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 BrainNanoFlow
Project Nanoscale dynamics in the extracellular space of the brain in vivo
Researcher (PI) Juan Alberto VARELA
Host Institution (HI) THE UNIVERSITY COURT OF THE UNIVERSITY OF ST ANDREWS
Call Details Starting Grant (StG), LS5, ERC-2018-STG
Summary Aggregates of proteins such as amyloid-beta and alpha-synuclein circulate the extracellular space of the brain (ECS) and are thought to be key players in the development of neurodegenerative diseases. The clearance of these aggregates (among other toxic metabolites) is a fundamental physiological feature of the brain which is poorly understood due to the lack of techniques to study the nanoscale organisation of the ECS. Exciting advances in this field have recently shown that clearance is enhanced during sleep due to a major volume change in the ECS, facilitating the flow of the interstitial fluid. However, this process has only been characterised at a low spatial resolution while the physiological changes occur at the nanoscale. The recently proposed “glymphatic” pathway still remains controversial, as there are no techniques capable of distinguishing between diffusion and bulk flow in the ECS of living animals. Understanding these processes at a higher spatial resolution requires the development of single-molecule imaging techniques that can study the brain in living animals. Taking advantage of the strategies I have recently developed to target single-molecules in the brain in vivo with nanoparticles, we will do “nanoscopy” in living animals. Our proposal will test the glymphatic pathway at the spatial scale in which events happen, and explore how sleep and wake cycles alter the ECS and the diffusion of receptors in neuronal plasma membrane. Overall, BrainNanoFlow aims to understand how nanoscale changes in the ECS facilitate clearance of protein aggregates. We will also provide new insights to the pathological consequences of impaired clearance, focusing on the interactions between these aggregates and their putative receptors. Being able to perform single-molecule studies in vivo in the brain will be a major breakthrough in neurobiology, making possible the study of physiological and pathological processes that cannot be studied in simpler brain preparations.
Summary
Aggregates of proteins such as amyloid-beta and alpha-synuclein circulate the extracellular space of the brain (ECS) and are thought to be key players in the development of neurodegenerative diseases. The clearance of these aggregates (among other toxic metabolites) is a fundamental physiological feature of the brain which is poorly understood due to the lack of techniques to study the nanoscale organisation of the ECS. Exciting advances in this field have recently shown that clearance is enhanced during sleep due to a major volume change in the ECS, facilitating the flow of the interstitial fluid. However, this process has only been characterised at a low spatial resolution while the physiological changes occur at the nanoscale. The recently proposed “glymphatic” pathway still remains controversial, as there are no techniques capable of distinguishing between diffusion and bulk flow in the ECS of living animals. Understanding these processes at a higher spatial resolution requires the development of single-molecule imaging techniques that can study the brain in living animals. Taking advantage of the strategies I have recently developed to target single-molecules in the brain in vivo with nanoparticles, we will do “nanoscopy” in living animals. Our proposal will test the glymphatic pathway at the spatial scale in which events happen, and explore how sleep and wake cycles alter the ECS and the diffusion of receptors in neuronal plasma membrane. Overall, BrainNanoFlow aims to understand how nanoscale changes in the ECS facilitate clearance of protein aggregates. We will also provide new insights to the pathological consequences of impaired clearance, focusing on the interactions between these aggregates and their putative receptors. Being able to perform single-molecule studies in vivo in the brain will be a major breakthrough in neurobiology, making possible the study of physiological and pathological processes that cannot be studied in simpler brain preparations.
Max ERC Funding
1 552 948 €
Duration
Start date: 2018-12-01, End date: 2023-11-30
Project acronym BRuSH
Project Oral bacteria as determinants for respiratory health
Researcher (PI) Randi BERTELSEN
Host Institution (HI) UNIVERSITETET I BERGEN
Call Details Starting Grant (StG), LS7, ERC-2018-STG
Summary The oral cavity is the gateway to the lower respiratory tract, and oral bacteria are likely to play a role in lung health. This may be the case for pathogens as well as commensal bacteria and the balance between species. The oral bacterial community of patients with periodontitis is dominated by gram-negative bacteria and a higher lipopolysaccharide (LPS) activity than in healthy microbiota. Furthermore, bacteria with especially potent pro-inflammatory LPS have been shown to be more common in the lungs of asthmatic than in healthy individuals. The working hypothesis of BRuSH is that microbiome communities dominated by LPS-producing bacteria which induce a particularly strong pro-inflammatory immune response in the host, will have a negative effect on respiratory health. I will test this hypothesis in two longitudinally designed population-based lung health studies. I aim to identify whether specific bacterial composition and types of LPS producing bacteria in oral and dust samples predict lung function and respiratory health over time; and if the different types of LPS-producing bacteria affect LPS in saliva saliva and dust. BRuSH will apply functional genome annotation that can assign biological significance to raw bacterial DNA sequences. With this bioinformatics tool I will cluster microbiome data into various LPS-producers: bacteria with LPS with strong inflammatory effects and others with weak- or antagonistic effects. The epidemiological studies will be supported by mice-models of asthma and cell assays of human bronchial epithelial cells, by exposing mice and bronchial cells to chemically synthesized Lipid A (the component that drive the LPS-induced immune responses) of various potency. The goal of BRuSH is to prove a causal relationship between oral microbiome and lung health, and gain knowledge that will enable us to make oral health a feasible target for intervention programs aimed at optimizing lung health and preventing respiratory disease.
Summary
The oral cavity is the gateway to the lower respiratory tract, and oral bacteria are likely to play a role in lung health. This may be the case for pathogens as well as commensal bacteria and the balance between species. The oral bacterial community of patients with periodontitis is dominated by gram-negative bacteria and a higher lipopolysaccharide (LPS) activity than in healthy microbiota. Furthermore, bacteria with especially potent pro-inflammatory LPS have been shown to be more common in the lungs of asthmatic than in healthy individuals. The working hypothesis of BRuSH is that microbiome communities dominated by LPS-producing bacteria which induce a particularly strong pro-inflammatory immune response in the host, will have a negative effect on respiratory health. I will test this hypothesis in two longitudinally designed population-based lung health studies. I aim to identify whether specific bacterial composition and types of LPS producing bacteria in oral and dust samples predict lung function and respiratory health over time; and if the different types of LPS-producing bacteria affect LPS in saliva saliva and dust. BRuSH will apply functional genome annotation that can assign biological significance to raw bacterial DNA sequences. With this bioinformatics tool I will cluster microbiome data into various LPS-producers: bacteria with LPS with strong inflammatory effects and others with weak- or antagonistic effects. The epidemiological studies will be supported by mice-models of asthma and cell assays of human bronchial epithelial cells, by exposing mice and bronchial cells to chemically synthesized Lipid A (the component that drive the LPS-induced immune responses) of various potency. The goal of BRuSH is to prove a causal relationship between oral microbiome and lung health, and gain knowledge that will enable us to make oral health a feasible target for intervention programs aimed at optimizing lung health and preventing respiratory disease.
