Metabolic interdependencies in thermophilic communities are revealed using co-occurrence and complementarity networks

作者：Xi Peng, Shang Wang, Miaoxiao Wang, Kai Feng, Qing He, Xingsheng Yang, Weiguo Hou, Fangru Li, Yuxiang Zhao, Baolan Hu, Xiao Zou, Ye Deng · 发表于：Nature Communications · 年份：2024 · DOI：10.1038/s41467-024-52532-x · 被引用次数：94 · 研究领域：Genomics and Phylogenetic Studies、Microbial Community Ecology and Physiology、Protein Structure and Dynamics

Microbial communities exhibit intricate interactions underpinned by metabolic dependencies. To elucidate these dependencies, we present a workflow utilizing random matrix theory on metagenome-assembled genomes to construct co-occurrence and metabolic complementarity networks. We apply this approach to a temperature gradient hot spring, unraveling the interplay between thermal stress and metabolic cooperation. Our analysis reveals an increase in the frequency of metabolic interactions with rising temperatures. Amino acids, coenzyme A derivatives, and carbohydrates emerge as key exchange metabolites, forming the foundation for syntrophic dependencies, in which commensalistic interactions take a greater proportion than mutualistic ones. These metabolic exchanges are most prevalent between phylogenetically distant species, especially archaea-bacteria collaborations, as a crucial adaptation to harsh environments. Furthermore, we identify a significant positive correlation between basal metabolite exchange and genome size disparity, potentially signifying a means for streamlined genomes to leverage cooperation with metabolically richer partners. This phenomenon is also confirmed by another composting system which has a similar wide range of temperature fluctuations. Our workflow provides a feasible way to decipher the metabolic complementarity mechanisms underlying microbial interactions, and our findings suggested environmental stress regulates the cooperative strategies of thermo...