Evidence map›Paper›PMID 31527917›Full record

ArticlePloS one2019

Investigating the dispersal of antibiotic resistance associated genes from manure application to soil and drainage waters in simulated agricultural farmland systems.

Schuyler D Smith, Phillip Colgan, Fan Yang, Elizabeth L Rieke, Michelle L Soupir, Thomas B Moorman, Heather K Allen, Adina Howe

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.3field-weighted citation impact, top 21% 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

11 citing papers in PubMed, 34 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Green Tea (Antibiotics (Basel, Switzerland) · 2022
    Review
  8. Article
  9. Article
  10. Review
  11. Review
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 2 institutions in 1 country.

Schuyler D SmithBioinformatics and Computational Biology Department, Iowa State University, Ames, Iowa, United States of America.ORCID 0000-0001-5720-5611
Phillip ColganDepartment of Agricultural and Biosystems Engineering, Iowa State University, Ames, Iowa, United States of America.
Fan YangDepartment of Agricultural and Biosystems Engineering, Iowa State University, Ames, Iowa, United States of America.
Elizabeth L RiekeDepartment of Agricultural and Biosystems Engineering, Iowa State University, Ames, Iowa, United States of America.
Michelle L SoupirDepartment of Agricultural and Biosystems Engineering, Iowa State University, Ames, Iowa, United States of America.
Thomas B MoormanUnited States Department of Agriculture, Agricultural Research Service, Ames, Iowa, United States of America.
Heather K AllenUnited States Department of Agriculture, Agricultural Research Service, Ames, Iowa, United States of America.
Adina HoweBioinformatics and Computational Biology Department, Iowa State University, Ames, Iowa, United States of America.ORCID 0000-0002-7705-343X
Iowa State University · USAgricultural Research Service · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Manure from animals that have been treated with antibiotics is often used to fertilize agricultural soils and its application has previously been shown to enrich for genes associated with antibiotic resistance in agroecosystems. To investigate the magnitude of this effect, we designed a column experiment simulating manure-treated agricultural soil that utilizes artificial subsurface drainage to determine the duration and extent which this type of manure fertilization impacts the set of genes associated with antibiotic resistance in drainage water. We classified ARGs in manure-treated drainage effluent water by its source of origin. Overall, we found that 61% and 7% of the total abundance of ARGs found in drainage water samples could be attributed to manure enrichment and manure addition, respectively. Among these ARGs, we identified 75 genes unique to manure that persisted in both soil and drainage water throughout a drainage season typical of the Upper Midwestern United States. While most of these genes gradually decreased in abundance over time, the IS6100-associated tet(33) gene accrued. These results demonstrate the influence of manure applications on the composition of the resistome observed in agricultural drainage water and highlight the importance of anthropogenic ARGs in the environment.

Indexed as

AgricultureAnimalsAnti-Bacterial AgentsDrainageDrug Resistance, MicrobialFarmsGenes, BacterialManureMidwestern United StatesSoilSoil MicrobiologyAnti-Bacterial AgentsManureSoil

Identifiers

PMID31527917
PMCPMC6748443
OpenAlexW2974389162

What OpenQuestion holds

Textmetadata
LicenceCC0
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.