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首页> 外文期刊>Physical Review X >Strongly Deterministic Population Dynamics in Closed Microbial Communities
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Strongly Deterministic Population Dynamics in Closed Microbial Communities

机译：封闭微生物群落的强确定性种群动态

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Biological systems are influenced by random processes at all scales, including molecular, demographic, and behavioral fluctuations, as well as by their interactions with a fluctuating environment. We previously established microbial closed ecosystems (CES) as model systems for studying the role of random events and the emergent statistical laws governing population dynamics. Here, we present long-term measurements of population dynamics using replicate digital holographic microscopes that maintain CES under precisely controlled external conditions while automatically measuring abundances of three microbial species via single-cell imaging. With this system, we measure spatiotemporal population dynamics in more than 60 replicate CES over periods of months. In contrast to previous studies, we observe strongly deterministic population dynamics in replicate systems. Furthermore, we show that previously discovered statistical structure in abundance fluctuations across replicate CES is driven by variation in external conditions, such as illumination. In particular, we confirm the existence of stable ecomodes governing the correlations in population abundances of three species. The observation of strongly deterministic dynamics, together with stable structure of correlations in response to external perturbations, points towards a possibility of simple macroscopic laws governing microbial systems despite numerous stochastic events present on microscopic levels.
机译：生物系统受到各种规模的随机过程的影响，包括分子，人口统计学和行为波动，以及它们与波动环境的相互作用。我们先前建立了微生物封闭生态系统（CES）作为模型系统，用于研究随机事件的作用以及控制人口动态的新兴统计定律。在这里，我们介绍了使用复制型数字全息显微镜对种群动态进行的长期测量，该数字显微镜将CES维持在精确控制的外部条件下，同时通过单细胞成像自动测量三种微生物的丰度。使用该系统，我们可以在几个月的时间内测量60多个重复CES中的时空种群动态。与以前的研究相比，我们在复制系统中观察到强烈的确定性种群动态。此外，我们表明，先前发现的重复CES内丰度波动的统计结构是由外部条件（例如光照）的变化驱动的。特别是，我们确认了存在稳定的生态模式，该模式控制着三种物种的种群丰度的相关性。对确定性强的动力学的观察以及对外部扰动的相关关系的稳定结构的观察表明，尽管存在微观水平上的许多随机事件，但仍可能存在一种简单的宏观规律来控制微生物系统。

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