Abstract
All bioconversions in cells derive from metabolism.
Microbial metabolisms contain potential for
bioconversions from simple source molecules to unlimited
number of biochemicals and for degradation of even
detrimental compounds. Metabolic fluxes are rates of
consumption and production of compounds in metabolic
reactions. Fluxes emerge as an ultimate phenotype of an
organism from an integrated regulatory function of the
underlying networks of complex and dynamic biochemical
interactions. Since the fluxes are time-dependent, they
have to be inferred from other, measurable, quantities by
modelling and computational analysis. 13C-labelling is
crucial for quantitative analysis of fluxes through
intracellular alternative pathways. Local flux ratio
analysis utilises uniform 13C-labelling experiments,
where the carbon source contains a fraction of uniformly
13C-labelled molecules. Carbon-carbon bonds are cleaved
and formed in metabolic reactions depending on the in
vivo fluxes. 13C-labelling patterns of metabolites or
macromolecule components can be detected by mass
spectrometry (MS) or nuclear magnetic resonance (NMR)
spectroscopy. Local flux ratio analysis utilises directly
the 13C-labelling data and metabolic network models to
solve ratios of converging fluxes.
In this thesis the local flux ratio analysis has been
extended and applied to analysis of phenotypes of
biotechnologically important yeasts Saccharomyces
cerevisiae and Pichia pastoris, and a fungus Trichoderma
reesei. Oxygen dependence of in vivo net flux
distribution of S. cerevisiae was quantified by using
local flux ratios as additional constraints to the
stoichiometric model of the central carbon metabolism.
The distribution of fluxes in the pyruvate branching
point turned out to be most responsive to different
oxygen availabilities. The distribution of fluxes was
observed to vary not only between the fully respiratory,
respiro-fermentative and fermentative metabolic states
but also between different respiro-fermentative states.
The local flux ratio analysis was extended to the case of
two-carbon source of glycerol and methanol co-utilisation
by P. pastoris. The fraction of methanol in the carbon
source did not have as profound effect on the
distribution of fluxes as the growth rate. The effect of
carbon catabolite repression (CCR) on fluxes of T. reesei
was studied by reconstructing amino acid biosynthetic
pathways and by performing local flux ratio analysis. T.
reesei was observed to primarily utilise respiratory
metabolism also in conditions of CCR. T. reesei
metabolism was further studied and
L-threo-3-deoxy-hexulosonate was identified as
L-galactonate dehydratase reaction product by using NMR
spectroscopy. L-galactonate dehydratase reaction is part
of the fungal pathway for D-galacturonic acid catabolism.
Original language | English |
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Qualification | Doctor Degree |
Awarding Institution |
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Supervisors/Advisors |
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Award date | 3 Dec 2009 |
Place of Publication | Espoo |
Publisher | |
Print ISBNs | 978-951-38-7371-4 |
Electronic ISBNs | 978-951-38-7372-1 |
Publication status | Published - 2009 |
MoE publication type | G5 Doctoral dissertation (article) |
Keywords
- metabolic modelling
- metabolic flux
- metabolic flux analysis (MFA)
- 13C-labelling
- 13C-MFA
- nuclear magnetic resonance (NMR) spectroscopy