用于推断唾液沉积时间的微生物群落继承变化。

IF 3 3区 生物学 Q2 BIOCHEMICAL RESEARCH METHODS
Xiaoye Jin, Shunyi Tian, Hongling Zhang, Zheng Ren, Qiyan Wang, Yubo Liu, Hao Zheng, Meiqing Yang, Jiang Huang
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引用次数: 0

摘要

唾液是犯罪现场常见的生物检查材料,在法医案件调查中具有很高的应用价值。它可以反映犯罪嫌疑人在现场的作案时间,为犯罪嫌疑人的犯罪事实提供证据。尽管许多研究者都提出了各自的唾液沉积时间(TsD)估算实验方案,但利用微生物估算唾液沉积时间(TsD)的研究仍相对缺乏。在本研究中,我们探讨了不同TsD值唾液中微生物群落的演替变化,以发现与唾液TsD相关的微生物标记。我们收集了居住在中国贵州的六名无血缘关系的健康汉族人的唾液样本,并在六个时间点(0、1、3、7、15 和 28 天)将这些样本暴露在室内环境中。通过 16S rRNA 测序(V3-V4 区域)研究了这些样本中微生物组成的时间变化。通过评估属级微生物丰度的时间变化模式,观察到四种细菌(布鲁氏菌、普雷沃特氏菌、假单胞菌和镰刀菌)在这些样本中表现出良好的时间依赖性。此外,分层聚类和主坐标分析结果显示,这些唾液样本可分为 t 短(≤7 天)和 t 长(>7 天)两组。最后,建立了随机森林模型来预测这些样本的TsD。该模型的均方根误差、R2 和预测值与实际 TsD 值之间的平均绝对误差分别为 1.5213、0.9851 和 1.1969。总之,我们在唾液样本中发现了与 TsD 相关的微生物标记物,它们可被视为推断唾液 TsD 的重要标记物。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Succession changes of microbial community for inferring the time since deposition of saliva

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, R2, 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.

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来源期刊
ELECTROPHORESIS
ELECTROPHORESIS 生物-分析化学
CiteScore
6.30
自引率
13.80%
发文量
244
审稿时长
1.9 months
期刊介绍: ELECTROPHORESIS is an international journal that publishes original manuscripts on all aspects of electrophoresis, and liquid phase separations (e.g., HPLC, micro- and nano-LC, UHPLC, micro- and nano-fluidics, liquid-phase micro-extractions, etc.). Topics include new or improved analytical and preparative methods, sample preparation, development of theory, and innovative applications of electrophoretic and liquid phase separations methods in the study of nucleic acids, proteins, carbohydrates natural products, pharmaceuticals, food analysis, environmental species and other compounds of importance to the life sciences. Papers in the areas of microfluidics and proteomics, which are not limited to electrophoresis-based methods, will also be accepted for publication. Contributions focused on hyphenated and omics techniques are also of interest. Proteomics is within the scope, if related to its fundamentals and new technical approaches. Proteomics applications are only considered in particular cases. Papers describing the application of standard electrophoretic methods will not be considered. Papers on nanoanalysis intended for publication in ELECTROPHORESIS should focus on one or more of the following topics: • Nanoscale electrokinetics and phenomena related to electric double layer and/or confinement in nano-sized geometry • Single cell and subcellular analysis • Nanosensors and ultrasensitive detection aspects (e.g., involving quantum dots, "nanoelectrodes" or nanospray MS) • Nanoscale/nanopore DNA sequencing (next generation sequencing) • Micro- and nanoscale sample preparation • Nanoparticles and cells analyses by dielectrophoresis • Separation-based analysis using nanoparticles, nanotubes and nanowires.
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