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Single gene-based distinction of individual microbial genomes from a mixed population of microbial cells

Recent progress in environmental microbiology has revealed vast populations of microbes in any given habitat that cannot be detected by conventional culturing strategies. The use of sensitive genetic detection methods such as CARD-FISH and in situ PCR have been limited by the cell wall permeabilizat...

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Autores principales: Tamminen, Manu V., Virta, Marko P. J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4356102/
https://www.ncbi.nlm.nih.gov/pubmed/25814987
http://dx.doi.org/10.3389/fmicb.2015.00195
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author Tamminen, Manu V.
Virta, Marko P. J.
author_facet Tamminen, Manu V.
Virta, Marko P. J.
author_sort Tamminen, Manu V.
collection PubMed
description Recent progress in environmental microbiology has revealed vast populations of microbes in any given habitat that cannot be detected by conventional culturing strategies. The use of sensitive genetic detection methods such as CARD-FISH and in situ PCR have been limited by the cell wall permeabilization requirement that cannot be performed similarly on all cell types without lysing some and leaving some nonpermeabilized. Furthermore, the detection of low copy targets such as genes present in single copies in the microbial genomes, has remained problematic. We describe an emulsion-based procedure to trap individual microbial cells into picoliter-volume polyacrylamide droplets that provide a rigid support for genetic material and therefore allow complete degradation of cellular material to expose the individual genomes. The polyacrylamide droplets are subsequently converted into picoliter-scale reactors for genome amplification. The amplified genomes are labeled based on the presence of a target gene and differentiated from those that do not contain the gene by flow cytometry. Using the Escherichia coli strains XL1 and MC1061, which differ with respect to the presence (XL1), or absence (MC1061) of a single copy of a tetracycline resistance gene per genome, we demonstrate that XL1 genomes present at 0.1% of MC1061 genomes can be differentiated using this method. Using a spiked sediment microbial sample, we demonstrate that the method is applicable to highly complex environmental microbial communities as a target gene-based screen for individual microbes. The method provides a novel tool for enumerating functional cell populations in complex microbial communities. We envision that the method could be optimized for fluorescence-activated cell sorting to enrich genetic material of interest from complex environmental samples.
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spelling pubmed-43561022015-03-26 Single gene-based distinction of individual microbial genomes from a mixed population of microbial cells Tamminen, Manu V. Virta, Marko P. J. Front Microbiol Microbiology Recent progress in environmental microbiology has revealed vast populations of microbes in any given habitat that cannot be detected by conventional culturing strategies. The use of sensitive genetic detection methods such as CARD-FISH and in situ PCR have been limited by the cell wall permeabilization requirement that cannot be performed similarly on all cell types without lysing some and leaving some nonpermeabilized. Furthermore, the detection of low copy targets such as genes present in single copies in the microbial genomes, has remained problematic. We describe an emulsion-based procedure to trap individual microbial cells into picoliter-volume polyacrylamide droplets that provide a rigid support for genetic material and therefore allow complete degradation of cellular material to expose the individual genomes. The polyacrylamide droplets are subsequently converted into picoliter-scale reactors for genome amplification. The amplified genomes are labeled based on the presence of a target gene and differentiated from those that do not contain the gene by flow cytometry. Using the Escherichia coli strains XL1 and MC1061, which differ with respect to the presence (XL1), or absence (MC1061) of a single copy of a tetracycline resistance gene per genome, we demonstrate that XL1 genomes present at 0.1% of MC1061 genomes can be differentiated using this method. Using a spiked sediment microbial sample, we demonstrate that the method is applicable to highly complex environmental microbial communities as a target gene-based screen for individual microbes. The method provides a novel tool for enumerating functional cell populations in complex microbial communities. We envision that the method could be optimized for fluorescence-activated cell sorting to enrich genetic material of interest from complex environmental samples. Frontiers Media S.A. 2015-03-11 /pmc/articles/PMC4356102/ /pubmed/25814987 http://dx.doi.org/10.3389/fmicb.2015.00195 Text en Copyright © 2015 Tamminen and Virta. 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
Tamminen, Manu V.
Virta, Marko P. J.
Single gene-based distinction of individual microbial genomes from a mixed population of microbial cells
title Single gene-based distinction of individual microbial genomes from a mixed population of microbial cells
title_full Single gene-based distinction of individual microbial genomes from a mixed population of microbial cells
title_fullStr Single gene-based distinction of individual microbial genomes from a mixed population of microbial cells
title_full_unstemmed Single gene-based distinction of individual microbial genomes from a mixed population of microbial cells
title_short Single gene-based distinction of individual microbial genomes from a mixed population of microbial cells
title_sort single gene-based distinction of individual microbial genomes from a mixed population of microbial cells
topic Microbiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4356102/
https://www.ncbi.nlm.nih.gov/pubmed/25814987
http://dx.doi.org/10.3389/fmicb.2015.00195
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