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PredProkDef

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Cerrado

Predicting of Prokaryotic Defence Distributions

Bacteria are crucial for health, nutrient cycling and biotechnology but face a constant pressure from the viruses that infect them (phages). As such, bacteria have evolved a sophisticated suite of defence mechanisms that allow the... ver más

31/01/2023

UNEXE

272K€

Presupuesto del proyecto: 272K€

Líder del proyecto

THE UNIVERSITY OF EXETER No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Fecha límite participación Sin fecha límite de participación.

Ver 3 Participantes

Financiación concedida El organismo H2020 notifico la concesión del proyecto el día 2023-01-31

MSCA-IF-2018: Individual Fellowships

I+D

Cerrada hace 6 años

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Información adicional privada

No hay información privada compartida para este proyecto. Habla con el coordinador.

3 Participantes

UNEXE

272.08K€ | Lider

UNIVERSITY OF OTAGO

165.62K€ | Participante

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Duración del proyecto: 46 meses Fecha Inicio: 2019-03-20
Fecha Fin: 2023-01-31

Líder del proyecto

THE UNIVERSITY OF EXETER No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Presupuesto del proyecto 272K€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto Bacteria are crucial for health, nutrient cycling and biotechnology but face a constant pressure from the viruses that infect them (phages). As such, bacteria have evolved a sophisticated suite of defence mechanisms that allow them to evade phages. These defence mechanisms can be classified into two basic classes: selfish or altruistic. A selfish system protects individuals, whereas an altruistic system protects the population. Interestingly, the distribution of this defensive arsenal is uneven, with large variations in the types carried, even among closely related species. This proposal aims to understand the basis of this distribution by using a multi-disciplinary approach that combines the precision of a model laboratory system with cutting-edge metagenomics techniques. Specifically, I will use abortive infection as a model for altruistic defence and CRISPR as a model for selfish defence and test the role of spatial structure in determining the abundance of each type. High spatial structure is predicted to be a key determinant of altruistic defences as it results in proximate bacteria being closely related. I will then apply the findings from the first objectives to classify a novel, recently discovered, defence system. Together, these results will enable researchers to better understand microbial immunity, with key consequences for industry and healthcare. The outgoing phase will take place at the University of Otago, New Zealand, using molecular biology expertise in abortive infection and CRISPR systems. The return phase will take place at the University of Exeter, UK, benefitting from expertise in ecology and evolution. The proposed project will allow me to complement my strong background in genomics and ecology with molecular biology and novel bioinformatic approaches. By working in two world-class research laboratories I will further develop independence and a strong collaborative network for the future.

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