Project acronym AGENSI
Project A Genetic View into Past Sea Ice Variability in the Arctic
Researcher (PI) Stijn DE SCHEPPER
Host Institution (HI) NORCE NORWEGIAN RESEARCH CENTRE AS
Call Details Consolidator Grant (CoG), PE10, ERC-2018-COG
Summary Arctic sea ice decline is the exponent of the rapidly transforming Arctic climate. The ensuing local and global implications can be understood by studying past climate transitions, yet few methods are available to examine past Arctic sea ice cover, severely restricting our understanding of sea ice in the climate system. The decline in Arctic sea ice cover is a ‘canary in the coalmine’ for the state of our climate, and if greenhouse gas emissions remain unchecked, summer sea ice loss may pass a critical threshold that could drastically transform the Arctic. Because historical observations are limited, it is crucial to have reliable proxies for assessing natural sea ice variability, its stability and sensitivity to climate forcing on different time scales. Current proxies address aspects of sea ice variability, but are limited due to a selective fossil record, preservation effects, regional applicability, or being semi-quantitative. With such restraints on our knowledge about natural variations and drivers, major uncertainties about the future remain.
I propose to develop and apply a novel sea ice proxy that exploits genetic information stored in marine sediments, sedimentary ancient DNA (sedaDNA). This innovation uses the genetic signature of phytoplankton communities from surface waters and sea ice as it gets stored in sediments. This wealth of information has not been explored before for reconstructing sea ice conditions. Preliminary results from my cross-disciplinary team indicate that our unconventional approach can provide a detailed, qualitative account of past sea ice ecosystems and quantitative estimates of sea ice parameters. I will address fundamental questions about past Arctic sea ice variability on different timescales, information essential to provide a framework upon which to assess the ecological and socio-economic consequences of a changing Arctic. This new proxy is not limited to sea ice research and can transform the field of paleoceanography.
Summary
Arctic sea ice decline is the exponent of the rapidly transforming Arctic climate. The ensuing local and global implications can be understood by studying past climate transitions, yet few methods are available to examine past Arctic sea ice cover, severely restricting our understanding of sea ice in the climate system. The decline in Arctic sea ice cover is a ‘canary in the coalmine’ for the state of our climate, and if greenhouse gas emissions remain unchecked, summer sea ice loss may pass a critical threshold that could drastically transform the Arctic. Because historical observations are limited, it is crucial to have reliable proxies for assessing natural sea ice variability, its stability and sensitivity to climate forcing on different time scales. Current proxies address aspects of sea ice variability, but are limited due to a selective fossil record, preservation effects, regional applicability, or being semi-quantitative. With such restraints on our knowledge about natural variations and drivers, major uncertainties about the future remain.
I propose to develop and apply a novel sea ice proxy that exploits genetic information stored in marine sediments, sedimentary ancient DNA (sedaDNA). This innovation uses the genetic signature of phytoplankton communities from surface waters and sea ice as it gets stored in sediments. This wealth of information has not been explored before for reconstructing sea ice conditions. Preliminary results from my cross-disciplinary team indicate that our unconventional approach can provide a detailed, qualitative account of past sea ice ecosystems and quantitative estimates of sea ice parameters. I will address fundamental questions about past Arctic sea ice variability on different timescales, information essential to provide a framework upon which to assess the ecological and socio-economic consequences of a changing Arctic. This new proxy is not limited to sea ice research and can transform the field of paleoceanography.
Max ERC Funding
2 615 858 €
Duration
Start date: 2019-08-01, End date: 2024-07-31
Project acronym DEEPTIME
Project Probing the history of matter in deep time
Researcher (PI) Martin BIZZARRO
Host Institution (HI) KOBENHAVNS UNIVERSITET
Call Details Advanced Grant (AdG), PE10, ERC-2018-ADG
Summary The solar system represents the archetype for the formation of rocky planets and habitable worlds. A full understanding of its formation and earliest evolution is thus one of the most fundamental goals in natural sciences. The only tangible record of the formative stages of the solar system comes from ancient meteorites and their components some of which date back to the to the birth of our Sun. The main objective of this proposal is to investigate the timescales and processes leading to the formation of the solar system, including the delivery of volatile elements to the accretion regions of rocky planets, by combining absolute ages, isotopic and trace element compositions as well as atomic and structural analysis of meteorites and their components. We identify nucleosynthetic fingerprinting as a tool allowing us to probe the history of solids parental to our solar system across cosmic times, namely from their parent stars in the Galaxy through their modification and incorporation into disk objects, including asteroidal bodies and planets. Our data will be obtained using state-of-the-art instruments including mass-spectrometers (MC-ICPMS, TIMS, SIMS), atom probe and transmission electron microscopy. These data will allow us to: (1) provide formation timescales for presolar grains and their parent stars as well as understand how these grains may control the solar system’s nucleosynthetic variability, (2) track the formation timescales of disk reservoirs and the mass fluxes between and within these regions (3) better our understanding of the timing and flux of volatile elements to the inner protoplanetary disk as well as the timescales and mechanism of primordial crust formation in rocky planets. The novel questions outlined in this proposal, including high-risk high-gain ventures, can only now be tackled using pioneering methods and approaches developed by the PI’s group and collaborators. Thus, we are in a unique position to make step-change discoveries.
