Evidence map›Paper›PMID 23435885›Full record

ArticleApplied and environmental microbiology2013

Comparison of the microbial community structures of untreated wastewaters from different geographic locales.

Orin C Shanks, Ryan J Newton, Catherine A Kelty, Susan M Huse, Mitchell L Sogin, Sandra L McLellan

Abstract readComparative Study
In one paragraph

Article in Applied and environmental microbiology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 66 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
66citing papers in PubMed, 2 pooled it
–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

66 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
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  7. Occurrence, Sources and Virulence Potential ofEnvironmental science & technology · 2024
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  20. Mass-immigration determines the assembly of activated sludge microbial communities.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article

6 more citing papers are in PubMed but not listed here.

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.

Orin C ShanksU.S. Environmental Protection Agency, Office of Research and Development, National Risk Management Research Laboratory, Cincinnati, Ohio, USA.
Ryan J Newton
Catherine A Kelty
Susan M Huse
Mitchell L Sogin
Sandra L McLellan

Funding

Microbial Community Profiles Identify New Indicators of Waterborne PathogensR01AI091829 · NIAID · UNIVERSITY OF WISCONSIN MILWAUKEE · PI MCLELLAN, SANDRA L. · 2011 to 2019
$3.1M
Microbial community profiling of sewage contamination in the Great LakesR21AI076970 · NIAID · UNIVERSITY OF WISCONSIN MILWAUKEE · PI MCLELLAN, SANDRA L. · 2008 to 2010
$670k
NIAID NIH HHS 1 R21 AI076970-02NIAID NIH HHS 1 R21 AI076970-SNIAID NIH HHS R01 AI091829NIAID NIH HHS R21 AI076970
6 · The paper itself

Abstract

Microbial sewage communities consist of a combination of human fecal microorganisms and nonfecal microorganisms, which may be residents of urban sewer infrastructure or flowthrough originating from gray water or rainwater inputs. Together, these different microorganism sources form an identifiable community structure that may serve as a signature for sewage discharges and as candidates for alternative indicators specific for human fecal pollution. However, the structure and variability of this community across geographic space remains uncharacterized. We used massively parallel 454 pyrosequencing of the V6 region in 16S rRNA genes to profile microbial communities from 13 untreated sewage influent samples collected from a wide range of geographic locations in the United States. We obtained a total of 380,175 high-quality sequences for sequence-based clustering, taxonomic analyses, and profile comparisons. The sewage profile included a discernible core human fecal signature made up of several abundant taxonomic groups within Firmicutes, Bacteroidetes, Actinobacteria, and Proteobacteria. DNA sequences were also classified into fecal, sewage infrastructure (i.e., nonfecal), and transient groups based on data comparisons with fecal samples. Across all sewage samples, an estimated 12.1% of sequences were fecal in origin, while 81.4% were consistently associated with the sewage infrastructure. The composition of feces-derived operational taxonomic units remained congruent across all sewage samples regardless of geographic locale; however, the sewage infrastructure community composition varied among cities, with city latitude best explaining this variation. Together, these results suggest that untreated sewage microbial communities harbor a core group of fecal bacteria across geographically dispersed wastewater sewage lines and that ambient water quality indicators targeting these select core microorganisms may perform well across the United States.

Indexed as

Water MicrobiologyBacteriaBacteroidetesBiodiversityCluster AnalysisDNA, BacterialDNA, RibosomalFecesGeographyHigh-Throughput Nucleotide SequencingRNA, Ribosomal, 16SSewageUnited StatesDNA, BacterialDNA, RibosomalRNA, Ribosomal, 16SSewage

Identifiers

PMID23435885
PMCPMC3623150

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.