The Metabolism of Respiring Carbon Sources by Dekkera bruxellensis and Its Relation with the Production of Acetate.
Gilberto Henrique TelesMariana Rodrigues XavierJackeline Maria Da SilvaRafael Barros De SouzaWill de Barros PitaMarcos Antonio DE MoraisPublished in: Applied biochemistry and biotechnology (2023)
Dekkera bruxellensis has been studied for several aspects of its metabolism over the past years, which has expanded our comprehension on its importance to industrial fermentation processes and uncovered its industrial relevance. Acetate is a metabolite often found in D. bruxellensis aerobic cultivations, whereas its production is linked to decreased ethanol yields. In a previous work, we aimed to understand how acetate metabolism affected the fermentation capacity of D. bruxellensis. In the present work, we evaluated the role of acetate metabolism in respiring cells using ammonium or nitrate as nitrogen sources. Our results showed that galactose is a strictly respiratory sugar and that a relevant part of its carbon is lost, while the remaining is metabolised through the Pdh bypass pathway before being assimilated into biomass. When this pathway was blocked, yeast growth was reduced while more carbon was assimilated to the biomass. In nitrate, more acetate was produced as expected, which increased carbon assimilation, although less galactose was uptaken from the medium. This scenario was not affected by the Pdh bypass inhibition. The confirmation that acetate production was crucial for carbon assimilation was brought by cultivations in pyruvate. All physiological data were connected to the expression patterns of PFK1, PDC1, ADH1, ALD3, ALD5 and ATP1 genes. Other respiring carbon sources could only be properly used by the cells when some external acetate was supplied. Therefore, the results reported herein helped in providing valuable contributions to the understanding of the oxidative metabolism in this potential industrial yeast.
Keyphrases
- drinking water
- wastewater treatment
- induced apoptosis
- heavy metals
- saccharomyces cerevisiae
- nitric oxide
- cell cycle arrest
- poor prognosis
- risk assessment
- genome wide
- signaling pathway
- machine learning
- big data
- transcription factor
- electronic health record
- cell proliferation
- deep learning
- artificial intelligence
- anaerobic digestion
- lactic acid
- solid state