Evidence map›Paper›PMID 41562243›Full record

ArticlePest management science2026

First genome sequence of a European Alternaria brassicae isolate and genes involved in early development of alternaria leaf spot on Brassica juncea.

Kevin M King, Graham McLaughlin, Chinthani S Karandeni Dewage, Zedi Gao, David J Hughes, Jonathan S West, Henrik U Stotz

Abstract read
In one paragraph

Article in Pest management science, 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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1 · What the graph read from it

What it found

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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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3 · Its place in the literature

Who cites it

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Kevin M KingRothamsted Research, West Common, Hertfordshire, UK.ORCID https://orcid.org/0000-0002-9928-1353
Graham McLaughlinSchool of Health, Medicine and Life Sciences, University of Hertfordshire, Hertfordshire, UK.
Chinthani S Karandeni DewageSchool of Health, Medicine and Life Sciences, University of Hertfordshire, Hertfordshire, UK.ORCID https://orcid.org/0000-0001-6621-8203
Zedi GaoSchool of Health, Medicine and Life Sciences, University of Hertfordshire, Hertfordshire, UK.
David J HughesRothamsted Research, West Common, Hertfordshire, UK.ORCID https://orcid.org/0000-0003-1439-5421
Jonathan S WestRothamsted Research, West Common, Hertfordshire, UK.ORCID https://orcid.org/0000-0002-5211-2405
Henrik U StotzSchool of Health, Medicine and Life Sciences, University of Hertfordshire, Hertfordshire, UK.ORCID https://orcid.org/0000-0003-2954-8566

Funding

Biotechnology and Biological Sciences Research Council
6 · The paper itself

Abstract

backgroundAlternaria brassicae is a necrotrophic fungal pathogen causing grey leaf spot disease in Brassicaceae crops, notably Brassica juncea. While previous genomic studies have focused on Indian isolates, the molecular basis of host-pathogen interactions in European isolates remains unexplored.

resultsWe report the first genome sequence of a UK A. brassicae isolate (AA1/5), assembled using PacBio and Illumina platforms, revealing a 32.6 Mb genome with 7228 predicted genes. Comparative analysis with the Indian J3 isolate suggests genomic divergence, including fewer repetitive elements and secreted proteins in AA1/5. Dual RNA-sequencing profiling of AA1/5 and two B. juncea cultivars (Sej-2 (2) and Pusa Jaikisan) identified differential expression of fungal genes involved in carbohydrate metabolism, cell wall degradation, and endocytosis. Host transcriptomics revealed suppression of photosystem genes and induction of oxidative pentose phosphate pathway genes. Cultivar-specific responses included differential regulation of defence-related genes such as PR-3, RLP35, JOX4, and CYP81F3. Quantitative reverse transcriptase-PCR validated the host transcriptomic dataset with up-regulation after fungal infection in both cultivars of two pathogenesis-related genes, PR-4 and PR-5.

conclusionThis study provides novel insights into the genomic and transcriptomic landscape of a European A. brassicae isolate and its interaction with B. juncea. The findings highlight conserved and divergent pathogenicity mechanisms and host responses, offering a foundation for future resistance breeding and functional studies in Brassicaceae crops. © 2026 The Author(s). Pest Management Science published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.

Indexed as

AlternariaGenome, FungalHost-Pathogen InteractionsMustard PlantPlant DiseasesPlant Leavescomparative genomicsdual RNA‐sequencinghost–pathogen interactionsOPPPpathogenesis‐related proteinsphotosystem suppression

Identifiers

PMID41562243
PMCPMC13665613

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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.