Evidence map›Paper›PMID 18836001›Full record

ArticleApplied and environmental microbiology2008

Evidence for growth of enterococci in municipal oxidation ponds, obtained using antibiotic resistance analysis.

Elaine Moriarty, Fariba Nourozi, Beth Robson, David Wood, Brent Gilpin

Abstract read
In one paragraph

Article in Applied and environmental microbiology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Elaine MoriartyInstitute of Environmental Science & Research Limited, Christchurch Science Centre, Christchurch, New Zealand.
Fariba Nourozi
Beth Robson
David Wood
Brent Gilpin

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Christchurch wastewater treatment plant uses a series of six oxidation ponds to reduce the bacterial load of treated effluent before it is discharged into the local estuary. To ensure that this discharge does not adversely affect water quality in the receiving environment, local regulations specify maximum levels in the discharge for a number of parameters, including enterococci. Between 2001 and 2006, regulations required fewer than 300 enterococci per 100 ml in summer. During this period, the discharge intermittently exceeded this limit, with unexplained levels of enterococci of up to 180,000/100 ml. Characterization of these enterococci by antibiotic resistance analysis showed that enterococci sampled over 4 months had almost identical resistance profiles. In contrast, enterococci from raw sewage and wildfowl from around the oxidation ponds had a diverse range of antibiotic resistance profiles that could be distinguished from each other and also from those of enterococci from the discharge. The hypothesis of a clonal nature of the enterococci in the discharge was supported by molecular genotype analysis, suggesting that these bacteria may have replicated in the pond environment rather than being reflective of breakthrough in the sewage treatment process or the result of recent wildfowl inputs to the ponds. This study highlights the usefulness of antibiotic resistance analysis in identifying this phenomenon and is the first report of apparent replication of a specific type of enterococci in an oxidation pond environment.

Indexed as

Drug Resistance, BacterialWater MicrobiologyCluster AnalysisColony Count, MicrobialDNA, BacterialDNA FingerprintingElectrophoresis, Gel, Pulsed-FieldEnterococcusGenotypeMicrobial Sensitivity TestsNew ZealandWater PurificationDNA, Bacterial

Identifiers

PMID18836001
PMCPMC2592925

What OpenQuestion holds

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Registered trials

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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.