Max ERC Funding
1 499 938 €
Duration
Start date: 2019-01-01, End date: 2023-12-31
Project acronym CANCEREVO
Project Deciphering and predicting the evolution of cancer cell populations
Researcher (PI) Marco Helmut GERLINGER
Host Institution (HI) THE INSTITUTE OF CANCER RESEARCH: ROYAL CANCER HOSPITAL
Call Details Consolidator Grant (CoG), LS7, ERC-2018-COG
Summary The fundamental evolutionary nature of cancer is well recognized but an understanding of the dynamic evolutionary changes occurring throughout a tumour’s lifetime and their clinical implications is in its infancy. Current approaches to reveal cancer evolution by sequencing of multiple biopsies remain of limited use in the clinic due to sample access problems in multi-metastatic disease. Circulating tumour DNA (ctDNA) is thought to comprehensively sample subclones across metastatic sites. However, available technologies either have high sensitivity but are restricted to the analysis of small gene panels or they allow sequencing of large target regions such as exomes but with too limited sensitivity to detect rare subclones. We developed a novel error corrected sequencing technology that will be applied to perform deep exome sequencing on longitudinal ctDNA samples from highly heterogeneous metastatic gastro-oesophageal carcinomas. This will track the evolution of the entire cancer population over the lifetime of these tumours, from metastatic disease over drug therapy to end-stage disease and enable ground breaking insights into cancer population evolution rules and mechanisms. Specifically, we will: 1. Define the genomic landscape and drivers of metastatic and end stage disease. 2. Understand the rules of cancer evolutionary dynamics of entire cancer cell populations. 3. Predict cancer evolution and define the limits of predictability. 4. Rapidly identify drug resistance mechanisms to chemo- and immunotherapy based on signals of Darwinian selection such as parallel and convergent evolution. Our sequencing technology and analysis framework will also transform the way cancer evolution metrics can be accessed and interpreted in the clinic which will have major impacts, ranging from better biomarkers to predict cancer evolution to the identification of drug targets that drive disease progression and therapy resistance.
Summary
The fundamental evolutionary nature of cancer is well recognized but an understanding of the dynamic evolutionary changes occurring throughout a tumour’s lifetime and their clinical implications is in its infancy. Current approaches to reveal cancer evolution by sequencing of multiple biopsies remain of limited use in the clinic due to sample access problems in multi-metastatic disease. Circulating tumour DNA (ctDNA) is thought to comprehensively sample subclones across metastatic sites. However, available technologies either have high sensitivity but are restricted to the analysis of small gene panels or they allow sequencing of large target regions such as exomes but with too limited sensitivity to detect rare subclones. We developed a novel error corrected sequencing technology that will be applied to perform deep exome sequencing on longitudinal ctDNA samples from highly heterogeneous metastatic gastro-oesophageal carcinomas. This will track the evolution of the entire cancer population over the lifetime of these tumours, from metastatic disease over drug therapy to end-stage disease and enable ground breaking insights into cancer population evolution rules and mechanisms. Specifically, we will: 1. Define the genomic landscape and drivers of metastatic and end stage disease. 2. Understand the rules of cancer evolutionary dynamics of entire cancer cell populations. 3. Predict cancer evolution and define the limits of predictability. 4. Rapidly identify drug resistance mechanisms to chemo- and immunotherapy based on signals of Darwinian selection such as parallel and convergent evolution. Our sequencing technology and analysis framework will also transform the way cancer evolution metrics can be accessed and interpreted in the clinic which will have major impacts, ranging from better biomarkers to predict cancer evolution to the identification of drug targets that drive disease progression and therapy resistance.
Max ERC Funding
2 000 000 €
Duration
Start date: 2019-03-01, End date: 2024-02-29
Project acronym CELL-in-CELL
Project Understanding host cellular systems that drive an endosymbiotic interaction
Researcher (PI) Thomas RICHARDS
Host Institution (HI) THE UNIVERSITY OF EXETER
Call Details Consolidator Grant (CoG), LS8, ERC-2018-COG
Summary Endosymbiosis is a key phenomenon that has played a critical role in shaping biological diversity, driving gene transfer and generating cellular complexity. During the process of endosymbiosis, one cell is integrated within another to become a critical component of the recipient, changing its characteristics and allowing it to chart a distinct evolutionary trajectory. Endosymbiosis was fundamentally important to the origin and evolution of eukaryotic cellular complexity, because an endosymbiotic event roots the diversification of all known eukaryotes and endosymbiosis has continually driven the diversification of huge sections of the eukaryotic tree of life. Little is known about how nascent endosymbioses are established or how they go on to form novel cellular compartments known as endosymbiotic organelles. Paramecium bursaria is a single celled protist that harbours multiple green algae within to form a phototrophic endosymbiosis. This relationship is nascent as the partners can be separated, grown separately, and the endosymbiosis reinitiated. This project will identify, for the first time, the gene functions that enable one cell to incubate another within to form a stable endosymbiotic interaction. To identify and explore which host genes control endosymbiosis in P. bursaria we have developed RNAi silencing technology. In the proposed project we will conduct genome sequencing, followed by a large-scale RNAi knockdown screening experiment, to identify host genes that when silenced perturb the endosymbiont population. Having identified candidate genes, we will investigate the localisation and function of the host encoded proteins. This project will significantly change our current understanding of the evolutionary phenomenon of endosymbiosis by identifying the cellular adaptations that drive these interactions, advancing our understanding of how these important moments in evolution occur and how core cellular systems can diversify in function.
Summary
Endosymbiosis is a key phenomenon that has played a critical role in shaping biological diversity, driving gene transfer and generating cellular complexity. During the process of endosymbiosis, one cell is integrated within another to become a critical component of the recipient, changing its characteristics and allowing it to chart a distinct evolutionary trajectory. Endosymbiosis was fundamentally important to the origin and evolution of eukaryotic cellular complexity, because an endosymbiotic event roots the diversification of all known eukaryotes and endosymbiosis has continually driven the diversification of huge sections of the eukaryotic tree of life. Little is known about how nascent endosymbioses are established or how they go on to form novel cellular compartments known as endosymbiotic organelles. Paramecium bursaria is a single celled protist that harbours multiple green algae within to form a phototrophic endosymbiosis. This relationship is nascent as the partners can be separated, grown separately, and the endosymbiosis reinitiated. This project will identify, for the first time, the gene functions that enable one cell to incubate another within to form a stable endosymbiotic interaction. To identify and explore which host genes control endosymbiosis in P. bursaria we have developed RNAi silencing technology. In the proposed project we will conduct genome sequencing, followed by a large-scale RNAi knockdown screening experiment, to identify host genes that when silenced perturb the endosymbiont population. Having identified candidate genes, we will investigate the localisation and function of the host encoded proteins. This project will significantly change our current understanding of the evolutionary phenomenon of endosymbiosis by identifying the cellular adaptations that drive these interactions, advancing our understanding of how these important moments in evolution occur and how core cellular systems can diversify in function.
Max ERC Funding
2 602 483 €
Duration
Start date: 2019-06-01, End date: 2024-05-31
Project acronym COEVOPRO
Project Drivers and consequences of coevolution in protective symbiosis
Researcher (PI) Kayla KING
Host Institution (HI) THE CHANCELLOR, MASTERS AND SCHOLARS OF THE UNIVERSITY OF OXFORD
Call Details Starting Grant (StG), LS8, ERC-2018-STG
Summary All organisms in nature are targets for parasite attack. Over a century ago, it was first observed that symbiotic species living in hosts can provide a strong barrier against infection, beyond the host’s own defence responses. We now know that ‘protective’ microbial symbiont species are key components of plant, animal, and human microbiota, shaping host health in the face of parasite infection. I have shown that microbes can evolve within days to protect, providing the possibility that microbe-mediated defences can take-over from hosts in fighting with parasites over evolutionary time. This new discovery of an evolvable microbe-mediated defence challenges our fundamental understanding of the host-parasite relationship. Here, I will use a novel nematode-microbe interaction, an experimental evolution approach, and assays of phenotypic and genomic changes (the latter using state-of-the-art sequencing and CRISPR-Cas9 technologies) to generate new insights into the drivers and consequences of coevolving protective symbioses. Specifically, the objectives are to test: (i) the ability of microbe-mediated protection to evolve more rapidly than host-encoded resistance, (ii) the impacts of evolvable protective microbes on host-parasite coevolution, and the effect of community complexity, in the form of (iii) parasite and (iv) within-host microbial heterogeneity, in shaping host-protective microbe coevolution from scratch. Together, these objectives will generate a new, synthetic understanding of how protective symbioses evolve and influence host resistance and parasite infectivity, with far-reaching implications for tackling coevolution in communities.
