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Assess the diversity of gut microbiota among healthy adults for forensic application

BACKGROUND: Human gut microbiota is individually unique that hints the microbiota in fecal traces left in the crime scene could act as a potential biomarker for forensic personal identification. Next-generation DNA sequencing and bioinformatic analysis of fecal samples are revolutionizing our insigh...

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Autores principales: Wang, Shuangshuang, Song, Feng, Gu, Haoyu, Shu, Zhilong, Wei, Xiaowen, Zhang, Ke, Zhou, Yuxiang, Jiang, Lanrui, Wang, Zefei, Li, Jienan, Luo, Haibo, Liang, Weibo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8944125/
https://www.ncbi.nlm.nih.gov/pubmed/35331204
http://dx.doi.org/10.1186/s12934-022-01769-6
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author Wang, Shuangshuang
Song, Feng
Gu, Haoyu
Shu, Zhilong
Wei, Xiaowen
Zhang, Ke
Zhou, Yuxiang
Jiang, Lanrui
Wang, Zefei
Li, Jienan
Luo, Haibo
Liang, Weibo
author_facet Wang, Shuangshuang
Song, Feng
Gu, Haoyu
Shu, Zhilong
Wei, Xiaowen
Zhang, Ke
Zhou, Yuxiang
Jiang, Lanrui
Wang, Zefei
Li, Jienan
Luo, Haibo
Liang, Weibo
author_sort Wang, Shuangshuang
collection PubMed
description BACKGROUND: Human gut microbiota is individually unique that hints the microbiota in fecal traces left in the crime scene could act as a potential biomarker for forensic personal identification. Next-generation DNA sequencing and bioinformatic analysis of fecal samples are revolutionizing our insights into gut microbial communities. While the formation of the gut microbiota is known to be multifactorial, it is unclear whether these characteristics can be applied to forensic applications. Therefore, the gut microbiota of healthy adults with different traits was investigated in this study. RESULTS: Based on the STAMP analysis of each study group, the difference in gut microbiota composition of male and female subjects was observed. The male group was characterized by taxa in the phylum Proteobacteria, while the female group was described by Synergistetes phylum. The gut bacterial community assembly mechanism was mainly affected by the deterministic process. In addition, gut microbiota composition showed meaningful discrimination in each of the BMI groups. At the phylum level, in male subjects, increased representative phyla were Patescibacteria (p < 0.05) in the underweight group and Bacteroidetes (p < 0.05) in the normal-weight group, while in the female group, the significantly different phyla were Bacteroidetes, Firmicutes, and Actinobacteria. At the genus level, 44 unique genera were found to be significantly distinct across BMI study groups. By Fisher’s Linear Discriminant Analysis, ninety-four point four percent (94.4%) of original BMI grouped subjects were correctly classified. The linear regression analysis model showed an accuracy of seventy-four percent (74%) in predicting body type. CONCLUSION: In conclusion, subjects with different individual characters have specific gut microbiota, and can be discriminated by bioinformatics methods, suggesting it is promising to apply gut microbiota to forensic personal identification. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12934-022-01769-6.
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spelling pubmed-89441252022-03-25 Assess the diversity of gut microbiota among healthy adults for forensic application Wang, Shuangshuang Song, Feng Gu, Haoyu Shu, Zhilong Wei, Xiaowen Zhang, Ke Zhou, Yuxiang Jiang, Lanrui Wang, Zefei Li, Jienan Luo, Haibo Liang, Weibo Microb Cell Fact Research BACKGROUND: Human gut microbiota is individually unique that hints the microbiota in fecal traces left in the crime scene could act as a potential biomarker for forensic personal identification. Next-generation DNA sequencing and bioinformatic analysis of fecal samples are revolutionizing our insights into gut microbial communities. While the formation of the gut microbiota is known to be multifactorial, it is unclear whether these characteristics can be applied to forensic applications. Therefore, the gut microbiota of healthy adults with different traits was investigated in this study. RESULTS: Based on the STAMP analysis of each study group, the difference in gut microbiota composition of male and female subjects was observed. The male group was characterized by taxa in the phylum Proteobacteria, while the female group was described by Synergistetes phylum. The gut bacterial community assembly mechanism was mainly affected by the deterministic process. In addition, gut microbiota composition showed meaningful discrimination in each of the BMI groups. At the phylum level, in male subjects, increased representative phyla were Patescibacteria (p < 0.05) in the underweight group and Bacteroidetes (p < 0.05) in the normal-weight group, while in the female group, the significantly different phyla were Bacteroidetes, Firmicutes, and Actinobacteria. At the genus level, 44 unique genera were found to be significantly distinct across BMI study groups. By Fisher’s Linear Discriminant Analysis, ninety-four point four percent (94.4%) of original BMI grouped subjects were correctly classified. The linear regression analysis model showed an accuracy of seventy-four percent (74%) in predicting body type. CONCLUSION: In conclusion, subjects with different individual characters have specific gut microbiota, and can be discriminated by bioinformatics methods, suggesting it is promising to apply gut microbiota to forensic personal identification. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12934-022-01769-6. BioMed Central 2022-03-24 /pmc/articles/PMC8944125/ /pubmed/35331204 http://dx.doi.org/10.1186/s12934-022-01769-6 Text en © The Author(s) 2022 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
Wang, Shuangshuang
Song, Feng
Gu, Haoyu
Shu, Zhilong
Wei, Xiaowen
Zhang, Ke
Zhou, Yuxiang
Jiang, Lanrui
Wang, Zefei
Li, Jienan
Luo, Haibo
Liang, Weibo
Assess the diversity of gut microbiota among healthy adults for forensic application
title Assess the diversity of gut microbiota among healthy adults for forensic application
title_full Assess the diversity of gut microbiota among healthy adults for forensic application
title_fullStr Assess the diversity of gut microbiota among healthy adults for forensic application
title_full_unstemmed Assess the diversity of gut microbiota among healthy adults for forensic application
title_short Assess the diversity of gut microbiota among healthy adults for forensic application
title_sort assess the diversity of gut microbiota among healthy adults for forensic application
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8944125/
https://www.ncbi.nlm.nih.gov/pubmed/35331204
http://dx.doi.org/10.1186/s12934-022-01769-6
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