Evidence map›Paper›PMID 40016228›Full record

ArticleScientific data2025

A curated soil fungal dataset to advance fungal ecology and conservation research in Australia and Antarctica.

Luke Florence, Sean Tomlinson, Marc Freestone, John W Morgan, Jennifer L Wood, Camille Truong

Abstract readDataset
In one paragraph

Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Luke FlorenceDepartment of Environment, Plant and Animal Science, La Trobe University, Bundoora, VIC, 3083, Australia. L.Florence@latrobe.edu.au.ORCID http://orcid.org/0000-0002-1901-7772
Sean TomlinsonBiodiversity and Conservation Science, Department of Biodiversity, Conservation and Attractions, Kensington, WA, 6151, Australia.ORCID http://orcid.org/0000-0003-0864-5391
Marc FreestoneThe Biodiversity Consultancy, Cambridge, CB2 1SJ, United Kingdom.
John W MorganDepartment of Environment, Plant and Animal Science, La Trobe University, Bundoora, VIC, 3083, Australia.
Jennifer L WoodDepartment of Department of Microbiology, Anatomy, Physiology and Pharmacology, La Trobe University, Bundoora, VIC, 3083, Australia.
Camille TruongRoyal Botanic Gardens Victoria, Melbourne, VIC, 3004, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

DNA metabarcoding has played a pivotal role in advancing our understanding of the diversity and function of soil-inhabiting fungi. The Australian Microbiome Initiative has produced an extensive soil fungal metabarcoding dataset of more than 2000 plots across a breadth of ecosystems in Australia and Antarctica. Sequence data requires rigorous approaches for the integration of species occurrences into biodiversity platforms, addressing biases due to false positives or overinflated diversity estimates, among others. To tackle such biases, we conducted a rigorous analysis of the fungal dataset following best practices in fungal metabarcoding and integrated it with over 100 predictor variables to fast-track data exploration. We carefully validated our methodology based on studies conducted on historical versions of the dataset. Our approach generated robust information on Australian soil fungi that can be leveraged by end-users interested in biodiversity, biogeography, and conservation. This novel resource will unlock new frontiers in soil fungal research within the Southern Hemisphere and beyond.

Indexed as

FungiSoil MicrobiologyAntarctic RegionsAustraliaBiodiversityConservation of Natural ResourcesDNA Barcoding, TaxonomicEcosystem

Identifiers

PMID40016228
PMCPMC11868506

What OpenQuestion holds

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LicenceCC BY
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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.