Summary
All organisms in nature are targets for parasite attack. Over a century ago, it was first observed that symbiotic species living in hosts can provide a strong barrier against infection, beyond the host’s own defence responses. We now know that ‘protective’ microbial symbiont species are key components of plant, animal, and human microbiota, shaping host health in the face of parasite infection. I have shown that microbes can evolve within days to protect, providing the possibility that microbe-mediated defences can take-over from hosts in fighting with parasites over evolutionary time. This new discovery of an evolvable microbe-mediated defence challenges our fundamental understanding of the host-parasite relationship. Here, I will use a novel nematode-microbe interaction, an experimental evolution approach, and assays of phenotypic and genomic changes (the latter using state-of-the-art sequencing and CRISPR-Cas9 technologies) to generate new insights into the drivers and consequences of coevolving protective symbioses. Specifically, the objectives are to test: (i) the ability of microbe-mediated protection to evolve more rapidly than host-encoded resistance, (ii) the impacts of evolvable protective microbes on host-parasite coevolution, and the effect of community complexity, in the form of (iii) parasite and (iv) within-host microbial heterogeneity, in shaping host-protective microbe coevolution from scratch. Together, these objectives will generate a new, synthetic understanding of how protective symbioses evolve and influence host resistance and parasite infectivity, with far-reaching implications for tackling coevolution in communities.
Max ERC Funding
1 499 275 €
Duration
Start date: 2019-02-01, End date: 2024-01-31
Project acronym CRYOREP
Project Chromosome Replication Visualised by Cryo-EM
Researcher (PI) Alessandro COSTA
Host Institution (HI) THE FRANCIS CRICK INSTITUTE LIMITED
Call Details Consolidator Grant (CoG), LS1, ERC-2018-COG
Summary In eukaryotic cells, DNA replication is tightly regulated to ensure that the genome is duplicated only once per cell cycle. Errors in the control mechanisms that regulate chromosome ploidy cause genomic instability, which is linked to the development of cellular abnormalities, genetic disease and the onset of cancer. Recent reconstitution experiments performed with purified proteins revealed that initiation of eukaryotic genome duplication requires three distinct steps. First, DNA replication start sites are identified and targeted for the loading of an inactive MCM helicase motor, which encircles the double helix. Second, MCM activators are recruited, causing duplex-DNA untwisting. Third, upon interaction with a firing factor, the MCM ring opens to eject one DNA strand, leading to unwinding of the replication fork and duplication by dedicated replicative polymerases. These three events are not understood at a molecular level. Structural investigations so far aimed at imaging artificially isolated replication steps and used simplified templates, such as linear duplex DNA to study helicase loading or pre-formed forks to understand unwinding. However, the natural substrate of the eukaryotic replication machinery is not DNA but rather chromatin, formed of nucleosome arrays that compact the genome. Chromatin plays important regulatory roles in all steps of DNA replication, by dictating origin start-site selection and stimulating replication fork progression. Only by studying chromatin replication, we argue, will we understand the molecular basis of genome propagation. To this end, we have developed new protocols to perform visual biochemistry experiments under the cryo-electron microscope, to image chromatin duplication at high resolution, frozen as it is being catalysed. Using these strategies we want to generate a molecular movie of the entire replication reaction. Our achievements will change the way we think about genome stability in eukaryotic cells.
Summary
In eukaryotic cells, DNA replication is tightly regulated to ensure that the genome is duplicated only once per cell cycle. Errors in the control mechanisms that regulate chromosome ploidy cause genomic instability, which is linked to the development of cellular abnormalities, genetic disease and the onset of cancer. Recent reconstitution experiments performed with purified proteins revealed that initiation of eukaryotic genome duplication requires three distinct steps. First, DNA replication start sites are identified and targeted for the loading of an inactive MCM helicase motor, which encircles the double helix. Second, MCM activators are recruited, causing duplex-DNA untwisting. Third, upon interaction with a firing factor, the MCM ring opens to eject one DNA strand, leading to unwinding of the replication fork and duplication by dedicated replicative polymerases. These three events are not understood at a molecular level. Structural investigations so far aimed at imaging artificially isolated replication steps and used simplified templates, such as linear duplex DNA to study helicase loading or pre-formed forks to understand unwinding. However, the natural substrate of the eukaryotic replication machinery is not DNA but rather chromatin, formed of nucleosome arrays that compact the genome. Chromatin plays important regulatory roles in all steps of DNA replication, by dictating origin start-site selection and stimulating replication fork progression. Only by studying chromatin replication, we argue, will we understand the molecular basis of genome propagation. To this end, we have developed new protocols to perform visual biochemistry experiments under the cryo-electron microscope, to image chromatin duplication at high resolution, frozen as it is being catalysed. Using these strategies we want to generate a molecular movie of the entire replication reaction. Our achievements will change the way we think about genome stability in eukaryotic cells.
Max ERC Funding
2 000 000 €
Duration
Start date: 2019-03-01, End date: 2024-02-29
Project acronym DISEASE
Project Disease Risk And Immune Strategies In Social Insects
Researcher (PI) Nathalie STROEYMEYT
Host Institution (HI) UNIVERSITY OF BRISTOL
Call Details Starting Grant (StG), LS8, ERC-2018-STG
Summary Group-living has been predicted to have opposing effects on disease risk and immune strategies. First, since repeated contacts between individuals facilitate pathogen transmission, sociality may favour high investment in personal immunity. Alternatively, because social animals can limit disease spread through collective sanitary actions (e.g., mutual grooming) or organisational features (e.g., division of the group’s social network into distinct subsets), sociality may instead favour low investment in personal immunity. The overall goal of this project is to experimentally test these conflicting predictions in ants using advanced data collection and analytical tools. I will first quantify the effect of social organisation on disease transmission using a combination of automated behavioural tracking, social network analysis, and empirical tracking of transmission markers (fluorescent beads). Experimental network manipulations and controlled disease seeding by a robotic ant will allow key predictions from network epidemiology to be tested, with broad implications for disease management strategies. I will then study the effect of colony size on social network structure and disease transmission, and how this in turn affects investment in personal immunity. This will shed light on far-reaching hypotheses about the effect of group size on social organisation ('size-complexity’ hypothesis) and immune investment (‘density-dependent prophylaxis’). Finally, I will explore whether prolonged pathogen pressure induces colonies to reinforce the transmission-inhibiting aspects of their social organisation (e.g., colony fragmentation) or to invest more in personal immunity. This project will represent the first empirical investigation of the role of social organisation in disease risk management, and allow its importance to be compared with other immune strategies. This will constitute a significant advance in our understanding of the complex feedback between sociality and health.
Summary
Group-living has been predicted to have opposing effects on disease risk and immune strategies. First, since repeated contacts between individuals facilitate pathogen transmission, sociality may favour high investment in personal immunity. Alternatively, because social animals can limit disease spread through collective sanitary actions (e.g., mutual grooming) or organisational features (e.g., division of the group’s social network into distinct subsets), sociality may instead favour low investment in personal immunity. The overall goal of this project is to experimentally test these conflicting predictions in ants using advanced data collection and analytical tools. I will first quantify the effect of social organisation on disease transmission using a combination of automated behavioural tracking, social network analysis, and empirical tracking of transmission markers (fluorescent beads). Experimental network manipulations and controlled disease seeding by a robotic ant will allow key predictions from network epidemiology to be tested, with broad implications for disease management strategies. I will then study the effect of colony size on social network structure and disease transmission, and how this in turn affects investment in personal immunity. This will shed light on far-reaching hypotheses about the effect of group size on social organisation ('size-complexity’ hypothesis) and immune investment (‘density-dependent prophylaxis’). Finally, I will explore whether prolonged pathogen pressure induces colonies to reinforce the transmission-inhibiting aspects of their social organisation (e.g., colony fragmentation) or to invest more in personal immunity. This project will represent the first empirical investigation of the role of social organisation in disease risk management, and allow its importance to be compared with other immune strategies. This will constitute a significant advance in our understanding of the complex feedback between sociality and health.
