Evidence map›Paper›PMID 39831564›Full record

ArticleMolecular ecology resources2025

Exploring Environmental Microfungal Diversity Through Serial Single Cell Screening.

Joana Mariz, Ali Nawaz, Yvonne Bösch, Christian Wurzbacher

Abstract read
In one paragraph

Article in Molecular ecology resources, 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. Diversity of Microscopic Fungi.Journal of fungi (Basel, Switzerland) · 2026
    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

4 authors.

Joana MarizChair of Urban Water Systems Engineering, Technical University of Munich, Garching, Germany.
Ali NawazChair of Urban Water Systems Engineering, Technical University of Munich, Garching, Germany.
Yvonne BöschChair of Urban Water Systems Engineering, Technical University of Munich, Garching, Germany.
Christian WurzbacherChair of Urban Water Systems Engineering, Technical University of Munich, Garching, Germany.ORCID https://orcid.org/0000-0001-7418-0831

Funding

Deutsche Forschungsgemeinschaft WU 890/2-1
6 · The paper itself

Abstract

Known for its remarkable diversity and ecological importance, the fungal kingdom remains largely unexplored. In fact, the number of unknown and undescribed fungi is predicted to exceed the number of known fungal species by far. Despite efforts to uncover these dark fungal taxa, we still face inherent sampling biases and methodological limitations. Here, we present a framework that combines taxonomic knowledge, molecular biology and data processing to explore the fungal biodiversity of enigmatic aquatic fungal lineages. Our work is based on serial screening of environmental fungal cells to approach unknown fungal taxa. Microscopic documentation is followed by DNA analysis of laser micro-dissected cells, coupled with a ribosomal operon barcoding step realised by long-read sequencing, followed by an optional whole genome sequencing step. We tested this approach on a range of aquatic fungal cells mostly belonging to the ecological group of aquatic hyphomycetes derived from environmental samples. From this initial screening, we were able to identify 60 potentially new fungal taxa in the target dataset. By extending this methodology to other fungal lineages associated with different habitats, we expect to increasingly characterise the molecular barcodes of dark fungal taxa in diverse environmental samples. This work offers a promising solution to the challenges posed by unknown and unculturable fungi and holds the potential to be applied to the diverse lineages of undescribed microeukaryotes.

Indexed as

BiodiversityEnvironmental MicrobiologyFungiSingle-Cell AnalysisDNA Barcoding, TaxonomicDNA, FungalPhylogenySequence Analysis, DNADNA, Fungalaquatic hyphomycetesbarcodingbiodiversitydark fungal taxalaser microdissectionribosomal operonsingle cell genomicstaxonomy

Identifiers

PMID39831564
PMCPMC11887600

What OpenQuestion holds

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LicenceCC BY-NC
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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.