Team:NYMU-Taipei/Modeling/Ethanol

From 2013.igem.org

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Revision as of 16:11, 28 October 2013

National Yang Ming University

1 Ethanol model
2 Results
3 Discussion
4 Circuit Design and improvements
5 parameters:

Ethanol model

Background:

TrxC promoter is an oxyR-activated promoter. Behind trxC promoter are several terminals to inhibit T7 polymerase-producing gene from being opened easily ; namely, it will not open until the concentration of oxyR is high enough, which means the bees are facing disastrous infection. Once oxyR concentration overcomes the threshold and conquers the terminal obstacles, T7 polymerase is produced and will bind to T7 promoter, which is a specific promoter binding only to T7 polymerase. Behind the T7promoter are enzyme PDC and ADH-producing genes, which will convert pyruvate to ethanol, and thus kill spores of Nosema Ceranae.

Pathway of ethanol:

PDC= pyruvate decarboxylase; ADH= Acetaldehyde

Aims

To simulate how many terminal do we need as a threshold to have the T7 polymerase-producing gene open at a proper 　　time.
To simulate the threshold concentration of oxyR to conquer the terminal.
To determine the time of opening to see if the circuit could open in time (useful).

As for how we measure promoter strengths, we choose PoPS, which is the rate of RNA polymerase binding to the DNA and trigger the transcription of the certain gene.

It is assumed that the dose of pyruvate is sufficient in bees’ body through enough proliferation/copy number of Beecoli; the possibility of RNApolymerase skipping terminators is assumed to be proportional to time span; equilibrium between pyruvate and acetaldehyde is dominantly rightward, while equilibrium between acetaldehyde and ethanol is bidirectional; concentration of ethanol will not easily decrease and will sustain for a period of time.

Equation1:

\frac{d[mRNA_T_7]}{dt}=\frac{ [ROSoxyR]^{nROSoxyR} }{ KdROSoxyR^{nROSoxyR}+[ROSoxyR]^{nROSoxyR} }\times{PoPStrxC}\times\frac{N}{V}\times{a}+\frac{ [T7]^{nT7} }{ KdT7^{nT7}+[T7]^{nY7} }\times{PoPST7}\times\frac{N}{V}-KdegmRNA\times[mRNAPDC]

KdROSoxyR = dissociation constant of ROSoxyR
n ROSoxyR = Hill coefficient of ROSoxyR
PoPStrxC = promoter strength of trxC
KdT7 = dissociation constant of T7
NT7 = Hill coefficient of T7
PoPST7 = promoter strength of T7 promoter
KdegmRNA = degrading constant of sensor promoter mRNA
N = number of plasmid in a single cell
V = volume of a cell

more1

Equation2:

\frac{d[protein of T7 polymerase ]}{dt}=RBS\times{PoPStrxC}\times\frac{N}{V}\times{a}\times{\frac{ [ROSoxyR]^{n1} }{ [Kd]^{n1}+[ROSoxyR]^{n1} }}}+PoPST7\times{T7 effect}\times\frac{N}{V}-{KdegT7}\times{T7}

PoPStrxC = promotor strength of trxC promoter
PoPST7 = promoter strength of T7 promoter
RBS = binding site strength
kdegT7 = degrading constant of T7 polymerase
a = posibility of conquering the threshold concentration
n1 = Hill coefficient of ROSoxyR (complex of ROS+oxyR)
N = number of plasmid in a single cell
V = volume of a cell

The aim of the equation is to know the threshold concentration of oxyR to conquer the terminal and when T7 polymerase can reach the required concentration to activate T7 promoter.

more2

Equation3:

\frac{d[mRNA_P_D_C]}{dt}=\frac{ [T7]^{nT7} }{ KdT7^{nT7}+[T7]^{nY7} }\times{PoPST7}\times\frac{N}{V}-KdegmRNA\times[mRNAPDC]

KdT7 = dissociation constant of T7
NT7 = Hill coefficient of T7
PoPST7 = promoter strength of T7 promoter
KdegmRNA = degrading constant of sensor promoter mRNA
N = number of plasmid in a single cell
V = volume of a cell

The aim of the equation is to know mRNA of enzyme PDC production rate and when it can reach the level to translate enough PDC.

more3

Equation4:

\frac{d[PDC]}{dt}=RBS\times{PoPST7effect}\times\frac{N}{V}-{kdegPDC}\times[PDC}]

RBS = binding site strength
PoPST7 = promoter strength of T7 promoter
N = number of plasmid in a single cell
V = volume of a cell
KdegPDC = degrading constant of PDC (pyruvate decarboxylase)

The aim of the equation is to know PDC production rate and when it can reach the concentration of ethanol pathway equilibrium.

more4

Equation5:

\frac{d[mRNA_A_D_H]}{dt}=\frac{ [T7]^{nT7} }{ KdT7^{nT7}+[T7]^{nY7} }\times{PoPST7}\times\frac{N}{V}-KdegmRNA\times[mRNAADH]

