Evidence map›Paper›PMID 26682850›Full record

ArticleApplied and environmental microbiology2016

Distributions of Fecal Markers in Wastewater from Different Climatic Zones for Human Fecal Pollution Tracking in Australian Surface Waters.

W Ahmed, J P S Sidhu, K Smith, D J Beale, P Gyawali, S Toze

Open access · bronzeAbstract readEvaluation Study
In one paragraph

Article in Applied and environmental microbiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
5.2field-weighted citation impact, top 5% of its field
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

15 citing papers in PubMed, 52 citations in OpenAlex.

  1. Article
  2. Occurrence of Antimicrobial-ResistantAntibiotics (Basel, Switzerland) · 2022
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  3. Microbiological assessment of an urban lagoon system in the coastal zone of Rio de Janeiro, Brazil.Environmental science and pollution research international · 2021
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  13. 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 · 2017
    Article
  14. Article
  15. 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

6 authors at 3 institutions in 1 country.

W AhmedCSIRO Land and Water, Ecosciences Precinct, Brisbane, Queensland, Australia warish.ahmed@csiro.au.
J P S SidhuCSIRO Land and Water, Ecosciences Precinct, Brisbane, Queensland, Australia.
K SmithCSIRO Land and Water, Ecosciences Precinct, Brisbane, Queensland, Australia.
D J BealeCSIRO Land and Water, Ecosciences Precinct, Brisbane, Queensland, Australia.
P GyawaliCSIRO Land and Water, Ecosciences Precinct, Brisbane, Queensland, Australia.
S TozeCSIRO Land and Water, Ecosciences Precinct, Brisbane, Queensland, Australia.
CSIRO Land and Water · AUUniversity of Queensland · AUUniversity of the Sunshine Coast · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recreational and potable water supplies polluted with human wastewater can pose a direct health risk to humans. Therefore, sensitive detection of human fecal pollution in environmental waters is very important to water quality authorities around the globe. Microbial source tracking (MST) utilizes human fecal markers (HFMs) to detect human wastewater pollution in environmental waters. The concentrations of these markers in raw wastewater are considered important because it is likely that a marker whose concentration is high in wastewater will be more frequently detected in polluted waters. In this study, quantitative PCR (qPCR) assays were used to determine the concentrations of fecal indicator bacteria (FIB) Escherichia coli and Enterococcus spp., HFMs Bacteroides HF183, human adenoviruses (HAdVs), and polyomaviruses (HPyVs) in raw municipal wastewater influent from various climatic zones in Australia. E. coli mean concentrations in pooled human wastewater data sets (from various climatic zones) were the highest (3.2 × 10(6) gene copies per ml), followed by those of HF183 (8.0 × 10(5) gene copies per ml) and Enterococcus spp. (3.6 × 10(5) gene copies per ml). HAdV and HPyV concentrations were 2 to 3 orders of magnitude lower than those of FIB and HF183. Strong positive and negative correlations were observed between the FIB and HFM concentrations within and across wastewater treatment plants (WWTPs). To identify the most sensitive marker of human fecal pollution, environmental water samples were seeded with raw human wastewater. The results from the seeding experiments indicated that Bacteroides HF183 was more sensitive for detecting human fecal pollution than HAdVs and HPyVs. Since the HF183 marker can occasionally be present in nontarget animal fecal samples, it is recommended that HF183 along with a viral marker (HAdVs or HPyVs) be used for tracking human fecal pollution in Australian environmental waters.

Indexed as

Water MicrobiologyAdenoviruses, HumanAnimalsAustraliaEnterobacteriaceaeFecesHumansPolyomavirusReal-Time Polymerase Chain ReactionWater Pollution

Identifiers

PMID26682850
PMCPMC4751839
OpenAlexW2269191303

What OpenQuestion holds

Textmetadata
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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.