Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA, 02138, USA.
The Forsyth Institute, Cambridge, MA, 02142, USA.
Genome Biol. 2020 Dec 16;21(1):293. doi: 10.1186/s13059-020-02200-2.
The increasing availability of microbial genomes and environmental shotgun metagenomes provides unprecedented access to the genomic differences within related bacteria. The human oral microbiome with its diverse habitats and abundant, relatively well-characterized microbial inhabitants presents an opportunity to investigate bacterial population structures at an ecosystem scale.
Here, we employ a metapangenomic approach that combines public genomes with Human Microbiome Project (HMP) metagenomes to study the diversity of microbial residents of three oral habitats: tongue dorsum, buccal mucosa, and supragingival plaque. For two exemplar taxa, Haemophilus parainfluenzae and the genus Rothia, metapangenomes reveal distinct genomic groups based on shared genome content. H. parainfluenzae genomes separate into three distinct subgroups with differential abundance between oral habitats. Functional enrichment analyses identify an operon encoding oxaloacetate decarboxylase as diagnostic for the tongue-abundant subgroup. For the genus Rothia, grouping by shared genome content recapitulates species-level taxonomy and habitat preferences. However, while most R. mucilaginosa are restricted to the tongue as expected, two genomes represent a cryptic population of R. mucilaginosa in many buccal mucosa samples. For both H. parainfluenzae and the genus Rothia, we identify not only limitations in the ability of cultivated organisms to represent populations in their native environment, but also specifically which cultivar gene sequences are absent or ubiquitous.
Our findings provide insights into population structure and biogeography in the mouth and form specific hypotheses about habitat adaptation. These results illustrate the power of combining metagenomes and pangenomes to investigate the ecology and evolution of bacteria across analytical scales.
微生物基因组和环境鸟枪法宏基因组的日益普及,为研究相关细菌的基因组差异提供了前所未有的机会。人类口腔微生物群具有多样的栖息地和丰富的、相对特征明确的微生物居民,为在生态系统尺度上研究细菌种群结构提供了机会。
在这里,我们采用了一种元基因组方法,该方法结合了公共基因组和人类微生物组计划(HMP)宏基因组,研究了三个口腔栖息地(舌背、颊粘膜和龈上菌斑)中微生物居民的多样性。对于两个典型的分类群,副流感嗜血杆菌和罗特希亚属,元基因组根据共享的基因组内容揭示了不同的基因组群体。副流感嗜血杆菌基因组分为三个不同的亚群,在口腔栖息地之间存在差异丰度。功能富集分析确定了一个编码草酰乙酸脱羧酶的操纵子,该酶可作为舌丰富亚群的诊断标志物。对于罗特希亚属,根据共享基因组内容进行分组再现了物种水平的分类和栖息地偏好。然而,虽然大多数罗特希亚粘膜炎仅限于舌上,正如预期的那样,但有两个基因组代表了许多颊粘膜样本中罗特希亚粘膜炎的一个隐匿种群。对于副流感嗜血杆菌和罗特希亚属,我们不仅确定了培养物在代表其原生环境中的种群方面的能力存在局限性,而且还确定了哪些培养物基因序列缺失或普遍存在。
我们的研究结果为口腔中的种群结构和生物地理学提供了新的见解,并提出了关于栖息地适应的具体假设。这些结果说明了结合宏基因组和泛基因组来研究不同分析尺度下细菌的生态和进化的能力。