Raman-based sorting of microbial cells to link functions to their genes.

IF 4.1 3区 生物学 Q2 CELL BIOLOGY
Kang Soo Lee, Michael Wagner, Roman Stocker
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引用次数: 0

Abstract

In our recent work, we developed an optofluidic platform that allows a direct link to be made between the phenotypes (functions) and the genotypes (genes) of microbial cells within natural communities. By combining stable isotope probing, optical tweezers, Raman microspectroscopy, and microfluidics, the platform performs automated Raman-based sorting of taxa from within a complex community in terms of their functional properties. In comparison with manual sorting approaches, our method provides high throughput (up to 500 cells per hour) and very high sorting accuracy (98.3 ± 1.7%), and significantly reduces the human labour required. The system provides an efficient manner to untangle the contributions of individual members within environmental and host-associated microbiomes. In this News and Thoughts, we provide an overview of our platform, describe potential applications, suggest ways in which the system could be improved, and discuss future directions in which Raman-based analysis of microbial populations might be developed.

Abstract Image

基于拉曼的微生物细胞分类,将功能与其基因联系起来。
在我们最近的工作中,我们开发了一种光流体平台,可以在自然群落中微生物细胞的表型(功能)和基因型(基因)之间建立直接联系。通过结合稳定同位素探测、光学镊子、拉曼微光谱和微流体,该平台可以根据功能特性对复杂群落内的分类群进行自动拉曼分类。与人工分选方法相比,我们的方法具有高通量(每小时可达500个细胞)和非常高的分选精度(98.3±1.7%),并显著减少了所需的人力。该系统提供了一种有效的方式来解开环境和宿主相关微生物组中个体成员的贡献。在这篇文章中,我们概述了我们的平台,描述了潜在的应用,提出了系统可以改进的方法,并讨论了基于拉曼的微生物种群分析可能发展的未来方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Microbial Cell
Microbial Cell Multiple-
CiteScore
6.40
自引率
0.00%
发文量
32
审稿时长
12 weeks
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