Part:BBa_K4207013
BYDV toehold switch B69 by TrigGate
Toehold switch for the detection of BYDV genomic RNA, designed in collaboration with TrigGate
1. Usage and Biology
Toehold switches are engineered riboregulators that control the expression of a downstream protein coding sequence. They can be designed to detect virtually any sequence. Toehold switches are designed in silico so that they fold into a pre-determined secondary structure. This structure contains a stable stem-loop that sequesters the ribosome binding site (RBS) and the start codon, thus preventing translation. After a specific trigger RNA binds to the binding site of the toehold, the lower part of the stem-loop unfolds, revealing the start codon. A weak stem remains, but this structure unfolds upon ribosome binding to the RBS, starting translation (Green et al., 2017). This toehold switch was designed to detect conserved sequences in the X genome. The structural change of the toehold switch is illustrated in Figure 1.
To use this toehold switch, it should be assembled in a construct containing a promoter, the toehold switch, a protein-coding sequence, and optionally a terminator if the sensor is not to be used as linear. To prevent frame-shifting, the last nucleotide is omitted from the sequence and this part is compatible with iGEM Type IIS standard assembly.
Sequence and Features
- 10COMPATIBLE WITH RFC[10]
- 12COMPATIBLE WITH RFC[12]
- 21COMPATIBLE WITH RFC[21]
- 23COMPATIBLE WITH RFC[23]
- 25COMPATIBLE WITH RFC[25]
- 1000COMPATIBLE WITH RFC[1000]
2. Design
This toehold switch was designed according to the B-series ideal structure from Pardee et al. (2016). This structure was improved from the original toehold switch structure (Green et al., 2014) to reduce translational leakage. We screened the BYDV genome for conserved sequences. Each sequence was divided into 36-nucleotide long subsequences and we designed toehold switches designed to specifically bind to the sequence. This toehold switch was designed using the 30-nucleotide linker found in the 27B sensor (Pardee et al., 2016). We assigned a score for each toehold switch based on the three-parameter fit from Ma et al. (2018) and selected the best-ranking toehold switches for our library.
3. Characterization
Score predicted by our model: 18,89
Based on our modeling data, this toehold switch is likely to perform as desired. This toehold switch was created with the second iteration of TrigGate software.
4. Conclusion
There is no experimental data about this part’s performance, so experiments would be necessary to judge this part’s performance. However, based on the modeling data, this toehold switch is likely to exhibit trigger-dependent translation and therefore function as desired.
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