Combined analysis of the microbiome and metabolome to reveal the characteristics of saliva from different diets: a comparison among vegans, seafood-based omnivores, and red meat (beef and lamb) omnivores

Shiyu Sun, Huiqiong Zhang, Linying Ye, Litao Huang, Jieyu Du, Xiaomin Liang, Xiaofeng Zhang, Jiaxing Chen, Yingping Jiang, Ling Chen
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Abstract

Revealing individual characteristics is supportive for identifying individuals in forensic crime. As saliva is one of the most common biological samples used in crime scenes, it is important to make full use of the rich individual information contained in saliva. The aim of this study was to explore the application of the microbiome in forensic science by analysing differences in the salivary microbiome and metabolome of healthy individuals with different dietary habits.We performed 16S rDNA sequencing analysis based on oral saliva samples collected from 12 vegetarians, 12 seafood omnivores and 12 beef and lamb omnivores. Non-targeted metabolomics analyses were also performed based on saliva samples from healthy individuals.The results showed that the dominant flora of vegetarians was dominated by Neisseria (belonging to the phylum Proteobacteria), while seafood omnivores and beef and lamb omnivores were dominated by Streptococcus (belonging to the phylum Firmicutes). NDMS-based and cluster analyses showed that vegetarian dieters were significantly differentiated from meat dieters (seafood omnivores and beef and lamb omnivores), which may be related to the fact that high-fiber diets can create a different salivary flora structure. Variants were also detected in salivary metabolic pathways, including positive correlations with Lipid metabolism, Amino acid metabolism, Carbohydrate metabolism, and Nucleotide metabolism in vegetarians, and correlations in seafood omnivores. In order to select salivary microorganisms and metabolic markers that can distinguish different dietary profiles, a random forest classifier model was constructed in this study, and the results showed that individuals with different dietary profiles could be successfully distinguished based on the core genera and metabolites such as Streptococcus, Histidinyl-Valine.Our study provides a supportive basis for the application of salivary polyomics in order to reveal the dietary characteristics of individuals for forensic investigation and crime solving.
综合分析微生物组和代谢组,揭示不同饮食习惯的唾液特征:素食者、海鲜杂食者和红肉(牛肉和羊肉)杂食者之间的比较
揭示个体特征有助于鉴别法医犯罪中的个体。由于唾液是犯罪现场最常用的生物样本之一,因此充分利用唾液中蕴含的丰富个体信息非常重要。本研究旨在通过分析不同饮食习惯的健康人唾液微生物组和代谢组的差异,探索微生物组在法医学中的应用。我们根据从 12 名素食者、12 名海鲜杂食者和 12 名牛羊肉杂食者采集的口腔唾液样本进行了 16S rDNA 测序分析。结果显示,素食者的优势菌群主要是奈瑟氏菌(属于变形菌门),而海鲜杂食者和牛羊肉杂食者的优势菌群主要是链球菌(属于真菌门)。基于 NDMS 和聚类的分析表明,素食者与肉食者(海鲜杂食者和牛羊肉杂食者)有显著差异,这可能与高纤维饮食会产生不同的唾液菌群结构有关。在唾液代谢途径中也发现了变异,包括与素食者的脂质代谢、氨基酸代谢、碳水化合物代谢和核苷酸代谢呈正相关,以及与海鲜杂食者的相关。为了选择能够区分不同饮食特征的唾液微生物和代谢标记物,本研究构建了一个随机森林分类器模型,结果表明,根据链球菌、组苷缬氨酸等核心菌属和代谢产物,可以成功区分不同饮食特征的个体。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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