Objective
                                As Nature's medicine makers, Streptomyces bacteria produce a plethora of natural products, which we harness for clinical, biotechnological and agricultural applications, including 70% of the antibiotics. Streptomycetes still have a vast reservoir of unexplored biosynthetic potential, but many biosynthetic gene clusters (BGCs) are not expressed in the laboratory. To bring the chemical dark matter to the light, we need to discover the keys to unlock the expression of cryptic BGCs. I aim to add an entirely new dimension to genome mining, namely via understanding and exploitation of the regulatory networks that control natural product biosynthesis in Actinobacteria. My team discovered the concept of antibiotic production on demand, showing that plant hormones activate antimicrobials. Predicting when instead of what BGCs produce will allow clustering of BGCs based on their response to ecological signals. This can serve as a beacon for prioritising BGCs, and aid in the discovery of new biosynthetic pathways. I will tackle three major challenges:
[1] The systems biology challenge is to elucidate the regulatory circuitry of streptomycetes and to reliably predict how BGCs are controlled
[2] The metabolic challenge is to unwire the networks that tie carbon metabolism to antibiotic production, to bridge the gap from the complex polysaccharides in nature to the defined carbon sources of the laboratory.
[3] The ecological challenge is to unravel the mechanisms and molecules via which plants invoke the power of Streptomyces' bioactive molecules to obtain protection against infections and pests, aimed at biological disease-suppression.
COMMUNITY is an open science project that will help to elucidate whether the yet unexplored BGCs will deliver a paradigm shift in drug discovery, for application in agriculture and human health. Deliverables are innovative systems biology tools and detailed transcription factor networks, elicitors for drug screening and disease-suppressive microbes.
                            
                                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 carbohydrates
- medical and health sciences basic medicine pharmacology and pharmacy pharmaceutical drugs antibiotics
- agricultural sciences agriculture, forestry, and fisheries agriculture
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                  HORIZON.1.1 - European Research Council (ERC)
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                  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.
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(opens in new window) ERC-2021-ADG
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2311 EZ Leiden
Netherlands
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