Our primary task in this phase is to construct the target plasmid, a crucial component of our drought response system. During this stage, we will precisely integrate the NCED3 promoter and the RUBY system into the plasmid to ensure the foundation of our system functions as expected.
Next, we will proceed with the transient transformation validation in tobacco plants. This involves the transformation of the constructed plasmid into Agrobacterium and subsequently using it to transiently transform tobacco plants. Subsequently, we will introduce simulated natural drought conditions and observe the color changes in the tobacco plant leaves. This experiment aims to demonstrate the effectiveness of our system in responding to drought.
Following the transient transformation validation in tobacco, we will continue with the stable transformation validation in Arabidopsis. Similar to previous steps, we will perform plasmid transformation and impose stress conditions on the Arabidopsis plants, closely observing their responses. This validation step aims to confirm the universality and stability of our system in different plant species.
These concept validation steps are critical to ensuring that our project progresses as planned and achieves its intended objectives. Through these validations, we will gain a better understanding of how our plant warning system functions in real-world applications and provides essential information about drought to farmers and plant scientists.
Preliminary experimental results indicate that this system exhibits noticeable color changes in plants, offering a promising tool for drought monitoring. It can assist farmers in monitoring plant drought conditions and taking timely actions such as watering to protect the plants. Furthermore, it can be used for ecosystem monitoring to track the health of vegetation in drought-prone regions. In plant growth management, this system can also be employed for researching plant adaptation mechanisms to drought.
One of the core components of our project is the construction of the target plasmid for the biotic stress response system. During this stage, we will ensure the precise integration of the GLR2.9 promoter and the Bx system into the plasmid, which is a crucial part of achieving plant yellowing in response to biotic stress.
In this step, we will conduct transient transformation validation in tobacco plants. Firstly, we will transform the constructed biotic stress response system plasmid into Agrobacterium, and then use these Agrobacteria to transiently transform tobacco plants. Subsequently, we will simulate biotic stress conditions, such as pathogen infection, and observe the color changes in tobacco plant leaves. This validation experiment aims to prove the effectiveness of our system in responding to biotic stress.
Following the transient transformation validation in tobacco, we will proceed with stable transformation validation in Arabidopsis. Similar to previous steps, we will perform plasmid transformation and expose the Arabidopsis plants to stress conditions while closely monitoring their responses. This validation step aims to confirm the universality and stability of our system in different plant species.
Preliminary experimental results indicate that this system exhibits the expected color changes in tobacco plants. It can be used to detect disease and pest infestations, providing early biotic stress warnings. In agriculture, this system can help farmers take timely measures to control crop diseases and pests, reducing losses. Additionally, the system emits green fluorescence under blue light, making it suitable for scientific research to gain deeper insights into plant responses to biotic stress.
In summary, these two systems provide innovative solutions for monitoring and responding to drought and biotic stress in plants. They are expected to play a significant role in agriculture, ecology, and biological research, offering powerful tools for improving crop yields, ecosystem protection, and plant studies. In the future, with further research and optimization, the application potential of these systems will expand even further.