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薛定谔的微生物:微生物生态系统中区分活与死的工具。

Schrödinger's microbes: Tools for distinguishing the living from the dead in microbial ecosystems.

机构信息

Department of Microbiology, The Ohio State University, 484 West 12th Avenue, Columbus, OH, 43210, USA.

Current Address: Department of Plant Pathology, University of California, Davis, CA, USA.

出版信息

Microbiome. 2017 Aug 16;5(1):86. doi: 10.1186/s40168-017-0285-3.

DOI:10.1186/s40168-017-0285-3
PMID:
28810907
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5558654/
Abstract

While often obvious for macroscopic organisms, determining whether a microbe is dead or alive is fraught with complications. Fields such as microbial ecology, environmental health, and medical microbiology each determine how best to assess which members of the microbial community are alive, according to their respective scientific and/or regulatory needs. Many of these fields have gone from studying communities on a bulk level to the fine-scale resolution of microbial populations within consortia. For example, advances in nucleic acid sequencing technologies and downstream bioinformatic analyses have allowed for high-resolution insight into microbial community composition and metabolic potential, yet we know very little about whether such community DNA sequences represent viable microorganisms. In this review, we describe a number of techniques, from microscopy- to molecular-based, that have been used to test for viability (live/dead determination) and/or activity in various contexts, including newer techniques that are compatible with or complementary to downstream nucleic acid sequencing. We describe the compatibility of these viability assessments with high-throughput quantification techniques, including flow cytometry and quantitative PCR (qPCR). Although bacterial viability-linked community characterizations are now feasible in many environments and thus are the focus of this critical review, further methods development is needed for complex environmental samples and to more fully capture the diversity of microbes (e.g., eukaryotic microbes and viruses) and metabolic states (e.g., spores) of microbes in natural environments.

摘要

虽然对于宏观生物来说,确定微生物是死是活通常是显而易见的,但这一过程充满了复杂性。微生物生态学、环境健康和医学微生物学等领域都根据各自的科学和/或监管需求,确定了评估微生物群落中哪些成员存活的最佳方法。这些领域中的许多已经从对群落进行批量水平的研究转变为对联合体中微生物种群的精细尺度分辨率的研究。例如,核酸测序技术和下游生物信息学分析的进步使得我们能够对微生物群落的组成和代谢潜力进行高分辨率的洞察,但我们对这些群落 DNA 序列是否代表有活力的微生物知之甚少。在这篇综述中,我们描述了许多技术,从基于显微镜到基于分子的技术,这些技术已被用于在各种情况下检测微生物的活力(死活测定)和/或活性,包括与下游核酸测序兼容或互补的新技术。我们描述了这些活力评估与高通量定量技术(包括流式细胞术和定量 PCR(qPCR))的兼容性。尽管现在在许多环境中都可以对与细菌活力相关的群落特征进行描述,因此这是本批判性综述的重点,但仍需要进一步开发针对复杂环境样本的方法,以更全面地捕捉微生物(例如真核微生物和病毒)和微生物代谢状态(例如孢子)的多样性。

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