Su Peng, Tchourine Konstantine, Vitkup Dennis
bioRxiv. 2024 Nov 29:2024.11.28.625948. doi: 10.1101/2024.11.28.625948.
Macroecological relationships that describe various statistical associations between species' abundances, their spatial, and temporal variability are among the most general laws in ecology and biology. One of the most commonly observed relationships is a power-law scaling between means and variances of temporal species abundances, known in ecology as Taylor's law. Taylor's law has been observed across many ecosystems, from diverse plant and animal ecosystems to complex microbial communities. While many mathematical models have been proposed to explain the potential origins of Taylor's law, what determines its scaling exponents across species and ecosystems is not understood. Here, we use temporal trajectories of human and baboon gut microbiota to analyze the relationship between functional properties of individual bacterial species and microbial communities with the scaling of species-specific and community-level Taylor's law. The species Taylor law characterizes - for each individual species - the relationship between the species' temporal abundance means and temporal abundance variances across host organisms. On the other hand, community-level Taylor's law characterizes - in each host organism - the scaling across multiple species between their temporal abundance means and temporal abundance variances. For community Taylor's law, we find that the power law scaling is strongly associated with the microbiota abundance of certain nutrient-degrading enzymes in the gut. Notably, our results demonstrate that the availability of enzymes metabolizing starch glycogen significantly increases Taylor's law scaling. We also find that species Taylor's law depends on the individual species' functional properties. Specifically, we observe lower Taylor's law scaling for species with larger metabolic networks, for species that are able to grow on a larger number of carbon sources, and for species with particular metabolic functions, such as glutamine and folate metabolism. Overall, our study reveals that Taylor's law scaling is strongly associated with the functional capabilities of bacterial communities and individual microbial species' biosynthetic properties, which are likely related to their ecological roles in the gut microbiota.
描述物种丰度、空间和时间变异性之间各种统计关联的宏观生态关系是生态学和生物学中最普遍的规律之一。最常观察到的关系之一是时间物种丰度的均值和方差之间的幂律缩放,在生态学中称为泰勒定律。泰勒定律已在许多生态系统中被观察到,从多样的动植物生态系统到复杂的微生物群落。虽然已经提出了许多数学模型来解释泰勒定律的潜在起源,但跨物种和生态系统决定其缩放指数的因素尚不清楚。在这里,我们使用人类和狒狒肠道微生物群的时间轨迹来分析单个细菌物种的功能特性与微生物群落之间的关系,以及物种特异性和群落水平的泰勒定律的缩放情况。物种泰勒定律描述了——对于每个个体物种——宿主生物体中物种时间丰度均值与时间丰度方差之间的关系。另一方面,群落水平的泰勒定律描述了——在每个宿主生物体中——多个物种的时间丰度均值与时间丰度方差之间的缩放关系。对于群落泰勒定律,我们发现幂律缩放与肠道中某些营养物质降解酶的微生物群丰度密切相关。值得注意的是,我们的结果表明,代谢淀粉糖原的酶的可用性显著增加了泰勒定律的缩放。我们还发现物种泰勒定律取决于单个物种的功能特性。具体而言,我们观察到代谢网络较大的物种、能够在更多碳源上生长的物种以及具有特定代谢功能(如谷氨酰胺和叶酸代谢)的物种的泰勒定律缩放较低。总体而言,我们的研究表明,泰勒定律缩放与细菌群落的功能能力和单个微生物物种的生物合成特性密切相关,这可能与它们在肠道微生物群中的生态作用有关。