Histamine-Tar novel chemoreceptor
We successfully redesigned, cloned and tested a novel Histamine-Tar chemoreceptor. The design was done with the Rosetta bioinformatics tool, by following the protocol published by Moretti, R. et al. (1). The goal was to design a binding pocket for a selected small ligand. The Rosetta’s design process for the new ligand: Histamine produced 870 results, out of which 11 variants remained after filtering. The 11 variants were cloned into the native Tar ligand binding domain (LBD), out of these only 6 exhibited the expected sequences in sequencing and were subjected to chemotaxis tests. Out of all the tested variants only one was discovered to be attracted to Histamine. Sequencing results showed that the only mutations to occur in this variant were those planned by the Rosetta’s design.
We observed the bacteria’s response to the attractant, Histamine, by using a microscope assay. It is evident in figure 2b that roughly 20 minutes after the addition of the Histamine, the bacterial concentration in the vicinity of the Histamine is much greater than in the beginning of the experiment (figure 2a).
Fig. 2: microscope results of chemotaxis activity for variant His_9 with 10mM Histamine. a. Tar-Histamine: before adding Histamine. b. Tar-Histamine: 20 minutes after adding Histamine. c. Tar-Histamine: before adding the Motility buffer (control solution). d. Tar-Histamine: 20 minutes after adding the Motility buffer.
Histamine-Tar fused with GFP marker:
To prove the correct localization of the Tar-Histamine, GFP was fused to its C-terminus with a short linker sequence (E0040). The results of these tests as seen in figure 3, prove our assumption of correct localizations.
Finally, in the video below, a working concept of the FlashLab project - a chip that serves as a detection tool based on the chemotaxis system of E. coli bacteria. In the video, a commercial ibidi microfluidic chip filled with a suspension of bacteria expressing the chemoreceptor and chromoprotein (K1992011 + K1357008) can been observed. A solution of attractant (10-3M Histamine) was added to the chip and bacteria displacement was monitored and recorded
Video 1: from left to right:
(1) Histamine-Tar with Histamine attractant added.
(2) Histamine-Tar with Motility buffer added (control).
As we demonstrated, Rosetta provides us with the means to
redesign a chemoreceptor to bind new ligands. In the
future this ability can be used in the same manner to
design dozens of new receptors. The critical step of the
design process remains the lab work required to clone and
test the variants, this step can be optimized by using a high
throughput chemotaxis assay. Aside from this, any receptor designed
can be further improved by introducing a directed evolution step to
improve its specificity towards the new ligand.
In addition, we wrote a “How to use” Rosetta guide in cooperation with the Rosetta developers and
iGEM TU Eindhoven team, and built a framework software tool to allow fellow researchers the ability to redesign a binding site easily.
FlashLab - microfluidic chip
We showed a working concept of the FlashLab project - This chip (commercial ibidi chip) serves as a detection tool based on the chemotaxis system of E. coli bacteria. - The chip is filled with a suspension of bacteria expressing the desired receptor and a chromoprotein, which enables the visualization of the moving bacteria. We successfully demonstrated this concept for both PctA-Tar chimera and Histamine-Tar variant of the Rosetta software.
In video 2, the displacement of the bacteria can be clearly seen in the test chip (left chip, PctA-Tar with repellent), compared to the control chip (right chip, PctA-Tar with buffer).
In conclusion, we proved the concept of the FlashLab project, by demonstrating the color gradient being formed due to chemotaxis.
PctA-Tar chimera
We have successfully confirmed the functionality of the hybrid PctA-Tar receptor using a swarming assay. From the results seen below, figure 4, and compared to the negative control. it is clear that the chimera functions and controls the chemotactic ability of the bacteria and mediates to a swarming response. This is compared to the control where no swarming can be seen.
Fig. 4: Swarming assay for attractant response of the PctA-Tar chimera.
a. PctA chimera, b. Negative control- UU1250 strain w/o the Tar expression plasmid, c. positive control - ΔZ strain expressing all chemoreceptors.
PctA-Tar fused with GFP marker:
In addition, the correct localization of the chimera on both poles of the bacterial membrane, was demonstrated by fusing GFP to the C- terminus of the chimera with a short linker sequence (K1992010). The results of these tests as seen in figure 5, indeed show the expected localizations.
Trap and Track - Novel assay for digital chemotaxis detection
Although there is an abundant number of chemotaxis assays available
today, most of them were designed 40 to 50 years ago and almost
none provide a real time measurement without the use of fluorescence labeling.
The use of Porous Si (PSi) and oxidized PSi (PSiO2) matrices for biological
sensing is on the rise. So far various analytes such as DNA, proteins and
bacteria have been proven to be detectable on such matrices. The common
method to monitor the interaction of said analytes within the porous films
is reflective interferometric Fourier transform spectroscopy (RIFTS), as it
allows a real time measurement and output for the user.
We present the results of an early experiment for the detection of
chemotactic activity on the porous silicon films initially developed for bacterial detection.
This assay provides us with the means to digitally quantify chemotaxis -
meaning we have a clear distinction between an attractant response
(negative trend), repellent response (positive trend) and no response (zero trend).
The following graph presents only the chemotactic responses taken from 4
different experiments, The top 2 plots, in blue and in grey, represent a
repellent response. The yellow plot represents a negative control experiment
and the bottom red graph represents an attractant response.
For more information see our Measurement page.
References:
1. Moretti, R., Bender, B.J., Allison, B. and Meiler, J., 2016. Rosetta and the Design of Ligand Binding Sites. Computational Design of Ligand Binding Proteins, pp.47-62