Ipflufenoquin, Novel Dihydroorotate Dehydrogenase Inhibitor: Efficacy Against Strawberry Diseases and Docking Simulations via AlphaFold2 and Autodock Vina
Choi, S.; Son, D.; Jang, H.-r.; Park, S.; Liu, H.; Lee, H.-g.; Sang, H.
Show abstract
In 2023, fungal diseases, including Botrytis cinerea (gray mold), were isolated from various strawberry fields in Korea. Ipflufenoquin, a novel class 2 dihydroorotate dehydrogenase (DHODH) inhibitor, was applied to plant pathogenic fungal species. EC50 values indicated that ipflufenoquin achieved high sensitivity in B. cinerea while maintaining broad-spectrum activity against other fungi. Fruit and greenhouse trials confirmed its robust efficacy in gray mold diseases, including those resistant to conventional fungicides like pyraclostrobin, fluxapyroxad, and benomyl. However, the ipflufenoquin application was less effective against fungal pathogens like blossom blight and Rhizopus rot, causing shifts in the fungal community and allowing less sensitive species to emerge. Structural prediction using Alphafold2 and molecular docking simulation showed ipflufenoquin was bound to the quinone binding tunnel in DHODH and highlighted the correlation between protein-ligand binding affinity and fungicide susceptibility, with species showing higher affinities being more sensitive. This study is the first to report sensitivity of strawberry fungal species to ipflufenoquin, and this fungicide is recommended in strawberry farms against gray mold disease. Additionally, we conducted in silico predictions of fungicide sensitivity across various plant pathogenic fungi using Alphafod2 and Autodock Vina. This establishes a foundation for future computational analyses to predict the effectiveness of fungicides, offering important baseline data to enhance fungicide management strategies.
Matching journals
The top 9 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Spray-induced gene silencing (SIGS) as a tool for the management of Pine Pitch Canker forest disease 95%
- Potato Late Blight Control with a Botanical Product and Reduced Copper Applications 95%
- Uncovering Fusarium species diversity, distribution and pathogenicity associated with cotton-corn rotation fields in recently expanded cotton-growing areas of the Northern High Plains of Texas 94%
Similar papers in this journal
- Screening of tomato seed bacterial endophytes for antifungal activity reveals lipopeptide producing Bacillus siamensis as a potential bio-control agent 94%
- Phylogenomics of plant-associated Botryosphaeriaceae species 94%
- Genomic sequencing of Phyllosticta citriasiana provide insight into its conservation and diversification with closely related Phyllosticta species associated with citrus 94%
Similar papers in this journal
- Secondary metabolites and their impact on symbiotic interactions in the ambrosia fungus Geosmithia eupagioceri 94%
- Grapevine pruning time affects natural wound colonization by wood-invading fungi 93%
- Resolving host and species boundaries for perithecia-producing nectriaceous fungi across the central Appalachian Mountains 92%
Similar papers in this journal
- Pea-Saving Partners: Bacillus and Pseudomonas combat downy mildew in pea crops 95%
- Inoculum and disease dynamics of citrus greasy spot caused by Zasmidium citri-griseum in sweet orange in Panama 95%
- Double trouble or a blessing in disguise? Co-infection of potato with the causal agents of late and early blight 94%
Similar papers in this journal
- Parallel evolution of multiple mechanisms for demethylase inhibitor fungicide resistance in the barley pathogen Pyrenophora teres f. sp. maculata 95%
- Botrytis cinerea detoxifies the sesquiterpenoid phytoalexin rishitin through multiple metabolizing pathways 95%
- Chromosome-level de novo assembly of Coprinopsis cinerea A43mut B43mut pab1-1 #326 and genetic variant identification of mutants using Nanopore MinION sequencing 92%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.