Team:Kyoto/Hunger
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Contents |
Project Hunger
Carnivorous E.coli attracts insects by emitting light, but it is a burden for the E.coli. To reduce this burden, we use nitrogen regulatory proteins, NtrB and NtrC. They activate σ54 promoter when the supply of nitrogen is not enough. NtrB and NtrC are coded in glnL and glnG, respectively.
† NtrB and NtrC are otherwise called NRII, NRI
Introduction
Mechanism of Regulation of Transcription Depending on the Concentration of Glutamine
Ammonia is an essential nitrogen source for the bactria. When enteric bacteria are deprived of ammonia, they express glnA to produce glutamine synthetase(GS) under the σ54promoter. The transcription from σ54promoter is stimilated by phosphorylated form of NtrC(NtrC-P). The σ54 RNA polymerase binds to the glnA promoter, forming a closed complex, but cannot form an open complex and initiate transcription until it is activated by NtrC-P. NtrC is phosphorylated by NtrB-P, an autokinase which phosphorylates itself with ATPs. Phosphorylation and dephosphorylation of NtrB and C are controlled so that a cell has sufficient NtrC-P when the concentration of ammoniacal source is low.
The concentration of ammoniacal source is detected by the ratio of α-ketoglutarate to glutamine. If glutamine levels are low, less α-ketoglutarate is synthesized by GS and, as a result, Pii retains UMP and so cannot bind to NtrB. NtrB can then phosphorylate itself and transfer this phosphate to NtrC.
[GS Reaction Under Low NH3 Concentration] Glutamate + NH3 + ADP → Glutamine + ADP + phosphate GS Glutamine + αketoglutarate → 2 glutamate GS
In our project, we decided to use NtrB and NtrC to control the expression level of genes for the following reasons:
- They were not submitted to the partsregistry.
- Many researches have been done on NtrB and NtrC, while there are not as many reports on Pii and GS.
- The cell signalling mechanism can be made simple.
- σ54promoter was not quantitatively characterized.
We characterized the σ54promoter by Relative Promoter Unit (RPU), because absolute promoter activity depends on test conditions and measuring instruments. RPU can reduce this Coefficient of Variation (CV) from 39.1% to 17.5% [2]. Therefore RPU can make it easier for us to share the data of promoter activity and use BioBricks.
We have used GFP fluorescence to measure RPU previously, but this time, we tried to calculate RPU using another way for the reasons below:
- We know that it is a lot of trouble to calculate RPU using GFP fluorescence without platereader.
- As the σ54promoter relates to the metabolism of glutamine, the concentration of the glutamine changes and activity of σ54promoter changes.
When we calculate RPU using GFP fluorescence, we need to measure GFP fluorescence at two points in an exponential growth phase and same glutamine concentration, but we have the following problems.
- before E.coli reach exponential growth phase, the concentration of glutamine changes
- the concentration of glutamine is different between one point and the other point.
We devised the new way of calculating RPU using the amount of mRNA, according to the following equation.
We can characterize promoters with RPU easily by using this new way.
Method
We created the following two constructions to characterize σ54 promoter with RPU depending on the concentration of glutamine. One construction includes BBa_J23101 as a promoter which is used as the standard and the other includes binding sites and σ54 promoter.
This time we intended to assay the activity of promoter against glutamine concentration. It is desirable to induct after the cultivation in the medium without glutamine. However, from our last year's experience, we knew that E.coli grew really inefficiently in a M9 medium without casamino acids. So, at first we cultivated E.coli in the medium with casamino acids overnight, then changed the medium with the one without casamino acids. After that, we performed an experiment to determine how long it took to reach a steady state.
When we use new way to measure RPU, we need to know the length of time to reach steady state. So, we made the following preliminary experiments to measure it.
We cultivated E.coli in M9 media(+ casamino acids) for about 15 hours and dispenced 2.4ml to each tubes. Then, we centrifuged these tubes (13,000 rpm , 4°C, 1min) and discarded the supernatant. We added 2.4ml media(- casamino acids) and centrifuged at 4°C twice. Again, we centrifuged these tubes and discarded the supernatant and added 2.4ml media(-casamino acids) at 37 °C. We brought up E.coli at 0,5,10,15,20,25,30,60min and mesured OD600 and extracted RNA and synthesized cDNA. Finally, we used real time PCR.
Result
We get this new equation for measuring RPU.
To see the derivation, see Team:Kyoto/Hunger/Modeling.
