephen J., Brewer, Heather, Podar, Mircea, Brown, Steven D., Palumbo, Anthony V., Brandt, Craig C., Wymore, Ann M., Brooks, Scott C., Hwang, Chiachi, Fields, Matthew W., Wall, Judy D., Gilmour, Cynthia C., and Elias, Dwayne A. Mon . "Determining the Reliability of Measuring Mercury Cycling Gene Abundance with Correlations with Mercury and Methylmercury Concentrations". United States. https://doi.org/10.1021/acs.est.8b06389. https://www.osti.gov/servlets/purl/1557487.
@article{osti_1557487,
title = {Determining the Reliability of Measuring Mercury Cycling Gene Abundance with Correlations with Mercury and Methylmercury Concentrations},
author = {Christensen, Geoff A. and Gionfriddo, Caitlin M. and King, Andrew J. and Moberly, James G. and Miller, Carrie L. and Somenahally, Anil C. and Callister, Stephen J. and Brewer, Heather and Podar, Mircea and Brown, Steven D. and Palumbo, Anthony V. and Brandt, Craig C. and Wymore, Ann M. and Brooks, Scott C. and Hwang, Chiachi and Fields, Matthew W. and Wall, Judy D. and Gilmour, Cynthia C. and Elias, Dwayne A.},
abstractNote = {Methylmercury (MeHg) is a bioaccumulative toxic contaminant in many ecosystems, but factors governing its production are poorly understood. Recent work has shown that the anaerobic microbial conversion of mercury (Hg) to MeHg requires the Hg-methylation genes hgcAB and that these genes can be used as biomarkers in PCR-based estimators of Hg-methylator abundance. In an effort to determine reliable methods for assessing hgcA abundance and diversity and linking them to MeHg concentrations, multiple approaches were compared including metagenomic shotgun sequencing, 16S rRNA gene pyrosequencing and cloning/sequencing hgcAB gene products. Hg-methylator abundance was also determined by quantitative hgcA qPCR amplification and metaproteomics for comparison to the above measurements. Samples from eight sites were examined covering a range of total Hg (HgT; 0.03–14 mg kg–1 dry wt. soil) and MeHg (0.05–27 μg kg–1 dry wt. soil) concentrations. In the metagenome and amplicon sequencing of hgcAB diversity, the Deltaproteobacteria were the dominant Hg-methylators while Firmicutes and methanogenic Archaea were typically ~50% less abundant. This was consistent with metaproteomics estimates where the Deltaproteobacteria were steadily higher. The 16S rRNA gene pyrosequencing did not have sufficient resolution to identify hgcAB+ species. Metagenomic and hgcAB results were similar for Hg-methylator diversity and clade-specific qPCR-based approaches for hgcA are only appropriate when comparing the abundance of a particular clade across various samples. Weak correlations between Hg-methylating bacteria and soil Hg concentrations were observed for similar environmental samples, but overall total Hg and MeHg concentrations poorly correlated with Hg-cycling genes.},
doi = {10.1021/acs.est.8b06389},
journal = {Environmental Science and Technology},
number = 15,
volume = 53,
place = {United States},
year = {Mon Jul 01 00:00:00 EDT 2019},
month = {Mon Jul 01 00:00:00 EDT 2019}
}

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Free Publicly Available Full Text
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Cited by: 56 works
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Figures / Tables:

Table 1 Table 1: Site Hg Concentrations and hgcA(B) Diversity and Abundance by Methods

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