Evidence map›Paper›PMID 30283425›Full record

ArticleFrontiers in microbiology2018

Characterizing the Human Mycobiota: A Comparison of Small Subunit rRNA, ITS1, ITS2, and Large Subunit rRNA Genomic Targets.

Michael Hoggard, Anna Vesty, Giselle Wong, Johanna M Montgomery, Chantelle Fourie, Richard G Douglas, Kristi Biswas, Michael W Taylor

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 67 papers.

0numbers the graph read from it
0cells of the map it votes in
67citing 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

67 citing papers in PubMed.

  1. Review
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  10. Article
  11. Review
  12. The Gut Mycobiome for Precision Medicine.Journal of fungi (Basel, Switzerland) · 2025
    Review
  13. Protein Coding Low-CopyEcology and evolution · 2025
    Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

7 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

8 authors.

Michael HoggardSchool of Biological Sciences, The University of Auckland, Auckland, New Zealand.
Anna VestySchool of Medicine, The University of Auckland, Auckland, New Zealand.
Giselle WongSchool of Biological Sciences, The University of Auckland, Auckland, New Zealand.
Johanna M MontgomeryDepartment of Physiology, Centre for Brain Research, The University of Auckland, Auckland, New Zealand.
Chantelle FourieDepartment of Physiology, Centre for Brain Research, The University of Auckland, Auckland, New Zealand.
Richard G DouglasSchool of Medicine, The University of Auckland, Auckland, New Zealand.
Kristi BiswasSchool of Medicine, The University of Auckland, Auckland, New Zealand.
Michael W TaylorSchool of Biological Sciences, The University of Auckland, Auckland, New Zealand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Interest in the human microbiome has increased dramatically in the last decade. However, much of this research has focused on bacteria, while the composition and roles of their fungal counterparts remain less understood. Furthermore, a variety of methodological approaches have been applied, and the comparability between studies is unclear. This study compared four primer pairs targeting the small subunit (SSU) rRNA (18S), ITS1, ITS2, and large subunit (LSU) rRNA (26S) genomic regions for their ability to accurately characterize fungal communities typical of the human mycobiota. All four target regions of 21 individual fungal mock community taxa were capable of being amplified adequately and sequenced. Mixed mock community analyses revealed marked variability in the ability of each primer pair to accurately characterize a complex community. ITS target regions outperformed LSU and SSU. Of the ITS regions, ITS1 failed to generate sequences for

Indexed as

fungihuman microbiomeinternal transcribed spacermicrobiotamycobiotanext-generation sequencing

Identifiers

PMID30283425
PMCPMC6157398

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.