Evidence map›Paper›PMID 26231648›Full record

ArticleApplied and environmental microbiology2015

Comparison of Sewage and Animal Fecal Microbiomes by Using Oligotyping Reveals Potential Human Fecal Indicators in Multiple Taxonomic Groups.

Jenny C Fisher, A Murat Eren, Hyatt C Green, Orin C Shanks, Hilary G Morrison, Joseph H Vineis, Mitchell L Sogin, Sandra L McLellan

Open access · bronzeAbstract read
In one paragraph

Article in Applied and environmental microbiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
3.2field-weighted citation impact, top 8% 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

33 citing papers in PubMed, 58 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. The mosquito microbiome includes habitat-specific but rare symbionts.Computational and structural biotechnology journal · 2022
    Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. AnAIMS microbiology · 2020
    Review
  13. Article
  14. Article
  15. Article
  16. Highly Specific Sewage-DerivedApplied and environmental microbiology · 2019
    Article
  17. Article
  18. Article
  19. Article
  20. 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

8 authors at 4 institutions in 1 country.

Jenny C FisherSchool of Freshwater Sciences, University of Wisconsin-Milwaukee, Milwaukee, Wisconsin, USA.
A Murat ErenJosephine Bay Paul Center, Marine Biological Laboratory, Woods Hole, Massachusetts, USA.
Hyatt C GreenSUNY-ESF, Syracuse, New York, USA.
Orin C ShanksU.S. Environmental Protection Agency, Office of Research and Development, National Risk Management Research Laboratory, Cincinnati, Ohio, USA.
Hilary G MorrisonJosephine Bay Paul Center, Marine Biological Laboratory, Woods Hole, Massachusetts, USA.
Joseph H VineisJosephine Bay Paul Center, Marine Biological Laboratory, Woods Hole, Massachusetts, USA.
Mitchell L SoginJosephine Bay Paul Center, Marine Biological Laboratory, Woods Hole, Massachusetts, USA.
Sandra L McLellanSchool of Freshwater Sciences, University of Wisconsin-Milwaukee, Milwaukee, Wisconsin, USA mclellan@uwm.edu.
Marine Biological Laboratory · USUniversity of Wisconsin–Milwaukee · USEnvironmental Protection Agency · USSUNY College of Environmental Science and Forestry · US

Funding

Microbial Community Profiles Identify New Indicators of Waterborne PathogensR01AI091829 · NIAID · UNIVERSITY OF WISCONSIN MILWAUKEE · PI MCLELLAN, SANDRA L. · 2011 to 2019
$3.1M
NIAID NIH HHS R01 AI091829NIAID NIH HHS R01AI091829-01A1
6 · The paper itself

Abstract

Most DNA-based microbial source tracking (MST) approaches target host-associated organisms within the order Bacteroidales, but the gut microbiota of humans and other animals contain organisms from an array of other taxonomic groups that might provide indicators of fecal pollution sources. To discern between human and nonhuman fecal sources, we compared the V6 regions of the 16S rRNA genes detected in fecal samples from six animal hosts to those found in sewage (as a proxy for humans). We focused on 10 abundant genera and used oligotyping, which can detect subtle differences between rRNA gene sequences from ecologically distinct organisms. Our analysis showed clear patterns of differential oligotype distributions between sewage and animal samples. Over 100 oligotypes of human origin occurred preferentially in sewage samples, and 99 human oligotypes were sewage specific. Sequences represented by the sewage-specific oligotypes can be used individually for development of PCR-based assays or together with the oligotypes preferentially associated with sewage to implement a signature-based approach. Analysis of sewage from Spain and Brazil showed that the sewage-specific oligotypes identified in U.S. sewage have the potential to be used as global alternative indicators of human fecal pollution. Environmental samples with evidence of prior human fecal contamination had consistent ratios of sewage signature oligotypes that corresponded to the trends observed for sewage. Our methodology represents a promising approach to identifying new bacterial taxa for MST applications and further highlights the potential of the family Lachnospiraceae to provide human-specific markers. In addition to source tracking applications, the patterns of the fine-scale population structure within fecal taxa suggest a fundamental relationship between bacteria and their hosts.

Indexed as

MicrobiotaAnimalsBrazilCluster AnalysisDNA, BacterialDNA FingerprintingDNA, RibosomalFecesHumansMolecular Sequence DataMolecular TypingPhylogenyRNA, Ribosomal, 16SSequence Analysis, DNASewageSpainDNA, BacterialDNA, RibosomalRNA, Ribosomal, 16SSewage

Identifiers

PMID26231648
PMCPMC4579428
OpenAlexW2118996188

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.