Following table is the result of OD600 in the preliminary experiment.
over night culture | 0min | 5min | 10min | 15min | 20min | 25min | 30min | 60min | |
OD600 | 1.643 | 1.600 | 1.605 | 1.594 | 1.563 | 1.550 | 1.587 | 1.595 | 1.653 |
Following graphs are the results of real time PCR in the preliminary experiment.
This table is the relative RNA expression level used in graph1.
0min | 5min | 10min | 15min | 20min | 25min | 30min | 60min | |
GAPDH | 1 | 1.15796 | 1.477987 | 0.669569 | 0.216789 | 0.123519 | 0.158918 | 0.090074 |
TBP | 1 | 1.586912 | 3.103184 | 36.00222 | 16.53465 | 16.81689 | 26.70678 | 14.0751 |
PGK | 1 | 2.764137 | 2.807991 | 1.45171 | 0.473917 | 0.235602 | 0.689141 | 0.309861 |
actin | 1 | 1.31823 | 1.743549 | 0.626175 | 0.316547 | 0.152318 | 0.191665 | 0.125879 |
This table is the relative RNA expression level except TBP used in graph2.
0min | 5min | 10min | 15min | 20min | 25min | 30min | 60min | |
GAPDH | 1 | 1.15796 | 1.477987 | 0.669569 | 0.216789 | 0.123519 | 0.158918 | 0.090074 |
PGK | 1 | 2.764137 | 2.807991 | 1.45171 | 0.473917 | 0.235602 | 0.689141 | 0.309861 |
actin | 1 | 1.31823 | 1.743549 | 0.626175 | 0.316547 | 0.152318 | 0.191665 | 0.125879 |
This table is the relative RNA expression level corrected by PGK used in graph3.
0min | 5min | 10min | |
GAPDH | 1 | 0.445449 | 0.588774 |
TBP | 1 | 0.60403 | 1.191124 |
actin | 1 | 0.520922 | 0.680571 |
This table is the relative RNA expression level corrected by TBP used in graph4.
0min | 5min | 10min | |
GAPDH | 1 | 0.733254 | 0.478325 |
PGK | 1 | 1.702282 | 0.897464 |
actin | 1 | 0.84523 | 0.562937 |
This table is the relative RNA expression level corrected by GAPDH used in graph5.
0min | 5min | 10min | |
TBP | 1 | 1.365421 | 2.127406 |
PGK | 1 | 2.337666 | 1.973042 |
actin | 1 | 1.149192 | 1.188311 |
This table is the relative RNA expression level corrected by actin used in graph6.
0min | 5min | 10min | |
GAPDH | 1 | 0.877036 | 0.84605 |
TBP | 1 | 1.20119 | 1.782596 |
PGK | 1 | 2.086329 | 1.623779 |
This table is the csiE, stationary phase specific gene, expression level corrected by GAPDH or actin used in graph7.
csiE | 0min | 5min | 10min | 15min |
corrected by GAPDH | 1 | 1.225641019 | 0.783607523 | 5.373500165 |
corrected by actin | 1 | 0.979871284 | 0.711422654 | 5.451538605 |
This table is the bolA, stationary phase specific gene, expression level corrected by GAPDH or actin used in graph8.
bolA | 0min | 5min | 10min | 15min |
corrected by GAPDH | 1 | 0.938259866 | 0.516878973 | 3.324786006 |
corrected by actin | 1 | 0.750116784 | 0.469264778 | 3.373071314 |
Discussion
Graph1 shows the relative RNA expression level(GAPDH,TBP,PGK,actin) which is not corrected by internal control gene. Although the initial RNA expression level is not equal, it can be said that more than twice the difference is not an accidental error of the experiment. Since the expression level of TBP becomes 35 times higher than its initial amount in 15 minutes, we can say that TBP is not suitable for the internal control and that E.coli is not in the steady state after 15 minutes in this experiment.
Graph2 is the same data with the graph1 except TBP. Since the expression level of PGK changes a lot, PGK is not suitable for the internal control either. In 0-10 minutes the expression level of GAPDH and actin doesn’t change so much and behave similarly.
Graph3-6 show the data corrected by each internal control. When GAPDH is used as the internal control, the change of actin is little (x1.0~1.2) When actin is used as the internal control, the change of GAPDH is little (x0.8~1.0) According from these data, we assumed that GAPDH and actin is suitable for the internal control and that steady state is probably 0~10 minutes.
Graph7,8 is the data of stationary phase specific genes corrected by GAPDH or actin as internal control. These graphes show that 10 minutes is not steady state but 0~5 minutes is steady state. So, we know the timing of steady state and can measure RPU with our new way.
Reference
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