- Application of fast expectation-maximization microbial source tracking to discern fecal contamination in rivers exposed to low fecal inputs
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Youfen Xu , Ganghua Han , Hongxun Zhang , Zhisheng Yu , Ruyin Liu
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J. Microbiol. 2022;60(6):594-601. Published online April 18, 2022
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DOI: https://doi.org/10.1007/s12275-022-1651-9
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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.
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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
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- Spatial Distribution of Microbial Communities Associated with Dune Landform in the Gurbantunggut Desert, China
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Ruyin Liu , Ke Li , Hongxun Zhang , Junge Zhu , DevRaj Joshi
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J. Microbiol. 2014;52(11):898-907. Published online October 31, 2014
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DOI: https://doi.org/10.1007/s12275-014-4075-3
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925
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The microbial community compositions and potential ammonia oxidation in the topsoil at different positions of sand dune (stoss slope, crest, lee slope, and interdune) from the Gurbantunggut Desert, the largest semi-fixed desert in China, were investigated using several molecular methods. Actinobacteria and Proteobacteria (especially Alphaproteobacteria) were commonly the dominant taxa across all soil samples. Bacterial communities were similar in soils collected from the stoss slopes and interdunes (HC-BSCs, biological soil crusts with a high abundance of cyanobacteria), containing more abundant cyanobacterial populations (16.9–24.5%)
than those (0.2–0.7% of Cyanobacteria) in the crests and lee slopes (LC-BSCs, biological soil crusts with a low abundance of cyanobacteria). The Cyanobacteria were mainly composed of Microcoleus spp., and quantitative PCR analysis revealed
that 16S rRNA gene copy numbers of Cyanobacteria (especially genus Microcoleus) were at least two orders of magnitude higher in HC-BSCs than in LC-BSCs. Heterotrophic Geodermatophilus spp. frequently occurred in HC-BSCs (2.5–8.0%), whereas genera Arthrobacter, Bacillus, and Segetibacter were significantly abundant in LC-BSC communities. By comparison, the desert archaeal communities were less complex, and were dominated by Nitrososphaera spp. The amoA gene abundance of ammonia-oxidizing archaea (AOA) was higher than that of ammonia-oxidizing bacteria (AOB) in all soil samples, particularly in the interdunal soils (106–108 archaeal amoA gene copies per gram dry soil), indicating that AOA possibly dominate the ammonia oxidation at the interdunes.
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