Joanna0405 (Talk | contribs) |
|||
Line 321: | Line 321: | ||
<img src="https://static.igem.org/mediawiki/2016/4/4c/T--HZAU-China--design-fig2.png" width="700px"> | <img src="https://static.igem.org/mediawiki/2016/4/4c/T--HZAU-China--design-fig2.png" width="700px"> | ||
<p style="text-align:center"> Figure 2. “Traffic Light Circuit”.</p><br/> | <p style="text-align:center"> Figure 2. “Traffic Light Circuit”.</p><br/> | ||
− | <p>This season, we constructed a gene circuit which could control motility of Escherichia coli via green and red light. To make it simple, green light makes bacteria to move and red light makes it stop, exactly like the traffic light.</p> | + | <p>This season, we constructed a gene circuit which could control motility of<i> Escherichia coli</i> via green and red light. To make it simple, green light makes bacteria to move and red light makes it stop, exactly like the traffic light.</p> |
<p>In bacteria, when green light is on, CcaS-CcaR light-switchable TCS is phosphorylated, activating promoter PcpcG2 and the subsequent expression of PleD. PleD turns GTP into c-di-GMP, which in turn switch on riboswitch and facilitates the expression of cheZ, an important protein that makes the bacteria swim, which is the manifestation of motility.</p> | <p>In bacteria, when green light is on, CcaS-CcaR light-switchable TCS is phosphorylated, activating promoter PcpcG2 and the subsequent expression of PleD. PleD turns GTP into c-di-GMP, which in turn switch on riboswitch and facilitates the expression of cheZ, an important protein that makes the bacteria swim, which is the manifestation of motility.</p> | ||
<p>When red light is on, bacteria stops swimming, followed by the inhibition of signal pathway.</p> | <p>When red light is on, bacteria stops swimming, followed by the inhibition of signal pathway.</p> |
Revision as of 20:20, 19 October 2016
Overall Design
What is life? What is reality? The image that device like phone and computer presents is virtual, while real substance like our hand is reality. Referring to the situation of human based interaction with virtual world, we would prefer calling it augmented reality than virtual reality. When we print a file on a paper, it’s a reality-based process. Inputting the content through virtual Office software like Word, then transferring it to an actual paper with the help of a printer, an augmented reality system has been established, consisting of human, computer and printer. This system serves reality in purpose.
Figure 1. Overall Design Circuit.
In the AR system we forge, the bacteria and the computer form an augmented reality system. Through this system, we are able to regulate the status of bacterial growth and lead them toward a specific growing goal. There are some rules that bacteria obey when they grow in reality, which are described as function f(x1) where X1 refers to the external signal input, in other words, the preset pattern. In the computer, f(x1) is transferred into rule g(x2) where x2 refers to the input signal the computer receives, to be specific, the growing state of bacteria that the camera captures in the system. When these two elements interact with each other, f(x1) can be seen as x2, becoming the input signal of g(x2). Similarly, g(x2) can be seen as x1, the input signal of f(x1).
As a consequence of the overall interaction between the two elements, the kinetics of f(x1) belongs to target dynamics k(t), which means it can produce the pattern of real-time control over cell growth and motility. The consequence of dynamics will achieve certain goal, which is to guide the bacteria growth by projecting given wavelength of light to the surface of bacterial cultural medium as a feedback from the computer analysis. At present stage, we take growth and diffusion law of bacteria as primitive function f(x1), and computer regulation as virtual function g(x2). The combination of them makes it possible for the bacteria community to grow towards particular shape.
2. Design on genetic circuit
Figure 2. “Traffic Light Circuit”.
This season, we constructed a gene circuit which could control motility of Escherichia coli via green and red light. To make it simple, green light makes bacteria to move and red light makes it stop, exactly like the traffic light.
In bacteria, when green light is on, CcaS-CcaR light-switchable TCS is phosphorylated, activating promoter PcpcG2 and the subsequent expression of PleD. PleD turns GTP into c-di-GMP, which in turn switch on riboswitch and facilitates the expression of cheZ, an important protein that makes the bacteria swim, which is the manifestation of motility.
When red light is on, bacteria stops swimming, followed by the inhibition of signal pathway.
2.1 Light sensing part
For the light sensing part, we utilized CcaS/CcaR light switchable two-component signal transduction system as the “eye” for the bacteria to perceive the real-time environment that the computer provides in our AR system from time to time[1]. The light sensor consists of two parts, PCB and ccaS-ccaR-cpcG2 pathway. CcaS is a histidine kinase (SK) with a N-terminal PCB-binding cyanobacteriochrome GAF domain and a C-terminal histidine kinase domain. This hybrid SK autocatalytically ligates the requisite chromophore phycocyanobilin (PCB) at a conserved cysteine within the GAF subdomain. PCB is produced from heme by coexpression of heme oxygenase 1 (ho1) and phycocyanobilin reductase (pcyA).
