Impact of offshore oil drilling operations on the diversity of marine benthic Foraminifera - Raw sequence reads
Citation
MGnify (2019). Impact of offshore oil drilling operations on the diversity of marine benthic Foraminifera - Raw sequence reads. Sampling event dataset https://doi.org/10.15468/odrbe0 accessed via GBIF.org on 2024-11-01.Description
Environmental impacts from offshore oil and gas activities are currently partly determined by measuring changes in macro-infaunal diversity determined using microscopy. In this study, we evaluated the applicability of using foraminiferal-specific metabarcoding (i.e. high-throughput sequencing of foraminiferal environmental DNA marker sequences). Sediment samples were collected along distance gradients from two oil platform wellheads (WHs) off Taranaki (New Zealand) and their physico-chemical properties, foraminiferal environmental DNA/RNA, and macro-infaunal composition analysed.Our results suggest that foraminiferal metabarcoding may provide a more accurate assessment of the conditions of environmental communities at the time of sampling than current methods based on morphological examination. These data highlight the potential of foraminiferal metabarcoding as an effective asset to existing monitoring techniques.Sampling Description
Sampling
Environmental impacts from offshore oil and gas activities are currently partly determined by measuring changes in macro-infaunal diversity determined using microscopy. In this study, we evaluated the applicability of using foraminiferal-specific metabarcoding (i.e. high-throughput sequencing of foraminiferal environmental DNA marker sequences). Sediment samples were collected along distance gradients from two oil platform wellheads (WHs) off Taranaki (New Zealand) and their physico-chemical properties, foraminiferal environmental DNA/RNA, and macro-infaunal composition analysed.Our results suggest that foraminiferal metabarcoding may provide a more accurate assessment of the conditions of environmental communities at the time of sampling than current methods based on morphological examination. These data highlight the potential of foraminiferal metabarcoding as an effective asset to existing monitoring techniques.Method steps
- Pipeline used: https://www.ebi.ac.uk/metagenomics/pipelines/4.1
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originatorUniversity of Geneva
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University of Geneva
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University of Geneva