KdT7 = dissociation constant of T7
NT7 = Hill coefficient of T7
PoPST7 = promoter strength of T7 promoter
KdegmRNA = degrading constant of sensor promoter mRNA
N = number of plasmid in a single cell
V = volume of a cell

more5

Equation6:

\frac{d[ADH]}{dt}=RBS\times{PoPST7effect}\times\frac{N}{V}-{KdegADH}\times[ADH]}

RBS = binding site strength
PoPST7 = promoter strength of T7 promoter
N = number of plasmid in a single cell
V = volume of a cell
KdegADH = degrading constant of ADH (Acetaldehyde)

The aim of the equation is to know ADH production rate and when it can reach the concentration of ethanol pathway equilibrium.

more6

Equation7:

\frac{d[ethanol]}{dt}=Kpyruvateacetaldehyde\times{Kacetaldehydeethanol}\times\frac{[PDC]^{nPDC} }{ KdPDC^{nPDC}+[PDC]^{nPDC}}\times\frac{[ADH]^{nADH} }{ KdADH^{nADH}+[ADH]^{nADH}}-Km\times\frac{[ADH]^{nADH}}{ KdADH^{nADH}+[ADH]^{nADH}}\times[ethonal]

Kpyruvateacetaldehyde = pyruvate→acetaldehyde reaction rate constant
Kacetaldehydeethanol = acetaldehyde→ethanol reaction rate constant
Km = ethanol→acetaldehyde reaction rate constant
KdADH = dissociation constant of ADH

The aim of the equation is to know ethanol production rate and when it can reach the concentration to kill the spores of Nosema Ceranae.

more7

Results

Figure1:this figure shows that after adding several terminators and T7 polymerase mechanism, we successfully build a time delay as well as a boom of PDC and ADH enzymes to attain our goal-ethanol production can reach its effective concentration(0.0005M) after 80 hours of Nosema infection.

Figure2:This picture is a control group model. It shows that without Nosema infection (ROS concentration=0), ethanol production is low enough to be ignored. As a result, the bee will not be harmed by ethanol.

Figure3: ethanol production turning off after Nosema is killed (step 1)

Figure4: ethanol production turning off after Nosema is killed (step 2)

Figure3, Figure4: The two pictures above show that if Nosema is killed by defensin (kill protein) effectively, the ethanol production will soon be turned off (will not reach the effective concentration and decrease to a neglectable low level).

Discussion

Figures show that after sensor AhpCp is activated, ethanol reaches its effective concentration 72-80 hours after the infection, which is the time in Nosema lifecycle when bees carrying Nosema spores become incurable and infectious to other bees), In other words, this means if killing protein targeting at Nosema wasn't produced or functioning properly (click here to see the previous model for killing protein), Beecoli turns against the sick bee to kill it within 3-4days.

To make ethanol production on time, we adjusted the expression level of OxyR (click here for more information), the terminators in front of the desired gene, and the promoter strength for independent production of PDC and ADH(click here for detailed information about circuit design).

Circuit Design and improvements

To postpone ethanol production until it is needed, we adjusted the terminators’ effect in terms of possibility (click here to see the ODE). Results show that there’s a short lag (8-10 hours) between invasion sensing and ethanol production rather than a long one expected. This means that possibility isn’t a sensitive parameter and therefore adding terminator is not an efficient way to manipulate timing when ethanol is produced. Nevertheless, these terminators still has the function of preventing leakage of T7 polymerase production (click here for detailed information about circuit design). By adjusting the parameters in the ODEs given, we found that the nature of T7 transcription is key to adjusting ethanol production time. If postponing ethanol production is needed, a T7 promoter with lower promoter strength and T7 polymerase with higher degrading rate should be chosen

parameters:

Model	Parameter	Description	Value	Unit	Reference
Ethanol	pyruvate	Initial concentration of pyruvate in MG1655	1.18 x 2	g/L	Expression of pyruvate carboxylase enhances succinate production in Escherichia coli without affecting glucose uptake
	nPDC	Hill coefficient of PDC	2.1	-	Purification, characterization and cDNA sequencing of pyruvate decarboxylase Zygosaccharomyces biporus
	nADH	Hill coefficient of ADH	at high pH values, 30◦C, n=1; at low temperature, n=3	-	Evidence for co-operativity in coenzyme binding to tetrameric Sulfolobus solfataricus alcohol dehydrogenase and its structural basis: ﬂuorescence, kinetic and structural studies of the wild-type enzyme and non-co-operative N249Y mutant

Retrieved from "http://2013.igem.org/Team:NYMU-Taipei/Modeling/Ethanol"

