TY - JOUR
T1 - Assessing long-term ecological impacts of PCE contamination in groundwater using a flow cytometric fingerprint approach
AU - Hong, Jin Kyung
AU - Kim, Soo Bin
AU - Wee, Gui Nam
AU - Kang, Bo Ram
AU - No, Jee Hyun
AU - Nishu, Susmita Das
AU - Park, Joonhong
AU - Lee, Tae Kwon
N1 - Publisher Copyright:
© 2024 Elsevier B.V.
PY - 2024/6/25
Y1 - 2024/6/25
N2 - This study aims to develop and validate a comprehensive method for assessing ecological disturbances in groundwater ecosystems caused by tetrachloroethylene (PCE) contamination, utilizing flow cytometry (FCM) fingerprint approach. We hypothesized that the ecological disturbance resulting from PCE contamination would exhibit ‘press disturbance’, persisting over extended periods, and inducing notable phenotypic differences in the microbial community compared to undisturbed groundwater. We collected 40 groundwater samples from industrial district with a history of over twenty years of PCE contamination, along with 56 control groundwater from the national surveillance groundwater system. FCM revealed significant alterations in the phenotypic diversity of microbial communities in PCE-contaminated groundwater, particularly during the dry season. The presence of specific dechlorinating bacteria (Dehalococcoides, Dehalogenimonas, and Geobacter) and their syntrophic partners was identified as an indicator of contamination. Phenotypic diversity measures provided clearer and more direct reflections of contamination impact compared to taxonomic diversity measures. This study establishes FCM fingerprinting as a simple, robust, and accurate method for evaluating ecological disturbances, with potential applications in early warning systems and continuous monitoring of groundwater contamination. The findings not only underscore the sensitivity of FCM in detecting phenotypic variations induced by environmental stressors but also highlight its utility in understanding the complex dynamics of microbial communities in contaminated groundwater ecosystems.
AB - This study aims to develop and validate a comprehensive method for assessing ecological disturbances in groundwater ecosystems caused by tetrachloroethylene (PCE) contamination, utilizing flow cytometry (FCM) fingerprint approach. We hypothesized that the ecological disturbance resulting from PCE contamination would exhibit ‘press disturbance’, persisting over extended periods, and inducing notable phenotypic differences in the microbial community compared to undisturbed groundwater. We collected 40 groundwater samples from industrial district with a history of over twenty years of PCE contamination, along with 56 control groundwater from the national surveillance groundwater system. FCM revealed significant alterations in the phenotypic diversity of microbial communities in PCE-contaminated groundwater, particularly during the dry season. The presence of specific dechlorinating bacteria (Dehalococcoides, Dehalogenimonas, and Geobacter) and their syntrophic partners was identified as an indicator of contamination. Phenotypic diversity measures provided clearer and more direct reflections of contamination impact compared to taxonomic diversity measures. This study establishes FCM fingerprinting as a simple, robust, and accurate method for evaluating ecological disturbances, with potential applications in early warning systems and continuous monitoring of groundwater contamination. The findings not only underscore the sensitivity of FCM in detecting phenotypic variations induced by environmental stressors but also highlight its utility in understanding the complex dynamics of microbial communities in contaminated groundwater ecosystems.
KW - Ecological disturbance
KW - Flow cytometry
KW - Groundwater ecosystems
KW - PCE contamination
KW - Phenotypic evaluation
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UR - http://www.scopus.com/inward/citedby.url?scp=85192018611&partnerID=8YFLogxK
U2 - 10.1016/j.scitotenv.2024.172698
DO - 10.1016/j.scitotenv.2024.172698
M3 - Article
C2 - 38688365
AN - SCOPUS:85192018611
SN - 0048-9697
VL - 931
JO - Science of the Total Environment
JF - Science of the Total Environment
M1 - 172698
ER -