Evidence map›Paper›PMID 27709246›Full record

ReviewMicrobial ecology2017

Functional Metagenomics as a Tool for Identification of New Antibiotic Resistance Genes from Natural Environments.

Débora Farage Knupp Dos Santos, Paula Istvan, Betania Ferraz Quirino, Ricardo Henrique Kruger

Abstract readReview
PubMed Publisher
In one paragraph

Review in Microbial ecology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

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  18. Versatile lifestyles ofVirulence · 2022
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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

4 authors.

Débora Farage Knupp Dos SantosDepartamento de Biologia Celular, Universidade de Brasília, Brasília, DF, Brazil.
Paula IstvanDepartamento de Biologia Celular, Universidade de Brasília, Brasília, DF, Brazil.
Betania Ferraz QuirinoEmbrapa-Agroenergia, Brasília, DF, Brazil.
Ricardo Henrique KrugerDepartamento de Biologia Celular, Universidade de Brasília, Brasília, DF, Brazil. kruger@unb.br.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antibiotic resistance has become a major concern for human and animal health, as therapeutic alternatives to treat multidrug-resistant microorganisms are rapidly dwindling. The problem is compounded by low investment in antibiotic research and lack of new effective antimicrobial drugs on the market. Exploring environmental antibiotic resistance genes (ARGs) will help us to better understand bacterial resistance mechanisms, which may be the key to identifying new drug targets. Because most environment-associated microorganisms are not yet cultivable, culture-independent techniques are essential to determine which organisms are present in a given environmental sample and allow the assessment and utilization of the genetic wealth they represent. Metagenomics represents a powerful tool to achieve these goals using sequence-based and functional-based approaches. Functional metagenomic approaches are particularly well suited to the identification new ARGs from natural environments because, unlike sequence-based approaches, they do not require previous knowledge of these genes. This review discusses functional metagenomics-based ARG research and describes new possibilities for surveying the resistome in environmental samples.

Indexed as

EnvironmentAnimalsAnti-Bacterial AgentsBacterial InfectionsBase SequenceCulture TechniquesDNA, BacterialDrug Resistance, BacterialDrug Resistance, MicrobialGenes, BacterialHumansMetagenomeMetagenomicsAnti-Bacterial AgentsDNA, BacterialAntibiotic resistance genesEnvironmentFunctional metagenomicsResistome

Identifiers

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.