Yu Zhong, Gan Zhihao, Tawfik Ahmed, Meng Fangang
School of Environmental Science and Engineering, Sun Yat-sen University, Guangzhou 510006, China.
Guangdong Provincial Key Laboratory of Environmental Pollution Control and Remediation Technology, Sun Yat-sen University, Guangzhou 510275, China.
Eng Microbiol. 2024 Nov 9;4(4):100178. doi: 10.1016/j.engmic.2024.100178. eCollection 2024 Dec.
Interspecific interactions are an important component and a strong selective force in microbial communities. Over the past few decades, there has been a growing awareness of the variability in microbial interactions, and various studies are already unraveling the inner working dynamics in microbial communities. This has prompted scientists to develop novel techniques for characterizing the varying interspecific interactions among microbes. Here, we review the precise definitions of pairwise and high-order interactions, summarize the key concepts related to interaction variability, and discuss the strengths and weaknesses of emerging characterization techniques. Specifically, we found that most methods can accurately predict or provide direct information about microbial pairwise interactions. However, some of these methods inevitably mask the underlying high-order interactions in the microbial community. Making reasonable assumptions and choosing a characterization method to explore varying microbial interactions should allow us to better understand and engineer dynamic microbial systems.
种间相互作用是微生物群落的重要组成部分和强大的选择力量。在过去几十年里,人们越来越意识到微生物相互作用的变异性,并且各种研究已经在揭示微生物群落内部的作用动态。这促使科学家们开发新的技术来表征微生物之间不同的种间相互作用。在这里,我们回顾了成对相互作用和高阶相互作用的精确定义,总结了与相互作用变异性相关的关键概念,并讨论了新兴表征技术的优缺点。具体来说,我们发现大多数方法能够准确预测或提供有关微生物成对相互作用的直接信息。然而,其中一些方法不可避免地掩盖了微生物群落中潜在的高阶相互作用。做出合理假设并选择一种表征方法来探索不同的微生物相互作用,应该能让我们更好地理解和构建动态微生物系统。