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Absolute quantification of viable bacteria abundances in food by next-generation sequencing: Quantitative NGS of viable microbes
Next-generation sequencing (NGS) is an important tool for taxonomical bacteria identification. Recent technological developments have led to its improvement and availability. Despite the undeniable advantages of this approach, it has several limitations and shortcomings. The usual outcome of microbi...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9860258/ https://www.ncbi.nlm.nih.gov/pubmed/36691592 http://dx.doi.org/10.1016/j.crfs.2023.100443 |
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author | Kallastu, Aili Malv, Esther Aro, Valter Meikas, Anne Vendelin, Mariann Kattel, Anna Nahku, Ranno Kazantseva, Jekaterina |
author_facet | Kallastu, Aili Malv, Esther Aro, Valter Meikas, Anne Vendelin, Mariann Kattel, Anna Nahku, Ranno Kazantseva, Jekaterina |
author_sort | Kallastu, Aili |
collection | PubMed |
description | Next-generation sequencing (NGS) is an important tool for taxonomical bacteria identification. Recent technological developments have led to its improvement and availability. Despite the undeniable advantages of this approach, it has several limitations and shortcomings. The usual outcome of microbiota sequencing is a relative abundance of bacterial taxa. The information about bacteria viability or enumeration is missing. However, this knowledge is crucial for many applications. In the current study, we elaborated the complete workflow for the absolute quantification of living bacteria based on 16S rRNA gene amplicon sequencing. A fluorescent PMAxx reagent penetrating a damaged cell membrane was used to discriminate between the total and viable bacterial population. Bacteria enumeration was estimated by the spike-in technique or qPCR quantification. For method optimization, twenty bacterial species were taken, and the results of the workflow were validated by widely accepted methodologies: flow cytometry, microbiological plating, and viability-qPCR. Despite the minor discrepancy between all methods used, they all showed compatible results. Finally, we tested the workflow with actual food samples and received a good correlation between the methods regarding the estimation of the number of viable bacteria. Overall, the elaborated and integrated NGS approach could be the next step in perceiving a holistic picture of a sample microbiota. |
format | Online Article Text |
id | pubmed-9860258 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-98602582023-01-22 Absolute quantification of viable bacteria abundances in food by next-generation sequencing: Quantitative NGS of viable microbes Kallastu, Aili Malv, Esther Aro, Valter Meikas, Anne Vendelin, Mariann Kattel, Anna Nahku, Ranno Kazantseva, Jekaterina Curr Res Food Sci Research Article Next-generation sequencing (NGS) is an important tool for taxonomical bacteria identification. Recent technological developments have led to its improvement and availability. Despite the undeniable advantages of this approach, it has several limitations and shortcomings. The usual outcome of microbiota sequencing is a relative abundance of bacterial taxa. The information about bacteria viability or enumeration is missing. However, this knowledge is crucial for many applications. In the current study, we elaborated the complete workflow for the absolute quantification of living bacteria based on 16S rRNA gene amplicon sequencing. A fluorescent PMAxx reagent penetrating a damaged cell membrane was used to discriminate between the total and viable bacterial population. Bacteria enumeration was estimated by the spike-in technique or qPCR quantification. For method optimization, twenty bacterial species were taken, and the results of the workflow were validated by widely accepted methodologies: flow cytometry, microbiological plating, and viability-qPCR. Despite the minor discrepancy between all methods used, they all showed compatible results. Finally, we tested the workflow with actual food samples and received a good correlation between the methods regarding the estimation of the number of viable bacteria. Overall, the elaborated and integrated NGS approach could be the next step in perceiving a holistic picture of a sample microbiota. Elsevier 2023-01-12 /pmc/articles/PMC9860258/ /pubmed/36691592 http://dx.doi.org/10.1016/j.crfs.2023.100443 Text en © 2023 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Research Article Kallastu, Aili Malv, Esther Aro, Valter Meikas, Anne Vendelin, Mariann Kattel, Anna Nahku, Ranno Kazantseva, Jekaterina Absolute quantification of viable bacteria abundances in food by next-generation sequencing: Quantitative NGS of viable microbes |
title | Absolute quantification of viable bacteria abundances in food by next-generation sequencing: Quantitative NGS of viable microbes |
title_full | Absolute quantification of viable bacteria abundances in food by next-generation sequencing: Quantitative NGS of viable microbes |
title_fullStr | Absolute quantification of viable bacteria abundances in food by next-generation sequencing: Quantitative NGS of viable microbes |
title_full_unstemmed | Absolute quantification of viable bacteria abundances in food by next-generation sequencing: Quantitative NGS of viable microbes |
title_short | Absolute quantification of viable bacteria abundances in food by next-generation sequencing: Quantitative NGS of viable microbes |
title_sort | absolute quantification of viable bacteria abundances in food by next-generation sequencing: quantitative ngs of viable microbes |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9860258/ https://www.ncbi.nlm.nih.gov/pubmed/36691592 http://dx.doi.org/10.1016/j.crfs.2023.100443 |
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