Evidence map›Paper›PMID 41224815›Full record

ArticleNature communications2025

Historic transposon mobilisation waves create distinct pools of adaptive variants in a major crop pathogen.

Tobias Baril, Guido Puccetti, Daniel Croll

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

3 authors.

Tobias BarilLaboratory of Evolutionary Genetics, Institute of Biology, University of Neuchâtel, Neuchâtel, Switzerland. tobias.baril@unine.ch.ORCID http://orcid.org/0000-0002-5936-7531
Guido PuccettiLaboratory of Evolutionary Genetics, Institute of Biology, University of Neuchâtel, Neuchâtel, Switzerland.
Daniel CrollLaboratory of Evolutionary Genetics, Institute of Biology, University of Neuchâtel, Neuchâtel, Switzerland. daniel.croll@unine.ch.ORCID http://orcid.org/0000-0002-2072-380X

Funding

Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (Swiss National Science Foundation) 201149
6 · The paper itself

Abstract

Transposable elements (TEs) shape host-pathogen interactions and contribute to antimicrobial resistance, but how adaptive TEs arise in populations and how historical contingencies affect TE dynamics remains unclear. Fungal crop pathogens provide unique frameworks to address such questions due to spatially explicit sampling and well-characterized niches. We characterise TE evolutionary dynamics in 1953 publicly available genomes across the global distribution range of the major wheat pathogen Zymoseptoria tritici. We characterise genomic diversity, benchmark methods to infer TE insertion polymorphism, and assess TEs as a source of adaptive variation. Across ~3.2 million annotated TE loci, we find substantial variation in TE content within and across populations. TE activity surged during the pathogen's expansion from the Middle East, with distinct activity profiles in derived populations. TE-mediated adaptation emerged from waves of TE mobilization, with the highest TE activity observed over as little as 25 years. 45 TE loci within 1 kb of 49 host genes show local adaptation signatures, likely related to adaptation to antifungals and the plant host environment. This work highlights the power of vast genomic datasets to unravel intraspecies TE invasion histories and pinpoint factors driving recent adaptation and argues for deep population-level TE surveys to uncover molecular drivers of adaptive evolution.

Indexed as

Adaptation, PhysiologicalAscomycotaDNA Transposable ElementsPlant DiseasesTriticumCrops, AgriculturalEvolution, MolecularGenetic VariationGenome, FungalHost-Pathogen InteractionsDNA Transposable Elements

Identifiers

PMID41224815
PMCPMC12612061

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Registered trials

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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.