Forest tree extracts induce resistance toPseudomonas syringaepv.tomatoin Arabidopsis Article Swipe
YOU?
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· 2023
· Open Access
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· DOI: https://doi.org/10.1101/2023.10.24.563420
Background The widespread use of conventional pesticides to control plant fungal and bacterial pathogens poses significant risks to human health and the environment, and there is an urgent need for safer and more sustainable alternatives in agricultural management. Studies have shown that plant extracts can be effective in controlling plant diseases either by directly targeting the pathogens or by reinforcing the host plant’s own defenses. Here, we examined the potential of ethanolic extracts from forest tree species eastern hemlock, English oak, eastern red cedar and red pine for their antibacterial activity against Pseudomonas syringae pv. tomato ( Pst ) strain DC3000 and the ability of these forestry by-products to trigger effective defense responses in the model plant Arabidopsis thaliana . Results The four tree extracts exhibited direct toxic effects against Pst DC3000, as notably observed for the English oak extract inhibiting bacterial growth and showing bactericidal activity at relatively low concentrations. Using an Arabidopsis line expressing reporter protein ß-glucuronidase under the control of a salicylic acid-inducible pathogenesis-related protein gene promoter, the extracts were shown also to induce defense-related genes expression in leaf tissue. RT-qPCR assays with DNA primers for different gene markers further confirmed this conclusion and highlighted gene-inducing effects for the tree extracts triggering, at different rates, the expression of salicylic acid- and oxidative stress-responsive genes. The extracts direct antibacterial effects, combined with their defense gene-inducing effects in planta , resulted in a strong host plant-protecting effect against Pst DC3000 associated with bacterial growth rates reduced by ∼75 to 98% seven days post-infection, depending on the extract. Conclusions These findings show the effectiveness of tree extracts as eventual plant protectants against the plant bacterial pathogen Pst . In a broader perspective, they suggest the potential of these forestry by-products as a source of bioactive compounds useful in plant protection and as a sustainable, eco-friendly alternative to conventional synthetic pesticides for the management of economically important plant pathogens.
Related Topics
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.1101/2023.10.24.563420
- https://www.biorxiv.org/content/biorxiv/early/2023/10/28/2023.10.24.563420.full.pdf
- OA Status
- green
- References
- 72
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4388163475
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4388163475Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1101/2023.10.24.563420Digital Object Identifier
- Title
-
Forest tree extracts induce resistance toPseudomonas syringaepv.tomatoin ArabidopsisWork title
- Type
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preprintOpenAlex work type
- Language
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enPrimary language
- Publication year
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2023Year of publication
- Publication date
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2023-10-28Full publication date if available
- Authors
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Veedaa Soltaniband, Adam Barrada, Maxime Delisle‐Houde, Martine Dorais, Russell J. Tweddell, Dominique MichaudList of authors in order
- Landing page
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https://doi.org/10.1101/2023.10.24.563420Publisher landing page
- PDF URL
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https://www.biorxiv.org/content/biorxiv/early/2023/10/28/2023.10.24.563420.full.pdfDirect link to full text PDF
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YesWhether a free full text is available
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greenOpen access status per OpenAlex
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https://www.biorxiv.org/content/biorxiv/early/2023/10/28/2023.10.24.563420.full.pdfDirect OA link when available
- Concepts
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Pseudomonas syringae, Salicylic acid, Arabidopsis, Biology, Arabidopsis thaliana, Plant defense against herbivory, Pathogenic bacteria, Gene, Pseudomonas, Host (biology), Bacteria, Microbiology, Botany, Genetics, MutantTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
- References (count)
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72Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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