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An improved cell separation technique for marine subsurface sediments: applications for high-throughput analysis using flow cytometry and cell sorting
Development of an improved technique for separating microbial cells from marine sediments and standardization of a high-throughput and discriminative cell enumeration method were conducted. We separated microbial cells from various types of marine sediment and then recovered the cells using multilay...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley & Sons Ltd
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3910163/ https://www.ncbi.nlm.nih.gov/pubmed/23731283 http://dx.doi.org/10.1111/1462-2920.12153 |
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author | Morono, Yuki Terada, Takeshi Kallmeyer, Jens Inagaki, Fumio |
author_facet | Morono, Yuki Terada, Takeshi Kallmeyer, Jens Inagaki, Fumio |
author_sort | Morono, Yuki |
collection | PubMed |
description | Development of an improved technique for separating microbial cells from marine sediments and standardization of a high-throughput and discriminative cell enumeration method were conducted. We separated microbial cells from various types of marine sediment and then recovered the cells using multilayer density gradients of sodium polytungstate and/or Nycodenz, resulting in a notably higher percent recovery of cells than previous methods. The efficiency of cell extraction generally depends on the sediment depth; using the new technique we developed, more than 80% of the total cells were recovered from shallow sediment samples (down to 100 meters in depth), whereas ∼ 50% of cells were recovered from deep samples (100–365 m in depth). The separated cells could be rapidly enumerated using flow cytometry (FCM). The data were in good agreement with those obtained from manual microscopic direct counts over the range 10(4)–10(8) cells cm(−3). We also demonstrated that sedimentary microbial cells can be efficiently collected using a cell sorter. The combined use of our new cell separation and FCM/cell sorting techniques facilitates high-throughput and precise enumeration of microbial cells in sediments and is amenable to various types of single-cell analyses, thereby enhancing our understanding of microbial life in the largely uncharacterized deep subseafloor biosphere. |
format | Online Article Text |
id | pubmed-3910163 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | John Wiley & Sons Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-39101632014-02-06 An improved cell separation technique for marine subsurface sediments: applications for high-throughput analysis using flow cytometry and cell sorting Morono, Yuki Terada, Takeshi Kallmeyer, Jens Inagaki, Fumio Environ Microbiol Research Articles Development of an improved technique for separating microbial cells from marine sediments and standardization of a high-throughput and discriminative cell enumeration method were conducted. We separated microbial cells from various types of marine sediment and then recovered the cells using multilayer density gradients of sodium polytungstate and/or Nycodenz, resulting in a notably higher percent recovery of cells than previous methods. The efficiency of cell extraction generally depends on the sediment depth; using the new technique we developed, more than 80% of the total cells were recovered from shallow sediment samples (down to 100 meters in depth), whereas ∼ 50% of cells were recovered from deep samples (100–365 m in depth). The separated cells could be rapidly enumerated using flow cytometry (FCM). The data were in good agreement with those obtained from manual microscopic direct counts over the range 10(4)–10(8) cells cm(−3). We also demonstrated that sedimentary microbial cells can be efficiently collected using a cell sorter. The combined use of our new cell separation and FCM/cell sorting techniques facilitates high-throughput and precise enumeration of microbial cells in sediments and is amenable to various types of single-cell analyses, thereby enhancing our understanding of microbial life in the largely uncharacterized deep subseafloor biosphere. John Wiley & Sons Ltd 2013-10 2013-06-03 /pmc/articles/PMC3910163/ /pubmed/23731283 http://dx.doi.org/10.1111/1462-2920.12153 Text en © 2013 The Authors. Environmental Microbiology published by John Wiley & Sons Ltd and Society for Applied Microbiology. http://creativecommons.org/licenses/by/3.0/ This is an open access article under the terms of the Creative Commons Attribution–NonCommercial–NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made. |
spellingShingle | Research Articles Morono, Yuki Terada, Takeshi Kallmeyer, Jens Inagaki, Fumio An improved cell separation technique for marine subsurface sediments: applications for high-throughput analysis using flow cytometry and cell sorting |
title | An improved cell separation technique for marine subsurface sediments: applications for high-throughput analysis using flow cytometry and cell sorting |
title_full | An improved cell separation technique for marine subsurface sediments: applications for high-throughput analysis using flow cytometry and cell sorting |
title_fullStr | An improved cell separation technique for marine subsurface sediments: applications for high-throughput analysis using flow cytometry and cell sorting |
title_full_unstemmed | An improved cell separation technique for marine subsurface sediments: applications for high-throughput analysis using flow cytometry and cell sorting |
title_short | An improved cell separation technique for marine subsurface sediments: applications for high-throughput analysis using flow cytometry and cell sorting |
title_sort | improved cell separation technique for marine subsurface sediments: applications for high-throughput analysis using flow cytometry and cell sorting |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3910163/ https://www.ncbi.nlm.nih.gov/pubmed/23731283 http://dx.doi.org/10.1111/1462-2920.12153 |
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