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dc.contributor.authorLaroche, Olivier*
dc.contributor.authorWood, Susanna A.*
dc.contributor.authorTremblay, Louis A.*
dc.contributor.authorEllis, Joanne*
dc.contributor.authorLear, Gavin*
dc.contributor.authorPochon, Xavier*
dc.date.accessioned2018-01-01T12:19:06Z
dc.date.available2018-01-01T12:19:06Z
dc.date.issued2017-12-01en
dc.identifier.citationLaroche O, Wood SA, Tremblay LA, Ellis JI, Lear G, et al. (2018) A cross-taxa study using environmental DNA/RNA metabarcoding to measure biological impacts of offshore oil and gas drilling and production operations. Marine Pollution Bulletin 127: 97–107. Available: http://dx.doi.org/10.1016/j.marpolbul.2017.11.042.en
dc.identifier.issn0025-326Xen
dc.identifier.doi10.1016/j.marpolbul.2017.11.042en
dc.identifier.urihttp://hdl.handle.net/10754/626658
dc.description.abstractStandardized ecosystem-based monitoring surveys are critical for providing information on marine ecosystem health. Environmental DNA/RNA (eDNA/eRNA) metabarcoding may facilitate such surveys by quickly and effectively characterizing multi-trophic levels. In this study, we assessed the suitability of eDNA/eRNA metabarcoding to evaluate changes in benthic assemblages of bacteria, Foraminifera and other eukaryotes along transects at three offshore oil and gas (O&G) drilling and production sites, and compared these to morphologically characterized macro-faunal assemblages. Bacterial communities were the most responsive to O&G activities, followed by Foraminifera, and macro-fauna (the latter assessed by morphology). The molecular approach enabled detection of hydrocarbon degrading taxa such as the bacteria Alcanivorax and Microbulbifer at petroleum impacted stations. Most identified indicator taxa, notably among macro-fauna, were highly specific to site conditions. Based on our results we suggest that eDNA/eRNA metabarcoding can be used as a stand-alone method for biodiversity assessment or as a complement to morphology-based monitoring approaches.en
dc.description.sponsorshipThe authors thank Olivia Johnston (Cawthron), Deanna Elvines (Cawthron) and Resource and Environmental Management Ltd. (REM; Nelson, New Zealand) for collection of samples and physico-chemical data, and taxonomist groups at Cawthron Institute (Fiona Gower) and REM for providing the macro infauna data. We express our gratitude to Simon Knapman (AWE Ltd) and Matiu Park (OMV NZ Ltd) for providing access to samples, valuable discussions and in-kind support. This research was co-funded by the Cawthron Institute Internal Investment Fund (IIF #15955) and the “Fonds de Recherche du Québec - Natures et Technologies” as part of a doctoral research scholarship (grant ID#184395).en
dc.publisherElsevier BVen
dc.relation.urlhttp://www.sciencedirect.com/science/article/pii/S0025326X17309992en
dc.subjectBiomonitoringen
dc.subjectBenthic ecologyen
dc.subjectHigh-throughput sequencingen
dc.subjectBacteria 16Sen
dc.subjectEukaryotes 18Sen
dc.subjectForaminifera 18Sen
dc.titleA cross-taxa study using environmental DNA/RNA metabarcoding to measure biological impacts of offshore oil and gas drilling and production operationsen
dc.typeArticleen
dc.contributor.departmentRed Sea Research Center (RSRC)*
dc.identifier.journalMarine Pollution Bulletinen
dc.contributor.institutionSchool of Biological Sciences, University of Auckland, Private Bag 349, Warkworth 0941, New Zealand*
dc.contributor.institutionCoastal and Freshwater Group, Cawthron Institute, Private Bag 2, Nelson 7042, New Zealand*
dc.contributor.institutionEnvironmental Research Institute, The University of Waikato, Private Bag 3105, Hamilton 3240, New Zealand*
dc.contributor.institutionInstitute of Marine Science, University of Auckland, Private Bag 349, Warkworth 0941, New Zealand*
kaust.authorEllis, Joanne*


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