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2D System of Lac
Operon Dynamics:
mRNA and Lactose
Joaquin Reyna
Lanie Happ
Rohit Mande
Derek Bever
Lac Operon Background
 “Adaptive enzymes” coined by André Lwoff from observing yeast (1940)
 Classical lac operon model developed by Francois Jacob and Jacques
Monod using E. Coli (1949 – 1950s)
 First genetic regulatory mechanism to be fully understood/documented
 The lac operon has become the foremost model/example of prokaryotic
gene regulation.
OFF
state
ON
state
Lac Operon Activity
Our Simplified Model
Assumption: Glucose concentration is low and the effect of cAMP is removed
M′ = basal transcription rate + mRNA induction via lactose - degradation of mRNA
L′ = uptake of lactose by permease - dilution of lactose - breakdown of lactose by
β-galactosidase
M′ = a + (b * L5)/(c + L5) - d * M
L′ = e * M - f * L - (g * M * L)/(h + L)
Our Simplified Model
mRNA Parameters Lactose Parameters
a - basal transcription rate
b - maximal transcription rate
c - transcription capacity as a
result of lactose activation
d - mRNA degradation rate
constant
e - rate constant of lactose influx as
a result of mRNA (= to permease)
f - lactose degradation rate
constant
g - maximal β-galactosidase
degradation rate
h - β-galactosidase activity
capacity as a result of lactose
activation
M’ = 0.05 + (L5 / (1 + L5)) - M
L’ = M - 0.2L - (ML / (2 + L))
Bistabilty in the Lac Operon
A
B
C
Fixed points:
A: (1.0388, 2.3717) =
nodal sink
Lac operon is ON
B: (0.18585, 0.69071) =
saddle point
C: (0.050605, 0.22721) =
nodal sink
Lac operon is OFF
The Change in mRNA and
Lactose over Time
mRNA vs. timeLactose vs. time
Changing the Dynamics by
Varying the Concentration of
External Lactose (e)
e << 1
(e = 0.3)
e = 1
e >> 1
(e = 3)
Lac Operon Dynamics using
Parameters from Literature1
Parameter Description Value
b
maximum transcription
initiation rate
~0.18 min-1
d
degradation rate of mRNA
in E. coli
~0.46 mRNA/min-1
e
maximum rate of permease
activity (lactose into cell)
~6.0X104 min-1
g
maximum rate of β-
galactosidase activity
(breakdown of lactose)
~3.8x104 min-1
1Santillan, M. “Bistable Behavior in a model of the lac Operon in Escherichia coli with Variable Growth Rate.”
Biophys Journal 2008 March 15. 94(6): 2065-2081
Fixed Point:.
A: (0.5, 55003.4485)
= nodal sink
Limitation:
Simple model does not
seem to exhibit
bistable behavior using
experimentally
determined
parameters.
mRNA is not the cap
for lactose. In reality it’s
β-galactosidase
production.
Lac Operon Dynamics using Parameters
from Literature
A
Further Model Development
 Include a glucose variable
 Include a protein variable
 Include a cell growth
variable
New Research Ideas
 Understand the effect of
multiple operator binding
sites
 Research the effect of
different lac operon alleles
on dynamics
Future Directions
 Santillán, M. and MC Mackey. “Quantitative approaches to
the study of bistability in the lac operon of Escherichia coli.” J R
Source Interface 5 (2008): S29-39
 Santillán, M. “Bistable Behavior in a model of the lac Operon in
Escherichia coli with Variable Growth Rate.” Biophys Journal
2008 March 15. 94(6): 2065-2081
 Yildirim, N. et. al. “Dynamics and bistability in a reduced model
of the lac operon.” Chaos 14 (2004): 279-92
 Díaz-Hernández O, Santillán M. Bistable Behavior of the Lac
Operon in E. Coli When Induced with a Mixture of Lactose and
TMG. Frontiers in Physiology. 2010;1:22.
doi:10.3389/fphys.2010.00022.
 Müller-Hill, Benno. The Lac Operon. Berlin; New York: Walter de
Gruyter, 1996. Print.
