ArticleApplied and environmental microbiology2003
Use of antibiotic resistance analysis for representativeness testing of multiwatershed libraries.
Article in Applied and environmental microbiology, 2003. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
18 citing papers in PubMed, 127 citations in OpenAlex.
- Application of Faecalibacterium 16S rDNA genetic marker for accurate identification of duck faeces.Environmental science and pollution research international · 2016Article
- Antibiotic resistance in Escherichia coli isolates from roof-harvested rainwater tanks and urban pigeon faeces as the likely source of contamination.Environmental monitoring and assessment · 2015Article
- Evidence for the clustering of antibacterial resistance phenotypes of enterococci within integrated poultry companies.Microbial ecology · 2010Article
- Evidence for growth of enterococci in municipal oxidation ponds, obtained using antibiotic resistance analysis.Applied and environmental microbiology · 2008Article
- Fecal source tracking by antibiotic resistance analysis on a watershed exhibiting low resistance.Environmental monitoring and assessment · 2008Article
- Temporal dynamics and impact of manure storage on antibiotic resistance patterns and population structure of Escherichia coli isolates from a commercial swine farm.Applied and environmental microbiology · 2007Article
- Tracking host sources of Cryptosporidium spp. in raw water for improved health risk assessment.Applied and environmental microbiology · 2007Article
- Considerations when using discriminant function analysis of antimicrobial resistance profiles to identify sources of fecal contamination of surface water in Michigan.Applied and environmental microbiology · 2007Article
- Performance, design, and analysis in microbial source tracking studies.Applied and environmental microbiology · 2007Review
- High-throughput and quantitative procedure for determining sources of Escherichia coli in waterways by using host-specific DNA marker genes.Applied and environmental microbiology · 2007Article
- Diversity and distribution of Escherichia coli genotypes and antibiotic resistance phenotypes in feces of humans, cattle, and horses.Applied and environmental microbiology · 2006Article
- Integrated analysis of established and novel microbial and chemical methods for microbial source tracking.Applied and environmental microbiology · 2006Article
- Classification tree method for bacterial source tracking with antibiotic resistance analysis data.Applied and environmental microbiology · 2006Article
- Characterization of Escherichia coli isolates from different fecal sources by means of classification tree analysis of fatty acid methyl ester (FAME) profiles.Environmental monitoring and assessment · 2006Article
- Using DNA microarrays to identify library-independent markers for bacterial source tracking.Applied and environmental microbiology · 2006Article
- Comparison of bacteroides-prevotella 16S rRNA genetic markers for fecal samples from different animal species.Applied and environmental microbiology · 2005Article
- Specificity of a Bacteroides thetaiotaomicron marker for human feces.Applied and environmental microbiology · 2005Article
- Sample size, library composition, and genotypic diversity among natural populations of Escherichia coli from different animals influence accuracy of determining sources of fecal pollution.Applied and environmental microbiology · 2004Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
21 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The use of antibiotic resistance analysis (ARA) for microbial source tracking requires the generation of a library of isolates collected from known sources in the watershed. The size and composition of the library are critical in determining if it represents the diversity of patterns found in the watershed. This study was performed to determine the size that an ARA library needs to be to be representative of the watersheds for which it will be used and to determine if libraries from different watersheds can be merged to create multiwatershed libraries. Fecal samples from known human, domesticated, and wild animal sources were collected from six Virginia watersheds. From these samples, enterococci were isolated and tested by ARA. Based on cross-validation discriminant analysis, only the largest of the libraries (2,931 isolates) were found to be able to classify nonlibrary isolates as well as library isolates (i.e., were representative). Small libraries tended to have higher average rates of correct classification, but were much less able to correctly classify nonlibrary isolates. A merged multiwatershed library (6,587 isolates) was created and was found to be large enough to be representative of the isolates from the contributing watersheds. When isolates that were collected from the contributing watersheds approximately 1 year later were analyzed with the multiwatershed library, they were classified as well as the isolates in the library, suggesting that the resistance patterns are temporally stable for at least 1 year. The ability to obtain a representative, temporally stable library demonstrates that ARA can be used to identify sources of fecal pollution in natural waters.
Indexed as
Identifiers
What OpenQuestion holds
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.