Method for predicting bacterial blight of rice by utilizing miRNA 5794 genes

Abstract

The invention discloses a method for predicting bacterial blight of rice by utilizing miRNA 5794 genes, belonging to the technical field of biology. The method comprises the following steps: selecting rice to be detected and control rice, wherein the selected control rice is not infected with the bacterial blight but is cultivated with the rice to be detected under the same conditions; respectively separating total miRNA genes in the rice to be detected and the control rice; respectively detecting the expression quantities of the miRNA5794 genes in the total miRNA genes in the rice to be detected and the control rice, wherein the sequences of the miRNA5794 genes are shown in SEQ ID NO:1 in a sequence table; and judging whether the experiments are successful according to the expression quantities of the miRNA5794 genes in the rice to be detected and the control rice and further judging whether a plant to be detected is infected with the bacterial blight if the experiments are successful. The prediction method disclosed by the invention achieves success, can achieve accurate prediction a few days before the bacterial blight of rice appears and has the effects of gaining time for early prevention and treatment and reducing the rice loss caused by the bacterial blight.

Description

technical field [0001] The invention relates to the field of biotechnology, in particular to a method for predicting rice bacterial blight by using miRNA5794 gene. Background technique [0002] Rice is the main food crop in my country. Bacterial blight is one of the two major diseases of rice. It is a worldwide disease, especially in Asian rice regions. The incidence of bacterial blight is high, the infection is fast, and the rice field with the disease is reduced by 20-30%, or even 50%. Like most diseases, the early control effect of bacterial blight is better. In the middle and late stages of the disease, the bacteria have multiplied in large numbers, which has caused damage to the rice, and the control effect is poor. It can be seen that early forecasting is the key to rice bacterial blight prevention. [0003] Traditional rice bacterial blight prediction is mainly based on climate, weather, variety resistance, nitrogen fertilizer application, and disease history. [...

AI Technical Summary

Problems solved by technology

[0006] In order to solve the shortcomings of untimely and inaccurate forecasting of rice bacterial blight in the prior art, the embodiment of the present invention provides a method for predicting rice bacterial blight using the miRNA5794 gene

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