Engineering



Introduction

Our goal in this project is to establish a strategy to respond to a pandemic caused by drug-resistant bacteria. To achieve this goal, we focused on gRNA construction by using a tool called CRISPR Multi Targeter. In engineering, we have summarized our activities from project planning to the achievement of our goals in four cycles.



Cycle1: Project Planning

Design

Today, antibiotics are used as a countermeasure against drug-resistant bacteria, but the production of one mutant after another in response to these drugs has become a problem. Therefore, we considered the development of phage drugs with Cas9 to approach the problem at the gene level. The use of phage drugs can prevent horizontal transmission of drug resistance genes at the same time that they lyse.


Build

It was unclear whether the development of phage drugs was feasible in Japan, so we decided to hear professional stories from people working in phage medicine. In addition, we interviewed physician's familiar with infectious diseases to better understand the reality of the drug-resistant bacteria problem.


Test

To resolve this issue, we interviewed experts.


As a result, we learned the following.

The emergence of antibiotic resistant bacteria and the development of antibiotics is a constant battle.

The use of antibiotics causes the growth of antibiotic resistant bacteria species and mutants. Therefore, we learned that we need means that can respond immediately to mutants.


Learn

From this interview, we have found that phage therapy is not an appropriate response to antibiotic resistant bacteria. Thus, we decided to aim for a means to respond immediately to new mutants.




Cycle2: Application of CRISPR Multi Targeter
~Development of PAM ConAligner~

Design

Through Cycle1, we have learned that we should develop tools to deal with a wide range of mutants and quickly. In the search for new ways to use Cas9, we discovered a tool called CRISPR Multi Targeter, which is possible to find common arrays from multiple arrays. Therefore, we attempted to design gRNAs that recognize multiple genes by using this tool.


Build

Multi Targeter only works if all input sequences have a common sequence. In other words, when you input 7 sequences, what Multi Targeter checks is whether all 7 sequences have a common sequence or not. For example, even if it is possible to design a gRNA that can cut 5 out of 7 gRNAs, the Multi Targeter will not output the gRNA sequence.So, we developed a new software that solves these problem.(See Figure2-1 in Solution)


Test

We have evolved the Multi Targeter that recognizes sequences common to all sequences and presents gRNA, developed a software called PAM ConAligner. This software can design gRNAs that cut some common sequences from the whole sequences.

Figure2-1. Differences between Multi Targeter and PAM ConAligner

Figure2-1. Differences between Multi Targeter and PAM ConAligner


Figure2-2. testing with PAM ConAligner

Figure2-2. testing with PAM ConAligner

Learn

When you want to know the gRNA that can cleave some sequences from the input sequence, Multi Targeter is too inefficient as it can only design gRNAs when all input sequeces have a common sequence.

However, the development of PAM ConAligner has made it possible to efficiently design gRNAs in such cases. This software is expected to make it easier and faster to design effective gRNAs for a wide range of mutants.





Cycle3: Application of CRISPR Multi Targeter
~Considering whether sequences are evolutionarily conserved~

Design

In Cycle 2, we developed PAM ConAligner. Next, we designed gRNA by using PAM ConAligner to connect this software to social implementation.


Build

In the initial version of PAM ConAligner, we tried to construct a phylogenetic tree using aligned sequences and assess the evolutionary conservation of the sequences utilized for gRNA design.
In general, creating a gRNA by searching for a common sequence across multiple sequences in the same genus means identifying an evolutionarily conserved region within the genus.
However, we wanted to clarify that reveal evolutionarily conserved regions and select the best gRNAs by another method as well.


Test

Thus we introduced the Distance Matrix to reveal that it is more evolutionarily conserved. We focused on the evolutionary distance, which is calculated by the Unweighted Pair Group Method using arithmetic Average; (UPGMA). By using this as an indicator, we measured whether a group of sequences recognized by the gRNAs were derived from a common sequence.

