Application of fast expectation-maximization microbial source tracking to discern fecal contamination in rivers exposed to low fecal inputs

Youfen Xu; Ganghua Han; Hongxun Zhang; Zhisheng Yu; Ruyin Liu

doi:10.1007/s12275-022-1651-9

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Application of fast expectation-maximization microbial source tracking to discern fecal contamination in rivers exposed to low fecal inputs: Youfen Xu ^1,2,3, Ganghua Han ^1,2,3, Hongxun Zhang ^1,2, Zhisheng Yu ^1,2, Ruyin Liu ^1,2,3; Journal of Microbiology 2022;60(6):594-601.
DOI: https://doi.org/10.1007/s12275-022-1651-9
Published online: April 18, 2022

¹College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, P. R. China, ²RCEES-IMCAS-UCAS Joint-Lab of Microbial Technology for Environmental Science, Beijing 100085, P. R. China, ³Yanshan Earth Critical Zone and Surface Fluxes Research Station, University of Chinese Academy of Sciences, Beijing 101408, P. R. China¹College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, P. R. China, ²RCEES-IMCAS-UCAS Joint-Lab of Microbial Technology for Environmental Science, Beijing 100085, P. R. China, ³Yanshan Earth Critical Zone and Surface Fluxes Research Station, University of Chinese Academy of Sciences, Beijing 101408, P. R. China

Corresponding author: Ruyin Liu , Tel: +86-010-69672961,

Received: 17 December 2021 • Revised: 11 March 2022 • Accepted: 15 March 2022

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Abstract

Community-based microbial source tracking (MST) can be used to determine fecal contamination from multiple sources in the aquatic environment. However, there is little scientific information on its application potential in water environmental management. Here, we compared SourceTracker and Fast Expectation-maximization Microbial Source Tracking (FEAST) performances on environmental water bodies exposed to low fecal pollution and evaluated treatment effects of fecal pollution in the watershed utilizing community-based MST. Our results showed that FEAST overall outperformed SourceTracker in sensitivity and stability, and was able to discern multi-source fecal contamination (mainly chicken feces) in ambient water bodies exposed to low fecal inputs. Consistent with our previous PCR/qPCR-based MST assays, FEAST analysis indicates that fecal pollution has been significantly mitigated through comprehensive environmental treatment by the local government. This study suggests that FEAST can be a powerful tool for accurately evaluating the contribution of multi-source fecal contamination in environmental water, facilitating environmental management.

Keywords: OpaR;Vibrio parahaemolyticus;polar flagellum;quorum sensing

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Application of fast expectation-maximization microbial source tracking to discern fecal contamination in rivers exposed to low fecal inputs

J. Microbiol. 2022;60(6):594-601. Published online April 18, 2022

DOI: https://doi.org/10.1007/s12275-022-1651-9

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