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Single-Cell Techniques in Environmental Microbiology

Processes 2023 5 citations ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count. Score: 35 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Yuting Guo Yuting Guo Yongping Shan, Yuting Guo Wentao Jiao, Wentao Jiao, Yongping Shan, Ping Zeng, Wentao Jiao, Wentao Jiao, Yuting Guo

Summary

This review examines single-cell techniques used in environmental microbiology, covering microscopic observation, sequencing-based identification, flow cytometric isolation, and Raman spectroscopy-based approaches for characterizing individual microorganisms in complex environmental samples. The authors argue that single-cell technologies reveal cell heterogeneity and rare populations that bulk biological methods obscure, offering higher resolution for studying microbial ecology and pollutant degraders.

Environmental microbiology has been an essential part of environmental research because it provides effective solutions to most pollutants. Hence, there is an interest in investigating microorganism behavior, such as observation, identification, isolation of pollutant degraders, and interactions between microbial species. To comprehensively understand cell heterogeneity, diverse approaches at the single-cell level are demanded. Thus far, the traditional bulk biological tools such as petri dishes are technically challenging for single cells, which could mask the heterogeneity. Single-cell technologies can reveal complex and rare cell populations by detecting heterogeneity among individual cells, which offers advantages of higher resolution, higher throughput, more accurate analysis, etc. Here, we overviewed several single-cell techniques on observation, isolation, and identification from aspects of methods and applications. Microscopic observation, sequencing identification, flow cytometric identification and isolation, Raman spectroscopy-based identification and isolation, and their applications are mainly discussed. Further development on multi-technique integrations at the single-cell level may highly advance the research progress of environmental microbiology, thereby giving more indication in the environmental microbial ecology.

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