Evidence map›Paper›PMID 33902716›Full record

ArticleEnvironmental microbiome2020

The distribution of microbiomes and resistomes across farm environments in conventional and organic dairy herds in Pennsylvania.

Dipti W Pitta, Nagaraju Indugu, John D Toth, Joseph S Bender, Linda D Baker, Meagan L Hennessy, Bonnie Vecchiarelli, Helen Aceto, Zhengxia Dou

Open access · goldAbstract read
In one paragraph

Article in Environmental microbiome, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 38% 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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 31 citations in OpenAlex.

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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

9 authors at 2 institutions in 1 country.

Dipti W PittaDepartment of Clinical Studies, School of Veterinary Medicine, University of Pennsylvania, Kennett Square, PA, USA. dpitta@vet.upenn.edu.ORCID http://orcid.org/0000-0002-3102-9119
Nagaraju InduguDepartment of Clinical Studies, School of Veterinary Medicine, University of Pennsylvania, Kennett Square, PA, USA.
John D TothDepartment of Clinical Studies, School of Veterinary Medicine, University of Pennsylvania, Kennett Square, PA, USA.
Joseph S BenderDepartment of Clinical Studies, School of Veterinary Medicine, University of Pennsylvania, Kennett Square, PA, USA.
Linda D BakerDepartment of Clinical Studies, School of Veterinary Medicine, University of Pennsylvania, Kennett Square, PA, USA.
Meagan L HennessyDepartment of Clinical Studies, School of Veterinary Medicine, University of Pennsylvania, Kennett Square, PA, USA.
Bonnie VecchiarelliDepartment of Clinical Studies, School of Veterinary Medicine, University of Pennsylvania, Kennett Square, PA, USA.
Helen AcetoDepartment of Clinical Studies, School of Veterinary Medicine, University of Pennsylvania, Kennett Square, PA, USA.
Zhengxia DouDepartment of Clinical Studies, School of Veterinary Medicine, University of Pennsylvania, Kennett Square, PA, USA.
University of Pennsylvania · USGenesis HealthCare · US

Funding

Pennsylvania Department of Agriculture 44166102
6 · The paper itself

Abstract

backgroundAntimicrobial resistance is a serious concern. Although the widespread use of antimicrobials in livestock has exacerbated the emergence and dissemination of antimicrobial resistance genes (ARG) in farm environments, little is known about whether antimicrobial use affects distribution of ARG in livestock systems. This study compared the distribution of microbiomes and resistomes (collections of ARG) across different farm sectors in dairy herds that differed in their use of antimicrobials. Feces from heifers, non-lactating, and lactating cows, manure storage, and soil from three conventional (antimicrobials used to treat cows) and three organic (no antimicrobials used for at least four years) farms in Pennsylvania were sampled. Samples were extracted for genomic DNA, processed, sequenced on the Illumina NextSeq platform, and analyzed for microbial community and resistome profiles using established procedures.

resultsMicrobial communities and resistome profiles clustered by sample type across all farms. Overall, abundance and diversity of ARG in feces was significantly higher in conventional herds compared to organic herds. The ARG conferring resistance to betalactams, macrolide-lincosamide-streptogramin (MLS), and tetracyclines were significantly higher in fecal samples of dairy cows from conventional herds compared to organic herds. Regardless of farm type, all manure storage samples had greater diversity (albeit low abundance) of ARG conferring resistance to aminoglycosides, tetracyclines, MLS, multidrug resistance, and phenicol. All soil samples had lower abundance of ARG compared to feces, manure, and lagoon samples and were comprised of ARG conferring resistance to aminoglycosides, glycopeptides, and multi-drug resistance. The distribution of ARG is likely driven by the composition of microbiota in the respective sample types.

conclusionsAntimicrobial use on farms significantly influenced specific groups of ARG in feces but not in manure storage or soil samples.

Indexed as

Antimicrobial resistanceDairy herdMetagenomicsResistome

Identifiers

PMID33902716
PMCPMC8066844
OpenAlexW3112196737

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.