Exploring interspecific interaction variability in microbiota: A review

Abstract

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.

Keywords

Microbial community / Interspecific interaction / Interaction variability / Variability mechanism / Interaction characterization

Declaration of AI in Scientific Writing

No generative artificial intelligence (AI) and AI-assisted technologies were used in the writing process.

Declaration of Competing Interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in his paper.

CRediT authorship contribution statement

Zhong Yu: Writing - review & editing, Writing - original draft, Visualization, Investigation, Funding acquisition, Conceptualization. Zhihao Gan: Writing - original draft, Investigation. Ahmed Tawfik: Writing - review & editing, Funding acquisition. Fangang Meng: Writing - review & editing, Supervision, Funding acquisition, Conceptualization.

Acknowledgments

This work was supported by the National Natural Science Foundation of China (32161143031 and 52300072).

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