Cargando…

Comparative Evaluation of the Salivary and Buccal Mucosal Microbiota by 16S rRNA Sequencing for Forensic Investigations

The human microbiome has emerged as a new potential biomarker for forensic investigations with the development of high-throughput sequencing and bioinformatic analysis during the last decade. The oral cavity has many different microbial habitats, with each habit colonized by specific and individuali...

Descripción completa

Detalles Bibliográficos
Autores principales: Wang, Shuangshuang, Song, Feng, Gu, Haoyu, Wei, Xiaowen, Zhang, Ke, Zhou, Yuxiang, Luo, Haibo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8971900/
https://www.ncbi.nlm.nih.gov/pubmed/35369525
http://dx.doi.org/10.3389/fmicb.2022.777882
_version_ 1784679735971807232
author Wang, Shuangshuang
Song, Feng
Gu, Haoyu
Wei, Xiaowen
Zhang, Ke
Zhou, Yuxiang
Luo, Haibo
author_facet Wang, Shuangshuang
Song, Feng
Gu, Haoyu
Wei, Xiaowen
Zhang, Ke
Zhou, Yuxiang
Luo, Haibo
author_sort Wang, Shuangshuang
collection PubMed
description The human microbiome has emerged as a new potential biomarker for forensic investigations with the development of high-throughput sequencing and bioinformatic analysis during the last decade. The oral cavity has many different microbial habitats, with each habit colonized by specific and individualized microbiota. As saliva and buccal mucosa are common biological evidence in forensic science, understanding the differences of microbial communities between the two is important for forensic original identification. Moreover, the oral microbiota is individualized, whereas there are few studies on the application of forensic personal identification that need to be supplemented. In this study, Streptococcus was the most abundant genus, with an average relative abundance of 49.61% in the buccal mucosa, while in the saliva, Streptococcus, Veillonella, and Neisseria had similar proportions (20%, 15%, 16%) and were the dominant genera. The α and β diversity displayed a significant distinctness between the saliva and buccal mucosal groups. The community assembly mechanism stated that the deterministic process played a more significant effect in shaping the salivary bacterial community assembly than buccal mucosa, which explained the microbial differences. Of the test samples, 93.3% can be correctly classified with the random forest model based on the microbial differences. Targeting the low-abundance bacteria at the species level, 52% of experimental participants could be discriminated by using the observed unique bacterial species. In conclusion, the salivary bacterial community composition differed from that of the buccal mucosa and showed high richness and diversity. With the random forest model, the microbiota of saliva and buccal mucosa can be classified, which can be used in identifying the source of oral biological trace. Furthermore, each individual has a unique bacterial community pattern, and the presence or absence of unique bacteria and differences in the composition of the core oral microbiota are the key points for forensic personal discrimination that supplement the study of oral microbial application to forensic personal discrimination. Whether for original identification or personal discrimination, the oral microbiome has great potential for application.
format Online
Article
Text
id pubmed-8971900
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-89719002022-04-02 Comparative Evaluation of the Salivary and Buccal Mucosal Microbiota by 16S rRNA Sequencing for Forensic Investigations Wang, Shuangshuang Song, Feng Gu, Haoyu Wei, Xiaowen Zhang, Ke Zhou, Yuxiang Luo, Haibo Front Microbiol Microbiology The human microbiome has emerged as a new potential biomarker for forensic investigations with the development of high-throughput sequencing and bioinformatic analysis during the last decade. The oral cavity has many different microbial habitats, with each habit colonized by specific and individualized microbiota. As saliva and buccal mucosa are common biological evidence in forensic science, understanding the differences of microbial communities between the two is important for forensic original identification. Moreover, the oral microbiota is individualized, whereas there are few studies on the application of forensic personal identification that need to be supplemented. In this study, Streptococcus was the most abundant genus, with an average relative abundance of 49.61% in the buccal mucosa, while in the saliva, Streptococcus, Veillonella, and Neisseria had similar proportions (20%, 15%, 16%) and were the dominant genera. The α and β diversity displayed a significant distinctness between the saliva and buccal mucosal groups. The community assembly mechanism stated that the deterministic process played a more significant effect in shaping the salivary bacterial community assembly than buccal mucosa, which explained the microbial differences. Of the test samples, 93.3% can be correctly classified with the random forest model based on the microbial differences. Targeting the low-abundance bacteria at the species level, 52% of experimental participants could be discriminated by using the observed unique bacterial species. In conclusion, the salivary bacterial community composition differed from that of the buccal mucosa and showed high richness and diversity. With the random forest model, the microbiota of saliva and buccal mucosa can be classified, which can be used in identifying the source of oral biological trace. Furthermore, each individual has a unique bacterial community pattern, and the presence or absence of unique bacteria and differences in the composition of the core oral microbiota are the key points for forensic personal discrimination that supplement the study of oral microbial application to forensic personal discrimination. Whether for original identification or personal discrimination, the oral microbiome has great potential for application. Frontiers Media S.A. 2022-03-18 /pmc/articles/PMC8971900/ /pubmed/35369525 http://dx.doi.org/10.3389/fmicb.2022.777882 Text en Copyright © 2022 Wang, Song, Gu, Wei, Zhang, Zhou and Luo. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Microbiology
Wang, Shuangshuang
Song, Feng
Gu, Haoyu
Wei, Xiaowen
Zhang, Ke
Zhou, Yuxiang
Luo, Haibo
Comparative Evaluation of the Salivary and Buccal Mucosal Microbiota by 16S rRNA Sequencing for Forensic Investigations
title Comparative Evaluation of the Salivary and Buccal Mucosal Microbiota by 16S rRNA Sequencing for Forensic Investigations
title_full Comparative Evaluation of the Salivary and Buccal Mucosal Microbiota by 16S rRNA Sequencing for Forensic Investigations
title_fullStr Comparative Evaluation of the Salivary and Buccal Mucosal Microbiota by 16S rRNA Sequencing for Forensic Investigations
title_full_unstemmed Comparative Evaluation of the Salivary and Buccal Mucosal Microbiota by 16S rRNA Sequencing for Forensic Investigations
title_short Comparative Evaluation of the Salivary and Buccal Mucosal Microbiota by 16S rRNA Sequencing for Forensic Investigations
title_sort comparative evaluation of the salivary and buccal mucosal microbiota by 16s rrna sequencing for forensic investigations
topic Microbiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8971900/
https://www.ncbi.nlm.nih.gov/pubmed/35369525
http://dx.doi.org/10.3389/fmicb.2022.777882
work_keys_str_mv AT wangshuangshuang comparativeevaluationofthesalivaryandbuccalmucosalmicrobiotaby16srrnasequencingforforensicinvestigations
AT songfeng comparativeevaluationofthesalivaryandbuccalmucosalmicrobiotaby16srrnasequencingforforensicinvestigations
AT guhaoyu comparativeevaluationofthesalivaryandbuccalmucosalmicrobiotaby16srrnasequencingforforensicinvestigations
AT weixiaowen comparativeevaluationofthesalivaryandbuccalmucosalmicrobiotaby16srrnasequencingforforensicinvestigations
AT zhangke comparativeevaluationofthesalivaryandbuccalmucosalmicrobiotaby16srrnasequencingforforensicinvestigations
AT zhouyuxiang comparativeevaluationofthesalivaryandbuccalmucosalmicrobiotaby16srrnasequencingforforensicinvestigations
AT luohaibo comparativeevaluationofthesalivaryandbuccalmucosalmicrobiotaby16srrnasequencingforforensicinvestigations