Evidence map›Paper›PMID 34576712›Full record

ArticleMicroorganisms2021

Novel Microdialysis Technique Reveals a Dramatic Shift in Metabolite Secretion during the Early Stages of the Interaction between the Ectomycorrhizal Fungus

Krista L Plett, Scott Buckley, Jonathan M Plett, Ian C Anderson, Judith Lundberg-Felten, Sandra Jämtgård

Open access · goldAbstract read
In one paragraph

Article in Microorganisms, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

6 citing papers in PubMed, 16 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Transcriptome Analysis ofMicroorganisms · 2024
    Article
  5. Article
  6. 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

6 authors at 3 institutions in 2 countries.

Krista L PlettHawkesbury Institute for the Environment, Western Sydney University, Richmond, Hawkesbury, NSW 2753, Australia.ORCID 0000-0001-6422-3754
Scott BuckleyDepartment of Forest Ecology and Management, Swedish University of Agricultural Sciences, SE-901 83 Umeå, Sweden.
Jonathan M PlettHawkesbury Institute for the Environment, Western Sydney University, Richmond, Hawkesbury, NSW 2753, Australia.
Ian C AndersonHawkesbury Institute for the Environment, Western Sydney University, Richmond, Hawkesbury, NSW 2753, Australia.
Judith Lundberg-FeltenUmeå Plant Science Centre, Department of Forest Genetics and Plant Physiology, Swedish University of Agricultural Sciences, SE-901 83 Umeå, Sweden.
Sandra JämtgårdDepartment of Forest Ecology and Management, Swedish University of Agricultural Sciences, SE-901 83 Umeå, Sweden.
Swedish University of Agricultural Sciences · SEWestern Sydney University · AUNew South Wales Department of Primary Industries · AU

Funding

Australian Research Council DP190102254Bio4EnergyKempe FoundationSwedish Foundation for International Cooperation in Research and Higher EducationTrees and Crops for the Future
6 · The paper itself

Abstract

The colonisation of tree roots by ectomycorrhizal (ECM) fungi is the result of numerous signalling exchanges between organisms, many of which occur before physical contact. However, information is lacking about these exchanges and the compounds that are secreted by each organism before contact. This is in part due to a lack of low disturbance sampling methods with sufficient temporal and spatial resolution to capture these exchanges. Using a novel in situ microdialysis approach, we sampled metabolites released from

Indexed as

ectomycorrhizal fungimetabolomicsmicrodialysispre-symbiosis signalling

Identifiers

PMID34576712
PMCPMC8465077
OpenAlexW3194399176

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.