Succession changes of microbial community for inferring the time since deposition of saliva

被引:0
作者
Jin, Xiaoye [1 ]
Tian, Shunyi [1 ]
Zhang, Hongling [1 ]
Ren, Zheng [1 ]
Wang, Qiyan [1 ]
Liu, Yubo [1 ]
Zheng, Hao [1 ]
Yang, Meiqing [1 ]
Huang, Jiang [1 ]
机构
[1] Guizhou Med Univ, Dept Forens Med, Guiyang, Peoples R China
基金
中国国家自然科学基金;
关键词
16S rRNA; microbial community; saliva; time since deposition; IDENTIFICATION;
D O I
10.1002/elps.202300267
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Saliva is a common biological examination material at crime scenes and has high application value in forensic case investigations. It can reflect the suspect's time of crime at the scene and provide evidence of the suspect's criminal facts. Even though many researchers have proposed their experimental protocols for estimating the time since deposition (TsD) of saliva, there is still a relative lack of research on the use of microorganisms to estimate TsD. In the current study, the succession change of microbial community in saliva with different TsD values was explored to discern the microbial markers related to TsD of saliva. We gathered saliva samples from six unrelated healthy Han individuals living in Guizhou, China and exposed these samples to indoor conditions at six time points (0, 1, 3, 7, 15, and 28 days). Temporal changes of microbial compositions in these samples were investigated by 16S rRNA sequencing (V3-V4 regions). By assessing temporal variation patterns of microbial abundance at the genus level, four bacteria (Brucella, Prevotella, Pseudomonas, and Fusobacterium) were observed to show good time dependence in these samples. In addition, the hierarchical clustering and principal co-ordinates analysis results revealed that these saliva samples could be classified into t-short (<= 7 days) and t-long (>7 days) groups. In the end, the random forest model was developed to predict the TsD of these samples. For the model, the root mean square error, R-2, and mean absolute error between predicted and actual TsD values were 1.5213, 0.9851, and 1.1969, respectively. To sum up, we identified TsD-related microbial markers in saliva samples, which could be viewed as valuable markers for inferring the TsD of saliva.
引用
收藏
页码:1644 / 1653
页数:10
相关论文
共 27 条
  • [21] Are We Really Vastly Outnumbered? Revisiting the Ratio of Bacterial to Host Cells in Humans
    Sender, Ron
    Fuchs, Shai
    Milo, Ron
    [J]. CELL, 2016, 164 (03) : 337 - 340
  • [22] Analysis of body fluids for forensic purposes: From laboratory testing to non-destructive rapid confirmatory identification at a crime scene
    Virkler, Kelly
    Lednev, Igor K.
    [J]. FORENSIC SCIENCE INTERNATIONAL, 2009, 188 (1-3) : 1 - 17
  • [23] Estimating the time since deposition (TsD) in saliva stains using temporal changes in microbial markers
    Wang, Jiaqi
    Cheng, Xiaojuan
    Zhang, Jun
    Liu, Zidong
    Cheng, Feng
    Yan, Jiangwei
    Zhang, Gengqian
    [J]. FORENSIC SCIENCE INTERNATIONAL-GENETICS, 2022, 60
  • [24] Practical evaluation of an RNA-based saliva identification method
    Watanabe, Ken
    Akutsu, Tomoko
    Takamura, Ayari
    Sakurada, Koichi
    [J]. SCIENCE & JUSTICE, 2017, 57 (06) : 404 - 408
  • [25] A bacterial signature-based method for the identification of seven forensically relevant human body fluids
    Wohlfahrt, Denise
    Tan-Torres, Antonio Limjuco
    Green, Raquel
    Brim, Kathleen
    Bradley, Najai
    Brand, Angela
    Abshier, Eric
    Nogales, Francy
    Babcock, Kailey
    Brooks, J. Paul
    Seashols-Williams, Sarah
    Singh, Baneshwar
    [J]. FORENSIC SCIENCE INTERNATIONAL-GENETICS, 2023, 65
  • [26] Impact of inter- and intra-individual variation, sample storage and sampling fraction on human stool microbial community profiles
    Yeoh, Yun Kit
    Chen, Zigui
    Hui, Mamie
    Wong, Martin C. S.
    Ho, Wendy C. S.
    Chin, Miu Ling
    Ng, Siew C.
    Chan, Francis K. L.
    Chan, Paul K. S.
    [J]. PEERJ, 2019, 7
  • [27] Defining the healthy "core microbiome" of oral microbial communities
    Zaura, Egija
    Keijser, Bart J. F.
    Huse, Susan M.
    Crielaard, Wim
    [J]. BMC MICROBIOLOGY, 2009, 9