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波动资源的竞争会在时间上再现广泛微生物群中物种丰度的统计数据。

Competition for fluctuating resources reproduces statistics of species abundance over time across wide-ranging microbiotas.

机构信息

Department of Bioengineering, Stanford University, Stanford, United States.

Department of Applied Physics, Stanford University, Stanford, United States.

出版信息

Elife. 2022 Apr 11;11:e75168. doi: 10.7554/eLife.75168.

Abstract

Across diverse microbiotas, species abundances vary in time with distinctive statistical behaviors that appear to generalize across hosts, but the origins and implications of these patterns remain unclear. Here, we show that many of these macroecological patterns can be quantitatively recapitulated by a simple class of consumer-resource models, in which the metabolic capabilities of different species are randomly drawn from a common statistical distribution. Our model parametrizes the consumer-resource properties of a community using only a small number of global parameters, including the total number of resources, typical resource fluctuations over time, and the average overlap in resource-consumption profiles across species. We show that variation in these macroscopic parameters strongly affects the time series statistics generated by the model, and we identify specific sets of global parameters that can recapitulate macroecological patterns across wide-ranging microbiotas, including the human gut, saliva, and vagina, as well as mouse gut and rice, without needing to specify microscopic details of resource consumption. These findings suggest that resource competition may be a dominant driver of community dynamics. Our work unifies numerous time series patterns under a simple model, and provides an accessible framework to infer macroscopic parameters of effective resource competition from longitudinal studies of microbial communities.

摘要

在不同的微生物群落中,物种丰度随时间变化,具有独特的统计特征,这些特征似乎在宿主间具有普遍性,但这些模式的起源和意义仍不清楚。在这里,我们表明,许多这些宏观生态模式可以通过一类简单的消费者-资源模型来定量再现,其中不同物种的代谢能力是从一个共同的统计分布中随机抽取的。我们的模型使用仅少数全局参数来参数化群落的消费者-资源特性,包括资源的总数、资源随时间的典型波动,以及物种之间资源消耗分布的平均重叠。我们表明,这些宏观参数的变化强烈影响模型生成的时间序列统计数据,并且我们确定了特定的全局参数集,这些参数集可以再现广泛的微生物群落中的宏观生态模式,包括人类肠道、唾液和阴道,以及老鼠肠道和水稻,而无需指定资源消耗的微观细节。这些发现表明,资源竞争可能是群落动态的主要驱动因素。我们的工作在一个简单的模型下统一了许多时间序列模式,并为从微生物群落的纵向研究中推断有效资源竞争的宏观参数提供了一个易于访问的框架。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d749/9000955/900609b72596/elife-75168-fig1.jpg

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