Evidence map›Paper›PMID 41053118›Full record

ArticleScientific reports2025

A new molecular seed assay to predict Ustilago nuda field infection levels.

Cecilia Panzetti, Eveline Jenny, Irene Bänziger, Andreas Kägi, Susanne Vogelgsang, Thomas Hebeisen, Peter Büttner, Daniel Croll, Franco Widmer, Karen E Sullam

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Cecilia PanzettiResearch Group Molecular Ecology, Agroscope, 8046, Zurich, Switzerland.
Eveline JennyResearch Group Extension Arable Crops, Agroscope, 8046, Zurich, Switzerland.
Irene BänzigerResearch Group Extension Arable Crops, Agroscope, 8046, Zurich, Switzerland.
Andreas KägiResearch Group Extension Arable Crops, Agroscope, 8046, Zurich, Switzerland.
Susanne VogelgsangResearch Group Extension Arable Crops, Agroscope, 8046, Zurich, Switzerland.
Thomas HebeisenResearch Group Seed Quality, Agroscope, 8046, Zurich, Switzerland.
Peter BüttnerInstitute for Plant Protection, Mycology, Bavarian State Research Center for Agriculture, 85354, Freising, Germany.
Daniel CrollLaboratory of Evolutionary Genetics, University of Neuchâtel, 2000, Neuchâtel, Switzerland.
Franco WidmerResearch Group Molecular Ecology, Agroscope, 8046, Zurich, Switzerland.
Karen E SullamResearch Group Molecular Ecology, Agroscope, 8046, Zurich, Switzerland. karen.sullam@agroscope.admin.ch.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Seed health tests are performed to prevent sowing untreated seeds with problematic pathogen levels. The detection of internal seedborne pathogens like Ustilago nuda, causing loose smut in barley (Hordeum vulgare), is challenging because symptoms only appear when teliospores replace barley inflorescences and smutted ears develop. Currently, U. nuda seed infection levels are determined from the visual inspections of extracted embryos or fields of plants used for seed production, both of which are laborious and can be unreliable. To improve U. nuda detection, we developed a multiplex qPCR method targeting U. nuda and H. vulgare DNA. Naturally infected seed lots were tested using this qPCR method and the visual analysis of embryos. We grew the same seed lots in the field over two seasons and used the observed smutted ears as the reference infection level. The qPCR results, U. nuda DNA normalized to H. vulgare DNA, better correlated with observed field infections than the number of infected embryos. Our qPCR method more accurately distinguished seed lots with infections above and below the field tolerance threshold. It offers a reliable alternative to the visual analysis of extracted embryos. The integration of our qPCR method with field observations can enhance U. nuda management and reduce unnecessary prophylactic seed treatments, thereby bolstering integrated pest management strategies.

Indexed as

HordeumPlant DiseasesSeedsUstilagoDNA, FungalReal-Time Polymerase Chain ReactionDNA, FungalLoose smut of barleyMolecular detectionPhytopathologyqPCRSeed testingUstilago nuda

Identifiers

PMID41053118
PMCPMC12501295

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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.