Evidence map›Paper›PMID 42168281›Full record

ArticleScientific reports2026

Experimental evolution reveals genomic signatures of variety-specific selection of Cercospora beticola in Germany.

Yixuan Yang, Nathan A Wyatt, Ana L Martinez, Melvin D Bolton, Britt-Louise Lennefors, Harald Keunecke, Heinrich Reineke, Maria Köhler, Mark Varrelmann, Sebastian Liebe

Abstract read
In one paragraph

Article in Scientific reports, 2026. 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.

Yixuan YangInstitute of Sugar Beet Research, Göttingen, Germany.
Nathan A WyattSugarbeet Research Unit, USDA-ARS, Fargo, ND, USA.
Ana L MartinezDepartment of Plant Pathology, North Dakota State University, Fargo, ND, USA.
Melvin D BoltonSugarbeet Research Unit, USDA-ARS, Fargo, ND, USA.
Britt-Louise LenneforsDLF Beet Seed AB, Landskrona, Sweden.
Harald KeuneckeKWS SAAT SE & Co. KGaA, Einbeck, Germany.
Heinrich ReinekeSESVanderHave Deutschland GmbH, Würzburg, Germany.
Maria KöhlerStrube D&S GmbH, Söllingen, Germany.
Mark VarrelmannInstitute of Sugar Beet Research, Göttingen, Germany.
Sebastian LiebeInstitute of Sugar Beet Research, Göttingen, Germany. liebe@ifz-goettingen.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cercospora leaf spot, caused by Cercospora beticola, is the most destructive foliar disease of sugar beet. Management has relied heavily on fungicides, but widespread fungicide resistance emphasized the need for resistant varieties. To assess how varietal resistance shapes C. beticola populations, we conducted a 3-year field experiment at four locations in Germany using sugar beet varieties ranging from susceptible to highly resistant. Infected leaves were collected separately per variety and location to serve as inoculum for the following year, maintaining variety- and location-specific pathogen populations under controlled selective conditions. A total of 900 isolates were subjected to whole-genome sequencing and population genetic analyses. Isolates collected in 2022 showed extensive admixture among locations. Equal mating-type ratios were observed in some populations but skewed in others, suggesting that sexual reproduction may occur locally. Location-specific re-inoculation preserved population continuity but did not produce detectable local adaptation. By contrast, the population was affected to some extent by variety-specific re-inoculation. Populations from one highly resistant variety formed two divergent lineages with reduced diversity and altered allele frequency spectra, consistent with host-driven selection. Genome scans identified 26 candidate genes, including two putative effectors, associated with adaptation to the highly resistant variety. These findings demonstrate rapid C. beticola adaptation to resistant varieties, highlighting the role of host-driven selection in resistance management.

Indexed as

AscomycotaBeta vulgarisCercosporaGenome, FungalPlant DiseasesSelection, GeneticFungicides, IndustrialGermanyPlant LeavesWhole Genome SequencingFungicides, Industrial

Identifiers

PMID42168281
PMCPMC13195098

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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.