Competition for fluctuating resources reproduces statistics of species abundance over time across wide-ranging microbiotas.
Competition for fluctuating resources reproduces statistics of species abundance over time across wide-ranging microbiotas.
复制标题
对波动资源的竞争再现了物种丰度随时间推移在广泛的微生物群落中的统计数据。
DOI：
10.7554/elife.75168
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发表时间：
2022-04-11
期刊：
影响因子：
7.7
通讯作者：
Huang, Kerwyn Casey
中科院分区：
文献类型：
--
作者：
Ho, Po-Yi;Good, Benjamin H.;Huang, Kerwyn Casey
关键词：
在不同的微生物区系中，物种丰富度随着时间的不同而不同，其独特的统计行为似乎在不同的宿主之间具有普遍性，但这些模式的起源和含义尚不清楚。在这里，我们表明，许多这样的宏观生态模式可以用一类简单的消费者-资源模型来定量概括，在这种模型中，不同物种的代谢能力是从共同的统计分布中随机提取的。我们的模型仅使用少量的全局参数，包括资源的总数、典型的资源随时间的波动，以及跨物种的资源消耗概况的平均重叠，来参数化群落的消费资源属性。我们发现，这些宏观参数的变化强烈地影响了模型产生的时间序列统计数据，我们识别了特定的全局参数集，这些参数可以概括广泛的微生物群的宏观生态模式，包括人类肠道、唾液和阴道，以及老鼠肠道和大米，而不需要具体说明资源消耗的微观细节。这些发现表明，资源竞争可能是社区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大量的时间序列模式，并提供了一个可访问的框架，以从对微生物群落的纵向研究中推断有效资源竞争的宏观参数。
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.