- Flow cytometric monitoring of the bacterial phenotypic diversity in aquatic ecosystems
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Jin-Kyung Hong , Soo Bin Kim , Seok Hyun Ahn , Yongjoo Choi , Tae Kwon Lee
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J. Microbiol. 2021;59(10):879-885. Published online September 23, 2021
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DOI: https://doi.org/10.1007/s12275-021-1443-7
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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 nextgeneration
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.
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Citations
Citations to this article as recorded by 
- Response of online flow cytometry to controlled physicochemical disturbances in desalinated potable water matrices
Ruisi Chen, Kees Theo Huisman, Peter Desmond npj Clean Water.2026;[Epub] CrossRef - Within-species phenotypic resistance rather than community turnover tracks antimicrobial usage in Staphylococcus aureus on swine farms
So Hee Park, Jin Gyeong Jeong, Acme Afrin Jahan, Mu Sun Lee, Jeong Yoon Kang, Junsik John Kim, Bo-Youn Moon, Suk-Kyung Lim, Gihan Lee, SeungMuk Yu, Jin-Kyung Hong, Keunje Yoo, Tae Kwon Lee Environmental Pollution.2026; 409: 128991. CrossRef - Enhancing Bacterial Phenotype Classification Through the Integration of Autogating and Automated Machine Learning in Flow Cytometric Analysis
In Jae Jeong, Jin‐Kyung Hong, Young Jun Bae, Tea Kwon Lee Cytometry Part A.2025; 107(3): 203. CrossRef - Assessing long-term ecological impacts of PCE contamination in groundwater using a flow cytometric fingerprint approach
Jin-Kyung Hong, Soo Bin Kim, Gui Nam Wee, Bo Ram Kang, Jee Hyun No, Susmita Das Nishu, Joonhong Park, Tae Kwon Lee Science of The Total Environment.2024; 931: 172698. CrossRef - Phenotypic shifts induced by environmental pre-stressors modify antibiotic resistance in Staphylococcus aureus
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- Microbial phenomics linking the phenotype to function: The potential of Raman spectroscopy
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Jin-Kyung Hong , Soo Bin Kim , Eun Sun Lyou , Tae Kwon Lee
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J. Microbiol. 2021;59(3):249-258. Published online January 26, 2021
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DOI: https://doi.org/10.1007/s12275-021-0590-1
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Abstract
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Raman spectroscopy is a promising tool for identifying microbial
phenotypes based on single cell Raman spectra reflecting
cellular biochemical biomolecules. Recent studies
using Raman spectroscopy have mainly analyzed phenotypic
changes caused by microbial interactions or stress responses
(e.g., antibiotics) and evaluated the microbial activity or substrate
specificity under a given experimental condition using
stable isotopes. Lack of labelling and the nondestructive pretreatment
and measurement process of Raman spectroscopy
have also aided in the sorting of microbial cells with interesting
phenotypes for subsequently conducting physiology
experiments through cultivation or genome analysis. In this
review, we provide an overview of the principles, advantages,
and status of utilization of Raman spectroscopy for studies
linking microbial phenotypes and functions. We expect Raman
spectroscopy to become a next-generation phenotyping
tool that will greatly contribute in enhancing our understanding
of microbial functions in natural and engineered
systems.
