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dc.contributor.authorKelaher, Brendan P.en
dc.contributor.authorBirrer, Simone C.en
dc.contributor.authorDafforn, Katherine A.en
dc.contributor.authorSun, Melanie Y.en
dc.contributor.authorPotts, Jaimieen
dc.contributor.authorScanes, Peteren
dc.contributor.authorSimpson, Stuart L.en
dc.contributor.authorKjelleberg, Staffanen
dc.contributor.authorSwarup, Sanjayen
dc.contributor.authorSteinberg, Peteren
dc.contributor.authorJohnston, Emma L.en
dc.contributor.authorWilliams, Rohan Benjamin Hughen
dc.identifier.citationBirrer, 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:10.1111/1462-2920.14470en
dc.description.abstractMicrobially 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.en
dc.relation.ispartofseriesEnvironmental Microbiologyen
dc.rights© 2018 Society for Applied Microbiology and John Wiley & Sons Ltd. All rights reserved.en
dc.subjectNitrogen Cycleen
dc.subjectDRNTU::Engineering::Environmental engineeringen
dc.titleUsing meta‐omics of contaminated sediments to monitor changes in pathways relevant to climate regulationen
dc.typeJournal Articleen
dc.contributor.researchSingapore Centre for Environmental Life Sciences and Engineeringen
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