Evidence map›Paper›PMID 23473470›Full record

ArticleEnvironmental science & technology2013

Distribution of genetic markers of fecal pollution on a freshwater sandy shoreline in proximity to wastewater effluent.

Jessica J Eichmiller, Randall E Hicks, Michael J Sadowsky

Abstract read
In one paragraph

Article in Environmental science & technology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
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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

3 authors.

Jessica J EichmillerDepartment of Soil, Water, and Climate, University of Minnesota, 1991 Upper Buford Circle, 438 BorH, St Paul, Minnesota 55108, United States.
Randall E Hicks
Michael J Sadowsky

Funding

TRAINING FOR FUTURE BIOTECHNOLOGY DEVELOPMENTT32GM008347 · NIGMS · UNIVERSITY OF MINNESOTA TWIN CITIES · PI SCHMIDT-DANNERT, CLAUDIA · 1990 to 2021
$11.0M
Modeling Pheromone Induced Plasmid and Drug Resistance TransferR01GM081388 · NIGMS · UNIVERSITY OF MINNESOTA · PI HU, WEI-SHOU · 2007 to 2015
$2.2M
NIGMS NIH HHS 5 T32 GM008347NIGMS NIH HHS R01 GM081388NIGMS NIH HHS T32 GM008347
6 · The paper itself

Abstract

Water, sand, and sediment from a Lake Superior harbor site continuously receiving wastewater effluent was sampled monthly for June to October 2010 and from May to September 2011. Understanding the dynamics of genetic markers of fecal bacteria in these matrices is essential to accurately characterizing health risks. Genetic markers for enterococci, total Bacteroides, and human-associated Bacteroides were measured in site-water, sand, and sediment and in final effluent by quantitative PCR. The similarity between the quantity of molecular markers in the water column and effluent indicated that the abundance of genetic markers in the water column was likely controlled by effluent inputs. Effluent turbidity was positively correlated (p ≤ 0.05) with AllBac and HF183 in final effluent and AllBac in the water column. In sand and sediment, Entero1 and AllBac were most abundant in the upper 1-3 cm depths, whereas HF183 was most abundant in the upper 1 cm of sand and at 7 cm in sediment. The AllBac and Entero1 markers were 1- and 2-orders of magnitude more abundant in sand and sediment relative to the water column per unit mass. These results indicate that sand and sediment may act as reservoirs for genetic markers of fecal pollution at some freshwater sites.

Indexed as

Environmental MonitoringWaste Disposal, FluidBacteriaBacteroidesColony Count, MicrobialEnterococcusFecesFresh WaterGenetic MarkersGeographyGeologic SedimentsHumansMinnesotaSewageSilicon DioxideWastewaterGenetic MarkersSewageSilicon DioxideWastewater

Identifiers

PMID23473470
PMCPMC3629727

What OpenQuestion holds

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Registered trials

None linked

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.