生物技术通报 ›› 2020, Vol. 36 ›› Issue (10): 237-246.doi: 10.13560/j.cnki.biotech.bull.1985.2020-0335

• 技术与方法 • 上一篇    下一篇

单细胞测序技术在微生物生态领域中的应用

王丹蕊1,3(), 沈文丽2, 魏子艳2, 王尚1, 邓晔1,2,3()   

  1. 1.中国科学院生态环境研究中心,北京 100085
    2.山东大学海洋研究院,青岛 266237
    3.中国科学院大学资源与环境学院,北京 100049
  • 收稿日期:2020-03-27 出版日期:2020-10-26 发布日期:2020-11-02
  • 作者简介:王丹蕊,女,博士研究生,研究方向:微生物生态学;E-mail: wangdanrui18@mails.ucas.ac.cn
  • 基金资助:
    国家自然科学基金项目(U1906223);国家自然科学基金项目(91851106);中国科学院前沿科学重点研究项目(QYZDB-SSW-DQC026)

Applications of Single-cell Sequencing Technology in Microbial Ecology

WANG Dan-rui1,3(), SHEN Wen-li2, WEI Zi-yan2, WANG Shang1, DENG Ye1,2,3()   

  1. 1. Research Center for Eco-Environmental Science,Chinese Academy of Science,Beijing 100085
    2. Institute of Marine Science and Technology,Shandong University,Qingdao 266237
    3. College of Resources and Environment,University of Chinese Academy of Sciences,Beijing 100049
  • Received:2020-03-27 Published:2020-10-26 Online:2020-11-02

摘要:

单细胞测序技术是指在单细胞水平上对核酸分子进行测序的技术。近年来,单细胞测序技术异军突起,成为分子生物学研究的热点,在医学、生物化学、生命科学等领域取得了卓越的成果,也成为了单细胞生态学的重要组成部分。单细胞测序与扩增子或宏基因组技术结合可以更准确地识别微生物物种,探究种群异质性,进一步研究特定物种的功能,获得稀有物种的完整基因组。简述了单细胞测序的产生及发展历程,重点介绍了细胞分离和基因组扩增的前沿技术,并详细论述了单细胞测序技术在微生物生态领域中的应用。

关键词: 单细胞测序, 单细胞基因组, 环境微生物, 种群异质性, 单细胞生态学

Abstract:

Single-cell sequencing technology,allowing nucleic acid molecules sequenced at the level of single cell,has become a hot spot in molecular biology,and from it there are remarkable achievements in medicine,biochemistry,life science,thus it become an important part of single-cell ecology. The combination of single-cell sequencing and amplicon or metagenomic techniques can more accurately identify microbial species,explore population heterogeneity,intensively study the function of specific species,and obtain the complete genome of rare species. Here,we briefly review the generation and development process of single-cell sequencing,focus on introducing the new technologies of cell isolation and genome amplification,and illustrate the application of single-cell sequencing in microbial ecology.

Key words: single-cell sequencing, single-cell genomics, environmental microbiology, population heterogeneity, single-cell ecology