Department of Organismic and Evolutionary Biology, Harvard Universitygrid.38142.3c, Cambridge, Massachusetts, USA.
The Forsyth Institute, Cambridge, Massachusetts, USA.
mBio. 2022 Dec 20;13(6):e0241422. doi: 10.1128/mbio.02414-22. Epub 2022 Oct 10.
Two major viewpoints have been put forward for how microbial populations change, differing in whether adaptation is driven principally by gene-centric or genome-centric processes. Longitudinal sampling at microbially relevant timescales, i.e., days to weeks, is critical for distinguishing these mechanisms. Because of its significance for both microbial ecology and human health and its accessibility and high level of curation, we used the oral microbiota to study bacterial intrapopulation genome dynamics. Metagenomes were generated by shotgun sequencing of total community DNA from the healthy tongues of 17 volunteers at four to seven time points obtained over intervals of days to weeks. We obtained 390 high-quality metagenome-assembled genomes (MAGs) defining population genomes from 55 genera. The vast majority of genes in each MAG were tightly linked over the 2-week sampling window, indicating that the majority of the population's genomes were temporally stable at the MAG level. MAG-defined populations were composed of up to 5 strains, as determined by single-nucleotide-variant frequencies. Although most were stable over time, individual strains carrying over 100 distinct genes that rose from low abundance to dominance in a population over a period of days were detected. These results indicate a genome-wide as opposed to a gene-level process of population change. We infer that genome-wide selection of ecotypes is the dominant mode of adaptation in the oral populations over short timescales. The oral microbiome represents a microbial community of critical relevance to human health. Recent studies have documented the diversity and dynamics of different bacteria to reveal a rich, stable ecosystem characterized by strain-level dynamics. However, bacterial populations and their genomes are neither monolithic nor static; their genomes are constantly evolving to lose, gain, or alter their functional potential. To better understand how microbial genomes change in complex communities, we used culture-independent approaches to reconstruct the genomes (MAGs) for bacterial populations that approximated different species, in 17 healthy donors' mouths over a 2-week window. Our results underscored the importance of strain-level dynamics, which agrees with and expands on the conclusions of previous research. Altogether, these observations reveal patterns of genomic dynamics among strains of oral bacteria occurring over a matter of days.
两种主要观点被提出来解释微生物种群的变化,其差异在于适应主要是由以基因为中心还是以基因组为中心的过程驱动。在微生物相关的时间尺度上进行纵向采样,即几天到几周,对于区分这些机制至关重要。由于其对微生物生态学和人类健康都具有重要意义,并且易于获取和具有高度的策管,我们使用口腔微生物组来研究细菌种群内的基因组动态。通过对 17 名志愿者健康舌头上的总群落 DNA 进行鸟枪法测序,在几天到几周的时间间隔内获得了 4 到 7 个时间点的宏基因组数据。我们从 55 个属中获得了 390 个高质量的宏基因组组装基因组(MAG),定义了种群基因组。每个 MAG 中的绝大多数基因在 2 周的采样窗口内紧密相连,这表明在 MAG 水平上,大多数种群的基因组在时间上是稳定的。通过单核苷酸变异频率确定,MAG 定义的种群由多达 5 个菌株组成。虽然大多数菌株随时间稳定,但在几天内,一些菌株携带超过 100 个不同的基因,这些基因从低丰度上升到在种群中占主导地位。这些结果表明,种群变化是一个全基因组的过程,而不是一个基因水平的过程。我们推断,在短时间内,生态型的全基因组选择是口腔种群适应的主要模式。口腔微生物组代表了对人类健康具有重要意义的微生物群落。最近的研究记录了不同细菌的多样性和动态,揭示了一个以菌株水平动态为特征的丰富而稳定的生态系统。然而,细菌种群及其基因组既不是单一的也不是静态的;它们的基因组在不断进化,以失去、获得或改变它们的功能潜力。为了更好地了解复杂群落中微生物基因组如何变化,我们使用非培养方法来重建 17 名健康供体在 2 周窗口内口腔中不同细菌种群的基因组(MAGs)。我们的结果强调了菌株水平动态的重要性,这与之前的研究结论一致,并进一步扩展了这些结论。总的来说,这些观察结果揭示了口腔细菌菌株在几天内发生的基因组动态模式。