分类
单元格排序
基因组
计算生物学
基因组
基因组学
微生物群
生物
鉴定(生物学)
微流控
计算机科学
纳米技术
生物信息学
流式细胞术
基因
遗传学
生态学
材料科学
程序设计语言
作者
Kang Soo Lee,Maria de Fátima Pereira,Márton Palatinszky,Lars Behrendt,Uria Alcolombri,David Berry,Michael Wagner,Roman Stocker
出处
期刊:Nature Protocols
[Springer Nature]
日期:2020-12-11
卷期号:16 (2): 634-676
被引量:48
标识
DOI:10.1038/s41596-020-00427-8
摘要
Stable isotope labeling of microbial taxa of interest and their sorting provide an efficient and direct way to answer the question who does what? in complex microbial communities when coupled with fluorescence in situ hybridization or downstream 'omics' analyses. We have developed a platform for automated Raman-based sorting in which optical tweezers and microfluidics are used to sort individual cells of interest from microbial communities on the basis of their Raman spectra. This sorting of cells and their downstream DNA analysis, such as by mini-metagenomics or single-cell genomics, or cultivation permits a direct link to be made between the metabolic roles and the genomes of microbial cells within complex microbial communities, as well as targeted isolation of novel microbes with a specific physiology of interest. We describe a protocol from sample preparation through Raman-activated live cell sorting. Subsequent cultivation of sorted cells is described, whereas downstream DNA analysis involves well-established approaches with abundant methods available in the literature. Compared with manual sorting, this technique provides a substantially higher throughput (up to 500 cells per h). Furthermore, the platform has very high sorting accuracy (98.3 ± 1.7%) and is fully automated, thus avoiding user biases that might accompany manual sorting. We anticipate that this protocol will empower in particular environmental and host-associated microbiome research with a versatile tool to elucidate the metabolic contributions of microbial taxa within their complex communities. After a 1-d preparation of cells, sorting takes on the order of 4 h, depending on the number of cells required.
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