Evidence map›Paper›PMID 37342167›Full record

ArticleApplications in plant sciences

A metabarcoding protocol targeting two DNA regions to analyze root-associated fungal communities in ferns and lycophytes.

Thais Guillen-Otero, Soon-Jae Lee, Cheng-Wei Chen, Peter Szoevenyi, Michael Kessler

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Article in Applications in plant sciences. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
6.8field-weighted citation impact, top 4% 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

8 citing papers in PubMed, 13 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Diversity of unique, nonmycorrhizal endophytic fungi in cultivatedPlant-environment interactions (Hoboken, N.J.) · 2024
    Article
  5. Fern mycorrhizae do not respond to fertilization in a tropical montane forest.Plant-environment interactions (Hoboken, N.J.) · 2024
    Article
  6. Article
  7. Article
  8. Article
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 3 institutions in 2 countries.

Thais Guillen-OteroDepartment of Systematic and Evolutionary Botany University of Zurich Zurich Switzerland.ORCID 0000-0002-4051-0545
Soon-Jae LeeDepartment of Ecology and Evolution University of Lausanne Lausanne Switzerland.
Cheng-Wei ChenBiodiversity Program, Taiwan International Graduate Program Academia Sinica and National Taiwan Normal University Taipei 115 Taiwan.
Peter SzoevenyiDepartment of Systematic and Evolutionary Botany University of Zurich Zurich Switzerland.
Michael KesslerDepartment of Systematic and Evolutionary Botany University of Zurich Zurich Switzerland.
University of Zurich · CHNational Taiwan Normal University · TWUniversity of Lausanne · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Premise: Detailed studies of the fungi associated with lycophytes and ferns provide crucial insights into the early evolution of land plants. However, most investigations to date have assessed fern-fungus interactions based only on visual root inspection. In the present research, we establish and evaluate a metabarcoding protocol to analyze the fungal communities associated with fern and lycophyte roots. Methods: We used two primer pairs focused on the ITS rRNA region to screen the general fungal communities, and the 18S rRNA to target Glomeromycota fungi (i.e., arbuscular mycorrhizal fungi). To test these approaches, we collected and processed roots from 12 phylogenetically distant fern and lycophyte species. Results: We found marked compositional differences between the ITS and 18S data sets. While the ITS data set demonstrated the dominance of orders Glomerales (phylum Glomeromycota), Pleosporales, and Helotiales (both in phylum Ascomycota), the 18S data set revealed the greatest diversity of Glomeromycota. Non-metric multidimensional scaling (NMDS) ordination suggested an important geographical effect in sample similarities. Discussion: The ITS-based approach is a reliable and effective method to analyze the fungal communities associated with fern and lycophyte roots. The 18S approach is more appropriate for studies focused on the detailed screening of arbuscular mycorrhizal fungi.

Indexed as

18S rRNAampliconsDNA sequencingfernsITSlycophytesmetabarcodingmycorrhizal fungi

Identifiers

PMID37342167
PMCPMC10278937
OpenAlexW4380372566

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.