Team:SSHS-Shenzhen/Model

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Model

Abstract

Our model is formalized by the Differential Equation: (Logistic Regression)

The Logistic Regression (or the Logistic Model) is a model that is greatly practiced in the field of epidemics. In this case, we chose this model to figure out the relationship between GC content and RNAi efficiency. Instead of guessing a linear function between the two, the Logistic Model helps us to develop a better understanding of this critical parameter which isn't backed by scientific theories.

Assumptions

The model works under the below assumptions:

1. Births and natural deaths are neglected
2. The beetles cannot recover either by itself or with the help of the leaves
3. Other factors do not change throughout the experiment

Parameters

Parameters	Meaning
D(t)	Number of deaths
η	RNAi efficiency
α	GC content

Experiments

Day 1

1. Put Phyllotreta striolata Fabricius in bottles(20/bottle)
2. Made spray and spray it on the leaves
3. Put leaves into the bottel

Day 2

1. Clean out the leaves from the day before
2. Configure new shRNA spray(1µL/mL)
3. Replace each bottle with 2 leaves soaked in the corresponding reagent
4. Clean out the test bench.

Day 3

1. Make new spray(1µL/mL). Spray the spray on new leaves
2. Take out the old leaves and replace them with new leaves
3. Pick out the dead Phyllotreta striolata Fabricius and put them in tubes

Day 4

1. Make new spray(1µL/mL) and spray it on new leaves
2. Take out the old leaves and replace them with new leaves
3. Pick out the dead Phyllotreta striolata Fabricius and put them in tubes

Results

Raw data from the experiments