Welcome to Chinese Agricultural Science Bulletin,

Chinese Agricultural Science Bulletin ›› 2022, Vol. 38 ›› Issue (24): 86-91.doi: 10.11924/j.issn.1000-6850.casb2021-0961

Special Issue: 生物技术

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Application of Advanced Omics Technology in Plant Disease Resistance Research

CHEN Mingyue1(), JIANG Tao1, ZHAO Dongmei1, BAI Li1(), ZHANG Xueqi2, MENG Jiao1   

  1. 1College of Food Engineering, East University of Heilongjiang, Harbin 150086
    2College of Life Sciences, Heilongjiang University, Harbin 150080
  • Received:2021-10-12 Revised:2022-02-05 Online:2022-08-25 Published:2022-08-22
  • Contact: BAI Li E-mail:3429541873@qq.com;captainbl@126.com

Abstract:

In recent years, the frequent occurrence of plant diseases has seriously affected the production and development of China’s agriculture. In order to improve plant disease resistance, this paper summarized the application of genomics, transcriptomics, proteomics and metabonomics in plant disease resistance research. At the same time, it summarized the methods of breeding disease-resistant varieties, biological control and plant disease monitoring technology to reduce plant diseases, analyzed different plant disease resistance mechanisms at molecular level, and revealed the close relationship between related disease resistance genes and their growth and development. This paper pointed out the shortcomings of omics technology application in plant disease resistance. There are still some functional proteins with low abundance or low molecular weight that have not been identified. Some suggestions were put forward, such as improving the sensitivity of detection technology, and perfecting gene and metabolic database. The continuous development and innovation of omics technology has brought new opportunities for the prevention and control of plant diseases. It will be helpful for breeding resistant varieties, detection and control of pathogenic bacteria, and improvement of plant resistance, so as to promote plant growth and increase crop yield.

Key words: genomics, transcriptomics, proteomics, metabonomics, plant disease resistance

CLC Number: