Evidence map›Paper›PMID 37353677›Full record

ArticleInternational journal of legal medicine2024

Explore variation of salivary bacteria across time and geolocations.

Shuangshuang Wang, Feng Song, Mengyuan Song, Xiaowen Wei, Yuxiang Zhou, Lanrui Jiang, Zefei Wang, Chaoran Sun, Hewen Yao, Weibo Liang and 1 more

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Article in International journal of legal medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Shuangshuang Wang *Department of Forensic Genetics, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, China.
Feng Song *Department of Forensic Genetics, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, China.
Mengyuan SongDepartment of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Xiaowen WeiDepartment of Forensic Genetics, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, China.
Yuxiang ZhouDepartment of Forensic Genetics, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, China.
Lanrui JiangDepartment of Forensic Genetics, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, China.
Zefei WangDepartment of Forensic Genetics, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, China.
Chaoran SunDepartment of Forensic Genetics, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, China.
Hewen YaoDepartment of Forensic Genetics, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, China.
Weibo LiangDepartment of Forensic Genetics, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, China. liangweibo@scu.edu.cn.
Haibo LuoDepartment of Forensic Genetics, West China School of Basic Medical Sciences & Forensic Medicine, Sichuan University, Chengdu, China. luohaibo@263.net.

Funding

National Natural Science Foundation of China 81772030
6 · The paper itself

Abstract

Saliva is an informative body fluid that can be found at various crime scenes, and the salivary bacterial community has been revealed it is a potential auxiliary target for forensic identification. However, the variation of salivary bacterial community composition across time and geolocation needs to be explored. The study was designed to be carried out during the winter vacation that was across about 50 days and eight geographic locations. The high throughput sequencing was performed with the V3-V4 region of the16S rRNA gene to explore salivary bacterial community composition. An overall slight fluctuation of the salivary bacteria was observed, which primarily occurred in the relative abundance of the salivary bacterial taxa. The results of principal coordinate analysis and hierarchical clustering showed samples were clustered by the individuals. All individuals could be correctly identified with the random forest model. In summation, although the relative abundance of salivary bacteria varied across the changes of time and geolocation, the individualized characteristic of salivary bacteria remained steady, which is beneficial for the salivary bacterial application in personal identification.

Indexed as

BacteriaBody FluidsHigh-Throughput Nucleotide SequencingHumansRNA, Ribosomal, 16SSalivaRNA, Ribosomal, 16SBacterial communityGeolocationPersonal identificationSalivaTime

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.