Figure 3.
CcaS is produced in a green-absorbing ground state, termed Pg. Absorption of green light flips CcaS to a kinase-active red-absorbing state (Pr) that phosphorylates the response regulator CcaR, which then binds to the G-box operator within cpcG2 promoter and activates transcription. Absorption of red light switches CcaS Pr back to Pg, which dephosphorylates P-CcaR, deactivating transcription. If we change the output gene to cheZ, then the motility of the bacteria will be light-induced. If we replace the output gene to pleD and tandem riboswitch, then whether the riboswitch is on will be determined by light.
Figure 4. CcaS/CcaR TCS.
In our project, refactoring and optimization on light switchable system has been made to characterize and control synthetic gene circuits with exceptional quantitative, temporal, and spatial precision. Our work includes redesign of promoter PcpcG2, removing redundant CcaS in plasmid pSR43.6, inactivation of chromosomal gene EnvZ in CL1 strain, and adding riboswitch to the circuit.
-
It is direct and convenient to operate light-dependent control over gene expression. Among the great variety of light-switchable systems, cyanobacteria-derived CcaS/CcaR system is preponderant for the following reasons.
Initially, CcaS/CcaR optogenetic system dramatically increases the degree of control of biological processes because the distinction between red and green light can be delivered to live cells with exacting precision in the wavelength, intensity, temporal, and spatial dimensions.
Besides, because most light-switchable proteins respond to light intensity at low level, and E.coli do not show major physiological responses to green or red light, CcaS/CcaR system have minimal off-pathway effects.
Eventually, even inexpensive LEDs are sufficient to create distinguishable and quantitatively precise optical input red and green signals.
In this research, promoter cpcG2 plays a great role. It is a messenger which not only is responsible for receiving upstream signal through light sensing pathway mentioned above, but also determines the expression of output gene. However, the system experiences quite a lot of leakiness. The fluorescent level appears to be unexpectedly high when bacteria are cultured in darkness with the output reporter gene sfGFP. Since the motility of bacteria is extremely sensitive to the concentration of cheZ, we tried different methods to optimize the system in order to solve this tricky problem and command the bacteria to swim or stop according to real-time situation. By truncating a hypothetical constitutive promoter within the 238bp full length cpcG2 promoter, an optimized promoter with reduced leakiness and increased dynamic range has been refactored. The disparity of fluorescent level under green or red illumination becomes more apparent due to lower leakiness and higher specificity.
Moreover, redundant CcaS in plasmid pSR43.6 has been knocked-out, resulting in lower metabolic pressure and faster growing rate in bacteria.
(Find out detail in Wet Lab)
2.2 Bacterial motility
For the guidance on bacterial motility, we regulated cheZ gene expression in E. coli CL-1 whose cheZ in chromosome was knocked out previously. (2)
Bacterial chemotaxis, the most well-studied model system for signal transduction in E.coli, has been extensively studied for several decades. Flagella rotation is partially controlled by some chemotaxis protein, e.g CheA, CheZ and CheY among which CheA serves as a sensor factor, CheZ as a regulating factor and CheY as an executor factor which directly interacts with flagella rotation protein assembly fliMNG.
How does CheZ control motility? The motility of bacteria can be divided into two phases ignoring some unnecessary factors. One is called swimming phase in which bacteria will move forward while the other one is called tumbling phase when bacteria keep changing directions and behave like tumbling at its ground. The two phases above are determined by the phosphorylation degree of CheY. And the phosphorylation degree of CheY is affected by CheZ.
According to this, we choose CheZ to be our target protein to control bacterial motility.
-
Figure 5.
The motility of certain bacteria like E.coli MG1655 is caused by flagella rotation. The direction of flagella rotation will determine whether a bacterium will swim forward or tumble around.
Flagella will spread when they rotate clockwise, causing cells to tumble. On the contrary, the counterclockwise rotation will gather many thin flagella into one strong “whip” leading cells to swim forward. In a natural culture condition, the above two phases happened in two different possibilities resulting in what we call chemotaxis ,like when swimming towards a repellent, the possibility of tumbling increases and swimming decreases, leading bacteria to move away from the repellent in a macro-view. During the process, the ratio of CheY and CheY-p(phosphorylation CheY protein) is pivotal to the flagella rotation switch. CheY-p can bind to the flagellar motor switch protein assembly, FliMNG, which will interact with MotA and MotB. These two proteins make up the stator of bacterial flagellum and control the motor's rotation, whose energy is supported by the power of protons' flux.
