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T7 Universal Test Construct 7.0

Part Description

We proudly present our best new composite part: The Universal T7 Test Construct 7.0. After seven rounds of the design-build-test-learn cycle, we have identified the most efficient combination of regulatory parts and reporter genes for the expression in chloroplast cell-free extracts. This composite part allowed us to develop the first fully functional cell-free extract of english oak chloroplasts, which would not have been possible without our engineering iterations. We hope that future teams could use our Universal test construct 7.0 to develop complete new project ideas, involving any plant chassis they could think of and directly start troubleshooting their extract preparation without worrying about the optimal DNA construct design in the first place.

When we started our project we had to face a typical “chicken or egg” problem: How would we design our first test construct in order to verify that we have a working chloroplast cell-free extract without having a working extract where we can test if our test construct design works. For this we tried to use one of engineering principles, which was proposed in the early days of synthetic biology: Decoupling. Decoupling is the concept of dividing a complex problem into many simpler problems that can be worked on separately^[18]. Although this principle is not 100% translatable to some biological engineering problems, as many things are interconnected and influence each other, it still helped us to overcome the “chicken or egg” barrier. The following basic parts would are required in order to build and test a functional transcriptional unit for our chloroplast extracts:

1. Promoter
2. 5’untranslated region (UTR)
3. Reporter gene/codon optimization of the reporter
4. 3‘untranslated region (UTR)

For the promoter we decided on using the T7 promoter for our universal test construct, which requires the addition of the T7 polymerase to the cell- free reaction. The usage of the T7 transcription system allowed us to reduce the number of possible problems, due to the fact that we have more control over it as we can just titrate the amount of T7 polymerase for our cell-free reaction.

Characterization & Measurement

Batch effect

A major difficulty when working with cell free technology is the reproducibility of reliable data generation. While one batch of cell free extract generation might be perfectly suited for efficient protein production, other batches might not perform that well. Because our chloroplast extracts were prepared from leaves, each preparation could have contained distinct compositions of differentiated leaf cells (for example: mesophyll, palisade parenchyma and bundle sheath) from plants that experienced microclimatic variations. This in turns causes the individual difference in expression strength, making it impossible to quantitatively compare data across measurements.

Results

Choosing the Reporter System

The next important design decision was the selection of the reporter system we would use. Therefore, we looked into different fluorescent proteins, such as mScarlet and sfGFP, but also into luciferase-based reporters, like the Firefly and Nanoluc luciferase. After our first measurements, it was clear that fluorescent reporters are not suitable for our cell-free measurements in our chloroplast systems, as the signal can not be distinguished from the noise (Figure 1). On the one hand, this can be explained due to the autofluorescence of the remaining chlorophyll molecules, which increase the fluorescence background levels of the extract control. And on the other hand the expression level of our cell-free reaction seems to be too low at least for the beginning, when we were still at the troubleshooting phase of our extract preparation.

Therefore, we went back to the design phase and decided to further look into luminescence-based reporters. The next experiment we performed was the comparison of the Firefly with the Nanoluc luciferase. Generally, it can be observed that the background of luminescence is very low in the control, compared to fluorescence measurements (Figure 2). Additionally, high luminescence levels can be observed, which allows the detection of successful expression from our chloroplast cell-free extracts. When comparing the two different luciferases Nanoluc shows a superior signal overall and an improved signal-over-noise ratio. Hence, we selected the Nanoluc luciferase as our reporter system for our Universal test construct for all our future experiments.

Marburg collection 3.0

We proudly present the third expansion of the Marburg collection ^[15]. The Marburg collection is a Golden Gate based toolbox containing various parts that are compatible with the PhytoBrick system and MoClo. Compared to other bacterial toolboxes, the Marburg Collection shines with superior flexibility. The collection overcame the rigid paradigm of plasmid construction - thinking in fixed backbone and insert categories - by achieving complete de novo assembly of plasmids. 36 connectors facilitate flexible cloning of multigene constructs and even allow for the inversion of individual transcription units.

The original [http://2018.igem.org/Team:Marburg/Part_Collection Marburg Collection] contains 123 parts in total, including: inducible promoters, reporters, fluorescence and epitope tags, oris, resistance cassettes and genome engineering tools. The toolbox was constructed as a foundation for future iGEM teams to empower accelerated progression in their ambitious projects.

Our collection includes genetic parts suitable for use in the chloroplast. Among parts from the chloroplast of Nicotiana tabacum, we built parts from the chloroplast of Spinacia oleracea, Oryza sativa,Triticum aestivum and Quercus robur. With our contribution, we aim to accelerate research in the field of plastid engineering.

Sequence and Features

References

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[13] Pfalz, J., Bayraktar, O. A., Prikryl, J., & Barkan, A. (2009). Site-specific binding of a PPR protein defines and stabilizes 5′ and 3′ mRNA termini in chloroplasts. The EMBO Journal, 28(14), 2042–2052. https://doi.org/10.1038/emboj.2009.121

[14] Schaumberg, K. A., Antunes, M. S., Kassaw, T. K., Xu, W., Zalewski, C. S., Medford, J. I., & Prasad, A. (2015). Quantitative characterization of genetic parts and circuits for plant synthetic biology. Nature Methods, 13(1), 94–100. https://doi.org/10.1038/nmeth.3659

[15] Stukenberg, D., Hensel, T., Hoff, J., Daniel, B., Inckemann, R., Tedeschi, J. N., Nousch, F., & Fritz, G. (2021). The Marburg Collection: A Golden Gate DNA Assembly Framework for Synthetic Biology Applications in Vibrio natriegens. ACS Synthetic Biology, 10(8), 1904–1919. https://doi.org/10.1021/acssynbio.1c00126

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[18]Endy, D. (2005). Foundations for engineering biology. In Nature (Vol. 438, Issue 7067, pp. 449–453). Springer Science and Business Media LLC. https://doi.org/10.1038/nature04342