Max ERC Funding
1 499 995 €
Duration
Start date: 2019-04-01, End date: 2024-03-31
Project acronym Division
Project Division of Labour and the Evolution of Complexity
Researcher (PI) Stuart WEST
Host Institution (HI) THE CHANCELLOR, MASTERS AND SCHOLARS OF THE UNIVERSITY OF OXFORD
Call Details Advanced Grant (AdG), LS8, ERC-2018-ADG
Summary Division of labour is fundamental to the evolution of life on earth, allowing genes to work together to form genomes, cells to build organisms, pathogens to escape immune attack, and eusocial insect societies to achieve ecological dominance. Consequently, if we want to understand how life on earth evolved, we need to understand why division of labour does or, just as importantly, does not evolve. There are two major outstanding problems for our understanding of division of labour: First, how can we explain why division of labour has evolved with some traits, in some species, but not others? Given the potential benefits of dividing labour, why does it not arise more frequently in cooperative species? Second, in cases where division of labour has evolved, how can we explain the form that it takes? Why do factors such as the degree of specialisation, or mechanism used to produce different phenotypes, vary across species? I will combine my social evolution expertise with novel synthetic and genomic approaches to address these problems. I will explain the distribution and form of division of labour in the natural world, with an interdisciplinary research programme, divided into four work packages: (1) I will provide the first experimental test of the fundamental assumption that division of labour provides an efficiency benefit, by synthetically manipulating bacteria. (2) I will test how selection has acted for and against the evolution of division of labour in natural populations of bacteria, using novel genomic analysis techniques. (3) I will determine why division of labour evolved in some species, but not others, with an across species study on insects, and experimental evolution of bacteria. (4) I will establish a new field of research on why different species use different mechanisms to divide labour: genetic differences, environmental cues, or random assignment of roles. I will develop theory to explain this variation, and test this theory experimentally.
Summary
Division of labour is fundamental to the evolution of life on earth, allowing genes to work together to form genomes, cells to build organisms, pathogens to escape immune attack, and eusocial insect societies to achieve ecological dominance. Consequently, if we want to understand how life on earth evolved, we need to understand why division of labour does or, just as importantly, does not evolve. There are two major outstanding problems for our understanding of division of labour: First, how can we explain why division of labour has evolved with some traits, in some species, but not others? Given the potential benefits of dividing labour, why does it not arise more frequently in cooperative species? Second, in cases where division of labour has evolved, how can we explain the form that it takes? Why do factors such as the degree of specialisation, or mechanism used to produce different phenotypes, vary across species? I will combine my social evolution expertise with novel synthetic and genomic approaches to address these problems. I will explain the distribution and form of division of labour in the natural world, with an interdisciplinary research programme, divided into four work packages: (1) I will provide the first experimental test of the fundamental assumption that division of labour provides an efficiency benefit, by synthetically manipulating bacteria. (2) I will test how selection has acted for and against the evolution of division of labour in natural populations of bacteria, using novel genomic analysis techniques. (3) I will determine why division of labour evolved in some species, but not others, with an across species study on insects, and experimental evolution of bacteria. (4) I will establish a new field of research on why different species use different mechanisms to divide labour: genetic differences, environmental cues, or random assignment of roles. I will develop theory to explain this variation, and test this theory experimentally.
Max ERC Funding
2 491 766 €
Duration
Start date: 2020-01-01, End date: 2024-12-31
Project acronym DNA-DOCK
Project Precision Docking of Very Large DNA Cargos in Mammalian Genomes
Researcher (PI) Imre Berger
Host Institution (HI) UNIVERSITY OF BRISTOL
Call Details Advanced Grant (AdG), LS9, ERC-2018-ADG
Summary Gene editing has developed at breath-taking speed. In particular CRISPR/Cas9 provides a tool-set thousands of researchers worldwide now utilize with unprecedented ease to edit genes, catalysing a broad range of biomedical and industrial applications. Gene synthesis technologies producing thousands of base pairs of synthetic DNA have become affordable. Current gene editing technology is highly effective for local, small genomic DNA edits and insertions. To unlock the full potential of this revolution, however, our capacities to disrupt or rewrite small local elements of code must be complemented by equal capacities to efficiently insert very large synthetic DNA cargos with a wide range of functions into genomic sites. Large designer cargos would carry multicomponent DNA circuitry including programmable and fine-tuneable functionalities, representing the vital interface between gene editing which is the state-of-the-art at present, and genome engineering, which is the future. This challenge remained largely unaddressed to date.
We aspire to resolve this bottleneck by creating ground-breaking, generally applicable, easy-to-use technology to enable docking of large DNA cargos with base pair precision and unparalleled efficiency into mammalian genomes. To achieve our ambitious goals, we will apply a whole array of sophisticated tools. We will unlock a small non-human virus to rational design, creating safe, flexible and easy-to-produce, large capacity DNA delivery nanodevices with unmatched transduction capability. We will exploit a range of techniques including Darwinian in vitro selection/evolution to accomplish unprecedented precision DNA integration efficiency into genomic sites. We will use parallelized DNA assembly methods to generate multifunctional circuits, to accelerate T cell engineering, resolving unmet needs. Once we accomplish our tasks, our technology has the potential to be exceptionally rewarding to the scientific, industrial and medical communities.
Summary
Gene editing has developed at breath-taking speed. In particular CRISPR/Cas9 provides a tool-set thousands of researchers worldwide now utilize with unprecedented ease to edit genes, catalysing a broad range of biomedical and industrial applications. Gene synthesis technologies producing thousands of base pairs of synthetic DNA have become affordable. Current gene editing technology is highly effective for local, small genomic DNA edits and insertions. To unlock the full potential of this revolution, however, our capacities to disrupt or rewrite small local elements of code must be complemented by equal capacities to efficiently insert very large synthetic DNA cargos with a wide range of functions into genomic sites. Large designer cargos would carry multicomponent DNA circuitry including programmable and fine-tuneable functionalities, representing the vital interface between gene editing which is the state-of-the-art at present, and genome engineering, which is the future. This challenge remained largely unaddressed to date.
We aspire to resolve this bottleneck by creating ground-breaking, generally applicable, easy-to-use technology to enable docking of large DNA cargos with base pair precision and unparalleled efficiency into mammalian genomes. To achieve our ambitious goals, we will apply a whole array of sophisticated tools. We will unlock a small non-human virus to rational design, creating safe, flexible and easy-to-produce, large capacity DNA delivery nanodevices with unmatched transduction capability. We will exploit a range of techniques including Darwinian in vitro selection/evolution to accomplish unprecedented precision DNA integration efficiency into genomic sites. We will use parallelized DNA assembly methods to generate multifunctional circuits, to accelerate T cell engineering, resolving unmet needs. Once we accomplish our tasks, our technology has the potential to be exceptionally rewarding to the scientific, industrial and medical communities.
