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Culture-independent method for identification of microbial enzyme-encoding genes by activity-based single-cell sequencing using a water-in-oil microdroplet platform

Environmental microbes are a great source of industrially valuable enzymes with potent and unique catalytic activities. Unfortunately, the majority of microbes remain unculturable and thus are not accessible by culture-based methods. Recently, culture-independent metagenomic approaches have been suc...

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Autores principales: Nakamura, Kazuki, Iizuka, Ryo, Nishi, Shinro, Yoshida, Takao, Hatada, Yuji, Takaki, Yoshihiro, Iguchi, Ayaka, Yoon, Dong Hyun, Sekiguchi, Tetsushi, Shoji, Shuichi, Funatsu, Takashi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4768102/
https://www.ncbi.nlm.nih.gov/pubmed/26915788
http://dx.doi.org/10.1038/srep22259
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author Nakamura, Kazuki
Iizuka, Ryo
Nishi, Shinro
Yoshida, Takao
Hatada, Yuji
Takaki, Yoshihiro
Iguchi, Ayaka
Yoon, Dong Hyun
Sekiguchi, Tetsushi
Shoji, Shuichi
Funatsu, Takashi
author_facet Nakamura, Kazuki
Iizuka, Ryo
Nishi, Shinro
Yoshida, Takao
Hatada, Yuji
Takaki, Yoshihiro
Iguchi, Ayaka
Yoon, Dong Hyun
Sekiguchi, Tetsushi
Shoji, Shuichi
Funatsu, Takashi
author_sort Nakamura, Kazuki
collection PubMed
description Environmental microbes are a great source of industrially valuable enzymes with potent and unique catalytic activities. Unfortunately, the majority of microbes remain unculturable and thus are not accessible by culture-based methods. Recently, culture-independent metagenomic approaches have been successfully applied, opening access to untapped genetic resources. Here we present a methodological approach for the identification of genes that encode metabolically active enzymes in environmental microbes in a culture-independent manner. Our method is based on activity-based single-cell sequencing, which focuses on microbial cells showing specific enzymatic activities. First, at the single-cell level, environmental microbes were encapsulated in water-in-oil microdroplets with a fluorogenic substrate for the target enzyme to screen for microdroplets that contain microbially active cells. Second, the microbial cells were recovered and subjected to whole genome amplification. Finally, the amplified genomes were sequenced to identify the genes encoding target enzymes. Employing this method, we successfully identified 14 novel β-glucosidase genes from uncultured bacterial cells in marine samples. Our method contributes to the screening and identification of genes encoding industrially valuable enzymes.
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spelling pubmed-47681022016-03-02 Culture-independent method for identification of microbial enzyme-encoding genes by activity-based single-cell sequencing using a water-in-oil microdroplet platform Nakamura, Kazuki Iizuka, Ryo Nishi, Shinro Yoshida, Takao Hatada, Yuji Takaki, Yoshihiro Iguchi, Ayaka Yoon, Dong Hyun Sekiguchi, Tetsushi Shoji, Shuichi Funatsu, Takashi Sci Rep Article Environmental microbes are a great source of industrially valuable enzymes with potent and unique catalytic activities. Unfortunately, the majority of microbes remain unculturable and thus are not accessible by culture-based methods. Recently, culture-independent metagenomic approaches have been successfully applied, opening access to untapped genetic resources. Here we present a methodological approach for the identification of genes that encode metabolically active enzymes in environmental microbes in a culture-independent manner. Our method is based on activity-based single-cell sequencing, which focuses on microbial cells showing specific enzymatic activities. First, at the single-cell level, environmental microbes were encapsulated in water-in-oil microdroplets with a fluorogenic substrate for the target enzyme to screen for microdroplets that contain microbially active cells. Second, the microbial cells were recovered and subjected to whole genome amplification. Finally, the amplified genomes were sequenced to identify the genes encoding target enzymes. Employing this method, we successfully identified 14 novel β-glucosidase genes from uncultured bacterial cells in marine samples. Our method contributes to the screening and identification of genes encoding industrially valuable enzymes. Nature Publishing Group 2016-02-26 /pmc/articles/PMC4768102/ /pubmed/26915788 http://dx.doi.org/10.1038/srep22259 Text en Copyright © 2016, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Nakamura, Kazuki
Iizuka, Ryo
Nishi, Shinro
Yoshida, Takao
Hatada, Yuji
Takaki, Yoshihiro
Iguchi, Ayaka
Yoon, Dong Hyun
Sekiguchi, Tetsushi
Shoji, Shuichi
Funatsu, Takashi
Culture-independent method for identification of microbial enzyme-encoding genes by activity-based single-cell sequencing using a water-in-oil microdroplet platform
title Culture-independent method for identification of microbial enzyme-encoding genes by activity-based single-cell sequencing using a water-in-oil microdroplet platform
title_full Culture-independent method for identification of microbial enzyme-encoding genes by activity-based single-cell sequencing using a water-in-oil microdroplet platform
title_fullStr Culture-independent method for identification of microbial enzyme-encoding genes by activity-based single-cell sequencing using a water-in-oil microdroplet platform
title_full_unstemmed Culture-independent method for identification of microbial enzyme-encoding genes by activity-based single-cell sequencing using a water-in-oil microdroplet platform
title_short Culture-independent method for identification of microbial enzyme-encoding genes by activity-based single-cell sequencing using a water-in-oil microdroplet platform
title_sort culture-independent method for identification of microbial enzyme-encoding genes by activity-based single-cell sequencing using a water-in-oil microdroplet platform
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4768102/
https://www.ncbi.nlm.nih.gov/pubmed/26915788
http://dx.doi.org/10.1038/srep22259
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