The activity reaction core and plasticity of metabolic networks
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Transcript The activity reaction core and plasticity of metabolic networks
The activity reaction core and
plasticity of metabolic networks
Almaas E., Oltvai Z.N. & Barabasi A.-L.
01/04/2006
The idea
To examine the utilization and relative flux rates of
each metabolic reaction in a wide range of simulated
environmental conditions
30,000 randomly and uniformly chosen optimal growth
conditions (randomly assigning values for metabolic-uptake
reactions)
and all single-carbon-source minimal medium conditions
sufficient for growth
Using FBA on in silico models:
H. pylori
E. coli
S. cerevisiae
Observations
Flux plasticity
Changes in the fluxes of already active reactions
when the organism is shifted from one growth
condition to another
Structural plasticity
Changes in the active reaction set
Metabolic core
Definition
Metabolic cores in different organisms:
The set of reactions that are active under all conditions
H. pylori: 138 of 381 (36.2%)
E. coli: 90 of 758 (11.9%)
S. cerevisiae: 33 of 1172 (2.8%)
Property
The reactions in the metabolic core form a single connected
cluster.
The metabolic core of E. coli
Essentiality of reactions in metabolic
core
Two types of reactions in metabolic core
Reactions that are essential for growth under all conditions
H. pylori: no data in the paper
E. coli: 81 out of 90
S. cerevisiae: all 33
Experimental data: 74.7% of the enzymes that catalyze core metabolic
reactions are essential, compared with a 19.6% lethality fraction of the
noncore enzymes.
Experimental data: 84% of the core enzymes are essential, whereas
15.6% of noncore enzymes are essential.
Reactions that are required for optimal metabolic
performance
When assuming a 10% reduction in the growth rate, the size of the
metabolic core becomes 83 in E. coli.
Size of the metabolic cores
Metabolic cores in different organisms:
H. pylori: 36.2%
E. coli: 11.9%
S. cerevisiae: 2.8%
Explanation
Little flexibility for biomass production in H. pylori
Higher metabolic flexibility in E. coli and S. cerevisiae
61% of the H. pylori reactions are active on average.
On average, 35.3% and 19.7% of the reactions are required in E. coli and S.
cerevisiae, respectively.
Alternative pathways: 20 out of the 51 biomass constituents in E. coli are not
produced by the core.
The more reactions a metabolic network possesses, the stronger is the
network-induced redundancy, and the smaller is the core.
Conservation of the metabolic core
The average core enzyme in E. coli
has orthologs in 71.7% of the 32
reference bacteria. While the
noncore enzymes have an
evolutionary retention of only
47.7%.
This difference is not a simple
consequence of the high-lethality
fraction of the core enzymes.
Random selection of 90 enzymes
with a 74.7% lethality ratio has an
average evolutionary retetion of
only 63.4%
Maintaining the core’s integrity is a collective need of the organism.
Regulatory control on metabolic core
mRNA half-lives
Activating and repressive regulatory links
Average half-life for the core enzymes: 14.0 min
Average half-life for the noncore enzymes: 10.5 min
Extended core: a set of 234 reactions that are active in more than 90% of
the 30,000 simulated growth conditions
Core enzyme-encoding operons: 52.3% repressive; 35.7% activating; and
10% dual interactions
Noncore enzyme-encoding operons: 45% repressive; 45% activating; and
10% dual interactions
Synchronization
Flux correlation
mRNA expression correlation
All data are of E. coli.
Practical implications
The core enzymes may prove effective antibiotic
targets.
Currently used antibiotics:
Fosfomycin and cycloserine inhibit cell-wall
peptidoglycan.
Sulfonamides and trimethoprim inhibit
tetrahydrofolte biosynthesis.
Both pathways are present in H. pylori and E. coli.
Summary of our previous work
Production efficiency of amino acids
Energy requirement
Redox balance
Charge balance
Carrier molecules
Internal structure of the network
Coupling mechanisms in amino acid synthesis
Complementary needs in currency/carrier molecules
Irreversible flow of energy/redox potential
Further work
Extend the analysis to all biomass constituents
instead of only amino acids
Straightforward extension but attention should be
paid to constituent molecules with large number of
carbon atoms..
Coupling mechanisms
Quite complicated for yeast and E.coli
It might be okay if the problem is not completely
solved now.