Max ERC Funding
2 498 578 €
Duration
Start date: 2019-09-01, End date: 2024-08-31
Project acronym ENDOMICS
Project Raman Endoscopic Proteo-lipidomics of Bladder Cancer
Researcher (PI) Mads SYLVEST BERGHOLT
Host Institution (HI) KING'S COLLEGE LONDON
Call Details Starting Grant (StG), LS7, ERC-2018-STG
Summary The goal of ENDOMICS is to drive forward a new paradigm of Raman endoscopic technology that enables proteomic and lipidomic analysis for diagnosis of bladder cancers in vivo. Raman endoscopy is a label-free optical technique that can provide a point-wise vibrational molecular fingerprint of tissue “optical biopsy” for cancer diagnosis in vivo. State-of-the-art Raman endoscopy, however, does not offer specific compositional analysis or insights into molecular biology of tissue. This is because the vibrational Raman bands are overlapping and cannot be deciphered into the myriad of biomolecules in complex tissue.
We will introduce a ground-breaking new methodology to enable Raman proteomic and lipidomic analysis in vivo. To this end, heterospectral co-registered Raman and mass spectrometry imaging will be used to develop a multivariate regression model “Rosetta Stone” for translating vibrational structural information (Raman spectroscopy) into compositional information. To meet the unmet clinical needs in urology we will tailor the first fibre-optic Raman endoscopic technology that can measure depth-dependent molecular profiles to simultaneously enable detection, grading and staging of bladder cancers. We will finally conduct a clinical trial by applying the technique to measure a comprehensive molecular database of bladder pathologies in vivo. The latter will allow for the identification of proteomic and lipidomic biomarkers to develop novel algorithms for real-time diagnosis of bladder cancers.
The synergy between scientific and technological advances in ENDOMICS will break ground for shedding new light on the molecular biology of bladder cancer in vivo including new insights into clinical diversity and identification of biomarkers for diagnostics, prognostics and novel therapeutic targets.
Summary
The goal of ENDOMICS is to drive forward a new paradigm of Raman endoscopic technology that enables proteomic and lipidomic analysis for diagnosis of bladder cancers in vivo. Raman endoscopy is a label-free optical technique that can provide a point-wise vibrational molecular fingerprint of tissue “optical biopsy” for cancer diagnosis in vivo. State-of-the-art Raman endoscopy, however, does not offer specific compositional analysis or insights into molecular biology of tissue. This is because the vibrational Raman bands are overlapping and cannot be deciphered into the myriad of biomolecules in complex tissue.
We will introduce a ground-breaking new methodology to enable Raman proteomic and lipidomic analysis in vivo. To this end, heterospectral co-registered Raman and mass spectrometry imaging will be used to develop a multivariate regression model “Rosetta Stone” for translating vibrational structural information (Raman spectroscopy) into compositional information. To meet the unmet clinical needs in urology we will tailor the first fibre-optic Raman endoscopic technology that can measure depth-dependent molecular profiles to simultaneously enable detection, grading and staging of bladder cancers. We will finally conduct a clinical trial by applying the technique to measure a comprehensive molecular database of bladder pathologies in vivo. The latter will allow for the identification of proteomic and lipidomic biomarkers to develop novel algorithms for real-time diagnosis of bladder cancers.
The synergy between scientific and technological advances in ENDOMICS will break ground for shedding new light on the molecular biology of bladder cancer in vivo including new insights into clinical diversity and identification of biomarkers for diagnostics, prognostics and novel therapeutic targets.
Max ERC Funding
1 490 950 €
Duration
Start date: 2019-03-01, End date: 2024-02-29
Project acronym EPISWITCH
Project Mechanistic basis of nucleation and spreading underlying a Polycomb-mediated epigenetic switch
Researcher (PI) Caroline DEAN
Host Institution (HI) JOHN INNES CENTRE
Call Details Advanced Grant (AdG), LS1, ERC-2018-ADG
Summary Polycomb-mediated epigenetic regulation of gene expression is central to development and environmental plasticity in most eukaryotes. Polycomb Repressive Complex 2 (PRC2) is targeted to genomic sites, known as nucleation regions or Polycomb Response elements, and switches those targets to an epigenetically silenced state. But what constitutes the switching mechanism is unknown. Core epigenetic switching mechanisms have proven difficult to elucidate due to the complex molecular feedbacks involved. We will exploit a well-characterized gene system, Arabidopsis FLC, to address a central question – what are the core events that constitute a Polycomb switch?
Our hypothesis is that the epigenetic switch involves stochastic conformationally-induced oligomerization, generating an ordered protein assembly of PRC2 accessory proteins and PRC2, that is then robustly distributed onto both daughter strands during DNA replication through self-templating feedback mechanisms. We will determine the local chromatin features that promote the epigenetic switch independently at each allele (i.e., in cis). We will also dissect the involvement of DNA replication in the transition from metastable to long-term epigenetic silencing, associated with the Polycomb complex spreading across the body of the locus.
This interdisciplinary proposal combines molecular genetics/biology, computational biology, with structural biology, achieved through close working relationships with Prof. Martin Howard (John Innes Centre), Dr Mariann Bienz (MRC Laboratory of Molecular Biology, Cambridge) and Dr Julian Sale, (MRC Laboratory of Molecular Biology, Cambridge). This blue-sky programme aims to provide important new concepts in Polycomb-mediated epigenetic switching mechanisms, important for the whole epigenetics field.
Summary
Polycomb-mediated epigenetic regulation of gene expression is central to development and environmental plasticity in most eukaryotes. Polycomb Repressive Complex 2 (PRC2) is targeted to genomic sites, known as nucleation regions or Polycomb Response elements, and switches those targets to an epigenetically silenced state. But what constitutes the switching mechanism is unknown. Core epigenetic switching mechanisms have proven difficult to elucidate due to the complex molecular feedbacks involved. We will exploit a well-characterized gene system, Arabidopsis FLC, to address a central question – what are the core events that constitute a Polycomb switch?
Our hypothesis is that the epigenetic switch involves stochastic conformationally-induced oligomerization, generating an ordered protein assembly of PRC2 accessory proteins and PRC2, that is then robustly distributed onto both daughter strands during DNA replication through self-templating feedback mechanisms. We will determine the local chromatin features that promote the epigenetic switch independently at each allele (i.e., in cis). We will also dissect the involvement of DNA replication in the transition from metastable to long-term epigenetic silencing, associated with the Polycomb complex spreading across the body of the locus.
This interdisciplinary proposal combines molecular genetics/biology, computational biology, with structural biology, achieved through close working relationships with Prof. Martin Howard (John Innes Centre), Dr Mariann Bienz (MRC Laboratory of Molecular Biology, Cambridge) and Dr Julian Sale, (MRC Laboratory of Molecular Biology, Cambridge). This blue-sky programme aims to provide important new concepts in Polycomb-mediated epigenetic switching mechanisms, important for the whole epigenetics field.
Max ERC Funding
2 101 325 €
Duration
Start date: 2019-09-01, End date: 2024-08-31
Project acronym EVOCELFATE
Project Evolution of cell fate specification modes in spiral cleavage
Researcher (PI) Jose Maria MARTIN DURAN
Host Institution (HI) QUEEN MARY UNIVERSITY OF LONDON
Call Details Starting Grant (StG), LS3, ERC-2018-STG
Summary Spiral cleavage is a highly stereotypical early embryonic program, and the ancestral, defining feature to Spiralia, a major phylogenetic clade including almost half of the animal phyla. Remarkably, spiral-cleaving embryos specify homologous cell fates (e.g. the progenitor cell of posterodorsal structures) conditionally –via cell interactions– or autonomously –via segregation of maternal inputs. This variation occurs naturally, even between closely related species, and has been related to the precocious formation of adult characters (adultation) in larvae of autonomous spiral-cleaving species. How spiralian lineages repeatedly shifted between these two cell fate specification modes is largely unexplored, because the mechanisms controlling spiral cleavage are still poorly characterized.
