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Tools for Genomic and Transcriptomic Analysis of Microbes at Single-Cell Level

Microbiologists traditionally study population rather than individual cells, as it is generally assumed that the status of individual cells will be similar to that observed in the population. However, the recent studies have shown that the individual behavior of each single cell could be quite diffe...

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Detalles Bibliográficos
Autores principales: Chen, Zixi, Chen, Lei, Zhang, Weiwen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5611438/
https://www.ncbi.nlm.nih.gov/pubmed/28979258
http://dx.doi.org/10.3389/fmicb.2017.01831
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author Chen, Zixi
Chen, Lei
Zhang, Weiwen
author_facet Chen, Zixi
Chen, Lei
Zhang, Weiwen
author_sort Chen, Zixi
collection PubMed
description Microbiologists traditionally study population rather than individual cells, as it is generally assumed that the status of individual cells will be similar to that observed in the population. However, the recent studies have shown that the individual behavior of each single cell could be quite different from that of the whole population, suggesting the importance of extending traditional microbiology studies to single-cell level. With recent technological advances, such as flow cytometry, next-generation sequencing (NGS), and microspectroscopy, single-cell microbiology has greatly enhanced the understanding of individuality and heterogeneity of microbes in many biological systems. Notably, the application of multiple ‘omics’ in single-cell analysis has shed light on how individual cells perceive, respond, and adapt to the environment, how heterogeneity arises under external stress and finally determines the fate of the whole population, and how microbes survive under natural conditions. As single-cell analysis involves no axenic cultivation of target microorganism, it has also been demonstrated as a valuable tool for dissecting the microbial ‘dark matter.’ In this review, current state-of-the-art tools and methods for genomic and transcriptomic analysis of microbes at single-cell level were critically summarized, including single-cell isolation methods and experimental strategies of single-cell analysis with NGS. In addition, perspectives on the future trends of technology development in the field of single-cell analysis was also presented.
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spelling pubmed-56114382017-10-04 Tools for Genomic and Transcriptomic Analysis of Microbes at Single-Cell Level Chen, Zixi Chen, Lei Zhang, Weiwen Front Microbiol Microbiology Microbiologists traditionally study population rather than individual cells, as it is generally assumed that the status of individual cells will be similar to that observed in the population. However, the recent studies have shown that the individual behavior of each single cell could be quite different from that of the whole population, suggesting the importance of extending traditional microbiology studies to single-cell level. With recent technological advances, such as flow cytometry, next-generation sequencing (NGS), and microspectroscopy, single-cell microbiology has greatly enhanced the understanding of individuality and heterogeneity of microbes in many biological systems. Notably, the application of multiple ‘omics’ in single-cell analysis has shed light on how individual cells perceive, respond, and adapt to the environment, how heterogeneity arises under external stress and finally determines the fate of the whole population, and how microbes survive under natural conditions. As single-cell analysis involves no axenic cultivation of target microorganism, it has also been demonstrated as a valuable tool for dissecting the microbial ‘dark matter.’ In this review, current state-of-the-art tools and methods for genomic and transcriptomic analysis of microbes at single-cell level were critically summarized, including single-cell isolation methods and experimental strategies of single-cell analysis with NGS. In addition, perspectives on the future trends of technology development in the field of single-cell analysis was also presented. Frontiers Media S.A. 2017-09-20 /pmc/articles/PMC5611438/ /pubmed/28979258 http://dx.doi.org/10.3389/fmicb.2017.01831 Text en Copyright © 2017 Chen, Chen and Zhang. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Microbiology
Chen, Zixi
Chen, Lei
Zhang, Weiwen
Tools for Genomic and Transcriptomic Analysis of Microbes at Single-Cell Level
title Tools for Genomic and Transcriptomic Analysis of Microbes at Single-Cell Level
title_full Tools for Genomic and Transcriptomic Analysis of Microbes at Single-Cell Level
title_fullStr Tools for Genomic and Transcriptomic Analysis of Microbes at Single-Cell Level
title_full_unstemmed Tools for Genomic and Transcriptomic Analysis of Microbes at Single-Cell Level
title_short Tools for Genomic and Transcriptomic Analysis of Microbes at Single-Cell Level
title_sort tools for genomic and transcriptomic analysis of microbes at single-cell level
topic Microbiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5611438/
https://www.ncbi.nlm.nih.gov/pubmed/28979258
http://dx.doi.org/10.3389/fmicb.2017.01831
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