Evidence map›Paper›PMID 28432095›Full record

ArticleApplied and environmental microbiology2017

Mushroom Emergence Detected by Combining Spore Trapping with Molecular Techniques.

Carles Castaño, Jonàs Oliva, Juan Martínez de Aragón, Josu G Alday, Javier Parladé, Joan Pera, José Antonio Bonet

Open access · bronzeAbstract readEvaluation Study
In one paragraph

Article in Applied and environmental microbiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
4.1field-weighted citation impact, top 7% 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

9 citing papers in PubMed, 16 citations in OpenAlex.

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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

7 authors at 2 institutions in 2 countries.

Carles CastañoForest Bioengineering Solutions S.A., Solsona, Spain carles.castanyo@fbs.cat.
Jonàs OlivaDepartament de Producció Vegetal i Ciència Forestal, Universitat de Lleida-AGROTECNIO, Lleida, Spain.
Juan Martínez de AragónForest Bioengineering Solutions S.A., Solsona, Spain.
Josu G AldayDepartament de Producció Vegetal i Ciència Forestal, Universitat de Lleida-AGROTECNIO, Lleida, Spain.
Javier ParladéProtecció Vegetal Sostenible, IRTA, Centre de Cabrils, Barcelona, Spain.
Joan PeraProtecció Vegetal Sostenible, IRTA, Centre de Cabrils, Barcelona, Spain.
José Antonio BonetDepartament de Producció Vegetal i Ciència Forestal, Universitat de Lleida-AGROTECNIO, Lleida, Spain.
Universitat de Lleida · ESForest Science and Technology Centre of Catalonia · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Obtaining reliable and representative mushroom production data requires time-consuming sampling schemes. In this paper, we assessed a simple methodology to detect mushroom emergence by trapping the fungal spores of the fruiting body community in plots where mushroom production was determined weekly. We compared the performance of filter paper traps with that of funnel traps and combined these spore trapping methods with species-specific quantitative real-time PCR and Illumina MiSeq to determine the spore abundance. Significantly more MiSeq proportional reads were generated for both ectomycorrhizal and saprotrophic fungal species using filter traps than were obtained using funnel traps. The spores of 37 fungal species that produced fruiting bodies in the study plots were identified. Spore community composition changed considerably over time due to the emergence of ephemeral fruiting bodies and rapid spore deposition (lasting from 1 to 2 weeks), which occurred in the absence of rainfall events. For many species, the emergence of epigeous fruiting bodies was followed by a peak in the relative abundance of their airborne spores. There were significant positive relationships between fruiting body yields and spore abundance in time for five of seven fungal species. There was no relationship between fruiting body yields and their spore abundance at plot level, indicating that some of the spores captured in each plot were arriving from the surrounding areas. Differences in fungal detection capacity by spore trapping may indicate different dispersal ability between fungal species. Further research can help to identify the spore rain patterns for most common fungal species.

Indexed as

AgaricalesFruiting Bodies, FungalMycological Typing TechniquesReal-Time Polymerase Chain ReactionSoil MicrobiologySpores, FungaldispersionDNA barcodingectomycorrhizalfungiLactariusmolecular identificationpropagulessaprotroph

Identifiers

PMID28432095
PMCPMC5478987
OpenAlexW2605479393

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.