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The Boolean modeling of the lac operon in E. coli, a region of DNA containing a cluster of genes that are transcribed together. the role of lactose and β-galactosidase, the transporter protein lac permease, and the relationship between Boolean logic and polynomial algebra in modeling gene regulation. It also discusses the limitations and refinements of the model.
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Matthew Macauley Clemson University
Gene expression is a process that takes gene info and creates a functional gene product (e.g., a protein). Some genes code for proteins. Others (e.g., rRNA, tRNA) code for functional RNA. Gene Expression is a 2-step process:
The expression level is the rate at which a gene is being expressed. Housekeeping genes are continuously expressed, as they are essential for basic life processes. Regulated genes are expressed only under certain outside factors (environmental, physiological, etc.). Expression is controlled by the cell. It is easiest to control gene regulation by affecting transcription. One way to block repression is for repressor proteins bind to the DNA or RNA. Goal : Understand the complex cell behaviors of gene regulation, which is the process of turning on/off certain genes depending on the requirements of the organism.
When a host consumes milk, E. coli is exposed to lactose (milk sugar). Lactose consists of one glucose sugar linked to one galactose sugar. If both glucose and lactose are available, then glucose is the preferred energy source. Before lactose can used as energy, the β−galactosidase enzyme is needed to break it down. β−galactosidase is encoded by the LacZ gene on the lac operon. β−galactosidase also catalyzes lactose into allolactose.
To bring lactose into the cell, a transport protein, called lac permease, is required. This protein is encoded by the LacY gene on the lac operon. If lactose is not present, then neither of the following are produced:
Lactose is brought into the cell by the lac permease transporter protein β−galactosidase breaks up lactose into glucose and galactose.. β−galactosidase also converts lactose into allolactose. Allolactose binds to the lac repressor protein, preventing it from binding to the operator region of the genome. Transcription begins: mRNA encoding the lac genes is produced. Lac proteins are produced, and more lactose is brought into the cell. (The operon is ON.) Eventually, all lactose is used up, so there will be no more allolactose. The lac repressor can now bind to the operator, so mRNA transcription stops. (The operon has turned itself OFF.)
M: mRNA B: β−galactosidase A: allolactose P: transporter protein L: lactose
Let’s assume everything is “Boolean” (0 or 1): o Gene products are either present or absent o Enzyme concentrations are either high or low. o The operon is either ON or OFF. mRNA is transcribed (M=1) if there is no external glucose (G=0), and either internal lactose (L=1) or external lactose (Le=1) are present. The LacY and LacZ gene products (E=1) will be produced if mRNA is available (M=1). Lactose will be present in the cell if there is no external glucose (Ge=0), and either of the following holds: ü External lactose is present (Le=1) and lac permease (E=1) is available. ü Internal lactose is present (L=1), but β−galactosidase is absent (E=0). x M ( t + 1 ) = f M ( t + 1 ) = G e ∧( L ( t )∨ L e
x E ( t + 1 ) = f E ( t + 1 ) = M ( t ) x L ( t + 1 ) = f L ( t + 1 ) = G e
e ∧ E ( t ))∨( L ( t )∧ E ( t ))
We have two “types” of Boolean quantities: o mRNA (M), lac gene products (E), and internal lactose (L) are variables. o External glucose (Ge) and lactose (Le) are parameters (constants). Variables and parameters are drawn as nodes. Interactions can be drawn as signed edges. A signed graph called the wiring diagram describes the dependencies of the variables. Time is discrete: t = 0, 1, 2, …. Assume that the variables are updated synchronously. x M ( t + 1 ) = f M ( t + 1 ) = G e ∧( L ( t )∨ L e
x E ( t + 1 ) = f E ( t + 1 ) = M ( t ) x L ( t + 1 ) = f L ( t + 1 ) = G e
e ∧ E ( t ))∨( L ( t )∧ E ( t ))
We can plot the state space using the software: Analysis of Dynamical Algebraic Models (ADAM), at adam.plantsimlab.org. First, we need to convert our logical functions into polynomials. Here is the relationship between Boolean logic and polynomial algebra: Boolean operations logical form polynomial form o AND o OR o NOT
x E ( t + 1 ) = f E ( t + 1 ) = M ( t ) x L ( t + 1 ) = f L ( t + 1 ) = G e
e ∧ E ( t ))∨( L ( t )∧ E ( t ))
z = x ∧ y z = x ∨ y z = x z = xy z = x + y + xy z = 1 + x
x M ( t + 1 ) = f M ( t + 1 ) = G e ∧( L ( t )∨ L e
x E ( t + 1 ) = f E ( t + 1 ) = M ( t ) x L ( t + 1 ) = f L ( t + 1 ) = G e
e ∧ E ( t ))∨( L ( t )∧ E ( t ))
x M ( t + 1 ) = f M ( t + 1 ) = G e ∧( L ( t )∨ L e
x E ( t + 1 ) = f E ( t + 1 ) = M ( t ) x L ( t + 1 ) = f L ( t + 1 ) = G e
e ∧ E ( t ))∨( L ( t )∧ E ( t ))
State space when (Ge, Le) = (0, 0). The operon is OFF.
x M ( t + 1 ) = f M ( t + 1 ) = G e ∧( L ( t )∨ L e
x E ( t + 1 ) = f E ( t + 1 ) = M ( t ) x L ( t + 1 ) = f L ( t + 1 ) = G e
e ∧ E ( t ))∨( L ( t )∧ E ( t ))
State space when (Ge, Le) = (1, 0). The operon is OFF.