4.7 Article

Strain-level profiling of viable microbial community by selective single-cell genome sequencing

Journal

SCIENTIFIC REPORTS
Volume 12, Issue 1, Pages -

Publisher

NATURE PORTFOLIO
DOI: 10.1038/s41598-022-08401-y

Keywords

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Funding

  1. MEXT KAKENHI [21H01733, 17H06158]
  2. Grants-in-Aid for Scientific Research [21H01733, 17H06158] Funding Source: KAKEN

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In this study, a method called PMA-SAG-gel was presented for viable bacteria-targeted single-cell genome sequencing. This method uses gel matrixes to selectively sequence the viable bacteria in microbial communities, removing interference from non-viable bacteria. The method was demonstrated to successfully recover near-complete genomes of oxygen-tolerant bacteria from human feces samples.
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.

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