LEICI 25638
INSTITUTO DE INVESTIGACIONES EN ELECTRONICA, CONTROL Y PROCESAMIENTO DE SEÑALES
Unidad Ejecutora - UE
artículos
Título:
In silico optimization of lipid production in Rhodosporidium toruloides by gene knockout strategies
Autor/es:
CLAUDIO E VOGET; SEBASTIAN NUÑEZ; TERESITA CASTAÑEDA; HERNÁN DE BATTISTA
Revista:
IFAC-PapersOnLine
Editorial:
Elsevier B.V.
Referencias:
Año: 2019 vol. 52 p. 94 - 99
ISSN:
2405-8963
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.
