Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

A method of mining drought resistance gene modules in plants

A gene and plant technology, applied in the field of plant drought-resistant gene module discovery, can solve problems such as limited function and inability to systematically understand the molecular mechanism of plant drought resistance, and achieve the effect of improving efficiency and accuracy

Active Publication Date: 2018-02-02
SHANGHAI JIAOTONG UNIV
View PDF1 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

For this reason, the functional analysis of a single or a few drought-resistance-related genes cannot systematically understand the molecular mechanism of plant drought-resistance, and the use of a single drought-resistance-related gene to genetically engineer crops has also been proven to have limited effects

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
  • A method of mining drought resistance gene modules in plants
  • A method of mining drought resistance gene modules in plants
  • A method of mining drought resistance gene modules in plants

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0019] Let's take the excavation of the rice drought resistance module as an example, refer to figure 1 , to specifically illustrate the specific implementation steps of the method for constructing a plant protein interaction network of the present invention.

[0020] Step 1. Collect gene interaction data from BioGRID, IntAct, DIP, MINT and STRING databases, separate rice gene interaction data, and establish corresponding databases.

[0021] Step 2, gene network module analysis. The clustering algorithm MCL of the Markov model was used to analyze the module of the gene network, and the selection of the inflation parameter of the algorithm was very critical for the functional module analysis of the gene network. The GeneOntology data was used to re-evaluate the functional similarity of genes under different inflation parameters, and it was determined that the inflation parameter was 1.8 to best reflect the biological significance of the module.

[0022] Step 3, download from ...

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

A method for mining drought-resistant gene modules in plants. The method is based on the gene interaction network, and uses the Markov clustering algorithm to conduct modular analysis on the gene interaction network, and uses gene chip and genome-wide association data to determine the drought-resistance effect of gene modules. to evaluate. According to the drought resistance contribution of each gene module, the key drought resistance gene modules were screened. Compared with existing methods, this method focuses on the discovery of new drought-resistant gene groups, which greatly improves the efficiency and accuracy of plant drought-resistant gene discovery.

Description

technical field [0001] The invention relates to biotechnology, in particular to a method for discovering plant drought-resistant gene modules. Background technique [0002] Plants will encounter a variety of natural environments during their growth, and some natural disasters, such as drought, waterlogging, and pests and diseases, often cause a large reduction in crop production. The damage caused by these environmental stresses to agricultural production is worldwide, especially the damage caused by drought is very serious, which can reduce crop yield by 50%-80%. Therefore, improving crop tolerance to drought and water shortage is one of the important goals of agricultural science and technology research. An important means at present is to use drought-resistance-related genes to genetically engineer crops to obtain new varieties of drought-resistant crops. [0003] The mechanism of plants adapting to drought environment is very complex, which is the result of the compreh...

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 Patents(China)
IPC IPC(8): G06F19/18G06F19/24
Inventor 张利达刘奕慧刘诗薇
Owner SHANGHAI JIAOTONG UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products