@@ Line 23: / Line 23: @@
 <html>
 <div lang="latex" class="equation">
-\frac{d[mRNAT7]}{dt}=\frac{ [ROSoxyR]^{nROSoxyR} }{ KdROSoxyR^{nROSoxyR}+[ROSoxyR]^{nROSoxyR} }\times{PoPStrxC}\times\frac{N}{V}\times{a}+\frac{ [T7]^{nT7} }{ KdT7^{nT7}+[T7]^{nY7} }\times{PoPST7}\times\frac{N}{V}-KdegmRNA\times[mRNAPDC]
+\frac{d[mRNA_T_7]}{dt}=\frac{ [ROSoxyR]^{nROSoxyR} }{ KdROSoxyR^{nROSoxyR}+[ROSoxyR]^{nROSoxyR} }\times{PoPStrxC}\times\frac{N}{V}\times{a}+\frac{ [T7]^{nT7} }{ KdT7^{nT7}+[T7]^{nY7} }\times{PoPST7}\times\frac{N}{V}-KdegmRNA\times[mRNAPDC]
 </div>
 </html>
@@ Line 62: / Line 62: @@
 <html>
 <div lang="latex" class="equation">
-\frac{d[mRNAPDC]}{dt}=\frac{ [T7]^{nT7} }{ KdT7^{nT7}+[T7]^{nY7} }\times{PoPST7}\times\frac{N}{V}-KdegmRNA\times[mRNAPDC]
+\frac{d[mRNA_P_D_C]}{dt}=\frac{ [T7]^{nT7} }{ KdT7^{nT7}+[T7]^{nY7} }\times{PoPST7}\times\frac{N}{V}-KdegmRNA\times[mRNAPDC]
 </div>
 </html>
@@ Line 99: / Line 99: @@
 <html>
 <div lang="latex" class="equation">
-\frac{d[mRNAADH]}{dt}=\frac{ [T7]^{nT7} }{ KdT7^{nT7}+[T7]^{nY7} }\times{PoPST7}\times\frac{N}{V}-KdegmRNA\times[mRNAADH]
+\frac{d[mRNA_A_D_H]}{dt}=\frac{ [T7]^{nT7} }{ KdT7^{nT7}+[T7]^{nY7} }\times{PoPST7}\times\frac{N}{V}-KdegmRNA\times[mRNAADH]
 </div>
 </html>
@@ Line 143: / Line 143: @@
-'''The aim of the equation is to know ethanol production rate and when it can reach the concentration to kill the spores of Nosema Ceranae.'''
+'''The aim of the equation is to know ethanol production rate and when it can reach the concentration to kill the spores of ''Nosema'' Ceranae.'''
 [[more7]]
@@ Line 153: / Line 153: @@
 [[File:NYMU_ethanol normal .jpg]]
-Figure1:this figure shows that after adding several terminators and T7 polymerase mechanism, we successfully build a time delay as well as a boom of PDC and ADH enzymes to attain our goal-ethanol production can reach its effective concentration(0.0005M) after 80 hours of Nosema infection.
+Figure1:this figure shows that after adding several terminators and T7 polymerase mechanism, we successfully build a time delay as well as a boom of PDC and ADH enzymes to attain our goal-ethanol production can reach its effective concentration(0.0005M) after 80 hours of ''Nosema'' infection.
 [[File:NYMU_ethanol control .jpg]]
-Figure2:This picture is a control group model. It shows that without Nosema infection (ROS concentration=0), ethanol production is low enough to be ignored. As a result, the bee will not be harmed by ethanol.
+Figure2:This picture is a control group model. It shows that without ''Nosema'' infection (ROS concentration=0), ethanol production is low enough to be ignored. As a result, the bee will not be harmed by ethanol.
 [[File:NYMU_ethanol turn off1 .jpg]]
-Figure3: ethanol production turning off after Nosema is killed  (step 1)
+Figure3: ethanol production turning off after ''Nosema'' is killed  (step 1)
 [[File:NYMU_ethanol turn off2 .jpg]]
-Figure4: ethanol production turning off after Nosema is killed  (step 2)
+Figure4: ethanol production turning off after ''Nosema'' is killed  (step 2)
-Figure3, Figure4: The two pictures above show that if Nosema is killed by defensin (kill protein) effectively, the ethanol production will soon be turned off (will not reach the effective concentration and decrease to a neglectable low level).
+Figure3, Figure4: The two pictures above show that if ''Nosema'' is killed by defensin (kill protein) effectively, the ethanol production will soon be turned off (will not reach the effective concentration and decrease to a neglectable low level).
 ==Discussion==
-Figures show that after sensor AhpCp is activated, ethanol reaches its effective concentration 72-80 hours after the infection, which is the time in Nosema lifecycle when bees carrying Nosema spores become incurable and infectious to other bees), In other words, this means if killing protein targeting at Nosema wasn't produced or functioning properly (click here to see the previous model for killing protein), Beecoli turns against the sick bee to kill it within 3-4days.
+Figures show that after sensor AhpCp is activated, ethanol reaches its effective concentration 72-80 hours after the infection, which is the time in ''Nosema'' lifecycle when bees carrying ''Nosema'' spores become incurable and infectious to other bees), In other words, this means if killing protein targeting at ''Nosema'' wasn't produced or functioning properly (click here to see the previous model for killing protein), Beecoli turns against the sick bee to kill it within 3-4days.
 To make ethanol production on time, we adjusted the expression level of OxyR [[(click here for more information)]], the terminators in front of the desired gene, and the promoter strength for independent production of PDC and ADH[[(click here for detailed information about circuit design)]].