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微生物相互作用中的生态进化动力学。

Eco-evolutionary dynamics in microbial interactions.

机构信息

Institute of Agricultural and Life Sciences, Academic Assembly, Shimane University, 1060 Nishikawatsu-Cho, Matsue, 690-8504, Japan.

出版信息

Sci Rep. 2023 Jun 3;13(1):9042. doi: 10.1038/s41598-023-36221-1.

Abstract

Microbes play an important role in ecosystem functioning and human health. A key feature of microbial interactions is a feedback system in which they modify the physical environment and react to it. Recently, it has been shown that the ecological consequences of microbial interactions driven by the modification of their surrounding pH environment can be predicted from the effects of their metabolic properties on pH. The optimum environmental pH for a given species can adaptively change in response to the changes in environmental pH that are induced by them. However, the mechanisms underlying the effect of these adaptive changes in pH niche on microbial coexistence are yet to be explored. In this study, I theoretically demonstrate that ecological theory can only accurately predict the qualitative ecological consequences if the growth and pH change rates are the same for each species, which suggests that adaptive pH niche changes can generally make ecological consequence predictions based on ecological theory difficult.

摘要

微生物在生态系统功能和人类健康中发挥着重要作用。微生物相互作用的一个关键特征是反馈系统,在这个系统中,它们会改变物理环境并对其做出反应。最近,研究表明,微生物相互作用的生态后果可以通过它们的代谢特性对 pH 值的影响来预测,这些相互作用是由它们周围 pH 值环境的改变所驱动的。在给定的环境 pH 值下,最佳的环境 pH 值可以自适应地变化,以响应它们引起的环境 pH 值的变化。然而,这些 pH 值生态位适应性变化对微生物共存的影响的机制尚未得到探索。在这项研究中,我从理论上证明,如果每种微生物的生长和 pH 值变化率相同,那么生态理论只能准确地预测定性的生态后果,这表明适应性 pH 值生态位变化通常会使基于生态理论的生态后果预测变得困难。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4ba2/10239498/374d3b70a3c9/41598_2023_36221_Fig1_HTML.jpg

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