Liu Xiaomin, Tong Xin, Zhu Jie, Tian Liu, Jie Zhuye, Zou Yuanqiang, Lin Xiaoqian, Liang Hewei, Li Wenxi, Ju Yanmei, Qin Youwen, Zou Leying, Lu Haorong, Zhu Shida, Jin Xin, Xu Xun, Yang Huanming, Wang Jian, Zong Yang, Liu Weibin, Hou Yong, Jia Huijue, Zhang Tao
BGI-Shenzhen, Shenzhen, Guangdong, China.
College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China.
Cell Discov. 2021 Dec 7;7(1):117. doi: 10.1038/s41421-021-00356-0.
The oral microbiota contains billions of microbial cells, which could contribute to diseases in many body sites. Challenged by eating, drinking, and dental hygiene on a daily basis, the oral microbiota is regarded as highly dynamic. Here, we report significant human genomic associations with the oral metagenome from more than 1915 individuals, for both the tongue dorsum (n = 2017) and saliva (n = 1915). We identified five genetic loci associated with oral microbiota at study-wide significance (p < 3.16 × 10). Four of the five associations were well replicated in an independent cohort of 1439 individuals: rs1196764 at APPL2 with Prevotella jejuni, Oribacterium uSGB 3339 and Solobacterium uSGB 315; rs3775944 at the serum uric acid transporter SLC2A9 with Oribacterium uSGB 1215, Oribacterium uSGB 489 and Lachnoanaerobaculum umeaense; rs4911713 near OR11H1 with species F0422 uSGB 392; and rs36186689 at LOC105371703 with Eggerthia. Further analyses confirmed 84% (386/455 for tongue dorsum) and 85% (391/466 for saliva) of host genome-microbiome associations including six genome-wide significant associations mutually validated between the two niches. As many of the oral microbiome-associated genetic variants lie near miRNA genes, we tentatively validated the potential of host miRNAs to modulate the growth of specific oral bacteria. Human genetics accounted for at least 10% of oral microbiome compositions between individuals. Machine learning models showed that polygenetic risk scores dominated over oral microbiome in predicting risk of dental diseases such as dental calculus and gingival bleeding. These findings indicate that human genetic differences are one explanation for a stable or recurrent oral microbiome in each individual.
口腔微生物群包含数十亿个微生物细胞,它们可能导致许多身体部位的疾病。由于每天受到饮食、饮水和口腔卫生的挑战,口腔微生物群被认为具有高度的动态性。在此,我们报告了来自1915多名个体的舌背(n = 2017)和唾液(n = 1915)的口腔宏基因组与人类基因组之间的显著关联。我们确定了五个在全研究范围内具有显著意义(p < 3.16×10)的与口腔微生物群相关的基因座。这五个关联中的四个在1439名个体的独立队列中得到了很好的重复:APPL2基因上的rs1196764与空肠普雷沃菌、uSGB 3339口腔杆菌和uSGB 315解脲杆菌相关;血清尿酸转运蛋白SLC2A9上的rs3775944与uSGB 1215口腔杆菌、uSGB 489口腔杆菌和乌梅拉赫诺厌氧芽孢杆菌相关;OR11H1附近的rs4911713与F0422 uSGB 392菌属相关;以及LOC105371703上的rs36186689与埃格氏菌相关。进一步的分析证实了84%(舌背为386/455)和85%(唾液为391/466)的宿主基因组-微生物组关联,包括在两个生态位之间相互验证的六个全基因组显著关联。由于许多与口腔微生物组相关的基因变异位于miRNA基因附近,我们初步验证了宿主miRNA调节特定口腔细菌生长的潜力。人类遗传学在个体间口腔微生物组组成中至少占10%。机器学习模型表明,多基因风险评分在预测牙石和牙龈出血等牙科疾病风险方面比口腔微生物组更具主导性。这些发现表明,人类遗传差异是个体口腔微生物组稳定或复发的一个原因。