Evidence map›Paper›PMID 27095377›Full record

ArticleScientific reports2016

Characterization of the resistome in manure, soil and wastewater from dairy and beef production systems.

Noelle R Noyes, Xiang Yang, Lyndsey M Linke, Roberta J Magnuson, Shaun R Cook, Rahat Zaheer, Hua Yang, Dale R Woerner, Ifigenia Geornaras, Jessica A McArt and 7 more

Abstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 81 papers.

0numbers the graph read from it
0cells of the map it votes in
81citing 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

81 citing papers in PubMed.

  1. Review
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  12. OLTA: Optimizing bait seLection for TArgeted sequencing.Bioinformatics (Oxford, England) · 2025
    Article
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  18. Review
  19. Microorganisms · 2024
    Review
  20. Article

21 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

17 authors.

Noelle R NoyesDepartment of Clinical Sciences, College of Veterinary Medicine and Biomedical Sciences, Colorado State University, Fort Collins, CO, USA.
Xiang YangDepartment of Animal Sciences, College of Agricultural Sciences, Colorado State University, Fort Collins, CO, USA.
Lyndsey M LinkeDepartment of Clinical Sciences, College of Veterinary Medicine and Biomedical Sciences, Colorado State University, Fort Collins, CO, USA.
Roberta J MagnusonDepartment of Clinical Sciences, College of Veterinary Medicine and Biomedical Sciences, Colorado State University, Fort Collins, CO, USA.
Shaun R CookAgriculture and Agri-Food Canada Research Centre, Lethbridge, AB, Canada.
Rahat ZaheerAgriculture and Agri-Food Canada Research Centre, Lethbridge, AB, Canada.
Hua YangDepartment of Animal Sciences, College of Agricultural Sciences, Colorado State University, Fort Collins, CO, USA.
Dale R WoernerDepartment of Animal Sciences, College of Agricultural Sciences, Colorado State University, Fort Collins, CO, USA.
Ifigenia GeornarasDepartment of Animal Sciences, College of Agricultural Sciences, Colorado State University, Fort Collins, CO, USA.
Jessica A McArtDepartment of Population Medicine &Diagnostic Sciences, Cornell University, Ithaca, NY, USA.
Sheryl P GowCentre for Food-borne, Environmental Zoonotic Infectious Diseases, Public Health Agency of Canada, University of Saskatoon, Saskatchewan, Canada.
Jaime RuizDepartment of Computer Sciences, College of Natural Sciences, Colorado State University, Fort Collins, CO, USA.
Kenneth L JonesDepartment of Biochemistry and Molecular Genetics, School of Medicine, University of Colorado, Denver, CO, USA.
Christina A BoucherDepartment of Computer Sciences, College of Natural Sciences, Colorado State University, Fort Collins, CO, USA.
Tim A McAllisterAgriculture and Agri-Food Canada Research Centre, Lethbridge, AB, Canada.
Keith E BelkDepartment of Animal Sciences, College of Agricultural Sciences, Colorado State University, Fort Collins, CO, USA.
Paul S MorleyDepartment of Clinical Sciences, College of Veterinary Medicine and Biomedical Sciences, Colorado State University, Fort Collins, CO, USA.

Funding

Colorado Clinical and Translational Sciences InstituteUL1TR001082 · NCATS · UNIVERSITY OF COLORADO DENVER · PI SOKOL, RONALD J. · 2013 to 2017
$48.0M
Veterinary Pre-Doctoral Research Scholars ProgramT32OD012201 · OD · COLORADO STATE UNIVERSITY · PI VANDEWOUDE, SUE · 2013 to 2019
$795k
NCATS NIH HHS UL1 TR001082NIH HHS T32 OD012201NIH HHS T32OD012201
6 · The paper itself

Abstract

It has been proposed that livestock production effluents such as wastewater, airborne dust and manure increase the density of antimicrobial resistant bacteria and genes in the environment. The public health risk posed by this proposed outcome has been difficult to quantify using traditional microbiological approaches. We utilized shotgun metagenomics to provide a first description of the resistome of North American dairy and beef production effluents, and identify factors that significantly impact this resistome. We identified 34 mechanisms of antimicrobial drug resistance within 34 soil, manure and wastewater samples from feedlot, ranch and dairy operations. The majority of resistance-associated sequences found in all samples belonged to tetracycline resistance mechanisms. We found that the ranch samples contained significantly fewer resistance mechanisms than dairy and feedlot samples, and that the resistome of dairy operations differed significantly from that of feedlots. The resistome in soil, manure and wastewater differed, suggesting that management of these effluents should be tailored appropriately. By providing a baseline of the cattle production waste resistome, this study represents a solid foundation for future efforts to characterize and quantify the public health risk posed by livestock effluents.

Indexed as

Drug Resistance, MicrobialSoil MicrobiologyWaste ProductsAnimalsBiodiversityCanadaCattleCluster AnalysisLivestockManureMetagenomeMetagenomicsUnited StatesWastewaterManureWaste ProductsWastewater

Identifiers

PMID27095377
PMCPMC4837390

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.