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Strain-level profiling of viable microbial community by selective single-cell genome sequencing
Culture-independent analysis with high-throughput sequencing has been widely used to characterize bacterial communities. However, signals derived from non-viable bacteria and non-cell DNA may inhibit its characterization. Here, we present a method for viable bacteria-targeted single-cell genome sequ...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8924182/ https://www.ncbi.nlm.nih.gov/pubmed/35292746 http://dx.doi.org/10.1038/s41598-022-08401-y |
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author | Hosokawa, Masahito Endoh, Taruho Kamata, Kazuma Arikawa, Koji Nishikawa, Yohei Kogawa, Masato Saeki, Tatsuya Yoda, Takuya Takeyama, Haruko |
author_facet | Hosokawa, Masahito Endoh, Taruho Kamata, Kazuma Arikawa, Koji Nishikawa, Yohei Kogawa, Masato Saeki, Tatsuya Yoda, Takuya Takeyama, Haruko |
author_sort | Hosokawa, Masahito |
collection | PubMed |
description | Culture-independent analysis with high-throughput sequencing has been widely used to characterize bacterial communities. However, signals derived from non-viable bacteria and non-cell DNA may inhibit its characterization. Here, we present a method for viable bacteria-targeted single-cell genome sequencing, called PMA-SAG-gel, to obtain comprehensive whole-genome sequences of surviving uncultured bacteria from microbial communities. PMA-SAG-gel uses gel matrixes that enable sequential enzymatic reactions for cell lysis and genome amplification of viable single cells from the microbial communities. PMA-SAG-gel removed the single-amplified genomes (SAGs) derived from dead bacteria and enabled selective sequencing of viable bacteria in the model samples of Escherichia coli and Bacillus subtilis. Next, we demonstrated the recovery of near-complete SAGs of eight oxygen-tolerant bacteria, including Bacteroides spp. and Phocaeicola spp., from 1331 human feces SAGs. We found the presence of two different strains in each species and identified their specific genes to investigate the metabolic functions. The survival profile of an entire population at the strain level will provide the information for understanding the characteristics of the surviving bacteria under the specific environments or sample processing and insights for quality assessment of live bacterial products or fecal microbiota transplantation and for understanding the effect of antimicrobial treatments. |
format | Online Article Text |
id | pubmed-8924182 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-89241822022-03-17 Strain-level profiling of viable microbial community by selective single-cell genome sequencing Hosokawa, Masahito Endoh, Taruho Kamata, Kazuma Arikawa, Koji Nishikawa, Yohei Kogawa, Masato Saeki, Tatsuya Yoda, Takuya Takeyama, Haruko Sci Rep Article Culture-independent analysis with high-throughput sequencing has been widely used to characterize bacterial communities. However, signals derived from non-viable bacteria and non-cell DNA may inhibit its characterization. Here, we present a method for viable bacteria-targeted single-cell genome sequencing, called PMA-SAG-gel, to obtain comprehensive whole-genome sequences of surviving uncultured bacteria from microbial communities. PMA-SAG-gel uses gel matrixes that enable sequential enzymatic reactions for cell lysis and genome amplification of viable single cells from the microbial communities. PMA-SAG-gel removed the single-amplified genomes (SAGs) derived from dead bacteria and enabled selective sequencing of viable bacteria in the model samples of Escherichia coli and Bacillus subtilis. Next, we demonstrated the recovery of near-complete SAGs of eight oxygen-tolerant bacteria, including Bacteroides spp. and Phocaeicola spp., from 1331 human feces SAGs. We found the presence of two different strains in each species and identified their specific genes to investigate the metabolic functions. The survival profile of an entire population at the strain level will provide the information for understanding the characteristics of the surviving bacteria under the specific environments or sample processing and insights for quality assessment of live bacterial products or fecal microbiota transplantation and for understanding the effect of antimicrobial treatments. Nature Publishing Group UK 2022-03-15 /pmc/articles/PMC8924182/ /pubmed/35292746 http://dx.doi.org/10.1038/s41598-022-08401-y Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Hosokawa, Masahito Endoh, Taruho Kamata, Kazuma Arikawa, Koji Nishikawa, Yohei Kogawa, Masato Saeki, Tatsuya Yoda, Takuya Takeyama, Haruko Strain-level profiling of viable microbial community by selective single-cell genome sequencing |
title | Strain-level profiling of viable microbial community by selective single-cell genome sequencing |
title_full | Strain-level profiling of viable microbial community by selective single-cell genome sequencing |
title_fullStr | Strain-level profiling of viable microbial community by selective single-cell genome sequencing |
title_full_unstemmed | Strain-level profiling of viable microbial community by selective single-cell genome sequencing |
title_short | Strain-level profiling of viable microbial community by selective single-cell genome sequencing |
title_sort | strain-level profiling of viable microbial community by selective single-cell genome sequencing |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8924182/ https://www.ncbi.nlm.nih.gov/pubmed/35292746 http://dx.doi.org/10.1038/s41598-022-08401-y |
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