A method for early and accurate prediction of rice bacterial blight by using mirna162b gene

Abstract

The invention discloses a method for early and accurate prediction of rice bacterial blight by using miRNA162b gene, and belongs to the field of biotechnology. The method comprises the following steps: selecting the rice to be tested and the control rice, wherein the selected control rice is not infected with bacterial blight but cultivated under the same conditions as the rice to be tested; isolating the rice to be tested and the rice to be tested respectively The total miRNA gene in the control rice; respectively detect the expression level of the miRNA162b gene in the total miRNA gene in the rice to be tested and the control rice, the sequence of the miRNA162b gene is as SEQ? ID? Shown in NO: 1; According to the expression levels of the miRNA162b gene in the rice to be tested and the control rice, judge whether the experiment is successful, and if successful, further determine whether the plant to be tested is infected with bacterial blight. The prediction method provided by the invention is successful, and can realize accurate forecast several days before the rice bacterial blight occurs, gaining time for early prevention and early treatment, and reducing the loss caused by the bacterial blight to rice.

Description

Technical field [0001] The invention relates to the field of biotechnology, in particular to a method for early and accurate prediction of rice bacterial blight by using miRNA162b gene. Background technique [0002] Rice is the main food crop in my country. Bacterial blight is one of the two main diseases of rice. It is a worldwide disease, especially in Asian rice regions. Bacterial blight has a high incidence and rapid transmission, and the yield of the diseased rice field is reduced by 20-30%, 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 and have caused damage to the rice. The control effect is poor. This shows that early prediction is the key to the prevention of rice bacterial blight. [0003] Traditional rice bacterial blight forecasting is mainly based on the climate, weather, variety resistance, nitrogen fertilizer application, and disease ...

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 early and accurate prediction of rice bacterial blight using miRNA162b gene

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