Cristin-prosjekt-ID: 503211
Sist endret: 18. januar 2019 14:45
Cristin-prosjekt-ID: 503211
Sist endret: 18. januar 2019 14:45
Prosjekt

GMO free systems optimization of wine yeast for wine production by massive (WineSys)

prosjektleder

Eivind Almaas
ved Institutt for bioteknologi og matvitenskap ved Norges teknisk-naturvitenskapelige universitet

prosjekteier / koordinerende forskningsansvarlig enhet

  • Norges teknisk-naturvitenskapelige universitet

Finansiering

  • TotalbudsjettNOK 5.209.000
  • Norges forskningsråd

    • Prosjektkode: 245160

Klassifisering

Vitenskapsdisipliner

Bioteknologi

Kategorier

Prosjektkategori

  • Grunnforskning

Kontaktinformasjon

Tidsramme

Avsluttet
Start: 5. januar 2015 Slutt: 31. januar 2019

Beskrivelse Beskrivelse

Tittel

GMO free systems optimization of wine yeast for wine production by massive (WineSys)

Vitenskapelig sammendrag

Industrial wine production at an estimated yearly value of 100 billion ? is hampered by poor evolutionary adaptation of yeast to grape musts, creating powerful incentives for optimizing wine yeast lineages of industrial relevance. Due to consumer aversion against genetically modified organisms (GMO), efforts to enhance wine yeasts for wine production through synthetic biology approaches have had little commercial impact. We propose to optimize wine yeast nitrogen and carbon use by a GMO free, massively parallelized directed laboratory evolution coupled with computational modeling and analysis. The scale maximizes chances that lineages with both enhanced carbon and nitrogen utilization and lacking negative effects on other industrial traits emerge. Multiple -omics data will be fed into constraint based models of yeast carbon and nitrogen metabolism to allow prediction of metabolite phenotypes critical to wine production. Iterative rounds of data acquisition and modeling will successively down-select the >10.000 evolved populations to crystalize out those that are of true wine industrial value. Our end product is a large set of wine yeasts that are (1) based on commercially established lineages but that (2) have superior carbon and nitrogen utilization properties with no negative effects on other traits of industrial interest. Analysis of top performers in a semi-industrial setting will validate the pipeline. The proposed platform will serve as a proof of concept for a new paradigm to optimize properties of industrial microorganisms in a fast, cheap and GMO free manner.

prosjektdeltakere

prosjektleder

Eivind Almaas

  • Tilknyttet:
    Prosjektleder
    ved Institutt for bioteknologi og matvitenskap ved Norges teknisk-naturvitenskapelige universitet

Kiran R. Patil

  • Tilknyttet:
    Prosjektdeltaker
    ved European Molecular Biology Laboratory

Albert Mas

  • Tilknyttet:
    Prosjektdeltaker
    ved Universitat Rovira i Virgili

Jonas Warringer

  • Tilknyttet:
    Prosjektdeltaker
    ved Göteborgs universitet

Per Bruheim

  • Tilknyttet:
    Prosjektdeltaker
    ved Institutt for bioteknologi og matvitenskap ved Norges teknisk-naturvitenskapelige universitet
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