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重复微生物封闭生态系统中的偶然性和统计规律。

Contingency and statistical laws in replicate microbial closed ecosystems.

机构信息

Center for Studies in Physics and Biology and Laboratory of Living Matter, The Rockefeller University, 1230 York Avenue, New York, NY 10065, USA.

出版信息

Cell. 2012 May 25;149(5):1164-73. doi: 10.1016/j.cell.2012.03.040.

Abstract

Contingency, the persistent influence of past random events, pervades biology. To what extent, then, is each course of ecological or evolutionary dynamics unique, and to what extent are these dynamics subject to a common statistical structure? Addressing this question requires replicate measurements to search for emergent statistical laws. We establish a readily replicated microbial closed ecosystem (CES), sustaining its three species for years. We precisely measure the local population density of each species in many CES replicates, started from the same initial conditions and kept under constant light and temperature. The covariation among replicates of the three species densities acquires a stable structure, which could be decomposed into discrete eigenvectors, or "ecomodes." The largest ecomode dominates population density fluctuations around the replicate-average dynamics. These fluctuations follow simple power laws consistent with a geometric random walk. Thus, variability in ecological dynamics can be studied with CES replicates and described by simple statistical laws.

摘要

偶然性,即过去随机事件的持续影响,弥漫在生物学中。那么,生态或进化动态在多大程度上是独特的,而这些动态在多大程度上受到共同的统计结构的影响?要回答这个问题,需要进行重复测量以寻找新兴的统计规律。我们建立了一个易于复制的微生物封闭生态系统(CES),多年来维持着它的三个物种。我们在许多 CES 重复实验中精确地测量了每个物种的局部种群密度,这些重复实验从相同的初始条件开始,并在恒定的光照和温度下进行。三个物种密度的重复之间的协变获得了一个稳定的结构,可以分解为离散的特征向量,或“生态模式”。最大的生态模式主导着围绕重复平均值动态的种群密度波动。这些波动遵循简单的幂律,与几何随机游走一致。因此,生态动力学的可变性可以用 CES 重复实验来研究,并可以用简单的统计规律来描述。

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