生物技术通报 ›› 2020, Vol. 36 ›› Issue (12): 146-154.doi: 10.13560/j.cnki.biotech.bull.1985.2020-0207

• 综述与专论 • 上一篇    下一篇

宏基因组学在植物病害研究中的应用

汪盼盼(), 杨野, 刘迪秋, 崔秀明, 刘源()   

  1. 昆明理工大学生命科学与技术学院 云南省三七资源可持续发展利用重点实验室 国家中医药管理局三七资源可持续发展利用重点研究室 昆明市道地药材可持续发展利用重点实验室,昆明 650500
  • 收稿日期:2020-03-03 出版日期:2020-12-26 发布日期:2020-12-22
  • 作者简介:汪盼盼,女,硕士研究生,研究方向:宏基因组学;E-mail:945179704@qq.com
  • 基金资助:
    国家自然科学基金项目(31960134);云南省重大科技专项计划(2017ZF001)

Application of Metagenomics in Plant Diseases Research

WANG Pan-pan(), YANG Ye, LIU Di-qiu, CUI Xiu-ming, LIU Yuan()   

  1. College of Life Science and Technology,Kunming University of Science and Technology,Key laboratory of Sustainable Development and Utilization of Panax notoginseng Resources in Yunnan Province,State Administration of Traditional Chinese Medicine Key Research Lab of Sustainable Development and Utilization of Panax notoginseng Resources,Kunming Key Laboratory of Sustainable Development and Utilization of Authentic Medicinal Materials,Kunming 650500
  • Received:2020-03-03 Published:2020-12-26 Online:2020-12-22

摘要:

随着测序技术的不断发展,宏基因组学已成为当前研究热点,是研究植物病害的重要手段之一。植物病害影响了植物的正常生长和发育,甚至导致植物死亡。大部分植物病害是由致病微生物或病毒引起。与传统微生物组研究方法相比,宏基因组可通过高通量测序和后续的生物信息学分析,探明样品中的物种组成和功能基因,研究物种多样性。总结并比较了当前宏基因组学的分析策略以及在植物根际微生物和植物病毒研究中的应用,并对今后的发展趋势进行了展望,以期为宏基因组学在植物病害的相关研究中提供方法上的参考。

关键词: 宏基因组学, 高通量测序, 生物信息学, 植物病害

Abstract:

With the continuous development of sequencing technology,metagenomics has become a current research hotspot and is one of the important approaches of studying plant diseases. Plant disease affects plant normal growth and development,even leads to the death of a plant. Most plant diseases result from pathogenic microorganisms or viruses. In contrast to traditional research methods on microbes,metagenomics can be used to investigate species composition and functional genes in samples by high-throughput sequencing and subsequent bioinformatics analysis,i.e. studying the species diversity. This paper summarizes and compares the analytical strategies of current metagenomics,and its applications in the study of plant rhizosphere microorganisms and plant viruses,and also provides an outlook on future trends,aiming at providing methodological reference in the study of plant diseases.

Key words: metagenomics, high-throughput sequencing, bioinformatics, plant diseases