CheZ can modulate motility by dephosphorylating CheY-p, which will decrease the concentration of CheY-p, while CheA will phosphorylate CheY which will increase the concentration of CheY-p.
So according to the principle introduced above, by changing the concentration of CheZ and CheY, we can control the chemotaxis or motility of bacteria to achieve our goal of pattern formation.
(Find out detail in Wet Lab )
2.3 Chassis integration
We choose CL1 strain bacteria to be the main character in our AR system. CL1 (MG1655△cheZ) is a type of K12 Escherichia coli whose cheZ gene in chromosome has been deleted previously.
Possessing the characteristic of a non-motile phenotype, it is frequently been used to study the motility of bacteria. When both the light-switchable TCS and cheZ generator are incorporated in CL1, the bacteria can show a light induced motile phenotype. However, the inactivation of a EnvZ has to be done for the sake of solving severe leakiness and optimizing the system as a whole.
EnvZ is a type of histidine kinase which serves the same function as CcaS. So the deletion of EnvZ in CL1 strain inevitably leads to lower leakiness. We constructed SBSP (CL1△EnvZ)with the help of λ Red homologous recombination system.
(Find out detail in Wet Lab )
2.4 Riboswitch
However, the light sensing system is not stable for two factors at least. One of the factors is that the light-activated promotor has a leaked expression, and the environment factors such as white light effect gene expression (see the results of light-switch part). So it is a tough nut to control the gene-regulated characteristics in a cell, especially for gene that is highly effective under low concentration, for example, cheZ.
Fortunately, we find a powerful tool for filtering the noise caused by leakage and environment. The filter is constructed by three key parts, pleD, constitutive promoter and tandem riboswitches.
Leaked expression of pleD would up regulate the concentration of c-di-GMP by transferring GTP into c-di-GMP, an aptamer binding chemical molecule which could turn on the riboswitch.
Nevertheless, the riboswitch can only be opened when the concentration of c-di-GMP reaches certain threshold value. Various combinations of tandem riboswitches have different thresholds on the concentration of c-di-GMP. Hence, it is feasible to enable the corresponding threshold value of the powerful switch to be regulated easily by inserting different combinations of tandem riboswitches between constitutive promotor (eg. J23110 ) and reporter gene, such as sfgfp. That is to say, leaked expression can be eliminated if we place a combination of tandem riboswitches whose threshold value is overwhelmingly high. It is a vigoroso tool to tightly control the expression of gene.
-
Riboswitches are versatile devices for synthetic biology applications. They are RNA-based gene expression regulatory elements, composed of a ligand-sensing aptamer domain followed by an overlapping expression platform. Mechanisms of modulation of gene expression are highly divergent in prokaryotes and involve control of transcription, translation, splicing, and mRNA stability.(3)
In recent years great effort has been done in designing synthetic riboswitches that can bind definite ligands and regulate any steps in gene expression of interest. In our project, we used transcriptional anti-termination riboswitches (bc3, bc4, bc5, and their tandem forms)(4) to regulate gene cheZ which can control motility of Escherichia coli. The riboswitch is equipped with the secondary structure of terminators when there isn’t a ligand c-di-GMP binding. And just as the secondary structure of terminator would be broken under certain circumstances, the RNA polymerase could continue to transcribe when aptamer domain combines with c-di-GMP.
There are three possible characteristics that might be advantageous for gene control by independent tandem riboswitches that sense the same ligand.
First, the riboswitches might increase the dynamic range of gene expression. For example, if each riboswitch has a 0.9 probability of terminating transcription when bound to ligand, then the presence of only one riboswitch in an mRNA would allow ~10-fold change in gene expression. But the combined action of two same riboswitches in a single mRNA would allow ~100-fold change in gene expression ( assumption: natural gene expression=1, one riboswitch exist=0.1, two riboswitch= 1-(0.92+2*0.9*0.1) ).
Second, the tandem arrangement of independent riboswitches will produce a genetic switch that requires a lower ligand concentration to trigger gene control. And it would be unusual for tandem riboswitches to be used to achieve this goal instead of acquiring mutations that would improve ligand affinity.
A third characteristic that is inherent to independently functioning tandem riboswitches with similar KD values is an increase in the digital character of the genetic switch. The overall level of gene modulation is a function of the probabilities of the riboswitches acting as concentrations of metabolite increase.
In our system, tandem riboswitch is a convenient way to achieve an efficient stop of transcription of downstream cheZ.(5)
(Find out detail in Wet Lab )
Figure 5. Schematic of riboswitches.
