Flow cytometric monitoring of the bacterial phenotypic diversity in aquatic ecosystems

Flow cytometry is a promising tool used to identify the phenotypic features of bacterial communities in aquatic ecosystems by measuring the physical and chemical properties of cells based on their light scattering behavior and fluorescence. Compared to molecular or culture-based approaches, flow cytometry is suitable for the online monitoring of microbial water quality because of its relatively simple sample preparation process, rapid analysis time, and high-resolution phenotypic data. Advanced statistical techniques (e.g., denoising and binning) can be utilized to successfully calculate phenotypic diversity by processing the scatter data obtained from flow cytometry. These phenotypic diversities were well correlated with taxonomic-based diversity computed using next-generation 16S RNA gene sequencing. The protocol provided in this paper should be a useful guide for a fast and reliable flow cytometric monitoring of bacterial phenotypic diversity in aquatic ecosystems.

Automated summary

Flow cytometry is a promising tool for identifying phenotypic features of bacterial communities in aquatic ecosystems through measuring light scattering and fluorescence of cells. Advanced statistical techniques can be used to calculate phenotypic diversity based on scatter data obtained from flow cytometry, which shows high correlation with taxonomic diversity computed using next-generation 16S RNA gene sequencing. The protocol provided in this paper serves as a useful guide for fast and reliable flow cytometric monitoring of bacterial phenotypic diversity in aquatic ecosystems.