Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/105014
Full metadata record
DC FieldValueLanguage
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.date.accessioned2019-06-11T09:02:15Zen
dc.date.accessioned2019-12-06T21:44:30Z-
dc.date.available2019-06-11T09:02:15Zen
dc.date.available2019-12-06T21:44:30Z-
dc.date.issued2018en
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.identifier.issn1462-2912en
dc.identifier.urihttps://hdl.handle.net/10356/105014-
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.language.isoenen
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.subjectDenitrificationen
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
dc.identifier.doi10.1111/1462-2920.14470en
item.grantfulltextnone-
item.fulltextNo Fulltext-
Appears in Collections:SCELSE Journal Articles

SCOPUSTM   
Citations 20

25
Updated on Mar 18, 2023

Web of ScienceTM
Citations 10

23
Updated on Mar 16, 2023

Page view(s)

329
Updated on Mar 22, 2023

Google ScholarTM

Check

Altmetric


Plumx

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.