References
QQuestions
???
2D System of Lac Operon Dynamics

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2D System of Lac Operon Dynamics

  • 1. 2D System of Lac Operon Dynamics: mRNA and Lactose Joaquin Reyna Lanie Happ Rohit Mande Derek Bever
  • 2. Lac Operon Background  “Adaptive enzymes” coined by André Lwoff from observing yeast (1940)  Classical lac operon model developed by Francois Jacob and Jacques Monod using E. Coli (1949 – 1950s)  First genetic regulatory mechanism to be fully understood/documented  The lac operon has become the foremost model/example of prokaryotic gene regulation.
  • 4. Our Simplified Model Assumption: Glucose concentration is low and the effect of cAMP is removed M′ = basal transcription rate + mRNA induction via lactose - degradation of mRNA L′ = uptake of lactose by permease - dilution of lactose - breakdown of lactose by β-galactosidase
  • 5. M′ = a + (b * L5)/(c + L5) - d * M L′ = e * M - f * L - (g * M * L)/(h + L) Our Simplified Model mRNA Parameters Lactose Parameters a - basal transcription rate b - maximal transcription rate c - transcription capacity as a result of lactose activation d - mRNA degradation rate constant e - rate constant of lactose influx as a result of mRNA (= to permease) f - lactose degradation rate constant g - maximal β-galactosidase degradation rate h - β-galactosidase activity capacity as a result of lactose activation
  • 6. M’ = 0.05 + (L5 / (1 + L5)) - M L’ = M - 0.2L - (ML / (2 + L)) Bistabilty in the Lac Operon A B C Fixed points: A: (1.0388, 2.3717) = nodal sink Lac operon is ON B: (0.18585, 0.69071) = saddle point C: (0.050605, 0.22721) = nodal sink Lac operon is OFF
  • 7. The Change in mRNA and Lactose over Time mRNA vs. timeLactose vs. time
  • 8. Changing the Dynamics by Varying the Concentration of External Lactose (e) e << 1 (e = 0.3) e = 1 e >> 1 (e = 3)
  • 9. Lac Operon Dynamics using Parameters from Literature1 Parameter Description Value b maximum transcription initiation rate ~0.18 min-1 d degradation rate of mRNA in E. coli ~0.46 mRNA/min-1 e maximum rate of permease activity (lactose into cell) ~6.0X104 min-1 g maximum rate of β- galactosidase activity (breakdown of lactose) ~3.8x104 min-1 1Santillan, M. “Bistable Behavior in a model of the lac Operon in Escherichia coli with Variable Growth Rate.” Biophys Journal 2008 March 15. 94(6): 2065-2081
  • 10. Fixed Point:. A: (0.5, 55003.4485) = nodal sink Limitation: Simple model does not seem to exhibit bistable behavior using experimentally determined parameters. mRNA is not the cap for lactose. In reality it’s β-galactosidase production. Lac Operon Dynamics using Parameters from Literature A
  • 11. Further Model Development  Include a glucose variable  Include a protein variable  Include a cell growth variable New Research Ideas  Understand the effect of multiple operator binding sites  Research the effect of different lac operon alleles on dynamics Future Directions
  • 12.  Santillán, M. and MC Mackey. “Quantitative approaches to the study of bistability in the lac operon of Escherichia coli.” J R Source Interface 5 (2008): S29-39  Santillán, M. “Bistable Behavior in a model of the lac Operon in Escherichia coli with Variable Growth Rate.” Biophys Journal 2008 March 15. 94(6): 2065-2081  Yildirim, N. et. al. “Dynamics and bistability in a reduced model of the lac operon.” Chaos 14 (2004): 279-92  Díaz-Hernández O, Santillán M. Bistable Behavior of the Lac Operon in E. Coli When Induced with a Mixture of Lactose and TMG. Frontiers in Physiology. 2010;1:22. doi:10.3389/fphys.2010.00022.  Müller-Hill, Benno. The Lac Operon. Berlin; New York: Walter de Gruyter, 1996. Print. References