Evidence map›Paper›PMID 23475615›Full record

ReviewApplied and environmental microbiology2013

High-throughput sequencing and metagenomics: moving forward in the culture-independent analysis of food microbial ecology.

Danilo Ercolini

Abstract readReview
In one paragraph

Review in Applied and environmental microbiology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 134 papers.

0numbers the graph read from it
0cells of the map it votes in
134citing 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

134 citing papers in PubMed.

  1. Article
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  3. Review
  4. From fruit waste to foods via fermentation.Current research in food science · 2026
    Review
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74 more citing papers are in PubMed but not listed here.

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

1 author.

Danilo ErcoliniDepartment of Agriculture, University of Naples Federico II, Portici, Italy. ercolini@unina.it

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Following recent trends in environmental microbiology, food microbiology has benefited from the advances in molecular biology and adopted novel strategies to detect, identify, and monitor microbes in food. An in-depth study of the microbial diversity in food can now be achieved by using high-throughput sequencing (HTS) approaches after direct nucleic acid extraction from the sample to be studied. In this review, the workflow of applying culture-independent HTS to food matrices is described. The current scenario and future perspectives of HTS uses to study food microbiota are presented, and the decision-making process leading to the best choice of working conditions to fulfill the specific needs of food research is described.

Indexed as

Food MicrobiologyGenes, BacterialHigh-Throughput Nucleotide SequencingBacteriaBiotaEcosystemFermentationFood ContaminationMetagenomicsMicrobiotaRNA, BacterialSequence Analysis, RNARNA, Bacterial

Identifiers

PMID23475615
PMCPMC3685257

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.