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Citations
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- Unsupervised classification of environmental marine microbes using a Raman spectra-based deep learning framework
Fengyun Lü, Yanmei Zhang, Hongtao Liang, Luyang Sun Journal of Oceanology and Limnology.2026; 44(2): 728. CrossRef - Environmental microbial bioprospecting enabled by a Raman fingerprinting and functional sorting on a microfluidic static droplet array
Guoxia Zheng, Yanwen Liu, Huicheng Chen, Ling Lu, Lin Wang, Tingting Jia, Yunhua Wang Analytica Chimica Acta.2026; 1400: 345319. CrossRef - Label-free, single-cell-precise, and monomeric-unit-resolved monitoring of biopolymer fermentation by ramanomics
Jia Zhang, Xu Liu, Zhihang Chen, Xuan Zhou, Mingying Li, Zengyan Sun, Teng Xu, Taoran Zheng, Xiaomeng Wang, Xinnan Cui, Jiajun Du, Gongchao Jing, Yanmei Zhang, Mingqin Xu, Bo Ma, Fuli Li, Huiying Luo, Bin Yao, Guo-Qiang Chen, Jian Xu Trends in Biotechnology.2026; 44(9): 2771. CrossRef - Intratumoral microbiome: implications for immune modulation and innovative therapeutic strategies in cancer
Na Wang, Si Wu, Lanxiang Huang, Yue Hu, Xin He, Jourong He, Ben Hu, Yaqi Xu, Yuan Rong, Chunhui Yuan, Xiantao Zeng, Fubing Wang Journal of Biomedical Science.2025;[Epub] CrossRef - Rapid profiling of between-species metabolic interactions in cocultures by D2O‑probed single-cell Raman microspectroscopy
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Sandra Baaba Frempong, Markus Salbreiter, Sara Mostafapour, Aikaterini Pistiki, Thomas W. Bocklitz, Petra Rösch, Jürgen Popp Molecules.2024; 29(5): 1077. CrossRef - Advancing Soil Health: Challenges and Opportunities in Integrating Digital Imaging, Spectroscopy, and Machine Learning for Bioindicator Analysis
Liang Wang, Ying Cheng, Islam Md Meftaul, Fang Luo, Muhammad Ashad Kabir, Richard Doyle, Zhenyu Lin, Ravi Naidu Analytical Chemistry.2024; 96(20): 8109. CrossRef - Phenotypic shifts induced by environmental pre-stressors modify antibiotic resistance in Staphylococcus aureus
Gui Nam Wee, Eun Sun Lyou, Susmita Das Nishu, Tae Kwon Lee Frontiers in Microbiology.2023;[Epub] CrossRef - Formation and emergent dynamics of spatially organized microbial systems
Kelsey Cremin, Sarah J. N. Duxbury, Jerko Rosko, Orkun S. Soyer Interface Focus.2023;[Epub] CrossRef - Demonstrating low Raman background in UV-written SiO2 waveguides
Mathias Novik Jensen, James C. Gates, Alex I. Flint, Olav Gaute Hellesø Optics Express.2023; 31(19): 31092. CrossRef - Development of Polyhydroxybutyrate-Based Packaging Films and Methods to Their Ultrasonic Welding
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Julian Weng, Kara Müller, Oleksii Morgaienko, Martin Elsner, Natalia P. Ivleva The Analyst.2023; 148(1): 128. CrossRef - Phenotypic convergence of bacterial adaption to sub-lethal antibiotic treatment
Gui Nam Wee, Eun Sun Lyou, Jin-Kyung Hong, Jee Hyun No, Soo Bin Kim, Tae Kwon Lee Frontiers in Cellular and Infection Microbiology.2022;[Epub] CrossRef - Discrimination of Stressed and Non-Stressed Food-Related Bacteria Using Raman-Microspectroscopy
Daniel Klein, René Breuch, Jessica Reinmüller, Carsten Engelhard, Peter Kaul Foods.2022; 11(10): 1506. CrossRef - Omics-based microbiome analysis in microbial ecology: from sequences to information
Jang-Cheon Cho Journal of Microbiology.2021; 59(3): 229. CrossRef - Gold Nanomaterials as a Promising Integrated Tool for Diagnosis and Treatment of Pathogenic Infections—A Review
Yan Zhou, Zefeng Wang, Yanling Peng, Feiying Wang, Le Deng Journal of Biomedical Nanotechnology.2021; 17(5): 744. CrossRef - Raman microspectroscopy for microbiology
Kang Soo Lee, Zachary Landry, Fátima C. Pereira, Michael Wagner, David Berry, Wei E. Huang, Gordon T. Taylor, Janina Kneipp, Juergen Popp, Meng Zhang, Ji-Xin Cheng, Roman Stocker Nature Reviews Methods Primers.2021;[Epub] CrossRef - Flow cytometric monitoring of the bacterial phenotypic diversity in aquatic ecosystems
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