Evidence map›Paper›PMID 27917931›Full record

ArticleScientific reports2016

Metagenomic profiling of historic Colorado Front Range flood impact on distribution of riverine antibiotic resistance genes.

Emily Garner, Joshua S Wallace, Gustavo Arango Argoty, Caitlin Wilkinson, Nicole Fahrenfeld, Lenwood S Heath, Liqing Zhang, Mazdak Arabi, Diana S Aga, Amy Pruden

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 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Comparison of methods proposed for monitoring cefotaxime-resistantApplied and environmental microbiology · 2024
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  7. Prevalence of Antibiotic Resistance Genes in Air-Conditioning Systems in Hospitals, Farms, and Residences.International journal of environmental research and public health · 2019
    Article
  8. Article
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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

10 authors.

Emily GarnerDepartment of Civil and Environmental Engineering, Virginia Tech, Blacksburg, VA 24061, USA.
Joshua S WallaceDepartment of Chemistry, University at Buffalo, The State University of New York, Buffalo, NY 14260, USA.
Gustavo Arango ArgotyDepartment of Computer Science, Virginia Tech, Blacksburg, VA 24061, USA.
Caitlin WilkinsonDepartment of Civil and Environmental Engineering, Virginia Tech, Blacksburg, VA 24061, USA.
Nicole FahrenfeldDepartment of Civil and Environmental Engineering, Rutgers University, Piscataway, NJ 08854, USA.
Lenwood S HeathDepartment of Computer Science, Virginia Tech, Blacksburg, VA 24061, USA.
Liqing ZhangDepartment of Computer Science, Virginia Tech, Blacksburg, VA 24061, USA.
Mazdak ArabiDepartment of Civil and Environmental Engineering, Colorado State University, Fort Collins, CO, 80523, USA.
Diana S AgaDepartment of Chemistry, University at Buffalo, The State University of New York, Buffalo, NY 14260, USA.
Amy PrudenDepartment of Civil and Environmental Engineering, Virginia Tech, Blacksburg, VA 24061, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Record-breaking floods in September 2013 caused massive damage to homes and infrastructure across the Colorado Front Range and heavily impacted the Cache La Poudre River watershed. Given the unique nature of this watershed as a test-bed for tracking environmental pathways of antibiotic resistance gene (ARG) dissemination, we sought to determine the impact of extreme flooding on ARG reservoirs in river water and sediment. We utilized high-throughput DNA sequencing to obtain metagenomic profiles of ARGs before and after flooding, and investigated 23 antibiotics and 14 metals as putative selective agents during post-flood recovery. With 277 ARG subtypes identified across samples, total bulk water ARGs decreased following the flood but recovered to near pre-flood abundances by ten months post-flood at both a pristine site and at a site historically heavily influenced by wastewater treatment plants and animal feeding operations. Network analysis of de novo assembled sequencing reads into 52,556 scaffolds identified ARGs likely located on mobile genetic elements, with up to 11 ARGs per plasmid-associated scaffold. Bulk water bacterial phylogeny correlated with ARG profiles while sediment phylogeny varied along the river's anthropogenic gradient. This rare flood afforded the opportunity to gain deeper insight into factors influencing the spread of ARGs in watersheds.

Indexed as

Water MicrobiologyBacteriaColoradoDrug Resistance, BacterialFloodsHumansMetagenomeMetagenomicsPhylogenyRivers

Identifiers

PMID27917931
PMCPMC5137141

What OpenQuestion holds

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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.