RIKEN Center for Biosystems Dynamics Research, 6-2-3 Furuedai, Suita, Osaka, 565-0874, Japan; Center for Information and Neural Networks (CiNet), National Institute of Information and Communications Technology (NICT), Osaka, Japan; Institute for Transdisciplinary Graduate Degree Programs, Osaka University, 1-5 Yamadaoka, Suita, Osaka, 565-0871, Japan; Life and Medical Sciences Area, Health Sciences Discipline, Kobe University, Tomogaoka 7-10-2, Suma-ku, Kobe, Hyogo, 654-0142, Japan.
Graduate School of Information Science and Technology, Osaka University, 1-5 Yamadaoka, Suita, Osaka, 565-0871, Japan.
Biosystems. 2024 Jan;235:105087. doi: 10.1016/j.biosystems.2023.105087. Epub 2023 Nov 19.
Simultaneous understanding of both population and ecosystem dynamics is crucial in an era marked by the degradation of ecosystem services. Experimental ecosystems are a powerful tool for understanding these dynamics; however, they often face technical challenges, typically falling into two categories: "complex but with limited replicability microcosms" and "highly replicable but overly simplistic microcosms." Herein, we present a high-throughput synthetic microcosm system comprising 12 functionally and phylogenetically diverse microbial species. These species are axenically culturable, cryopreservable, and can be measured noninvasively via microscopy, aided by machine learning. This system includes prokaryotic and eukaryotic producers and decomposers, and eukaryotic consumers to ensure functional redundancy. Our model system exhibited key features of a complex ecosystem: (i) various positive and negative interspecific interactions, (ii) higher-order interactions beyond two-species dynamics, (iii) probabilistic dynamics leading to divergent outcomes, and (iv) stable nonlinear transitions. We identified several conditions under which at least one species from each of the three functional groups-producers, consumers, and decomposers-and one functionally redundant species, persisted for over six months. These conditions set the stage for detailed investigations in the future. Given its designability and experimental replicability, our model ecosystem offers a promising platform for deeper insights integrating both population and ecosystem dynamics.
在生态系统服务退化的时代,同时了解种群和生态系统动态至关重要。实验生态系统是理解这些动态的有力工具;然而,它们通常面临技术挑战,通常分为两类:“复杂但可复制性有限的微宇宙”和“高度可复制但过于简单的微宇宙”。在此,我们提出了一种高通量合成微宇宙系统,该系统由 12 个具有功能和系统发育多样性的微生物物种组成。这些物种可以在无菌条件下培养、冷冻保存,并且可以通过显微镜进行非侵入性测量,借助机器学习来辅助。该系统包括原核生物和真核生物生产者和分解者,以及真核生物消费者,以确保功能冗余。我们的模型系统表现出复杂生态系统的关键特征:(i)各种正相互作用和负相互作用,(ii)超越两种生物动态的更高阶相互作用,(iii)导致分歧结果的概率动态,以及(iv)稳定的非线性转变。我们确定了至少有一个来自三个功能组(生产者、消费者和分解者)的物种,以及一个功能上冗余的物种在六种以上条件下持续存在超过六个月。这些条件为未来的详细研究奠定了基础。鉴于其可设计性和实验可重复性,我们的模型生态系统为深入了解同时包括种群和生态系统动态的提供了一个很有前途的平台。