Figure3-1. Differences between Multi Targeter and PAM ConAligner

Figure3-1. distance matrix

distance matrix is a measure of sequence differences.
It is an array of evolved distances that correspond to sequence pairs as shown in Figure 3-1.
The calculation was done using Build gather_subs_local_homology_module.py.


Figure3-2. Compare average of distance matrix

Figure3-2. Compare average of distance matrix

Learn

When you want to know the gRNA that can cleave some sequences from the input sequence, Multi Targeter is too inefficient as it can only design gRNAs when all input sequences have a common sequence.
However, the development of PAM ConAligner has made it possible to efficiently design gRNAs in such cases. In addition, PAM ConAligner can reveal evolutionarily conserved regions by two means, providing a more suitable gRNA design.
This software is expected to make it easier and faster to design effective gRNAs for a wide range of mutants.



Cycle4: Building a system that makes effective use of Multi Targeter

Design

To make the use of Multi Targeter closer to social implementation, we attempted to construct a system for actual use of gRNAs designed in Cycle 2.


Build

If one Cas9 plasmid is designed with the gRNA corresponding to the mutation, Cas9 must be redesigned each time the gRNA sequence changes. This method takes a long time to respond to mutations. Therefore, we designed the compatible Cas9 plasmid to allow easy introduction of various gRNAs.


Test

First, we designed a Cas9 plasmid that can easily insert various gRNA. In this plasmid, nine DNA fragments were introduced by Gibson Assembly into the backbone Cas9 plasmid. In addition, all DNA fragments and backbone Cas9 plasmid were prepared from plasmids from the iGEM Kit plate. *Figure4-1 Next, gRNA was introduced by Golden Gate assembly using Bbs1 and T4 ligase. *Figure4-2

grna-is-introduced



Learn

This trial allowed us to build systems for effective utilization of gRNA designed with the Multi Targeter. A series of systems were constructed by creating compatible Cas9 plasmids, determining model genes, designing gRNAs, enzymatic processing, and completing Cas9 with gRNA.

grna-is-introduced

Figure4-3. Engineering success



Future work

To establish a more plausible system, we need to confirm the expression and activity of the Cas9 protein in the gRNACasPlasmid that we constructed in addition to our test. For this purpose, we will perform tests to confirm whether the AmpR fragment can be cleaved in vitro, and trials to confirm protein expression by SDS-PAGE. Once it is confirmed that the Cas9 plasmid constructed by these trials is normally expressed and works normally, we will confirm the action of the Cas9 plasmid in vivo. We believe that this trial can proceed with the following trials.

Using BBa_J435300 and the Cas9 plasmid, we perform a transformation. We culture the Escherichia coli in media with IPTG added and media without IPTG added, comparing the colony numbers. (Both media were supplemented with Amp and Cm.) If Cas9 is functioning properly, it can be expected that the colony count in the medium with IPTG added will be less than in the medium without IPTG added. Therefore, if the colony count in the IPTG-added medium decreases compared to the colony count in the medium without IPTG, it can be concluded that the Cas9 has effectively cleaved the AmpR gene (drug resistance gene) in E. coli, and the experiment is successful.


Subsequently, we conducted additional experiments to verify the impact of Cas protein expression on colony formation. We compared the colony numbers of those where Cas protein acting on BBa_J435300 was expressed and those where Cas protein not acting was expressed. The Cas used in the previous experiment is the same as the one used. The non-acting Cas uses a plasmid with the mCherry region unchanged.
We performed a transformation using each Cas plasmid and BBa_J435300, and cultured them in media supplemented with Amp, Cm, and IPTG. This allows Cas protein to be expressed under both conditions. If Cas protein expression does not affect colony formation, it can be expected that colonies will form equally in both media. Therefore, if the number of colonies in the medium with the Cas protein acting on BBa_J435300 decreases compared to the medium with the non-acting Cas protein, it can be concluded that Cas protein expression does not impact colony formation, and the reduction in colony count is due to the action of Cas.




iGEM_Gifu_2023