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The effects of removing dead bacteria by propidium monoazide on the profile of salivary microbiome
BACKGROUND: Oral microbiome played an important role in maintaining healthy state and might exhibit certain changes under circumstances of diseases. However, current microbiological research using sequencing techniques did not regard dead bacteria as a separate part, causing findings based on subseq...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8456568/ https://www.ncbi.nlm.nih.gov/pubmed/34551743 http://dx.doi.org/10.1186/s12903-021-01832-5 |
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author | Ren, Qidi Wei, Fangqiao Yuan, Chao Zhu, Ce Zhang, Qian Quan, Junkang Sun, Xiangyu Zheng, Shuguo |
author_facet | Ren, Qidi Wei, Fangqiao Yuan, Chao Zhu, Ce Zhang, Qian Quan, Junkang Sun, Xiangyu Zheng, Shuguo |
author_sort | Ren, Qidi |
collection | PubMed |
description | BACKGROUND: Oral microbiome played an important role in maintaining healthy state and might exhibit certain changes under circumstances of diseases. However, current microbiological research using sequencing techniques did not regard dead bacteria as a separate part, causing findings based on subsequent analyses on dynamic equilibrium and functional pathways of microbes somewhat questionable. Since treatment by propidium monoazide (PMA) was able to remove dead bacteria effectively, it would be worth studying how the sequencing results after PMA treatment differed from those focusing on the whole microbiota. METHODS: Unstimulated whole saliva samples were obtained from 18 healthy people from 3 age groups (children, adults, and the elderly). After removal of dead bacteria by propidium monoazide (PMA), changes in the profile of salivary microbiome were detected using 16S rRNA sequencing technology, and differences among age groups were compared subsequently. RESULTS: Dead bacteria accounted for nearly a half of the whole bacteria flora in saliva, while freezing had little effect on the proportion of deaths. After treatment with PMA, the numbers of OTUs reduced by 4.4–14.2%, while the Shannon diversity indices decreased significantly (P < 0.01). Only 35.2% of positive and 6.1% of negative correlations were found to be shared by the whole microbiota and that with dead bacteria removed. Differences in significantly changed OTUs and functional pathways among different age groups were also observed between the group of PMA and the control. CONCLUSIONS: It was necessary to take the influence of living state of bacteria into account in analytic studies of salivary microbiome. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12903-021-01832-5. |
format | Online Article Text |
id | pubmed-8456568 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-84565682021-09-22 The effects of removing dead bacteria by propidium monoazide on the profile of salivary microbiome Ren, Qidi Wei, Fangqiao Yuan, Chao Zhu, Ce Zhang, Qian Quan, Junkang Sun, Xiangyu Zheng, Shuguo BMC Oral Health Research BACKGROUND: Oral microbiome played an important role in maintaining healthy state and might exhibit certain changes under circumstances of diseases. However, current microbiological research using sequencing techniques did not regard dead bacteria as a separate part, causing findings based on subsequent analyses on dynamic equilibrium and functional pathways of microbes somewhat questionable. Since treatment by propidium monoazide (PMA) was able to remove dead bacteria effectively, it would be worth studying how the sequencing results after PMA treatment differed from those focusing on the whole microbiota. METHODS: Unstimulated whole saliva samples were obtained from 18 healthy people from 3 age groups (children, adults, and the elderly). After removal of dead bacteria by propidium monoazide (PMA), changes in the profile of salivary microbiome were detected using 16S rRNA sequencing technology, and differences among age groups were compared subsequently. RESULTS: Dead bacteria accounted for nearly a half of the whole bacteria flora in saliva, while freezing had little effect on the proportion of deaths. After treatment with PMA, the numbers of OTUs reduced by 4.4–14.2%, while the Shannon diversity indices decreased significantly (P < 0.01). Only 35.2% of positive and 6.1% of negative correlations were found to be shared by the whole microbiota and that with dead bacteria removed. Differences in significantly changed OTUs and functional pathways among different age groups were also observed between the group of PMA and the control. CONCLUSIONS: It was necessary to take the influence of living state of bacteria into account in analytic studies of salivary microbiome. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12903-021-01832-5. BioMed Central 2021-09-22 /pmc/articles/PMC8456568/ /pubmed/34551743 http://dx.doi.org/10.1186/s12903-021-01832-5 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Ren, Qidi Wei, Fangqiao Yuan, Chao Zhu, Ce Zhang, Qian Quan, Junkang Sun, Xiangyu Zheng, Shuguo The effects of removing dead bacteria by propidium monoazide on the profile of salivary microbiome |
title | The effects of removing dead bacteria by propidium monoazide on the profile of salivary microbiome |
title_full | The effects of removing dead bacteria by propidium monoazide on the profile of salivary microbiome |
title_fullStr | The effects of removing dead bacteria by propidium monoazide on the profile of salivary microbiome |
title_full_unstemmed | The effects of removing dead bacteria by propidium monoazide on the profile of salivary microbiome |
title_short | The effects of removing dead bacteria by propidium monoazide on the profile of salivary microbiome |
title_sort | effects of removing dead bacteria by propidium monoazide on the profile of salivary microbiome |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8456568/ https://www.ncbi.nlm.nih.gov/pubmed/34551743 http://dx.doi.org/10.1186/s12903-021-01832-5 |
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