Evidence map›Paper›PMID 38971719›Full record

ArticleBMC plant biology2024

Network analyses predict major regulators of resistance to early blight disease complex in tomato.

Christopher S Tominello-Ramirez, Lina Muñoz Hoyos, Mhaned Oubounyt, Remco Stam

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Article in BMC plant biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

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0cells of the map it votes in
6citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Christopher S Tominello-RamirezDepartment of Phytopathology and Crop Protection, Institute for Phytopathology, Christian Albrechts University, Kiel, Germany.
Lina Muñoz HoyosPhytopathology, TUM School of Life Sciences Weihenstephan, Technical University of Munich, Freising, Germany.
Mhaned OubounytInstitute for Computational Systems Biology, University of Hamburg, Hamburg, Germany.
Remco StamDepartment of Phytopathology and Crop Protection, Institute for Phytopathology, Christian Albrechts University, Kiel, Germany. Remco.stam@phytomed.uni-kiel.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEarly blight and brown leaf spot are often cited as the most problematic pathogens of tomato in many agricultural regions. Their causal agents are Alternaria spp., a genus of Ascomycota containing numerous necrotrophic pathogens. Breeding programs have yielded quantitatively resistant commercial cultivars, but fungicide application remains necessary to mitigate the yield losses. A major hindrance to resistance breeding is the complexity of the genetic determinants of resistance and susceptibility. In the absence of sufficiently resistant germplasm, we sequenced the transcriptomes of Heinz 1706 tomatoes treated with strongly virulent and weakly virulent isolates of Alternaria spp. 3 h post infection. We expanded existing functional gene annotations in tomato and using network statistics, we analyzed the transcriptional modules associated with defense and susceptibility.

resultsThe induced responses are very distinct. The weakly virulent isolate induced a defense response of calcium-signaling, hormone responses, and transcription factors. These defense-associated processes were found in a single transcriptional module alongside secondary metabolite biosynthesis genes, and other defense responses. Co-expression and gene regulatory networks independently predicted several D clade ethylene response factors to be early regulators of the defense transcriptional module, as well as other transcription factors both known and novel in pathogen defense, including several JA-associated genes. In contrast, the strongly virulent isolate elicited a much weaker response, and a separate transcriptional module bereft of hormone signaling.

conclusionsOur findings have predicted major defense regulators and several targets for downstream functional analyses. Combined with our improved gene functional annotation, they suggest that defense is achieved through induction of Alternaria-specific immune pathways, and susceptibility is mediated by modulating hormone responses. The implication of multiple specific clade D ethylene response factors and upregulation of JA-associated genes suggests that host defense in this pathosystem involves ethylene response factors to modulate jasmonic acid signaling.

Indexed as

AlternariaDisease ResistanceGene Regulatory NetworksPlant DiseasesSolanum lycopersicumEthylenesGene Expression Regulation, PlantPlant Growth RegulatorsTranscriptomeEthylenesPlant Growth RegulatorsAlternariaBrown leaf spotCo-expression networkComparative transcriptomicsEarly blightGene regulatory networkPlant immunityTomato

Identifiers

PMID38971719
PMCPMC11227178

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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.