Engineering of Biological Processes Lecture 6: Modeling metabolism - PowerPoint PPT Presentation

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Engineering of Biological Processes Lecture 6: Modeling metabolism

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Yp/s Yield of product per substrate consumed. Yp/x Yield of product per cell ... Vmax=389 mM/min. Dehydrogenase (IDH) Km=8 mM. Vmax=625 mM/min. Glyoxylate shunt ... – PowerPoint PPT presentation

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Title: Engineering of Biological Processes Lecture 6: Modeling metabolism


1
Engineering of Biological ProcessesLecture 6
Modeling metabolism
  • Mark Riley, Associate Professor
  • Department of Ag and Biosystems Engineering
  • The University of Arizona, Tucson, AZ
  • 2007

2
Objectives Lecture 6
  • Model metabolic reactions to shift carbon and
    resources down certain paths
  • Evaluate branch rigidity

3
Michaelis Menten kinetics
Low Km will be the path with the higher flux (all
other factors being equal). Low Km also means a
strong interaction between substrate and enzyme.
These two curves have the same vmax, but their Km
values differ by a factor of 2.
4
Example Enhancement of ethanol production
  • Want to decrease the cost
  • Cheaper substrates
  • Greater number of substrates
  • Not just glucose
  • Higher rates of production
  • Yp/s Yield of product per substrate consumed
  • Yp/x Yield of product per cell

5
Species used
  • Saccharomyces cerevisiae
  • Produces a moderate amount of ethanol
  • Narrow substrate specificity (glucose)
  • Zymomonas mobilis
  • Produces a large amount of ethanol
  • Narrow substrate specificity (glucose)
  • Escherichia coli
  • Broad substrate specificity
  • Low ethanol production
  • Much is known about its genetics

6
Goal
  • Combine the advantages of ZM EC

7
Ethanol production
8
This approach worked because of the large
differences in Kms
9
Some definitions
Total flux
Selectivity
10
Selectivity
So, to enhance r1, we want a small value of Km1
11
Model conversion of pyruvate
12
Model conversion of pyruvate
13
Model production of ethanol
14
Ethanol Km 0.4 mM
15
Ethanol Km 1 mM
16
Ethanol Km 10 mM
17
2-Keto-3-deoxy-6- phosphogluconate
Glucose
Glucose 6-Phosphate
Phosphogluconate
Fructose 6-Phosphate
Fructose 1,6-Bisphosphate
Glyceraldehyde 3-Phosphate
Glyceraldehyde 3-Phosphate Pyruvate
Glyceraldehyde 3-Phosphate
Phosphoenolpyruvate
Acetaldehyde
Pyruvate
Lactate
Acetate
Acetyl CoA
Ethanol
Citrate
Oxaloacetate
Isocitrate
Malate
a-Ketoglutarate
Fumarate
Succinate
18
Glucose
Glucose 6-Phosphate
Phosphogluconate
Fructose 6-Phosphate
Fructose 1,6-Bisphosphate
Glyceraldehyde 3-Phosphate
Phosphoenolpyruvate
Pyruvate
19
Simplified metabolism - upstream end of glycolysis
ADP
ADP
ATP
ATP
v1
v2
Glucose
Glucose 6-Phosphate
v3
Additional reactions
Fructose 6-Phosphate
ATP
v4
ADP
Fructose 1,6-Bisphosphate
v5
Pyruvate
20
How do you model this?
  • What information is needed?
  • equations for each v
  • initial concentrations of each metabolite

21
Mass balances
22
Mass balances
23
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24
Metabolite profiles
25
Rates of reaction
26
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27
Reaction branch nodes
Flux of carbon
J1
J1 J2 J3
J2
J3
Product yields are often a function of the split
ratio in branch points (i.e., 20 / 80 left /
right).
28
Types of reaction branch nodes (rigidity)
  • Flexible nodes
  • Flux partitioning can be easily changed
  • Weakly rigid nodes
  • Flux partitioning is dominated by one branch of
    the pathway
  • Deregulation of supporting pathway has little
    effect on flux
  • Deregulation of dominant pathway has large effect
    on flux
  • Strongly rigid nodes
  • Flux partitioning is tightly controlled
  • Highly sensitive to regulation

29
Types of reaction branch nodes
Regulation Negative feedback
30
Flexible nodes
  • The split ratio will depend on the cellular
    demands for the 2 products
  • Can have substantial changes in the flux
    partitioning

31
Rigid nodes
  • Partitioning is strongly regulated by end product
    activation and inhibition
  • Deregulation of such a node can be very difficult
    to perform

32
Regulation Negative feedback
Regulation Positive feedback
33
Branch point effect
Citrate
Glyoxylate shunt (cells grown on acetate)
For growth on acetate, Isocitrate 160 mM
Isocitrate
Isocitrate Dehydrogenase (IDH) Km8 mM Vmax126
mM/min
Lyase (IL) Km604 mM Vmax389 mM/min
Glyoxylate
a-Ketoglutarate
34
Flux is very sensitive to isocitrate first
order in IL, zero order in IDH
160 mM
When S 50 uM, r IL 110 uM/min r IDH 20
uM/min
When S 160 uM, r IL 120 uM/min r IDH 60
uM/min
35
Branch point effect
Citrate
Glyoxylate shunt (cells grown on glucose)
For growth on glucose, Isocitrate 1 mM
Isocitrate
Dehydrogenase (IDH) Km8 mM Vmax625 mM/min
Lyase (IL) Km604 mM Vmax389 mM/min
Vmax had been 126 mM/min
Glyoxylate
a-Ketoglutarate
36
Flux is not sensitive to isocitrate first
order (but very low) in IL, first order in IDH
1 mM
Note that S is much lower than before.
37
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38
Which path controls the branch ratio?
Citrate
Under growth by glucose, Isocitrate 1 mM
Glyoxylate shunt (cells grown on glucose)
Isocitrate
Dehydrogenase (IDH) Km8 mM Vmax625 mM/min
Lyase (IL) Km604 mM Vmax389 mM/min
Glyoxylate
a-Ketoglutarate
39
Which path controls the branch ratio?
  • The one that adapts to the available substrate
    controls the branch.
  • This depends on the values of vmax, Km, and S
    for each reaction.
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