This project tests the hypothesis that maternal chromatin and transcriptional regulators differentially incorporated in oocytes with autonomous spiral cleavage explain the evolution of this mode of cell fate specification. Through a comparative and phylogenetic-guided approach, we will combine bioinformatics, live imaging, and molecular and experimental techniques to: (i) Comprehensively identify differentially supplied maternal factors among spiral cleaving oocytes with distinct cell fate specification modes using comparative RNA-seq and proteomics; (ii) Uncover the developmental mechanisms driving conditional spiral cleavage, which is the ancestral embryonic mode; and (iii) Investigate how maternal chromatin and transcriptional regulators define early cell fates, and whether these factors account for the repeated evolution of autonomous specification modes.
Our results will fill a large gap of knowledge in our understanding of spiral cleavage and its evolution. In a broader context, this project will deliver fundamental insights into two core questions in evolutionary developmental biology: how early embryonic programs evolve, and how they contribute to phenotypic change.
Summary
Spiral cleavage is a highly stereotypical early embryonic program, and the ancestral, defining feature to Spiralia, a major phylogenetic clade including almost half of the animal phyla. Remarkably, spiral-cleaving embryos specify homologous cell fates (e.g. the progenitor cell of posterodorsal structures) conditionally –via cell interactions– or autonomously –via segregation of maternal inputs. This variation occurs naturally, even between closely related species, and has been related to the precocious formation of adult characters (adultation) in larvae of autonomous spiral-cleaving species. How spiralian lineages repeatedly shifted between these two cell fate specification modes is largely unexplored, because the mechanisms controlling spiral cleavage are still poorly characterized.
This project tests the hypothesis that maternal chromatin and transcriptional regulators differentially incorporated in oocytes with autonomous spiral cleavage explain the evolution of this mode of cell fate specification. Through a comparative and phylogenetic-guided approach, we will combine bioinformatics, live imaging, and molecular and experimental techniques to: (i) Comprehensively identify differentially supplied maternal factors among spiral cleaving oocytes with distinct cell fate specification modes using comparative RNA-seq and proteomics; (ii) Uncover the developmental mechanisms driving conditional spiral cleavage, which is the ancestral embryonic mode; and (iii) Investigate how maternal chromatin and transcriptional regulators define early cell fates, and whether these factors account for the repeated evolution of autonomous specification modes.
Our results will fill a large gap of knowledge in our understanding of spiral cleavage and its evolution. In a broader context, this project will deliver fundamental insights into two core questions in evolutionary developmental biology: how early embryonic programs evolve, and how they contribute to phenotypic change.
Max ERC Funding
1 500 000 €
Duration
Start date: 2019-02-01, End date: 2024-01-31
Project acronym EvoConBiO
Project Uncovering and engineering the principles governing evolution and cellular control of bioenergetic organelles
Researcher (PI) Iain JOHNSTON
Host Institution (HI) UNIVERSITETET I BERGEN
Call Details Starting Grant (StG), LS8, ERC-2018-STG
Summary "Complex life on Earth is powered by bioenergetic organelles -- mitochondria and chloroplasts. Originally independent organisms, these organelles have retained their own genomes (mtDNA and cpDNA), which have been dramatically reduced through evolutionary history. Organelle genomes form dynamic populations within present-day eukaryotic cells, akin to individuals co-evolving in a ""cellular ecosystem"". The structure of these populations is central to eukaryotic life. However, the processes shaping the content of these genomes through history, and maintaining their integrity in modern organisms, are poorly understood. This challenges our understanding of eukaryotic evolution and our ability to design rational strategies to engineer bioenergetic performance.
EvoConBiO will address these questions using a unique and unprecedented interdisciplinary approach, combining experimental characterisation and manipulation of organelle genomes with mathematical modelling and cutting-edge statistics. This highly novel combination of experiment and theory will drive the field in a new direction, for the first time uncovering the universal principles underlying the evolution and cellular control of mitochondria and chloroplasts. Our groundbreaking recent work on mtDNA suggests a common tension underlying organelle evolution, between genetic robustness (transferring genes to the nucleus) and the control and maintenance of organelles (retaining genes in organelles). EvoConBiO will reveal the pathways underlying organelle evolution, why organisms adapt to different points on these pathways, and how they resolve this underlying tension. In addition to these ""blue sky"" scientific insights into a process of central evolutionary importance, we will harness our findings to ""learn from evolution"" in high-risk high-reward development of new experimental strategies to engineer chloroplast performance in plants and algae of importance in EU agriculture, biofuel production, and bioengineering."
Summary
"Complex life on Earth is powered by bioenergetic organelles -- mitochondria and chloroplasts. Originally independent organisms, these organelles have retained their own genomes (mtDNA and cpDNA), which have been dramatically reduced through evolutionary history. Organelle genomes form dynamic populations within present-day eukaryotic cells, akin to individuals co-evolving in a ""cellular ecosystem"". The structure of these populations is central to eukaryotic life. However, the processes shaping the content of these genomes through history, and maintaining their integrity in modern organisms, are poorly understood. This challenges our understanding of eukaryotic evolution and our ability to design rational strategies to engineer bioenergetic performance.
EvoConBiO will address these questions using a unique and unprecedented interdisciplinary approach, combining experimental characterisation and manipulation of organelle genomes with mathematical modelling and cutting-edge statistics. This highly novel combination of experiment and theory will drive the field in a new direction, for the first time uncovering the universal principles underlying the evolution and cellular control of mitochondria and chloroplasts. Our groundbreaking recent work on mtDNA suggests a common tension underlying organelle evolution, between genetic robustness (transferring genes to the nucleus) and the control and maintenance of organelles (retaining genes in organelles). EvoConBiO will reveal the pathways underlying organelle evolution, why organisms adapt to different points on these pathways, and how they resolve this underlying tension. In addition to these ""blue sky"" scientific insights into a process of central evolutionary importance, we will harness our findings to ""learn from evolution"" in high-risk high-reward development of new experimental strategies to engineer chloroplast performance in plants and algae of importance in EU agriculture, biofuel production, and bioengineering."
Max ERC Funding
1 417 862 €
Duration
Start date: 2019-07-01, End date: 2024-06-30
Project acronym EvolutioNeuroCircuit
Project Cellular and genetic bases of neural circuits evolution
Researcher (PI) Lucia PRIETO GODINO
Host Institution (HI) THE FRANCIS CRICK INSTITUTE LIMITED
Call Details Starting Grant (StG), LS5, ERC-2018-STG
Summary Sensory systems encode the world around us to produce context-dependent appropriate behaviours. However, we know little about the way new sensory evoked behaviours arise as neural circuits are re-shaped during evolution. Tackling this question requires a deep understanding of the circuits underlying specific behaviours and integration of this knowledge with tools from other fields, including evolutionary and developmental biology. Recent technological advancements on neural circuit interrogation and genome editing have put progress on this fundamental biological question within reach.
The olfactory system of the larval stage of the fly Drosophila melanogaster and related species is an ideal model for investigating these questions because (i) D. melanogaster has pioneered both the fields of population genetics and neurogenetics and (ii) its olfactory system is one of the best-characterised neural circuits. We will address the question of how olfactory circuits evolve by studying four species with divergent odour-guided behaviours through the following multidisciplinary aims:
1. Which olfactory pathways are targeted in the evolution of ecological specialisation? – Combining high-throughput behavioural assays, optogenetics and calcium imaging in the larva of all four species we will determine whether/which olfactory pathways have switched valences or sensitivity.
2. How have central neural circuits diverged? – We will address this question at unprecedented resolution through whole-brain calcium imaging and serial electron microscopy reconstruction.
3. What are the molecular and genetic bases of neural circuits rewiring during evolution? – Using transcriptomic profiling we will identify differentially expressed genes in conserved and divergent circuits across species, and functionally probe selected candidates to establish causality.
