Evidence map›Paper›PMID 31455230›Full record

ArticleBMC microbiology2019

Comparative diversity of microbiomes and Resistomes in beef feedlots, downstream environments and urban sewage influent.

Rahat Zaheer, Steven M Lakin, Rodrigo Ortega Polo, Shaun R Cook, Francis J Larney, Paul S Morley, Calvin W Booker, Sherry J Hannon, Gary Van Domselaar, Ron R Read and 1 more

Open access · goldAbstract readComparative Study
In one paragraph

Article in BMC microbiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 1 pooled it
2.4field-weighted citation impact, top 11% 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

32 citing papers in PubMed, 1 synthesis or guideline pooled it, 58 citations in OpenAlex.

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  19. Shifts of Antibiotic Resistomes in Soil Following Amendments of Antibiotics-Contained Dairy Manure.International journal of environmental research and public health · 2022
    Article
  20. FI: The Fecobiome Initiative.Foodborne pathogens and disease · 2022
    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

11 authors at 6 institutions in 2 countries.

Rahat ZaheerAgriculture and Agri-Food Canada, Lethbridge Research and Development Centre, 5403 1 Ave, Lethbridge, AB, T1J 4P4, Canada.ORCID 0000-0003-3307-4666
Steven M LakinDepartment of Clinical Sciences, Colorado State University, Fort Collins, CO, 80523, USA.
Rodrigo Ortega PoloAgriculture and Agri-Food Canada, Lethbridge Research and Development Centre, 5403 1 Ave, Lethbridge, AB, T1J 4P4, Canada.
Shaun R CookAlberta Agriculture and Forestry, 100, 5401 - 1st Avenue South, Lethbridge, AB, T1J 4V6, Canada.
Francis J LarneyAgriculture and Agri-Food Canada, Lethbridge Research and Development Centre, 5403 1 Ave, Lethbridge, AB, T1J 4P4, Canada.
Paul S MorleyDepartment of Clinical Sciences, Colorado State University, Fort Collins, CO, 80523, USA.
Calvin W BookerFeedlot Health Management Services, Okotoks, AB, Canada.
Sherry J HannonFeedlot Health Management Services, Okotoks, AB, Canada.
Gary Van DomselaarNational Microbiology Laboratory, Public Health Agency of Canada, 1015 Arlington Street, Winnipeg, MB, R3E 3R2, Canada.
Ron R ReadCumming School of Medicine, University of Calgary, 3280 Hospital Drive NW, Calgary, AB, T2N 4N1, Canada.
Tim A McAllisterAgriculture and Agri-Food Canada, Lethbridge Research and Development Centre, 5403 1 Ave, Lethbridge, AB, T1J 4P4, Canada. tim.mcallister@canada.ca.ORCID 0000-0002-8266-6513
Agriculture and Agri-Food Canada · CAAlberta Health Services · CAColorado State University · USAgriculture Food and Rural Development · CAPublic Health Agency of Canada · CAUniversity of Calgary · CA

Funding

Veterinary Pre-Doctoral Research Scholars ProgramT32OD012201 · OD · COLORADO STATE UNIVERSITY · PI VANDEWOUDE, SUE · 2013 to 2019
$795k
NIH HHS T32 OD012201
6 · The paper itself

Abstract

backgroundComparative knowledge of microbiomes and resistomes across environmental interfaces between animal production systems and urban settings is lacking. In this study, we executed a comparative analysis of the microbiota and resistomes of metagenomes from cattle feces, catch basin water, manured agricultural soil and urban sewage.

resultsMetagenomic DNA from composite fecal samples (FC; n = 12) collected from penned cattle at four feedlots in Alberta, Canada, along with water from adjacent catchment basins (CB; n = 13), soil (n = 4) from fields in the vicinity of one of the feedlots and urban sewage influent (SI; n = 6) from two municipalities were subjected to Illumina HiSeq2000 sequencing. Firmicutes exhibited the highest prevalence (40%) in FC, whereas Proteobacteria were most abundant in CB (64%), soil (60%) and SI (83%). Among sample types, SI had the highest diversity of antimicrobial resistance (AMR), and metal and biocide resistance (MBR) classes (13 & 15) followed by FC (10 & 8), CB (8 & 4), and soil (6 & 1). The highest antimicrobial resistant (AMR) gene (ARG) abundance was harboured by FC, whereas soil samples had a very small, but unique resistome which did not overlap with FC & CB resistomes. In the beef production system, tetracycline resistance predominated followed by macrolide resistance. The SI resistome harboured β-lactam, macrolide, tetracycline, aminoglycoside, fluoroquinolone and fosfomycin resistance determinants. Metal and biocide resistance accounted for 26% of the SI resistome with a predominance of mercury resistance.

conclusionsThis study demonstrates an increasing divergence in the nature of the microbiome and resistome as the distance from the feedlot increases. Consistent with antimicrobial use, tetracycline and macrolide resistance genes were predominant in the beef production system. One of the feedlots contributed both conventional (raised with antibiotics) and natural (raised without antibiotics) pens samples. Although natural pen samples exhibited a microbiota composition that was similar to samples from conventional pens, their resistome was less complex. Similarly, the SI resistome was indicative of drug classes used in humans and the greater abundance of mercury resistance may be associated with contamination of municipal water with household and industrial products.

Indexed as

Drug Resistance, BacterialMicrobiotaAnimalsAnti-Bacterial AgentsBacteriaBacterial ProteinsBiodiversityCanadaCattleFecesManureSewageSoilSoil MicrobiologyAnti-Bacterial AgentsBacterial ProteinsManureSewageSoilAntimicrobial resistanceCattle productionMetal and biocide resistanceMicrobiomeWastewater

Identifiers

PMID31455230
PMCPMC6712873
OpenAlexW2970283910

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.