Method for rapidly identifying stevia rebaudiana leaf spot disease pathogenic bacteria

A technology of stevia leaves and pathogenic bacteria, which is applied in the directions of instruments, hybridization, sequence analysis, etc., can solve the problems affecting the economic output of stevia rebaudiana, agricultural production loss, plant leaf withering, etc., to improve detection efficiency and sensitivity, strong specificity, Simple operation effect

Inactive Publication Date: 2019-03-19
JIANGSU ACADEMY OF AGRICULTURAL SCIENCES
View PDF2 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In 2017, at the stevia production base in Fu'an Town, Dongtai City, Jiangsu Province, it was found that the leaves of stevia had different degrees of leaf spots, and the leaves of the severely affected plants all withered, which seriously affected the economic output of stevia
In recent years, the diseases of Stevia rebaudiana seedlings in the Hexi Corridor of Gansu Province have been increasing year by year. Damping-off, blight and leaf spot have become the three major diseases that are most likely to occur in the seedling raising stage, causing great losses to agricultural production.
Due to the universal distribution and extreme destructive characteristics of anthracnose bacteria, and there is no report on the biological identification of anthracnose bacteria causing stevia leaf spot in my country, it is urgent to invent a quick and easy method for treating sweet chrysanthemum. Method for accurate identification of Chrysanthemum leaf spot and other pathogens

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Method for rapidly identifying stevia rebaudiana leaf spot disease pathogenic bacteria
  • Method for rapidly identifying stevia rebaudiana leaf spot disease pathogenic bacteria
  • Method for rapidly identifying stevia rebaudiana leaf spot disease pathogenic bacteria

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0040] A method for rapidly identifying the pathogenic bacteria of stevia rebaudiana leaf spot, the steps are as follows:

[0041] (1) Isolation and purification of pathogenic bacteria

[0042]In July 2017, plants with diseased spots on leaves were collected from the Stevia production base in Fu’an Town, Dongtai City, Jiangsu Province. Disinfect the surface with 70% alcohol for 30 seconds, then treat it with 0.1% mercuric chloride for 2 minutes, and finally rinse it with sterile water for 3 times to remove the moisture on the leaf surface. On the PDA plate culture medium, cultivate in the dark at 25°C for 3 to 5 days, pick a small amount of mycelium from the edge of the newly grown colony and inoculate it on a new PDA plate for further separation and purification, and record the morphological characteristics of the colony;

[0043] Disease samples were collected from the stevia production base in Fu'an Town, Dongtai City, Jiangsu Province. Two strains of anthracnose bacteria ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a method for rapidly identifying stevia rebaudiana leaf spot disease pathogenic bacteria and application, and belongs to the technical field of phytopathogen separation and identification. The method for rapidly identifying stevia rebaudiana leaf spot disease pathogenic bacteria comprises the steps that development, evolution analysis, identification and purification of a morphological observation and molecular biological identification combination system are performed, and the species of the stevia rebaudiana leaf spot disease pathogenic bacteria subjected to pathogenicity identification is subjected to molecular biology identification and system development and evolution analysis as ITS, GAPDH and CHS-1 gene segments, and after homologous comparison, system development evolution trees for the ITS, GAPDH and CHS-1 gene segments are constructed respectively. The method for rapidly identifying stevia rebaudiana leaf spot disease pathogenic bacteria is rapid and convenient to implement, and identification errors caused by the inter-species close height are avoided; a foundation is laid for identifying, preventing and breeding the stevia rebaudiana leaf spot disease.

Description

technical field [0001] The invention belongs to the technical field of separation and identification of plant pathogenic bacteria, and in particular relates to a method and application for rapidly identifying the pathogen of stevia leaf spot. Background technique [0002] Stevia [Stevia rebaudiana (Bertoni)] is a perennial herb of the genus Stevia in the family Asteraceae. Stevia leaves are rich in flavonoids and steviol glycoside chemical components. Flavonoids have various pharmacological activities such as anti-tumor and anti-oxidation; steviol glycosides (steviol glycosides) is a new type of natural sweetener, which has the characteristics of high sweetness, low calorie, safety and non-toxicity, etc. Research and development hotspots in the field. In 2017, at the stevia production base in Fuan Town, Dongtai City, Jiangsu Province, it was found that there were different degrees of leaf spots on the leaves of stevia, and all the leaves of the severely affected plants wit...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G16B30/10G16B25/10
Inventor 崔晓霞郭书巧何晓兰束红梅巩元勇倪万潮
Owner JIANGSU ACADEMY OF AGRICULTURAL SCIENCES
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products