Evidence map›Paper›PMID 29033905›Full record

ReviewFrontiers in microbiology2017

A Review on the Applications of Next Generation Sequencing Technologies as Applied to Food-Related Microbiome Studies.

Yu Cao, Séamus Fanning, Sinéad Proos, Kieran Jordan, Shabarinath Srikumar

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in microbiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 111 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
111citing papers in PubMed, 2 pooled it
29.6field-weighted citation impact, top 1% 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

111 citing papers in PubMed, 2 syntheses or guidelines pooled it, 292 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Review
  5. Review
  6. International journal of microbiology · 2026
    Review
  7. Article
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  9. Review
  10. Review
  11. Review
  12. Review
  13. Review
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  15. Review
  16. Article
  17. Review
  18. Cutting edge tools in the field of soil microbiology.Current research in microbial sciences · 2024
    Review
  19. Frontiers in microbiology · 2024
    Review
  20. Article

51 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

5 authors at 2 institutions in 1 country.

Yu CaoUCD-Centre for Food Safety, Science Centre South, University College DublinDublin, Ireland.
Séamus FanningUCD-Centre for Food Safety, Science Centre South, University College DublinDublin, Ireland.
Sinéad ProosFood for Health Ireland, Science Centre South, University College DublinDublin, Ireland.
Kieran JordanTeagasc, Food Research CentreFermoy, Ireland.
Shabarinath SrikumarUCD-Centre for Food Safety, Science Centre South, University College DublinDublin, Ireland.
University College Dublin · IETeagasc - The Irish Agriculture and Food Development Authority · IE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The development of next generation sequencing (NGS) techniques has enabled researchers to study and understand the world of microorganisms from broader and deeper perspectives. The contemporary advances in DNA sequencing technologies have not only enabled finer characterization of bacterial genomes but also provided deeper taxonomic identification of complex microbiomes which in its genomic essence is the combined genetic material of the microorganisms inhabiting an environment, whether the environment be a particular body econiche (e.g., human intestinal contents) or a food manufacturing facility econiche (e.g., floor drain). To date, 16S rDNA sequencing, metagenomics and metatranscriptomics are the three basic sequencing strategies used in the taxonomic identification and characterization of food-related microbiomes. These sequencing strategies have used different NGS platforms for DNA and RNA sequence identification. Traditionally, 16S rDNA sequencing has played a key role in understanding the taxonomic composition of a food-related microbiome. Recently, metagenomic approaches have resulted in improved understanding of a microbiome by providing a species-level/strain-level characterization. Further, metatranscriptomic approaches have contributed to the functional characterization of the complex interactions between different microbial communities within a single microbiome. Many studies have highlighted the use of NGS techniques in investigating the microbiome of fermented foods. However, the utilization of NGS techniques in studying the microbiome of non-fermented foods are limited. This review provides a brief overview of the advances in DNA sequencing chemistries as the technology progressed from first, next and third generations and highlights how NGS provided a deeper understanding of food-related microbiomes with special focus on non-fermented foods.

Indexed as

16S rDNAfood microbiomemetagenomicsmetatranscriptomicsnext generation sequencing

Identifiers

PMID29033905
PMCPMC5627019
OpenAlexW2757769340

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.