My research aims to better understand the relationships between microbial biodiversity and ecosystems functions and services. To this end, I combine environmental genomics and bioinformatics to address questions spanning the continuum from basic to applied research. My current activity focuses on reconstructing past marine ecosystems functioning using ancient eukaryotic DNA archived in the sediment record. This work aims to deliver DNA-based reconstructions of the past sea ice cover and carbon sequestration in polar regions.
Tristan Cordier
Senior Researcher
trco@norceresearch.no
+47 56 10 75 13
Jahnebakken 5, 5007 Bergen, Norway
Division
Climate & Environment
Research Groups
Molecular Ecology and Paleogenomics - MEP
More information about Tristan
Projects
Publications
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Conference lectureTracing changes in past biodiversity in the Arctic using ancient DNA– Arctic Frontiers 2024 2024
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Academic articleThe global genetic diversity of planktonic foraminifera reveals the structure of cryptic speciation in plankton– Biological Reviews 2024
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Conference lectureAssessing the impact of past environmental changes on marine protist biodiversity using sedimentary ancient DNA– ECOP/ISOP Joint meeting 2023 2023
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Conference lectureAssessing the impact of past environmental changes on Arctic biodiversity using sedimentary ancient DNA– Effects of Climate Change on the World’s Ocean, 5th International Symposium 2023
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Conference lectureEvaluating sedimentary ancient DNA as new proxy for sea ice variability in the Southern Ocean– ForBio Annual Meeting 2023 2023
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Academic articleCOBRA Master Class: Providing deep-sea expedition leadership training to accelerate early career advancement– Frontiers in Marine Science 2023
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Academic articleMachine learning in marine ecology: an overview of techniques and applications– ICES Journal of Marine Science 2023
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Academic articleSedimentary ancient DNA: a new paleogenomic tool for reconstructing the history of marine ecosystems– Frontiers in Marine Science 2023
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Conference lectureUsing ancient DNA sequencing to assess the impact of past environmental changes on marine protist biodiversity– Protist in Nordics Meeting 2022
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Conference lectureUsing sedimentary ancient DNA to reconstruct the impact of Holocene environmental change on Arctic ecosystems– PAGES 6th Open Science Meeting 2022
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Conference lectureTowards Late Quaternary sea ice reconstructions in the Arctic with sedimentary ancient DNA– EGU General Assembly 2022 2022
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Conference lectureLabrador Sea paleoceanography and paleodiversity across the Last Interglacial.– 6th PAGES Open Science Meeting 2022
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Research reportArctic Paleoceanography Cruise KH21-234 with R/V Kronprins Haakon– NORCE Norwegian Research Centre 2022
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Academic articlePatterns of eukaryotic diversity from the surface to the deep-ocean sediment– Science Advances 2022
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Conference lectureTowards a reconstruction of the past sea ice variations in the Arctic with sediment aDNA– MARUM aDNA Workshop 2021
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Academic articlePaleoEcoGen: Unlocking the power of ancient environmental DNA to understand past ecological trends– Past Global Changes Magazine 2021
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Academic articleEnvironmental DNA metabarcoding for benthic monitoring: A review of sediment sampling and DNA extraction methods– Science of the Total Environment 2021
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Academic articleEukaryotic biodiversity and spatial patterns in the Clarion-Clipperton Zone and other abyssal regions: insights from sediment DNA and RNA metabarcoding– Frontiers in Marine Science 2021
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Academic articleScientific and budgetary tradeoffs between morphological and molecular methods for deep-sea biodiversity assessment– Integrated Environmental Assessment and Management 2021
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Academic articleMicrobial community diversity and composition in river sediments contaminated with tetrabromobisphenol A and copper– Chemosphere 2021
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Academic articleBenthic monitoring of oil and gas offshore platforms in the North Sea using environmental DNA metabarcoding– Molecular Ecology 2021
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Academic articleMonitoring the ecological status of rivers with diatom eDNA metabarcoding: a comparison of taxonomic markers and analytical approaches for the inference of molecular diatom index– Molecular Ecology 2021
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Academic articleSupervised machine learning is superior to indicator value inference in monitoring the environmental impacts of salmon aquaculture using eDNA metabarcodes– Molecular Ecology 2021
