In silico optimization of lipid production in Rhodosporidium toruloides by gene knockout strategies

TítuloIn silico optimization of lipid production in Rhodosporidium toruloides by gene knockout strategies
Tipo de PublicaciónJournal Article
Año de Publicación2019
AutoresCastañeda MTeresita, Nuñez S, Voget C, De Battista H
JournalIFAC-PapersOnLine
Volumen52
Páginas94 - 99
ISSN2405-8963
Palabras claveGene knockout strategies, Metabolic engineering, Microbial lipids, Optknock
Resumen

Microbial lipids are being extensively studied as an alternative to vegetable oils in biodiesel production. For the biotechnological production of biolipids, efficient processes capable of obtaining significant biomass productivity with high lipid titer are required. In this work, we used the Optknock algorithm for the assessment of non-intuitive knockouts using a metabolic model for lipid production in R. toruloides. Four computationally designed mutants were obtained by the deletion of the genes involved in PGI1, GDH1, IDH and IDP1 reactions. In these strains, lipid metabolism is fully coupled to growth, with maximum productivities ranging from 26 to 62% of lipids. By analyzing the maximum yield together with the flux distribution obtained from different knockouts, it was concluded that the double knockout strategy was an interesting alternative for obtaining growth-linked lipid production with few genetic manipulations.

URLhttp://www.sciencedirect.com/science/article/pii/S2405896319301284
DOI10.1016/j.ifacol.2019.06.043
Líneas de investigación: 
Control de sistemas y procesos biológicos
Control of biological processes and systems
Control and monitoring of bioprocesses
Control y monitoreo de bioprocesos