Dedrick Sandra, Akbari M Javad, Dyckman Samantha K, Zhao Nannan, Liu Yang-Yu, Momeni Babak
Department of Biology, Boston College, Chestnut Hill, MA, United States.
Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, United States.
Front Microbiol. 2021 Feb 10;12:613109. doi: 10.3389/fmicb.2021.613109. eCollection 2021.
To manipulate nasal microbiota for respiratory health, we need to better understand how this microbial community is assembled and maintained. Previous work has demonstrated that the pH in the nasal passage experiences temporal fluctuations. Yet, the impact of such pH fluctuations on nasal microbiota is not fully understood. Here, we examine how temporal fluctuations in pH might affect the coexistence of nasal bacteria in communities. We take advantage of the cultivability of nasal bacteria to experimentally assess their responses to pH and the presence of other species. Based on experimentally observed responses, we formulate a mathematical model to numerically investigate the impact of temporal pH fluctuations on species coexistence. We assemble nasal communities using up to 20 strains that resemble the isolates that we have experimentally characterized. We then subject these communities to pH fluctuations and assess how the community composition and coexistence is impacted. Using this model, we then simulate pH fluctuations-varying in amplitude or frequency-to identify conditions that best support species coexistence. We find that the composition of nasal communities is generally robust against pH fluctuations within the expected range of amplitudes and frequencies. Our results also show that cooperative communities and communities with lower niche overlap have significantly lower composition deviations when exposed to temporal pH fluctuations. Overall, our data suggest that nasal microbiota could be robust against environmental fluctuations.
为了通过调控鼻腔微生物群来促进呼吸道健康,我们需要更好地了解这个微生物群落是如何组装和维持的。先前的研究表明,鼻腔内的pH值会随时间波动。然而,这种pH值波动对鼻腔微生物群的影响尚未完全了解。在这里,我们研究pH值的时间波动如何影响鼻腔细菌在群落中的共存。我们利用鼻腔细菌的可培养性,通过实验评估它们对pH值和其他物种存在的反应。基于实验观察到的反应,我们建立了一个数学模型,以数值方式研究pH值的时间波动对物种共存的影响。我们使用多达20种菌株组装鼻腔群落,这些菌株类似于我们已通过实验表征的分离株。然后,我们让这些群落经历pH值波动,并评估群落组成和共存情况受到的影响。利用这个模型,我们随后模拟不同幅度或频率的pH值波动,以确定最有利于物种共存的条件。我们发现,在预期的幅度和频率范围内,鼻腔群落的组成通常对pH值波动具有较强的抗性。我们的结果还表明,合作性群落和生态位重叠较低的群落,在受到pH值的时间波动影响时,组成偏差显著较小。总体而言,我们的数据表明鼻腔微生物群可能对环境波动具有较强的抗性。