Using meta‐omics of contaminated sediments to monitor changes in pathways relevant to climate regulation
Microbially mediated biogeochemical processes are crucial for climate regulation and may be disrupted by anthropogenic contaminants. To better manage contaminants, we need tools that make real‐time causal links between stressors and altered microbial functions, and the potential consequences for eco...
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sg-ntu-dr.10356-1050142019-12-10T14:06:53Z Using meta‐omics of contaminated sediments to monitor changes in pathways relevant to climate regulation Kelaher, Brendan P. Birrer, Simone C. Dafforn, Katherine A. Sun, Melanie Y. Potts, Jaimie Scanes, Peter Simpson, Stuart L. Kjelleberg, Staffan Swarup, Sanjay Steinberg, Peter Johnston, Emma L. Williams, Rohan Benjamin Hugh Singapore Centre for Environmental Life Sciences and Engineering Nitrogen Cycle DRNTU::Engineering::Environmental engineering Denitrification Microbially mediated biogeochemical processes are crucial for climate regulation and may be disrupted by anthropogenic contaminants. To better manage contaminants, we need tools that make real‐time causal links between stressors and altered microbial functions, and the potential consequences for ecosystem services such as climate regulation. In a manipulative field experiment, we used metatranscriptomics to investigate the impact of excess organic enrichment and metal contamination on the gene expression of nitrogen and sulfur metabolisms in coastal sediments. Our gene expression data suggest that excess organic enrichment results in (i) higher transcript levels of genes involved in the production of toxic ammonia and hydrogen sulfide and (ii) lower transcript levels associated with the degradation of a greenhouse gas (nitrous oxide). However, metal contamination did not have any significant impact on gene expression. We reveal the genetic mechanisms that may lead to altered productivity and greenhouse gas production in coastal sediments due to anthropogenic contaminants. Our data highlight the applicability of metatranscriptomics as a management tool that provides an immense breadth of information and can identify potentially impacted process measurements that need further investigation. 2019-06-11T09:02:15Z 2019-12-06T21:44:30Z 2019-06-11T09:02:15Z 2019-12-06T21:44:30Z 2018 Journal Article Birrer, S. C., Dafforn, K. A., Sun, M. Y., Williams, R. B. H., Potts, J., Scanes, P., . . . Johnston, E. L. (2019). Using meta‐omics of contaminated sediments to monitor changes in pathways relevant to climate regulation. Environmental Microbiology, 21(1), 389-401. doi:10.1111/1462-2920.14470 1462-2912 https://hdl.handle.net/10356/105014 http://hdl.handle.net/10220/48643 http://dx.doi.org/10.1111/1462-2920.14470 en Environmental Microbiology © 2018 Society for Applied Microbiology and John Wiley & Sons Ltd. All rights reserved. |
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Nitrogen Cycle DRNTU::Engineering::Environmental engineering Denitrification Kelaher, Brendan P. Birrer, Simone C. Dafforn, Katherine A. Sun, Melanie Y. Potts, Jaimie Scanes, Peter Simpson, Stuart L. Kjelleberg, Staffan Swarup, Sanjay Steinberg, Peter Johnston, Emma L. Williams, Rohan Benjamin Hugh Using meta‐omics of contaminated sediments to monitor changes in pathways relevant to climate regulation |
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Microbially mediated biogeochemical processes are crucial for climate regulation and may be disrupted by anthropogenic contaminants. To better manage contaminants, we need tools that make real‐time causal links between stressors and altered microbial functions, and the potential consequences for ecosystem services such as climate regulation. In a manipulative field experiment, we used metatranscriptomics to investigate the impact of excess organic enrichment and metal contamination on the gene expression of nitrogen and sulfur metabolisms in coastal sediments. Our gene expression data suggest that excess organic enrichment results in (i) higher transcript levels of genes involved in the production of toxic ammonia and hydrogen sulfide and (ii) lower transcript levels associated with the degradation of a greenhouse gas (nitrous oxide). However, metal contamination did not have any significant impact on gene expression. We reveal the genetic mechanisms that may lead to altered productivity and greenhouse gas production in coastal sediments due to anthropogenic contaminants. Our data highlight the applicability of metatranscriptomics as a management tool that provides an immense breadth of information and can identify potentially impacted process measurements that need further investigation. |
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Singapore Centre for Environmental Life Sciences and Engineering |
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Singapore Centre for Environmental Life Sciences and Engineering Kelaher, Brendan P. Birrer, Simone C. Dafforn, Katherine A. Sun, Melanie Y. Potts, Jaimie Scanes, Peter Simpson, Stuart L. Kjelleberg, Staffan Swarup, Sanjay Steinberg, Peter Johnston, Emma L. Williams, Rohan Benjamin Hugh |
format |
Article |
author |
Kelaher, Brendan P. Birrer, Simone C. Dafforn, Katherine A. Sun, Melanie Y. Potts, Jaimie Scanes, Peter Simpson, Stuart L. Kjelleberg, Staffan Swarup, Sanjay Steinberg, Peter Johnston, Emma L. Williams, Rohan Benjamin Hugh |
author_sort |
Kelaher, Brendan P. |
title |
Using meta‐omics of contaminated sediments to monitor changes in pathways relevant to climate regulation |
title_short |
Using meta‐omics of contaminated sediments to monitor changes in pathways relevant to climate regulation |
title_full |
Using meta‐omics of contaminated sediments to monitor changes in pathways relevant to climate regulation |
title_fullStr |
Using meta‐omics of contaminated sediments to monitor changes in pathways relevant to climate regulation |
title_full_unstemmed |
Using meta‐omics of contaminated sediments to monitor changes in pathways relevant to climate regulation |
title_sort |
using meta‐omics of contaminated sediments to monitor changes in pathways relevant to climate regulation |
publishDate |
2019 |
url |
https://hdl.handle.net/10356/105014 http://hdl.handle.net/10220/48643 http://dx.doi.org/10.1111/1462-2920.14470 |
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1681035718120439808 |