Method for predicting bacterial blight of rice by utilizing miRNA 1430 genes

A technology for rice bacterial blight and bacterial blight, which is applied in the direction of biochemical equipment and methods, and microbial measurement/inspection, can solve problems such as inaccuracy and untimely forecast of rice bacterial blight, and avoid ambiguity Sexuality, the effect of early prediction time

Active Publication Date: 2014-11-12
JIANGHAN UNIVERSITY
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0006] In order to solve the shortcomings of untimely and inaccurate prediction of rice bacterial blight in the prior

Method used

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  • Method for predicting bacterial blight of rice by utilizing miRNA 1430 genes
  • Method for predicting bacterial blight of rice by utilizing miRNA 1430 genes
  • Method for predicting bacterial blight of rice by utilizing miRNA 1430 genes

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Embodiment

[0033] In the embodiment of the present invention, the 9311 / Xa23 rice variety is used as the rice to be tested and the control rice, wherein the rice to be tested refers to the rice that is planted under normal cultivation conditions in the field and needs to be monitored for infection with bacterial blight; To ensure that it is a healthy rice without bacterial blight infection, except for the protective cultivation measures and the prevention and control of bacterial blight, the cultivation conditions of the control rice and the rice to be tested are consistent. , Protective cultivation measures include soil isolation, water source isolation and space isolation.

[0034] Selection of seeds: The seeds of the rice to be tested and the control rice were harvested from healthy 9311 / Xa23 rice plants, and there were no obvious symptoms of pest damage on the surface of the seeds. Among them, the 9311 / Xa23 rice variety is a rice variety formed by introducing the Xa23 gene into 9311 r...

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Abstract

The invention discloses a method for predicting bacterial blight of rice by utilizing miRNA 1430 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 miRNA1430 genes in the total miRNA genes in the rice to be detected and the control rice, wherein the sequences of the miRNA1430 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 miRNA1430 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 miRNA1430 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 and the infection is fast, and the rice fields with the disease will reduce production 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 pathogens have multiplied in large numbers, causing damage to the rice, and the control effect is poor. It can be seen that early forecasting is the key to the prevention of rice bacterial blight. [0003] The traditional rice bacterial blight forecast is mainly based on climate, weather, variety resistance, nitrogen fertilizer application, and dise...

Claims

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Application Information

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IPC IPC(8): C12Q1/68
CPCC12Q1/6895C12Q2600/158C12Q2600/178
Inventor 王沁张继彭海
Owner JIANGHAN UNIVERSITY
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