Evidence map›Paper›PMID 33774111›Full record

ReviewJournal of microbiological methods2021

Twenty-first century molecular methods for analyzing antimicrobial resistance in surface waters to support One Health assessments.

A M Franklin, N E Brinkman, M A Jahne, S P Keely

Open access · greenAbstract readReview
In one paragraph

Review in Journal of microbiological methods, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
5.0field-weighted citation impact, top 5% 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

16 citing papers in PubMed, 42 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. Change in Diagnosis ofAntibiotics (Basel, Switzerland) · 2024
    Review
  7. Review
  8. Article
  9. Review
  10. Article
  11. Antibiotic Resistance Genes in Aerosols: Baseline from Kuwait.International journal of molecular sciences · 2023
    Article
  12. Article
  13. Clinically Relevant β-Lactam Resistance Genes in Wastewater Treatment Plants.International journal of environmental research and public health · 2022
    Review
  14. Article
  15. Review
  16. Antibiotic Resistance: One Health One World Outlook.Frontiers in cellular and infection microbiology · 2021
    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

4 authors at 1 institution in 1 country.

A M FranklinOffice of Research and Development, Center for Environmental Measurement and Modeling, US Environmental Protection Agency, 26 Martin Luther King West, Cincinnati, OH 45268, USA. Electronic address: Franklin.Alison@epa.gov.
N E BrinkmanOffice of Research and Development, Center for Environmental Solutions and Emergency Response, US Environmental Protection Agency, 26 Martin Luther King West, Cincinnati, OH 45268, USA.
M A JahneOffice of Research and Development, Center for Environmental Solutions and Emergency Response, US Environmental Protection Agency, 26 Martin Luther King West, Cincinnati, OH 45268, USA.
S P KeelyOffice of Research and Development, Center for Environmental Measurement and Modeling, US Environmental Protection Agency, 26 Martin Luther King West, Cincinnati, OH 45268, USA.
Environmental Protection Agency · US

Funding

Intramural EPA EPA999999
6 · The paper itself

Abstract

Antimicrobial resistance (AMR) in the environment is a growing global health concern, especially the dissemination of AMR into surface waters due to human and agricultural inputs. Within recent years, research has focused on trying to understand the impact of AMR in surface waters on human, agricultural and ecological health (One Health). While surface water quality assessments and surveillance of AMR have historically utilized culture-based methods, culturing bacteria has limitations due to difficulty in isolating environmental bacteria and the need for a priori information about the bacteria for selective isolation. The use of molecular techniques to analyze AMR at the genetic level has helped to overcome the difficulties with culture-based techniques since they do not require advance knowledge of the bacterial population and can analyze uncultivable environmental bacteria. The aim of this review is to provide an overview of common contemporary molecular methods available for analyzing AMR in surface waters, which include high throughput real-time polymerase chain reaction (HT-qPCR), metagenomics, and whole genome sequencing. This review will also feature how these methods may provide information on human and animal health risks. HT-qPCR works at the nanoliter scale, requires only a small amount of DNA, and can analyze numerous gene targets simultaneously, but may lack in analytical sensitivity and the ability to optimize individual assays compared to conventional qPCR. Metagenomics offers more detailed genomic information and taxonomic resolution than PCR by sequencing all the microbial genomes within a sample. Its open format allows for the discovery of new antibiotic resistance genes; however, the quantity of DNA necessary for this technique can be a limiting factor for surface water samples that typically have low numbers of bacteria per sample volume. Whole genome sequencing provides the complete genomic profile of a single environmental isolate and can identify all genetic elements that may confer AMR. However, a main disadvantage of this technique is that it only provides information about one bacterial isolate and is challenging to utilize for community analysis. While these contemporary techniques can quickly provide a vast array of information about AMR in surface waters, one technique does not fully characterize AMR nor its potential risks to human, animal, or ecological health. Rather, a combination of techniques (including both molecular- and culture-based) are necessary to fully understand AMR in surface waters from a One Health perspective.

Indexed as

Drug Resistance, BacterialOne HealthWater MicrobiologyAnimalsAnti-Bacterial AgentsBacteriaHumansMetagenomicsAnti-Bacterial AgentsAntibiotic resistance genesAntimicrobial resistanceEnvironmental resistomeHigh throughput quantitative PCRHuman healthMetagenomicsMobile genetic elementsMolecular methodsOne HealthRisk assessmentSurface watersWhole genome sequencing

Identifiers

PMID33774111
PMCPMC8159016
OpenAlexW3136146433

What OpenQuestion holds

Textmetadata
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.