Title: Demand Theory of Gene Regulation and Design of TwoComponent Systems
1Demand Theory of Gene Regulation and Design of
Two-Component Systems
- Michael A. Savageau
- The University of California, Davis
- May 2003
2The problems faced by pre- and post-genomic
genetics are ... much the same -- they all
involve bridging the chasm between genotype and
phenotype. -- Sydney
Brenner, Science 2872173 (2000)
3Function of Gene Circuitry
- Superficial answer
- Genotype determined by the information encoded in
the DNA sequence - Phenotype by the context-dependent expression of
the genome - Circuitry interprets context and orchestrates
expression - Deeper answer
- Hierarchy of mechanisms
- Diversity of design issues
- Accident and rule
4Research Program
- Development of mathematical tools and approaches
appropriate for biological systems - Nonlinear mathematical formalisms and analysis
- Computational algorithms
- Applications to generic classes of biological
systems at the molecular and cellular level - Metabolic pathways
- Gene circuits
- Immune networks
- Long-term goal of understanding biological design
principles - Re-design for therapeutic purposes
- Optimization for technological purposes
5The Organism Escherichia coli
- Robust
- Versatile
- Efficient
- Responsive
6The Environments In Here and Out There
7Outline
- Demand theory of Gene Regulation
- Methodology
- Duality, realizability and evolvability
- Multiple demands, logic and timing
- Two-Component Systems for Signal Transduction
- Design
- Function
- Structure
- Design and construction of gene circuits
- Switches
- Oscillators
8Approach
- Emphasize large classes of circuits with a
specific function - Inducible catabolic circuits in bacteria
- 100 members
- Many tests of any general prediction
- Goals
- Understand the basis for nearly universal designs
- Discover rules for distinguishing alternative
designs
9Requirements for the Elucidation of System Design
Principles
- Canonical nonlinear representation
- Constraints that reduce the space of meaningful
comparison - Methods for extracting implications implicit in
the system equations - Quantitative criteria for judging functional
effectiveness
10Systemic Manifestations of the Power-Law Formalism
M. Savageau, J.T.B. 25370 (1969)
11Mathematically Controlled (Ideal) Comparisons
- Two designs are represented in a canonical
nonlinear formalism - Differences are restricted to a single specific
process - One design is chosen as the reference
- Internal equivalence is maintained
- External equivalence is imposed
- The systems are characterized by rigorous
mathematical and computer analysis - Comparisons are made on the basis of quantitative
criteria for functional effectiveness
12Outline
- Demand theory of Gene Regulation
- Methodology
- Duality, realizability and evolvability
- Multiple demands, logic and timing
- Two-Component Systems for Signal Transduction
- Design
- Function
- Structure
13Dual Modes of Gene Control
14Mutations Rates
15Demand Theory of Gene Control
- A positive mode of control is predicted when
there is a high demand for expression of a gene - A negative mode of control is predicted when
there is a low demand for expression of a gene
M. Savageau, PNAS 712453 (1974)
16Molecular Mode of Gene Control
- Experimental evidence
- Single demand functions gt100
- Logical coupling of functions 20
- Differentiated cell-specific functions 6
M. Savageau, PNAS 745647 (1977)
17(No Transcript)
18Lac operon of E. coli
- Lac circuitry
- Life cycle and demand for expression
- Mutation
- Population dynamics
- Mathematical analysis
- Quantify rules of demand theory
- Predictions relating genotype and phenotype
19Lac Circuitry
20Life Cycle of Escherichia coli
21Mutations Rates
22Population Dynamics
23Graphical Solution
24Steady State
25Region of Realizability
26Rate and Extent of Selection
27Predictions
- Cycling without colonization ? 26 hours
- Colonization without cycling ? 66 years
- Rate of re-colonization ? 4 months
- Evolutionary response time ? 3 years
M. Savageau, Genetics 1491677 (1998)
28Outline
- Demand theory of Gene Regulation
- Methodology
- Duality, realizability and evolvability
- Multiple demands, logic and timing
- Two-Component Systems for Signal Transduction
- Design
- Function
- Structure
29Logic of Lac Control
30Six Possible Life Cycles
31Region of Realizability
32Rate Extent of Selection
33Six Possible Life Cycles
34Expression in Time and Space
35There is one important piece of information that
is almost totally missing the sequence
information that specifies when and where and for
how long a gene is turned on or off.
-- Sydney Brenner, Science 2872173 (2000)
36Outline
- Demand theory of Gene Regulation
- Methodology
- Duality, realizability and evolvability
- Multiple demands, logic and timing
- Two-Component Systems for Signal Transduction
- Design
- Function
- Structure
37Alternative Designs for Sensors of Two-Component
Systems
Bifunctional sensor
Monofunctional sensor
38Outline
- Demand theory of Gene Regulation
- Methodology
- Duality, realizability and evolvability
- Multiple demands, logic and timing
- Two-Component Systems for Signal Transduction
- Design
- Function
- Structure
39Equations
Bifunctional sensor
Monofunctional sensor
40Constraints for External Equivalence
41Functional Predictions
- Bifunctional sensors
- Attenuate secondary signals
- Suppress noisy cross-talk
- Monofunctional sensors
- Amplify secondary signals
- Integrate functional cross-talk
Alves Savageau, Mol. Microbiol. 4825 (2003)
42Alternative Designs for Sensors of Two-Component
Systems
Noise Suppression
Signal Integration
43Outline
- Demand theory of Gene Regulation
- Methodology
- Duality, realizability and evolvability
- Multiple demands, logic and timing
- Two-Component Systems for Signal Transduction
- Design
- Function
- Structure
44Alternative Designs for Sensors of Two-Component
Systems
Bifunctional sensor
Monofunctional sensor
45Predictions
- Sensor 3-D structures for templates
- EnvZ (Bifunctional)
- CheA (Monofunctional)
- Sensor DNA sequences for threading
- 2000 cases
- Many organisms
- Functional predictions
- Bifunctional
- Monofunctional
46What is Common to These Successful Explanations
of Design?
- A limited number of possible variations on a
theme - Simple equations whose structure was amenable to
qualitative analysis (and to exhaustive numerical
analysis when necessary)
47Summary
- Comparison Methodology
- Mathematically controlled comparisons
- Ideal control experiments
- Comparative optimization
- Examples of Design Principles
- Molecular mode of gene control
- Demand for expression
- Realizability and evolvability
- Logic and phasing
- Cross-talk between two-component modules
- Insulators
- Integrators
48(No Transcript)
49Outline
- Demand theory of Gene Regulation
- Methodology
- Duality, realizability and evolvability
- Multiple demands, logic and timing
- Two-Component Systems for Signal Transduction
- Design
- Function
- Structure
- Design and construction of gene circuits
- Switches
- Oscillators
50Genetic Construct and Kinetic Model for a Novel
Circuit in E. coli
51Design Space
52Toggle Switch Behavior
53Outline
- Demand theory of Gene Regulation
- Methodology
- Duality, realizability and evolvability
- Multiple demands, logic and timing
- Two-Component Systems for Signal Transduction
- Design
- Function
- Structure
- Design and construction of gene circuits
- Switches
- Oscillators
54Design Space
55Experimental Tests of Theory
M. Atkinson, et al., Cell in press (2003)
56Minimum Distance from Boundary of Oscillatory
Instability
57Parameter Sensitivity of Minimum Distance from
Boundary of Oscillatory Instability