Evidence map›Paper›PMID 27460217›Full record

ArticleMycorrhiza2016

Fine-scale genetic structure of natural Tuber aestivum sites in southern Germany.

Virginie Molinier, Claude Murat, Andri Baltensweiler, Ulf Büntgen, Francis Martin, Barbara Meier, Barbara Moser, Ludger Sproll, Ulrich Stobbe, Willy Tegel and 2 more

Open access · bronzeAbstract read
PubMed Publisher
In one paragraph

Article in Mycorrhiza, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
7.5field-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

15 citing papers in PubMed, 29 citations in OpenAlex.

  1. Article
  2. Genetic Diversity and Gene Flow of the Ectomycorrhizal MushroomJournal of fungi (Basel, Switzerland) · 2026
    Article
  3. Article
  4. Article
  5. Cultivation and mating of the truffleApplied and environmental microbiology · 2025
    Article
  6. Article
  7. Climate change-induced stress disrupts ectomycorrhizal interaction networks at the boreal-temperate ecotone.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Review
  15. 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

12 authors at 4 institutions in 4 countries.

Virginie MolinierSwiss Federal Institute for Forest Snow and Landscape Research (WSL), Birmensdorf, 8903, Switzerland. molinier.virginie@gmail.com.
Claude MuratINRA, Université de Lorraine, UMR1136 Interactions Arbres-Microorganismes, Laboratoire d'Excellence ARBRE, F-54280, Champenoux, France.
Andri BaltensweilerSwiss Federal Institute for Forest Snow and Landscape Research (WSL), Birmensdorf, 8903, Switzerland.
Ulf BüntgenSwiss Federal Institute for Forest Snow and Landscape Research (WSL), Birmensdorf, 8903, Switzerland.
Francis MartinINRA, Université de Lorraine, UMR1136 Interactions Arbres-Microorganismes, Laboratoire d'Excellence ARBRE, F-54280, Champenoux, France.
Barbara MeierSwiss Federal Institute for Forest Snow and Landscape Research (WSL), Birmensdorf, 8903, Switzerland.
Barbara MoserSwiss Federal Institute for Forest Snow and Landscape Research (WSL), Birmensdorf, 8903, Switzerland.
Ludger SprollDeutsche Trüffelbäume, Radolfzell, Germany.
Ulrich StobbeDeutsche Trüffelbäume, Radolfzell, Germany.
Willy TegelInstitute of Forest Sciences IWW, Freiburg University, Freiburg, Germany.
Simon EgliSwiss Federal Institute for Forest Snow and Landscape Research (WSL), Birmensdorf, 8903, Switzerland.
Martina PeterSwiss Federal Institute for Forest Snow and Landscape Research (WSL), Birmensdorf, 8903, Switzerland.
Swiss Federal Institute for Forest, Snow and Landscape Research · CHInteractions Arbres-Microorganismes · FROeschger Centre for Climate Change Research · CHUniversity of Freiburg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although the Burgundy truffle (Tuber aestivum) is an ectomycorrhizal fungus of important economic value, its subterranean life cycle and population biology are still poorly understood. Here, we determine mating type and simple sequence repeat (SSR) maternal genotypes of mapped fruiting bodies to assess their genetic structure within two naturally colonized forest sites in southern Germany. Forty-one genotypes were identified from 112 fruiting bodies. According to their mating types, the maternal genotypes were aggregated only in one population. Genotypic diversity of individuals that mostly were small and occurred in 1 out of 2 years of sampling was high. Although these results suggested a ruderal colonization strategy, some genets spread several hundred meters. This result indicates that, besides sexual spore dispersal, vegetative growth or spreading by mycelial propagules contributes to dissemination. In one site, fewer individuals with a tendency to expand genets belonging to only one genetic group were observed. In the second site, numerous small individuals were found and were grouped into two clearly differentiated genetic groups that were spatially intermingled. Forest characteristics and disturbances are possible reasons for the observed genetic patterns. Our findings contribute to a better understanding of the biology of one of the most widespread and commercially important truffle species. This knowledge is critical for establishing and maintaining sustainable long-term truffle cultivations.

Indexed as

AscomycotaDNA, FungalFruiting Bodies, FungalGenes, Mating Type, FungalGenetic MarkersGenetic VariationGenotypeGermanyMycorrhizaeDNA, FungalGenetic MarkersBurgundy truffleGenetsMating-type genesPopulation geneticsPropagation strategySSR markers

Identifiers

PMID27460217
OpenAlexW2494122401

What OpenQuestion holds

Textmetadata
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.