Comparison of Bc3, Bc4, Bc5 terminators. Red rectangle shows the GC rich region of three terminators, respectively. (b) Secondary structure comparisons of Bc3, Bc4 and Bc5 aptamers with Vc2 aptamer. Conserved motifs such as tetra-loop (blue motif in stem P2), tetra-loop receptor (green motif in stem P3) and G·C base pair (C base in stem P2 and G base in stem P3 were drawn in magenta) connecting P2 with P3 were all colored to facilitate comparison.
c-di-GMP was drawn in cyan and its interacting bases drawn in red.(Zhou et al., 2016) (c) Multiply local sequence blast of riboswitches’ terminators. Blue rectangle shows U region of riboswitches
3. Software:
We designed two visualized software based on the principle of reaction-diffusion model and cellular automata model, so that synthetic biologists will have better understanding on the process of bacterial motility and bio-pattern formation. In the software, operators are free to simulate the process of bio-pattern formation by regulating the factors that affect bacterial growth and diffusion.
Features:
User-friendly interface
Based on two distinct models (reaction-diffusion model and cellular automata model)
Multiplatform (Python, Matlab)
Parameter-regulable, convenient for sensitivity analysis
4. Hardware
Our AR system not only simulates an environment, but will be extensively applied in medical field and daily life in the near future. With the rapid development of biological material, how to process material into desired figure will become a hotspot in field of material research. Our device provides new sparkling idea on bio-material printing---optical control---“Print the cells on cultural medium”, just as the way laser beam printer work.
In the field of regeneration of organ and tissue, although dramatic progress has been made in in vitro cell and tissue culture, it is still a tremendous challenge to generate induced tissue with complex multiple-layer structure, such as blood vessel. Light is endowed with the characteristics of precision and controllability. Considering the success made in optogenetics, genetically-engineered stem cells possess the ability to perceive distinctive illumination. Therefore, single cell can be accurately regulated by distinct wavelength and intensity of light, Differentiation occurs directionally as we preset and further perplex tissue or organ comes into being.
Two versions of devices are designed to quantify the effect of light-switchable TCS. V1.0 is a roughly handmade one device which can achieve the goal to provide different wavelength of light and fixation of centrifugal tube where bacteria are cultured. In v2.0, based on the platform exploited by Gerhardt (Gerhardt, Olson et al. 2016), we construct the hardware device that is able to precisely regulate the optogenetic circuit of the engineered bacteria utilizing 3D printing technology. This device successfully averts the interference of external light from the outside environment. Meanwhile, with the equipment of Single Chip Microcomputer (SCM), precise regulation on the intensity and wavelength of light can be accomplished. In summary, v2.0 eliminates the interference from ambient environment to the best extent when doing quantitative experiment of light-switchable system, thus improving the reliability and repeatablility of experimental result.
FEATURES:
1.compatibility with a wide range of optogenetics and photobiology experiments and model organisms
2.low device and consumable costs
3.high scalability and throughput
4.accessibility by laboratories without hardware expertise.
To control the bio-pattern formation of bacteria, we designed a device of industrial level. This device is capable of providing constant temperature and sterile environment that is suitable for bacterial growth. Besides, this device is also responsible for real-time monitoring of bacterial growth, light control over pattern formation, and projecting function. We programmed the software that is in line with the industrial level hardware device. When operator enters the pattern they want to form, the software controls the bacterial lawn to grow as preset pattern through real-time monitoring of status of bacterial growth(6), predict future growing tendency and export the optical pattern to the bacteria as feedback.
FEATURES:
1.Huge bulk
2.Sterilizing function
3.Real-time picture capturing
4.Precise light projecting
5.Temperature controlling and measuring
6.Real-time communication between computer and bacteria
Reference
1. J. J. Tabor, A. Levskaya, C. A. Voigt, Multichromatic control of gene expression in Escherichia coli. J Mol Biol 405, 315-324 (2011).
2. C. Liu et al., Sequential establishment of stripe patterns in an expanding cell population. Science 334, 238-241 (2011).
3. M. Wachsmuth, S. Findeiß, N. Weissheimer, P. F. Stadler, M. Mörl, De novo design of a synthetic riboswitch that regulates transcription termination. Nucleic Acids Research 41, 2541-2551 (2012).
4. H. Zhou et al., Characterization of a natural triple-tandem c-di-GMP riboswitch and application of the riboswitch-based dual-fluorescence reporter. Sci Rep 6, 20871 (2016).
5. M. Wachsmuth et al., Design criteria for synthetic riboswitches acting on transcription. RNA Biol 12, 221-231 (2015).
6. J. J. Tabor et al., A synthetic genetic edge detection program. Cell 137, 1272-1281 (2009).
7. K. Gerhardt et al., An open-hardware platform for optogenetics and photobiology. bioRxiv, 055053 (2016).