Skip Navigation
Skip to contents

Journal of Microbiology : Journal of Microbiology

OPEN ACCESS
SEARCH
Search

Author index

Page Path
HOME > Browse Articles > Author index
Search
Ganghua Han 1 Article
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
J. Microbiol. 2022;60(6):594-601.   Published online April 18, 2022
DOI: https://doi.org/10.1007/s12275-022-1651-9
  • 1,722 View
  • 11 Download
  • 13 Web of Science
  • 14 Crossref
AbstractAbstract PDF
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.

Citations

Citations to this article as recorded by  
  • 16S rRNA gene copy number variation and sink biomass shape source contributions in community-wide microbial source tracking
    Geon Choi, Tatsuya Unno
    Applied Biological Chemistry.2026;[Epub]     CrossRef
  • Source contribution and migration patterns of antibiotic resistomes in river–lake systems revealed by a tiered LEfSe–FEAST framework
    Tao Zhang, Yayu Xiao, Sai Xu, Qiuwen Chen, Yuexiang Gao, Ke Zhang
    Water Research X.2026; 32: 100555.     CrossRef
  • Multi-niche microbial communities and volatile profiles across three traditional Huangjiu workshops within a shared regional setting
    Jieqi Mao, Zhuo Li, Dongliang Ren, Xuanchen Li, Shuangping Liu
    Food Bioscience.2026; 82: 109279.     CrossRef
  • Applications of machine learning in microbial source tracking
    Jiaying Li, Kai Feng, Le Wang, Qiulong Hu, Shaolong Wu, Ye Deng
    Trends in Microbiology.2026;[Epub]     CrossRef
  • Novel Microbial Engraftment Trajectories Following Microbiota Transplant Therapy in Ulcerative Colitis
    Daphne Moutsoglou, Aneesh Syal, Sharon Lopez, Elizabeth C Nelson, Lulu Chen, Amanda J Kabage, Monika Fischer, Alexander Khoruts, Byron P Vaughn, Christopher Staley
    Journal of Crohn's and Colitis.2025;[Epub]     CrossRef
  • Integrating microbial community dynamics and emerging contaminants (ECs) for precisely quantifying the sources in groundwater affected by livestock farming
    Kai Liu, Jinrong Qiu, Chih-Huang Weng, Zhongen Tang, Renchuan Fu, Xiaojun Lin, Xiujuan Wang, Na Liu, Jingwen Zeng
    Journal of Hazardous Materials.2025; 494: 138691.     CrossRef
  • SourceApp: A Novel Metagenomic Source Tracking Tool that can Distinguish between Fecal Microbiomes Using Genome-To-Source Associations Benchmarked Against Mixed Input Spike-In Mesocosms
    Blake G. Lindner, Katherine E. Graham, Jacob R. Phaneuf, Janet K. Hatt, Konstantinos T. Konstantinidis
    Environmental Science & Technology.2025; 59(19): 9507.     CrossRef
  • A Practical Framework for Environmental Antibiotic Resistance Monitoring in Freshwater Ecosystems
    Irene Beltrán de Heredia, Itziar Alkorta, Carlos Garbisu, Estilita Ruiz-Romera
    Antibiotics.2025; 14(8): 840.     CrossRef
  • Maternal–to–neonatal microbial transmission and impact of prenatal probiotics on neonatal gut development
    Lulu Meng, Ge Fan, Haishan Xie, Kian Deng Tye, Lianyi Xia, Huijuan Luo, Xiaomei Tang, Ting Huang, Jiaxin Lin, Guangyu Ma, Xiaomin Xiao, Zhe Li
    Journal of Translational Medicine.2025;[Epub]     CrossRef
  • A review of AI-driven monitoring, forecasting, and source attribution of aquatic biocontaminants
    Qinling Wang, Yiran Zhang, Wenze Wang, Xinyi Wu, Hailing Zhou, Ling Chen, Bing Wu
    Biocontaminant.2025;[Epub]     CrossRef
  • Faecal source apportionment using molecular methods: A proof of concept using the FEAST algorithm
    Laura T. Kelly, Jack Sissons, Lucy Thompson, John K. Pearman
    Water Research.2024; 266: 122365.     CrossRef
  • Computational methods and challenges in analyzing intratumoral microbiome data
    Qi Wang, Zhaoqian Liu, Anjun Ma, Zihai Li, Bingqiang Liu, Qin Ma
    Trends in Microbiology.2023; 31(7): 707.     CrossRef
  • Response and recovery mechanisms of river microorganisms to gradient concentrations of estrogen
    Dan Qin, Yan Li, Nengwang Chen, Anyi Hu, Chang-Ping Yu
    Frontiers in Microbiology.2023;[Epub]     CrossRef
  • Improving the Identification of Fecal Contamination in Recreational Water through the Standardization and Normalization of Microbial Source Tracking
    Megan N. Jamison, John J. Hart, David C. Szlag
    ACS ES&T Water.2022; 2(12): 2305.     CrossRef

Journal of Microbiology : Journal of Microbiology
TOP