Journal of Microbiology

Ju-Yong Jeong

2 Articles

Microbial Community Analysis and Identification of Alternative Host-Specific Fecal Indicators in Fecal and River Water Samples Using Pyrosequencing: Ju-Yong Jeong , Hee-Deung Park , Kyong-Hee Lee , Hang-Yeon Weon , Jong-Ok Ka; J. Microbiol. 2011;49(4):585-594. Published online September 2, 2011; DOI: https://doi.org/10.1007/s12275-011-0530-6

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It is important to know the comprehensive microbial communities of fecal pollution sources and receiving water bodies for microbial source tracking. Pyrosequencing targeting the V1-V3 hypervariable regions of the 16S rRNA gene was used to investigate the characteristics of bacterial and Bacteroidales communities in major fecal sources and river waters. Diversity analysis indicated that cow feces had the highest diversities in the bacterial and Bacteroidales group followed by the pig sample, with human feces having the lowest value. The Bacteroidales, one of the potential fecal indicators, totally dominated in the fecal samples accounting for 31%-52% of bacterial sequences, but much less (0.6%) in the river water. Clustering and Venn diagram analyses showed that the human sample had a greater similarity to the pig sample in the bacterial and Bacteroidales communities than to samples from other hosts. Traditional fecal indicators, i.e., Escherichia coli, were detected in the human and river water samples at very low rates and Clostridium perfringens and enterococci were not detected in any samples. Besides the Bacteroidales group, some microorganisms detected in the specific hosts, i.e., Parasutterella excrementihominis, Veillonella sp., Dialister invisus, Megamonas funiformis, and Ruminococcus lactaris for the human and Lactobacillus amylovorus and Atopostipes sp. for the pig, could be used as potential host-specific fecal indicators. These microorganisms could be used as multiple fecal indicators that are not dependent on the absence or presence of a single indicator. Monitoring for multiple indicators that are highly abundant and host-specific would greatly enhance the effectiveness of fecal pollution source tracking.

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Molecular Identification of Fecal Pollution Sources in Water Supplies by Host-Specific Fecal DNA Markers and Terminal Restriction Fragment Length Polymorphism Profiles of 16S rRNA Gene: Ju-Yong Jeong , Kyung-Ik Gil , Kyong-Hee Lee , Jong-Ok Ka; J. Microbiol. 2008;46(6):599-607. Published online December 24, 2008; DOI: https://doi.org/10.1007/s12275-008-0174-3

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Abstract PDF

Specific fecal DNA markers were investigated for major pollution sources, cow, human, and pig, and occurrence of the identified markers was analyzed in river waters using Terminal Restriction Fragment Length Polymorphism (T-RFLP) techniques and sequencing of 16S rDNA of Bacteroides-Prevotella. The unique and specific DNA markers for cow and human were identified as a 222 bp and 60 bp peak in HaeIII T-RFLP profiles, respectively, and the pig-specific marker was not identified but the unique T-RFLP profile of pig could be used as a substitution. Human-specific marker was detected in most of the river waters tested (92.1%) and T-RFLP profiles of river waters were shown to be similar to those of human feces. Cluster analysis of T-RFLP data showed that the fecal sources were multiple (human plus cow and human plus dairy cow) in most of the river waters. The phylogenetic analysis for the clones recovered from the fecal and water samples showed that the clones from cow formed a discreet cluster from those of other sources. The other clones from human, pig, and river water formed two groups all together. The results of this study could be used to identify and control the fecal pollution source in the bodies of water in Korea.

Citations

Citations to this article as recorded by

Microbial community analysis and identification of alternative host-specific fecal indicators in fecal and river water samples using pyrosequencing
Ju-Yong Jeong, Hee-Deung Park, Kyong-Hee Lee, Hang-Yeon Weon, Jong-Ok Ka
The Journal of Microbiology.2011; 49(4): 585. CrossRef
Application of an Integrated Community Analysis Approach for Microbial Source Tracking in a Coastal Creek
Yiping Cao, Laurie C. Van De Werfhorst, Bram Sercu, Jill L. S. Murray, Patricia A. Holden
Environmental Science & Technology.2011; 45(17): 7195. CrossRef

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