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Model highlight 1: PoPS for promoter strength

Mostly, promoter strength is determined by single-round in vitro transcriptions (sequences containing -35motifs, spacer, -10motifs, disc, start, initial transcribed region - bits) like the model of PWMs or in vivo GFP fluorescent assays. However, there are several drawbacks for using such methods to determine promoter strength. For example, promoter strength determined by sequences may be incorrect due to interdependency of motifs [1]; GFP fluorescent assays can only determine the relative promoter strength but the absolute one.

Concerning the disadvantages above, we choose PoPS mechanism for promoter strength for it is closer to the real situation. PoPS is defined as the level of transcription as the number of RNA polymerase molecules that pass a point on DNA each second, on a per DNA copy basis (PoPS = Polymerase Per Second; PoPSdc = PoPS per DNA copy).

Figure1: an example of PWMs [2]

NYMU an example of GFP fluorescent assays.png

Figure2: an example of GFP fluorescent assays [3]

What’s more, instead of describing transcription and translation together, we separate the two apart by applying the similar mechanism (Ribosome on RBS per second) to translation. The following pictures show the comparison between PoPS combing transcription and translation together and the separating counterpart. (figure3,4). The results conclude that the separate one is closer to real situations and thus is more practical.

NYMU pops defensin.png

Figure 3: the left shows defensin to time with PoPS combing transcription and translation together; the left shows the separating counterpart. According to experiment, this picture indicates the right one is closer to real situation.

NYMU pops ethanol.png

Figure4: the left shows defensin to time with PoPS combing transcription and translation together; the left shows the separating counterpart. The left shows that ethanol production is less affected by terminator addition, while the right one fits the expected result.

Reference: 1. Virgil A. Rhodius and Vivek K. Mutalik. Predicting strength and function for promoters of the Escherichia coli alternative sigma factor, σE. December 29, 2009

2. Virgil A. Rhodius and Vivek K. Mutalik. Predicting strength and function for promoters of the Escherichia coli alternative sigma factor, σE. December 29, 2009

3. John Blazeck, Rishi Garg, Ben Reed, Hal S. Alper. Controlling Promoter Strength and Regulation in Saccharomyces cerevisiae Using Synthetic Hybrid Promoters.