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Journal Article

Fast identification method for screening bacteria from faecal samples using Oxford Nanopore Technologies MinION sequencing

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Basu,  Meghna       
Guest Group Evolutionary Medicine (Baines), Max Planck Institute for Evolutionary Biology, Max Planck Society;

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Baines,  John F.
Guest Group Evolutionary Medicine (Baines), Max Planck Institute for Evolutionary Biology, Max Planck Society;

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s00284-023-03201-7.pdf
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Supplementary Material (public)

284_2023_3201_MOESM1_ESM.docx
(Supplementary material), 70KB

Citation

Borges, A. S. G., Basu, M., Brinks, E., Bang, C., Cho, G.-S., Baines, J. F., et al. (2023). Fast identification method for screening bacteria from faecal samples using Oxford Nanopore Technologies MinION sequencing. Current Microbiology, 80: 101. doi:10.1007/s00284-023-03201-7.


Cite as: https://hdl.handle.net/21.11116/0000-000C-E702-D
Abstract
Most bacterial identification methods require extensive culturing, strain purification and DNA extraction protocols. This leads to additional expenses and time lags when isolating specific bacteria from complex microbiological ecosystems. This study aimed to develop a fast and robust method for identification of lactobacilli, bifidobacteria and Bacteroides in human faecal samples. Bacteria from faecal samples were cultured anaerobically on selective media. Sonication-based DNA extraction was performed, followed by almost complete 16S rRNA gene polymerase chain reaction amplification and MinION sequencing with the Flongle adapter. Sequence analysis was performed using NanoCLUST, while RStudio was used for graphics. For 110 of the 125 colonies investigated, 100% of reads were attributed to a single species, while the remaining 15 colonies consisted of mixtures of up to three different species. The proposed bacterial identification method is advantageous for isolating particular bacteria for which there are no exclusively selective media, as it avoids lengthy colony purification and DNA purification methods, and yields a quick colony identification with high accuracy. Therefore, this method can be used for directly screening for pure cultures of target microorganisms and is suitable for the identification of bacteria in culturomics studies.