Department of Biology and Chemistry, California State University, Monterey Bay, Seaside, California, USA.
Department of Plant Pathology, University of Minnesota, St. Paul, Minnesota, USA; email:
Annu Rev Phytopathol. 2023 Sep 5;61:403-423. doi: 10.1146/annurev-phyto-021021-041457. Epub 2023 May 22.
Plant and soil microbiomes are integral to the health and productivity of plants and ecosystems, yet researchers struggle to identify microbiome characteristics important for providing beneficial outcomes. Network analysis offers a shift in analytical framework beyond "who is present" to the organization or patterns of coexistence between microbes within the microbiome. Because microbial phenotypes are often significantly impacted by coexisting populations, patterns of coexistence within microbiomes are likely to be especially important in predicting functional outcomes. Here, we provide an overview of the how and why of network analysis in microbiome research, highlighting the ways in which network analyses have provided novel insights into microbiome organization and functional capacities, the diverse network roles of different microbial populations, and the eco-evolutionary dynamics of plant and soil microbiomes.
植物和土壤微生物组是植物和生态系统健康和生产力的组成部分，但研究人员难以确定对提供有益结果重要的微生物组特征。网络分析提供了一种超越“谁存在”的分析框架的转变，转而关注微生物组内微生物之间的共存组织或模式。由于微生物表型通常受到共存种群的显著影响，因此微生物组内的共存模式很可能在预测功能结果方面特别重要。在这里，我们概述了网络分析在微生物组研究中的方法和原因，重点介绍了网络分析如何为微生物组组织和功能能力、不同微生物种群的多样化网络角色以及植物和土壤微生物组的生态进化动态提供新的见解。
