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Optofluidic Raman-activated cell sorting for targeted genome retrieval or cultivation of microbial cells with specific functions

Optofluidic Raman-activated cell sorting for targeted genome retrieval or cultivation of microbial cells with specific functions
Optofluidic Raman-activated cell sorting for targeted genome retrieval or cultivation of microbial cells with specific functions

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.

Cell Separation/methods, Flow Cytometry/methods, Genome/genetics, Genomics/methods, In Situ Hybridization, Fluorescence/methods, Isotope Labeling/methods, Metagenomics/methods, Microbiota/genetics, Microfluidics/methods, Optical Tweezers, Optogenetics/methods, Single-Cell Analysis/methods, Spectrum Analysis, Raman/methods
1754-2189
634-676
Lee, Kang Soo
4299fa32-f72b-42ce-acba-a116564a36f5
Pereira, Fátima C.
a9396948-26f9-4f13-8f83-a22fec1dd0e0
Palatinszky, Márton
e45abbe6-2f26-4b63-bf5f-2122f31e30f3
Behrendt, Lars
8a8fa018-0f5c-4ed5-bf04-ef804030dc51
Alcolombri, Uria
6d3414f3-32f1-4f93-8e03-b11382d43bef
Berry, David
e799707f-d4a7-485f-9034-a8f411cb65b7
Wagner, Michael
b1db4f29-c6dc-444b-b750-5f6a7afcfab7
Stocker, Roman
1a16d8b3-826d-4959-89fa-6c66c60307c2
Lee, Kang Soo
4299fa32-f72b-42ce-acba-a116564a36f5
Pereira, Fátima C.
a9396948-26f9-4f13-8f83-a22fec1dd0e0
Palatinszky, Márton
e45abbe6-2f26-4b63-bf5f-2122f31e30f3
Behrendt, Lars
8a8fa018-0f5c-4ed5-bf04-ef804030dc51
Alcolombri, Uria
6d3414f3-32f1-4f93-8e03-b11382d43bef
Berry, David
e799707f-d4a7-485f-9034-a8f411cb65b7
Wagner, Michael
b1db4f29-c6dc-444b-b750-5f6a7afcfab7
Stocker, Roman
1a16d8b3-826d-4959-89fa-6c66c60307c2

Lee, Kang Soo, Pereira, Fátima C., Palatinszky, Márton, Behrendt, Lars, Alcolombri, Uria, Berry, David, Wagner, Michael and Stocker, Roman (2021) Optofluidic Raman-activated cell sorting for targeted genome retrieval or cultivation of microbial cells with specific functions. Nature Protocols, 16 (2), 634-676. (doi:10.1038/s41596-020-00427-8).

Record type: Article

Abstract

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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More information

Accepted/In Press date: 25 September 2020
e-pub ahead of print date: 11 December 2020
Published date: February 2021
Keywords: Cell Separation/methods, Flow Cytometry/methods, Genome/genetics, Genomics/methods, In Situ Hybridization, Fluorescence/methods, Isotope Labeling/methods, Metagenomics/methods, Microbiota/genetics, Microfluidics/methods, Optical Tweezers, Optogenetics/methods, Single-Cell Analysis/methods, Spectrum Analysis, Raman/methods

Identifiers

Local EPrints ID: 485388
URI: http://eprints.soton.ac.uk/id/eprint/485388
ISSN: 1754-2189
PURE UUID: 67624ae2-fb04-47f3-92c2-1662e73fe8ca
ORCID for Fátima C. Pereira: ORCID iD orcid.org/0000-0002-1288-6481

Catalogue record

Date deposited: 05 Dec 2023 17:47
Last modified: 17 Mar 2024 04:14

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Contributors

Author: Kang Soo Lee
Author: Fátima C. Pereira ORCID iD
Author: Márton Palatinszky
Author: Lars Behrendt
Author: Uria Alcolombri
Author: David Berry
Author: Michael Wagner
Author: Roman Stocker

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