4. How do evolutionary forces shape olfactory circuits? – We will investigate this question using field studies and population genetics
Summary
Sensory systems encode the world around us to produce context-dependent appropriate behaviours. However, we know little about the way new sensory evoked behaviours arise as neural circuits are re-shaped during evolution. Tackling this question requires a deep understanding of the circuits underlying specific behaviours and integration of this knowledge with tools from other fields, including evolutionary and developmental biology. Recent technological advancements on neural circuit interrogation and genome editing have put progress on this fundamental biological question within reach.
The olfactory system of the larval stage of the fly Drosophila melanogaster and related species is an ideal model for investigating these questions because (i) D. melanogaster has pioneered both the fields of population genetics and neurogenetics and (ii) its olfactory system is one of the best-characterised neural circuits. We will address the question of how olfactory circuits evolve by studying four species with divergent odour-guided behaviours through the following multidisciplinary aims:
1. Which olfactory pathways are targeted in the evolution of ecological specialisation? – Combining high-throughput behavioural assays, optogenetics and calcium imaging in the larva of all four species we will determine whether/which olfactory pathways have switched valences or sensitivity.
2. How have central neural circuits diverged? – We will address this question at unprecedented resolution through whole-brain calcium imaging and serial electron microscopy reconstruction.
3. What are the molecular and genetic bases of neural circuits rewiring during evolution? – Using transcriptomic profiling we will identify differentially expressed genes in conserved and divergent circuits across species, and functionally probe selected candidates to establish causality.
4. How do evolutionary forces shape olfactory circuits? – We will investigate this question using field studies and population genetics
Max ERC Funding
1 312 500 €
Duration
Start date: 2019-03-01, End date: 2024-02-29
Project acronym FIRM
Project Form and Function of the Mitochondrial Retrograde Response
Researcher (PI) Michelangelo CAMPANELLA
Host Institution (HI) THE ROYAL VETERINARY COLLEGE
Call Details Consolidator Grant (CoG), LS4, ERC-2018-COG
Summary The molecular communication between mitochondria and nucleus is an integrated bi-directional crosstalk - anterograde (nucleus to mitochondria) and retrograde (mitochondria to nucleus) signalling pathways. The mitochondrial retrograde response (MRR) is driven by defective mitochondrial function, which increases cytosolic reactive oxygen species (ROS) and Ca2+. Metabolic reprogramming is a key feature in highly proliferative cells to meet the energy needs for rapid growth by generating substrates for cellular biogenesis. In these mitochondria retro-communicate with the nucleus to induce wide-ranging cytoprotective effects exploited to develop resistance against treatment and sustain uncontrolled growth. Recently, the mitochondrial management of cholesterol-derived intermediates for the synthesis of steroids has been demonstrated as a determinant in the oncogenic reprogramming of cellular environment.
We hypothesise that cholesterol-enriched domains facilitate the communication between remodelled mitochondria and nucleus to expedite MRR. This mechanism may be exploited during abnormal cell growth in which cholesterol metabolism and associated molecules are increased.
This application capitalizes on expertise in cell signalling and metabolism to interrogate core pathways and unveil molecular sensors and effectors that define form and function of the MRR by:
I. Elucidating the mechanism of metabolic regulation of MRR, describing the role exerted by cholesterol trafficking;
II. Unveiling microdomains for mito-nuclear communication established by remodelled, autophagy escaped, mitochondria;
III. Validating protocols to modulate and target MRR for diagnostic and therapeutic benefit;
The experimental plan will (i) define a molecular signalling axis that currently stands uncharacterized, (ii) provide mechanistic knowledge for preventive, and (iii) therapeutic applications to counteract deficiencies associated with stressed, dysregulated mitochondria.
Summary
The molecular communication between mitochondria and nucleus is an integrated bi-directional crosstalk - anterograde (nucleus to mitochondria) and retrograde (mitochondria to nucleus) signalling pathways. The mitochondrial retrograde response (MRR) is driven by defective mitochondrial function, which increases cytosolic reactive oxygen species (ROS) and Ca2+. Metabolic reprogramming is a key feature in highly proliferative cells to meet the energy needs for rapid growth by generating substrates for cellular biogenesis. In these mitochondria retro-communicate with the nucleus to induce wide-ranging cytoprotective effects exploited to develop resistance against treatment and sustain uncontrolled growth. Recently, the mitochondrial management of cholesterol-derived intermediates for the synthesis of steroids has been demonstrated as a determinant in the oncogenic reprogramming of cellular environment.
We hypothesise that cholesterol-enriched domains facilitate the communication between remodelled mitochondria and nucleus to expedite MRR. This mechanism may be exploited during abnormal cell growth in which cholesterol metabolism and associated molecules are increased.
This application capitalizes on expertise in cell signalling and metabolism to interrogate core pathways and unveil molecular sensors and effectors that define form and function of the MRR by:
I. Elucidating the mechanism of metabolic regulation of MRR, describing the role exerted by cholesterol trafficking;
II. Unveiling microdomains for mito-nuclear communication established by remodelled, autophagy escaped, mitochondria;
III. Validating protocols to modulate and target MRR for diagnostic and therapeutic benefit;
The experimental plan will (i) define a molecular signalling axis that currently stands uncharacterized, (ii) provide mechanistic knowledge for preventive, and (iii) therapeutic applications to counteract deficiencies associated with stressed, dysregulated mitochondria.
Max ERC Funding
1 450 060 €
Duration
Start date: 2019-04-01, End date: 2024-03-31
Project acronym HealthierWomen
Project A woman's reproductive experience: Long-term implications for chronic disease and death
Researcher (PI) Rolv SKJAERVEN
Host Institution (HI) UNIVERSITETET I BERGEN
Call Details Advanced Grant (AdG), LS7, ERC-2018-ADG
Summary Pregnancy complications such as preeclampsia and preterm birth are known to affect infant health, but their influence on mothers’ long-term health is not well understood. Most previous studies are seriously limited by their reliance on information from the first pregnancy. Often they lack the data to study women’s complete reproductive histories. Without a complete reproductive history, the relationship between pregnancy complications and women’s long-term health cannot be reliably studied. The Medical Birth Registry of Norway, covering all births from 1967-, includes information on more than 3 million births and 1.5 million sibships. Linking this to population based death and cancer registries provides a worldwide unique source of population-based data which can be analysed to identify heterogeneities in risk by lifetime parity and the cumulative experience of pregnancy complications. Having worked in this field of research for many years, I see many erroneous conclusions in studies based on insufficient data. For instance, both after preeclampsia and after a stillbirth, the high risk of heart disease observed in one-child mothers is strongly attenuated in women with subsequent pregnancies. I will study different patterns of pregnancy complications that occur alone or in combination across pregnancies, and analyse their associations with cause specific maternal mortality. Using this unique methodology, I will challenge the idea that placental dysfunction is the origin of preeclampsia and test the hypothesis that pregnancy complications may cause direct long-term effects on maternal health. The findings of this research have the potential to advance our understanding of how pregnancy complications affect the long-term maternal health and help to develop more effective chronic disease prevention strategies.
