Proctor Diana M, Fukuyama Julia A, Loomer Peter M, Armitage Gary C, Lee Stacey A, Davis Nicole M, Ryder Mark I, Holmes Susan P, Relman David A
Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA, 94305, USA.
Infectious Diseases Section, Veterans Affairs Palo Alto Health Care System, Palo Alto, CA, 94304, USA.
Nat Commun. 2018 Feb 14;9(1):681. doi: 10.1038/s41467-018-02900-1.
Spatial and temporal patterns in microbial communities provide insights into the forces that shape them, their functions and roles in health and disease. Here, we used spatial and ecological statistics to analyze the role that saliva plays in structuring bacterial communities of the human mouth using >9000 dental and mucosal samples. We show that regardless of tissue type (teeth, alveolar mucosa, keratinized gingiva, or buccal mucosa), surface-associated bacterial communities vary along an ecological gradient from the front to the back of the mouth, and that on exposed tooth surfaces, the gradient is pronounced on lingual compared to buccal surfaces. Furthermore, our data suggest that this gradient is attenuated in individuals with low salivary flow due to Sjögren's syndrome. Taken together, our findings imply that salivary flow influences the spatial organization of microbial communities and that biogeographical patterns may be useful for understanding host physiological processes and for predicting disease.
微生物群落中的时空模式有助于深入了解塑造它们的力量、它们在健康和疾病中的功能及作用。在此,我们运用空间和生态统计学方法,利用9000多个牙齿和黏膜样本,分析唾液在构建人类口腔细菌群落中所起的作用。我们发现,无论组织类型(牙齿、牙槽黏膜、角化牙龈或颊黏膜)如何,与表面相关的细菌群落在口腔从前往后的生态梯度上存在差异,并且在暴露的牙齿表面,舌面的梯度比颊面更为明显。此外,我们的数据表明,由于干燥综合征导致唾液分泌量低的个体中,这种梯度会减弱。综上所述,我们的研究结果表明唾液分泌量会影响微生物群落的空间组织,生物地理模式可能有助于理解宿主生理过程和预测疾病。