ArticleMicrobial ecology2016
Patterns of Multi-Antibiotic-Resistant Escherichia Coli from Streams with No History of Antimicrobial Inputs.
Article in Microbial ecology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 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
8 citing papers in PubMed.
- Sources and Drivers of ARGs in Urban Streams in Atlanta, Georgia, USA.Microorganisms · 2022Article
- Unveiling the Gut Microbiota and Resistome of Wild Cotton Mice,Microbiology spectrum · 2021Article
- Co-occurrence of antibiotic, biocide, and heavy metal resistance genes in bacteria from metal and radionuclide contaminated soils at the Savannah River Site.Microbial biotechnology · 2020Article
- Genetic Characterization of Antimicrobial-ResistantInternational journal of environmental research and public health · 2019Article
- Bringing Community Ecology to Bear on the Issue of Antimicrobial Resistance.Frontiers in microbiology · 2019Review
- Waterborne outbreaks in diarrhoea endemic foci of India: a longitudinal exploration and its implications.Environmental monitoring and assessment · 2018Article
- Metagenomic profiling of historic Colorado Front Range flood impact on distribution of riverine antibiotic resistance genes.Scientific reports · 2016Article
- Antibiotic Resistance Genes in Freshwater Biofilms May Reflect Influences from High-Intensity Agriculture.Microbial ecology · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A growing body of evidence suggests that contaminated environments may harbor a greater proportion of antibiotic-resistant microorganisms than unpolluted reference sites. Here, we report the screening of 427 Escherichia coli strains isolated from 11 locations on nine streams draining the US Department of Energy's Savannah River Site against a panel of five antibiotics. Streams were chosen to capture a wide range of watersheds from minimally disturbed to highly impacted. Overall, higher levels of resistance were found in waterborne E. coli that also generally exhibited low spatial variability. However, 3 of 11 locations also demonstrated elevated resistance levels in sediments. Two of these occurred in highly disturbed tributaries with no obvious sources of antimicrobials. To further investigate these patterns, we screened a subset of isolates obtained from three streams against 23 antibiotics or antibiotic combinations. A large proportion of these isolates (>40 %) demonstrated resistance to 10 or more antimicrobials, suggesting that environmental multi-antibiotic resistance may be prevalent in this bacterial commensal. Only 4 of 87 viable isolates were tested susceptible to all 23 antibiotics and combinations. Among these multi-antibiotic-resistant isolates, several demonstrated resistance to all structural classes of antimicrobial agents tested, including frontline antibiotics such as gatifloxacin and ciprofloxacin.
Indexed as
Identifiers
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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.