Ethanol production improvement driven by genome-scale metabolic modeling and sensitivity analysis in Scheffersomyces stipitis
Author
dc.contributor.author
Acevedo, Alejandro
Author
dc.contributor.author
Conejeros, Raúl
Author
dc.contributor.author
Aroca, Germán
Admission date
dc.date.accessioned
2018-05-22T15:05:48Z
Available date
dc.date.available
2018-05-22T15:05:48Z
Publication date
dc.date.issued
2017
Cita de ítem
dc.identifier.citation
Plos One 12 (6): e0180074
es_ES
Identifier
dc.identifier.other
10.1371/journal.pone.0180074
Identifier
dc.identifier.uri
https://repositorio.uchile.cl/handle/2250/147999
Abstract
dc.description.abstract
The yeast Scheffersomyces stipitis naturally produces ethanol from xylose, however reaching high ethanol yields is strongly dependent on aeration conditions. It has been reported that changes in the availability of NAD(H/(+)) cofactors can improve fermentation in some microorganisms. In this work genome-scale metabolic modeling and phenotypic phase plane analysis were used to characterize metabolic response on a range of uptake rates. Sensitivity analysis was used to assess the effect of ARC on ethanol production indicating that modifying ARC by inhibiting the respiratory chain ethanol production can be improved. It was shown experimentally in batch culture using Rotenone as an inhibitor of the mitochondria) NADH dehydrogenase complex I (CINADH), increasing ethanol yield by 18%. Furthermore, trajectories for uptakes rates, specific productivity and specific growth rate were determined by modeling the batch culture, to calculate ARC associated to the addition of CI NADH inhibitor. Results showed that the increment in ethanol production via respiratory inhibition is due to excess in ARC, which generates an increase in ethanol production. Thus ethanol production improvement could be predicted by a change in ARC.