Summary
The solar system represents the archetype for the formation of rocky planets and habitable worlds. A full understanding of its formation and earliest evolution is thus one of the most fundamental goals in natural sciences. The only tangible record of the formative stages of the solar system comes from ancient meteorites and their components some of which date back to the to the birth of our Sun. The main objective of this proposal is to investigate the timescales and processes leading to the formation of the solar system, including the delivery of volatile elements to the accretion regions of rocky planets, by combining absolute ages, isotopic and trace element compositions as well as atomic and structural analysis of meteorites and their components. We identify nucleosynthetic fingerprinting as a tool allowing us to probe the history of solids parental to our solar system across cosmic times, namely from their parent stars in the Galaxy through their modification and incorporation into disk objects, including asteroidal bodies and planets. Our data will be obtained using state-of-the-art instruments including mass-spectrometers (MC-ICPMS, TIMS, SIMS), atom probe and transmission electron microscopy. These data will allow us to: (1) provide formation timescales for presolar grains and their parent stars as well as understand how these grains may control the solar system’s nucleosynthetic variability, (2) track the formation timescales of disk reservoirs and the mass fluxes between and within these regions (3) better our understanding of the timing and flux of volatile elements to the inner protoplanetary disk as well as the timescales and mechanism of primordial crust formation in rocky planets. The novel questions outlined in this proposal, including high-risk high-gain ventures, can only now be tackled using pioneering methods and approaches developed by the PI’s group and collaborators. Thus, we are in a unique position to make step-change discoveries.
Max ERC Funding
2 495 496 €
Duration
Start date: 2020-01-01, End date: 2024-12-31
Project acronym iGLURs - A NEW VIEW
Project Exposing nature’s view of ligand recognition in ionotropic glutamate receptors
Researcher (PI) Timothy Peter Lynagh
Host Institution (HI) UNIVERSITETET I BERGEN
Call Details Starting Grant (StG), LS5, ERC-2018-STG
Summary Molecular biology strives for the prediction of function, based on the genetic code. Within neuroscience, this is reflected in the intense study of the molecular basis for ligand recognition by neurotransmitter receptors. Consequently, structural and functional studies have rendered a profoundly high-resolution view of ionotropic glutamate receptors (iGluRs), the archetypal excitatory receptor in the brain. But even this view is obsolete: we don’t know why some receptors recognize glutamate yet others recognize other ligands; and we have been unable to functionally test the underlying chemical interactions. In other words, our view differs substantially from nature’s own view of ligand recognition. I plan to lead a workgroup attacking this problem on three fronts. First, bioinformatic identification and electrophysiological characterization of a broad and representative sample of iGluRs from across the spectrum of life will unveil the diversity of ligand recognition in iGluRs. Second, phylogenetic analyses combined with functional experiments will reveal the molecular changes that nature employed in arriving at existing means of ligand recognition in iGluRs. Finally, chemical-scale mutagenesis will be employed to overcome previous technical limitations and dissect the precise chemical interactions that determine the specific recognition of certain ligands. With my experience in combining phylogenetics and functional experiments and in the use of chemical-scale mutagenesis, the objectives are within reach. Together, they form a unique approach that will expose nature’s own view of ligand recognition in iGluRs, revealing the molecular blueprint for protein function in the nervous system.
Summary
Molecular biology strives for the prediction of function, based on the genetic code. Within neuroscience, this is reflected in the intense study of the molecular basis for ligand recognition by neurotransmitter receptors. Consequently, structural and functional studies have rendered a profoundly high-resolution view of ionotropic glutamate receptors (iGluRs), the archetypal excitatory receptor in the brain. But even this view is obsolete: we don’t know why some receptors recognize glutamate yet others recognize other ligands; and we have been unable to functionally test the underlying chemical interactions. In other words, our view differs substantially from nature’s own view of ligand recognition. I plan to lead a workgroup attacking this problem on three fronts. First, bioinformatic identification and electrophysiological characterization of a broad and representative sample of iGluRs from across the spectrum of life will unveil the diversity of ligand recognition in iGluRs. Second, phylogenetic analyses combined with functional experiments will reveal the molecular changes that nature employed in arriving at existing means of ligand recognition in iGluRs. Finally, chemical-scale mutagenesis will be employed to overcome previous technical limitations and dissect the precise chemical interactions that determine the specific recognition of certain ligands. With my experience in combining phylogenetics and functional experiments and in the use of chemical-scale mutagenesis, the objectives are within reach. Together, they form a unique approach that will expose nature’s own view of ligand recognition in iGluRs, revealing the molecular blueprint for protein function in the nervous system.
Max ERC Funding
1 500 000 €
Duration
Start date: 2019-03-01, End date: 2024-02-29
