Team:CSU Fort Collins/Results

COLORADO STATE
UNIVERSITY iGEM

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Project Results

Contents

1 Key Results
2 Breakdown
3 Trans-zeatin Production
4 Kill Switch
5 References

Key Results

Key Achievements

• Construction and submission of multiple team parts
• Proof of the composite lac promoter:fadD:fadL part function
• Characterization of KillerRed in E. coli for use as an induced lethality switch

Key Challenges

• Reworking breakdown construct ideas after fadD experiment
• Inconclusive results about trans-zeatin production
• Proper handling and experimental design for testing KillerRed

Breakdown Results

Figure 1: First growth curve for the breakdown process. Growth comparison between lac promoter control and lac promoter:fadD. We concluded fadD addition was insufficient for increased fatty acid breakdown.


Figure 2: Our second growth curve for the breakdown process. Growth comparison between lac promoter control, lac promoter:fadD, lac promoter:fadL, and lac promoter:fadD:fadL.

The first breakdown construct we made was just fadD under lac promoter control. We then grew this strain up with only fatty acids (0.04% steric acid) as an energy source. We found that adding that just the fadD gave the cells no advantage over cells that had a similar metabolic load but did not produce fadD (the control - cells containing pSB1C3 with only the lac promoter). This is illustrated in Figure 1.

Once we discovered that having just the fadD wasn’t enough we went back and did more research to see what else we could add to improve its performance. We found the the transport of fatty acids into the cell was another rate limiting step. This step is facilitated by fadL. So we then constructed plasmids with just fadL and a promoter as well as one with both fadD, fadL, and a promoter. We then ran a very similar experiment as before on all of those constructs with the lac promoter plasmid as a control. Instead of using steric acid, we grew the cells on 0.04% used frying oil. The results of this experiment can be seen in Figure 2. We found that combining the fadD and fadL resulted in the best growth rate by far.

With the concept proven, we moved on to testing all of these constructs in real used frying oil. The growth on 100% frying oil was quickly too much to measure using ODs so we switched to measuring cell weight. The 50% oil: 50% Brij58 solution remained at low enough densities that we continued to measure growth using ODs.

Trans-zeatin Production Results

Our team was able to successfully create two constructs, a basic part and a composite part which included an inducible promoter, which encode for the trans-zeatin biosynthesis pathway. We ran multiple growth experiments to assess how much metabolic stress, if any, our construct introduced into our strain. We tested our strain, with the tzS:LOG operon behind a lac promoter, against a plasmid just containing the lac promoter. We compared their growth over 24 hours and 72 hours in shake flasks, as well as in bioreactors over 72 hours. From the results, we can conclude that the presence of the genes does not increase metabolic stress on the cell.


Figure 1: Growth comparison between a control strain and our trans-zeatin strain in shake flasks over 24 hours.


Figure 2: Growth comparison between a control strain and our trans-zeatin strain in shake flasks over 72 hours.


Figure 3: Growth comparison between a control strain and our trans-zeatin strain in bioreactors over 72 hours.

Throughout these experiments, we also collected suspension samples which we purified and ran on a reverse-phase HPLC column. Initially, we extracted using 80% methanol and syringe filtration. The HPLC results had too much background to be conclusive, so we developed a new method, based on extraction of zeatin from coconut water^[1]. The procedure required single-phase extraction (SPE) using C-18 HyperSep columns. Again, the results showed a lot of background, but no conclusive evidence of trans-zeatin production. The HPLC comparisons show no noticeable peak differences at the time of the retention standards.


Figure 4: HPLC results. A) Bioreactor lac promoter control after 72 hours B) Bioreactor trans-zeatin strain after 72 hours C) Trans-zeatin time retention standard D) Shake flask lac promoter control after 72 hours E) Shake flask trans-zeatin strain after 72 hours F) Trans-zeatin time retention standard. There is no noticeable difference in peaks between the controls and the test strains, and there are no noticeable peaks present at the time of the retention standard.

There are two possible reasons for these results. It is possible that trans-zeatin is being created, but is below our limit of detection using HPLC-UV. To resolve this, we will use a more sensitive process, liquid chromatography with dual mass spectrophotometry, which can detect trans-zeatin presence in the pico- to nanogram per mL range. Alternatively, it is possible that the E. coli is not producing trans-zeatin at all. To determine if this is the issue, we will run qPCR to detect mRNA expression.

Kill Switch Results

We ran a lot of experiments to try and characterize the KillerRed part. Working with this part was incredibly difficult. Our first issue was the strain of cells we were using did not have a strong lac repressor, therefore KillerRed was always being expressed. This meant that any light exposure resulted in cell death. This made constructing a kill curve almost impossible, as we lost our control every time at the same rate we lost the cells that were supposed to be expressing KillerRed. So we transformed into E. coli F’I^2 cells, which are modified to have a strong lac repression system. We ran multiple experiments on these cells with only small details changed, however we could not find any significant difference between our control and our KillerRed cells. We suspected that it might have to do with our jerry-rigged dark room (cells got light exposure before we even had a chance to plate), or maybe we did not have high enough intensity light (so we tried exposing the plates to direct sunlight, the heat killed all our cells) or maybe our entire premise on how to measure the kill rate was off.

So we rethought our experiment and asked for some help. We got to use a real dark room and plated in a much simpler manner. The data we got from this experiment shows as little correlation as any of the previous ones we ran. We have not included a figure as there is no logical way to present this data graphically. Our data tables are available below. We thus concluded that our KillerRed does not work the way we expected. We speculate that the E. coli may mutate the KillerRed gene so that the cells turn red but no reactive oxygen species are released to induce cell death.

Experimental Data

Click to see our data tables

References

1. Ma, Zhen et al. "Simultaneous analysis of different classes of phytohormones in coconut (Cocos nucifera L.) water using high-performance liquid chromatography and liquid chromatography–tandem mass spectrometry after solid-phase extraction." Analytica Chimica Acta 610:274-281. January 2008.

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