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

A technology for rice bacterial blight and gene prediction, applied in biochemical equipment and methods, and microbial measurement/inspection, can solve the problems of untimely and inaccurate prediction of rice bacterial blight, and achieve avoidance of ambiguity, 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 forecasting of rice bacterial blight in the prior ar

Method used

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

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Embodiment

[0033] In the embodiment of the present invention, the 9311 rice variety is used as the test rice and the control rice, wherein the test rice refers to the rice that is planted under normal cultivation conditions in the field and needs to be monitored whether it is infected with bacterial blight; the control rice refers to the rice that has passed protective technology measures and bacterial blight control measures to ensure that it is healthy rice without bacterial blight infection. Except for protective cultivation measures and bacterial blight prevention and control measures, the cultivation conditions of the control rice and the tested rice are consistent. Sexual cultivation measures include soil isolation, water source isolation and space isolation.

[0034] Selection of seeds: The seeds of the tested rice and the seeds of the control rice were harvested from healthy 9311 rice plants, and there were no obvious symptoms of disease and insect damage on the surface of the see...

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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. [...

Claims

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Application Information

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IPC IPC(8): C12Q1/68
CPCC12Q1/6895C12Q2600/158C12Q2600/178
Inventor 冯涛李甜甜
Owner JIANGHAN UNIVERSITY
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