Method for forecasting bacterial leaf blight of paddy rice by utilizing miRNA172b gene

A technology for rice bacterial blight and bacterial blight, which is applied in the directions of biochemical equipment and methods, microbial determination/inspection, etc., can solve problems such as inaccuracy and untimely forecast of rice bacterial blight, and avoid ambiguity. Sex, the effect of predicting early effects

Active Publication Date: 2014-11-05
JIANGHAN UNIVERSITY
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  • Summary
  • 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 art, the...

Method used

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  • Method for forecasting bacterial leaf blight of paddy rice by utilizing miRNA172b gene
  • Method for forecasting bacterial leaf blight of paddy rice by utilizing miRNA172b gene
  • Method for forecasting bacterial leaf blight of paddy rice by utilizing miRNA172b gene

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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 forecasting bacterial leaf blight of paddy rice by utilizing miRNA172b gene, and belongs to the technical field of biology. The method comprises the following steps: selecting to-be tested paddy rice and control paddy rice, wherein the selected control paddy rice is paddy rice which is not infected by bacterial leaf blight and is cultivated under same conditions with the to-be tested paddy rice; respectively separating total miRNA gene of the to-be tested paddy rice and the control paddy rice; respectively detecting the expression level of miRNA172b gene in the total miRNA gene of the to-be tested paddy rice and the control paddy rice, wherein the sequence of the miRNA172b gene is shown as SEQ ID NO: 1; and determining whether the experiment is successful according to the expression level of miRNA172b gene in the to-be tested paddy rice and the control paddy rice, if successful, further determining whether the to-be tested plant is infected by bacterial leaf blight. The provided prediction method is successful, is capable of accurately performing forecast several days before paddy rice has symptoms of bacterial leaf blight, wins time for early prevention and early controlling, and helps to reduce loss of paddy rice caused by bacterial leaf 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 the expression of miRNA172b 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 dis...

Claims

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Application Information

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IPC IPC(8): C12Q1/68
CPCC12Q1/6895C12Q2600/158C12Q2600/178
Inventor 覃芸方治伟
Owner JIANGHAN UNIVERSITY
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