Liu Zhenghua, Wang Jianjun, Meng Delong, Li Liangzhi, Liu Xueduan, Gu Yabing, Yan Qingyun, Jiang Chengying, Yin Huaqun
School of Minerals Processing and Bioengineering, Key Laboratory of Biometallurgy of Ministry of Education, Central South University, Changsha 410083, China.
State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China.
Biology (Basel). 2022 Apr 13;11(4):592. doi: 10.3390/biology11040592.
Evolutionary and ecological processes are primary drivers of ecological network constrictions. However, the ways that these processes underpin self-organization and modularity in networks are poorly understood. Here, we performed network analyses to explore the evolutionary and ecological effects on global marine microbial co-occurrence networks across multiple network levels, including those of nodes, motifs, modules and whole networks. We found that both direct and indirect species interactions were evolutionarily and ecologically constrained across at least four network levels. Compared to ecological processes, evolutionary processes generally showed stronger long-lasting effects on indirect interactions and dominated the network assembly of particle-associated communities in spatially homogeneous environments. Regarding the large network path distance, the contributions of either processes to species interactions generally decrease and almost disappear when network path distance is larger than six. Accordingly, we developed a novel mathematical model based on scale-free networks by considering the joint effects of evolutionary and ecological processes. We simulated the self-organization of microbial co-occurrence networks and found that long-lasting effects increased network stability via decreasing link gain or loss. Overall, these results revealed that evolutionary and ecological processes played key roles in the self-organization and modularization of microbial co-occurrence networks.
进化和生态过程是生态网络收缩的主要驱动因素。然而，这些过程如何支撑网络中的自组织和模块化，目前还知之甚少。在这里，我们进行了网络分析，以探讨进化和生态对多个网络层次上的全球海洋微生物共现网络的影响，这些层次包括节点、基序、模块和整个网络。我们发现，直接和间接的物种相互作用在至少四个网络层次上受到进化和生态的限制。与生态过程相比，进化过程通常对间接相互作用表现出更强的长期影响，并主导了空间均匀环境中与颗粒相关群落的网络组装。对于较大的网络路径距离，当网络路径距离大于6时，这两种过程对物种相互作用的贡献通常会降低并几乎消失。因此，我们通过考虑进化和生态过程的联合效应，基于无标度网络开发了一种新的数学模型。我们模拟了微生物共现网络的自组织，发现长期效应通过降低链接增益或损失提高了网络稳定性。总体而言，这些结果表明，进化和生态过程在微生物共现网络的自组织和模块化中发挥了关键作用。
