ArticleThe ISME journal2011
Analysis of human and animal fecal microbiota for microbial source tracking.
Article in The ISME journal, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
31 citing papers in PubMed.
- Trial
- Effects of Fermentation and Enzymatic Hydrolysis of Cottonseed Protein on Rumen Fermentation Characteristics, Intestinal Barrier Function, and Hepatic Metabolism in Suckling Lambs.Animals : an open access journal from MDPI · 2025Article
- Article
- The probability of detecting host-specific microbial source tracking markers in surface waters was strongly associated with method and season.Microbiology spectrum · 2025Article
- A Review of the Mechanisms of Bacterial Colonization of the Mammal Gut.Microorganisms · 2024Review
- Asymptomatic Enteric Virus Infections and Association with the Gut Microbiome in Rural Residents of Northern Laos.The American journal of tropical medicine and hygiene · 2024Article
- Effects of guanidinoacetic acid onFrontiers in microbiology · 2023Article
- Screening of Colistin-Resistant Bacteria in Domestic Pets from France.Animals : an open access journal from MDPI · 2022Article
- Robust host source tracking building on the divergent and non-stochastic assembly of gut microbiomes in wild and farmed large yellow croaker.Microbiome · 2022Article
- Interplay between Bacterial Clones and Plasmids in the Spread of Antibiotic Resistance Genes in the Gut: Lessons from a Temporal Study in Veal Calves.Applied and environmental microbiology · 2021Article
- Variations on gut health and energy metabolism in pigs and humans by intake of different dietary fibers.Food science & nutrition · 2021Review
- Bacterial Community Characteristics in the Gastrointestinal Tract of Yak (Animals : an open access journal from MDPI · 2021Article
- Bacterial and eukaryotic microbial communities in urban water systems profiled via Illumina MiSeq platform.3 Biotech · 2021Article
- Conserved and variable responses of the gut microbiome to resistant starch type 2.Nutrition research (New York, N.Y.) · 2020Review
- Effect of different seasons (spring vs summer) on the microbiota diversity in the feces of dairy cows.International journal of biometeorology · 2020Article
- Fate of CMY-2-Encoding Plasmids Introduced into the Human Fecal Microbiota by ExogenousAntimicrobial agents and chemotherapy · 2019Article
- Fecal source identification using random forest.Microbiome · 2018Article
- Effect of Limit-Fed Diets With Different Forage to Concentrate Ratios on Fecal Bacterial and Archaeal Community Composition in Holstein Heifers.Frontiers in microbiology · 2018Article
- Microbial community compositions in the gastrointestinal tract of Chinese Mongolian sheep using Illumina MiSeq sequencing revealed high microbial diversity.AMB Express · 2017Article
- Bacterial communities in the small intestine respond differently to those in the caecum and colon in mice fed low- and high-fat diets.Microbiology (Reading, England) · 2017Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Microbial compositions of human and animal feces from South Korea were analyzed and characterized. In total, 38 fecal samples (14 healthy adult humans, 6 chickens, 6 cows, 6 pigs and 6 geese) were analyzed by 454 pyrosequencing of the V2 region of the 16S rRNA gene. Four major phyla, Actinobacteria, Proteobacteria, Firmicutes and Bacteroidetes, were identified in the samples. Principal coordinate analysis suggested that microbiota from the same host species generally clustered, with the exception of those from humans, which exhibited sample-specific compositions. A network-based analysis revealed that several operational taxonomic units (OTUs), such as Lactobacillus sp., Clostridium sp. and Prevotella sp., were commonly identified in all fecal sources. Other OTUs were present only in fecal samples from a single organism. For example, Yania sp. and Bifidobacterium sp. were identified specifically in chicken and human fecal samples, respectively. These specific OTUs or their respective biological markers could be useful for identifying the sources of fecal contamination in water by microbial source tracking.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.