Objective
Bacteria live in environments where resources for growth are scarce and shared with other bacteria. The ability to inhibit the growth of other bacteria is thus favourable and most bacteria use multiple systems for such antagonistic interactions, including delivery of protein toxins to other bacteria (e.g. bacteriocins, type 6 secretion and contact-dependent growth inhibition systems). In addition to their role in competition, all these toxin delivery systems frequently deliver toxins to cells of the same genotype, i.e. cells immune to the toxic activity, but a function for self-delivery of toxins has never been identified. Recent evidence from our lab suggests that self-delivery of toxins generates population heterogeneity in terms of growth at high cell densities, i.e. upon cell-cell contacts. But if this is a common feature of all toxin delivery systems is not known. Here we will investigate if toxin delivery to cells immune to the toxin creates population heterogeneity in terms of growth, mutation rates and gene expression, and if this is important for bacterial evolution and multicellularity. As homologs for many of the toxins can also be found in eukaryotes, including multicellular organisms, we will investigate if the functions of these systems are also conserved across kingdoms.
We will particular characterize the role of bacterial toxin delivery systems for multicellular behaviour and adaptation to new growth environments. This research have important consequences for understanding cell-to-cell contacts and the organization of multicellular tissues in general; from how to control biofilm formation to the understanding of uncontrolled cell growth in higher eukaryotes.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- natural sciences biological sciences microbiology bacteriology
- natural sciences biological sciences biochemistry biomolecules proteins
- natural sciences biological sciences genetics mutation
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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H2020-EU.1.1. - EXCELLENT SCIENCE - European Research Council (ERC)
MAIN PROGRAMME
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
ERC-STG - Starting Grant
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) ERC-2018-STG
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
751 05 Uppsala
Sweden
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.