Summary
Pregnancy complications such as preeclampsia and preterm birth are known to affect infant health, but their influence on mothers’ long-term health is not well understood. Most previous studies are seriously limited by their reliance on information from the first pregnancy. Often they lack the data to study women’s complete reproductive histories. Without a complete reproductive history, the relationship between pregnancy complications and women’s long-term health cannot be reliably studied. The Medical Birth Registry of Norway, covering all births from 1967-, includes information on more than 3 million births and 1.5 million sibships. Linking this to population based death and cancer registries provides a worldwide unique source of population-based data which can be analysed to identify heterogeneities in risk by lifetime parity and the cumulative experience of pregnancy complications. Having worked in this field of research for many years, I see many erroneous conclusions in studies based on insufficient data. For instance, both after preeclampsia and after a stillbirth, the high risk of heart disease observed in one-child mothers is strongly attenuated in women with subsequent pregnancies. I will study different patterns of pregnancy complications that occur alone or in combination across pregnancies, and analyse their associations with cause specific maternal mortality. Using this unique methodology, I will challenge the idea that placental dysfunction is the origin of preeclampsia and test the hypothesis that pregnancy complications may cause direct long-term effects on maternal health. The findings of this research have the potential to advance our understanding of how pregnancy complications affect the long-term maternal health and help to develop more effective chronic disease prevention strategies.
Max ERC Funding
2 500 000 €
Duration
Start date: 2019-09-01, End date: 2024-08-31
Project acronym IceAGenT
Project Ice Age Genomic Tracking of Refugia and Postglacial Dispersal
Researcher (PI) Inger Greve ALSOS
Host Institution (HI) UNIVERSITETET I TROMSOE - NORGES ARKTISKE UNIVERSITET
Call Details Consolidator Grant (CoG), LS8, ERC-2018-COG
Summary Understanding rates of migration and resilience to climate change is important for explaining both the distribution of single species and anticipate how ecosystems may respond to climate change. There are two vigorously debated questions about the response of NW European biota to past climate changes: 1) glacial survival vs tabula rasa and 2) Reid´s paradox of rapid plant migration through seed dispersal vs. survival in cryptic refugia just south or east of the ice sheet. These are related as survival in any northern refugia would suggest local dispersal rather than the rapid dispersal rates that are needed from southern refugia. While we have learned a lot about dispersal routes from phylogeography and about glacial refugia from macrofossils, pollen and, more recently, ancient DNA (aDNA), we have never been able to trace plant migration routes back in time. Our lab is at a step-change in answering these questions as we now have a full genome reference library for the entire flora of Norway and adjacent regions (>2000 species), which will allow us to develop genomic markers identifying not only species, but genetic variation within species, in ancient sediment samples. In addition, we have >20 sediment cores already analysed for vascular plant aDNA using metabarcoding, and a further 20 are in the pipeline. Based on these and 12 new cores, we will select samples that contain key species representing different bioclimatic zones (boreal trees, dwarf shrubs, arctic herbs), and re-analyse them for within-species genetic variation. This will be complemented by analyses of contemporary phylogeography of the same species. This will allow us to identify refugia areas and trace migration routes back in time by different components of the ecosystems. The results of this study will open a new era in studies of species abilities to respond to climate changes (palaeo-phytogeography) and enable us to model the effects of current global warming more accurately than before.
Summary
Understanding rates of migration and resilience to climate change is important for explaining both the distribution of single species and anticipate how ecosystems may respond to climate change. There are two vigorously debated questions about the response of NW European biota to past climate changes: 1) glacial survival vs tabula rasa and 2) Reid´s paradox of rapid plant migration through seed dispersal vs. survival in cryptic refugia just south or east of the ice sheet. These are related as survival in any northern refugia would suggest local dispersal rather than the rapid dispersal rates that are needed from southern refugia. While we have learned a lot about dispersal routes from phylogeography and about glacial refugia from macrofossils, pollen and, more recently, ancient DNA (aDNA), we have never been able to trace plant migration routes back in time. Our lab is at a step-change in answering these questions as we now have a full genome reference library for the entire flora of Norway and adjacent regions (>2000 species), which will allow us to develop genomic markers identifying not only species, but genetic variation within species, in ancient sediment samples. In addition, we have >20 sediment cores already analysed for vascular plant aDNA using metabarcoding, and a further 20 are in the pipeline. Based on these and 12 new cores, we will select samples that contain key species representing different bioclimatic zones (boreal trees, dwarf shrubs, arctic herbs), and re-analyse them for within-species genetic variation. This will be complemented by analyses of contemporary phylogeography of the same species. This will allow us to identify refugia areas and trace migration routes back in time by different components of the ecosystems. The results of this study will open a new era in studies of species abilities to respond to climate changes (palaeo-phytogeography) and enable us to model the effects of current global warming more accurately than before.
Max ERC Funding
2 189 776 €
Duration
Start date: 2019-10-01, End date: 2024-09-30
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
Project acronym LeaRNN
Project Principles of Learning in a Recurrent Neural Network
Researcher (PI) Marta Zlatic
Host Institution (HI) THE CHANCELLOR MASTERS AND SCHOLARS OF THE UNIVERSITY OF CAMBRIDGE
Call Details Consolidator Grant (CoG), LS5, ERC-2018-COG
Summary Forming memories, generating predictions based on memories, and updating memories when predictions no longer match actual experience are fundamental brain functions. Dopaminergic neurons provide a so-called “teaching signal” that drives the formation and updates of associative memories across the animal kingdom. Many theoretical models propose how neural circuits could compute the teaching signals, but the actual implementation of this computation in real nervous systems is unknown.
This project will discover the basic principles by which neural circuits compute the teaching signals that drive memory formation and updates using a tractable insect model system, the Drosophila larva. We will generate, for the first time in any animal, the following essential datasets for a distributed, multilayered, recurrent learning circuit, the mushroom body-related circuitry in the larval brain. First, building on our preliminary work that provides the synaptic-resolution connectome of the circuit, including all feedforward and feedback pathways upstream of all dopaminergic neurons, we will generate a map of functional monosynaptic connections. Second, we will obtain cellular-resolution whole-nervous system activity maps in intact living animals, as they form, extinguish, or consolidate memories to discover the features represented in each layer of the circuit (e.g. predictions, actual reinforcement, and prediction errors), the learning algorithms, and the candidate circuit motifs that implement them. Finally, we will develop a model of the circuit constrained by these datasets and test the predictions about the necessity and sufficiency of uniquely identified circuit elements for implementing learning algorithms by selectively manipulating their activity.
Understanding the basic functional principles of an entire multilayered recurrent learning circuit in an animal has the potential to revolutionize, not only neuroscience and medicine, but also machine-learning and robotics.
Summary
Forming memories, generating predictions based on memories, and updating memories when predictions no longer match actual experience are fundamental brain functions. Dopaminergic neurons provide a so-called “teaching signal” that drives the formation and updates of associative memories across the animal kingdom. Many theoretical models propose how neural circuits could compute the teaching signals, but the actual implementation of this computation in real nervous systems is unknown.
This project will discover the basic principles by which neural circuits compute the teaching signals that drive memory formation and updates using a tractable insect model system, the Drosophila larva. We will generate, for the first time in any animal, the following essential datasets for a distributed, multilayered, recurrent learning circuit, the mushroom body-related circuitry in the larval brain. First, building on our preliminary work that provides the synaptic-resolution connectome of the circuit, including all feedforward and feedback pathways upstream of all dopaminergic neurons, we will generate a map of functional monosynaptic connections. Second, we will obtain cellular-resolution whole-nervous system activity maps in intact living animals, as they form, extinguish, or consolidate memories to discover the features represented in each layer of the circuit (e.g. predictions, actual reinforcement, and prediction errors), the learning algorithms, and the candidate circuit motifs that implement them. Finally, we will develop a model of the circuit constrained by these datasets and test the predictions about the necessity and sufficiency of uniquely identified circuit elements for implementing learning algorithms by selectively manipulating their activity.
Understanding the basic functional principles of an entire multilayered recurrent learning circuit in an animal has the potential to revolutionize, not only neuroscience and medicine, but also machine-learning and robotics.
Max ERC Funding
2 350 000 €
Duration
Start date: 2019-09-01, End date: 2024-08-31