ArticleJournal of microbiology (Seoul, Korea)2011
Microbial community analysis and identification of alternative host-specific fecal indicators in fecal and river water samples using pyrosequencing.
Article in Journal of microbiology (Seoul, Korea), 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.
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Who cites it
20 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A Meta-analysis of Bacterial Diversity in the Feces of Cattle.Current microbiology · 2016Pooled it
- Identification of potential microbial risk factors associated with fecal indicator exceedances at recreational beaches.Environmental microbiome · 2024Article
- Association of milk microbiome with bovine mastitis before and after antibiotic therapy.Veterinary world · 2023Article
- Impact of Early Weaning on Development of the Swine Gut Microbiome.Microorganisms · 2023Review
- Diversity and Function of Wolf Spider Gut Microbiota Revealed by Shotgun Metagenomics.Frontiers in microbiology · 2021Article
- Bacterial community structure upstream and downstream of cascade dams along the Lancang River in southwestern China.Environmental science and pollution research international · 2020Article
- The impact of feed efficiency selection on the ruminal, cecal, and fecal microbiomes of Angus steers from a commercial feedlot.Journal of animal science · 2020Article
- Metataxonomic analyses reveal differences in aquifer bacterial community as a function of creosote contamination and its potential for contaminant remediation.Scientific reports · 2019Article
- Bacterial Community 16S rRNA Gene Sequencing Characterizes Riverine Microbial Impact on Lake Michigan.Frontiers in microbiology · 2019Article
- Insights Into the Bovine Milk Microbiota in Dairy Farms With Different Incidence Rates of Subclinical Mastitis.Frontiers in microbiology · 2018Article
- Effect of ensiled mulberry leaves and sun-dried mulberry fruit pomace on the fecal bacterial community composition in finishing steers.BMC microbiology · 2017Article
- A Community Multi-Omics Approach towards the Assessment of Surface Water Quality in an Urban River System.International journal of environmental research and public health · 2017Article
- Application of Faecalibacterium 16S rDNA genetic marker for accurate identification of duck faeces.Environmental science and pollution research international · 2016Article
- Rapid Microbiome Changes in Freshly Deposited Cow Feces under Field Conditions.Frontiers in microbiology · 2016Article
- Toolbox Approaches Using Molecular Markers and 16S rRNA Gene Amplicon Data Sets for Identification of Fecal Pollution in Surface Water.Applied and environmental microbiology · 2015Article
- Assessment of bacterial and archaeal community structure in Swine wastewater treatment processes.Microbial ecology · 2015Article
- Microbial community profiles of the colon from steers differing in feed efficiency.SpringerPlus · 2015Article
- Multiple approaches to microbial source tracking in tropical northern Australia.MicrobiologyOpen · 2014Article
- Pyrosequencing-based analysis of fecal microbial communities in three purebred pig lines.Journal of microbiology (Seoul, Korea) · 2014Article
- Relating the metatranscriptome and metagenome of the human gut.Proceedings of the National Academy of Sciences of the United States of America · 2014Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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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Registered trials
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