Biodiversity Research Center, Academia Sinica, Taipei, 115, Taiwan.
Bioenergy Research Center, National Taiwan University, Taipei, Taiwan.
Sci Rep. 2020 Nov 11;10(1):19530. doi: 10.1038/s41598-020-73920-5.
Over the past decades, one main issue that has emerged in ecological and environmental research is how losses in biodiversity influence ecosystem dynamics and functioning, and consequently human society. Although biodiversity is a common indicator of ecosystem functioning, it is difficult to measure biodiversity in microbial communities exposed to subtle or chronic environmental perturbations. Consequently, there is a need for alternative bioindicators to detect, measure, and monitor gradual changes in microbial communities against these slight, chronic, and continuous perturbations. In this study, microbial networks before and after subtle perturbations by adding S. acidaminiphila showed diverse topological niches and 4-node motifs in which microbes with co-occurrence patterns played the central roles in regulating and adjusting the intertwined relationships among microorganisms in response to the subtle environmental changes. This study demonstrates that microbial networks are a good bioindicator for chronic perturbation and should be applied in a variety of ecological investigations.
在过去的几十年里，生态和环境研究中出现的一个主要问题是生物多样性的丧失如何影响生态系统的动态和功能，以及由此对人类社会产生的影响。尽管生物多样性是生态系统功能的一个常见指标，但在暴露于微妙或慢性环境干扰的微生物群落中，生物多样性很难测量。因此，需要替代生物指标来检测、衡量和监测微生物群落对这些细微、慢性和持续干扰的逐渐变化。在这项研究中，添加 S. acidaminiphila 后的微妙干扰前后的微生物网络显示出不同的拓扑生态位和 4 节点模式，其中具有共同发生模式的微生物在调节和调整微生物之间相互交织的关系方面发挥着核心作用，以响应微妙的环境变化。本研究表明，微生物网络是慢性干扰的良好生物指标，应应用于各种生态研究中。
