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Updated: Jun 7, 2025

Author Spotlight: Discovering New Biopesticides from Bioactive Soil Microbe-Derived Natural Products
Published on: July 26, 2024
Dissecting the Herbicidal Mechanism of Microbial Natural Product Lydicamycins Using a Deep Learning-Based Nonlinear
Xiaoyu Wang1, Heqian Zhang1, Xuanlin Zhan1
1Center for Biological Science and Technology, Advanced Institute of Natural Sciences, Beijing Normal University, Zhuhai, Guangdong 519087, China.
Abstract:
The plant microbiome significantly influences plant-microbe interactions, but the mechanisms are often complex and nonlinear. Here we show the nonlinear regulatory effects of Streptomyces ginsengnesis G7 on Arabidopsis thaliana growth. We focused on lydicamycin, a molecule from this bacterium that interferes with auxin polar transport. Using a deep learning approach with a feedforward neural network, we integrated multiomics data to elucidate the mechanism of lydicamycin on plant growth and development. We also examined the impact of flavonol metabolites, particularly isorhamnetin from A. thaliana, on the PIN protein family's role in auxin transport. Our findings indicate that lydicamycin regulates auxin transport by inducing flavonol overaccumulation in A. thaliana, affecting plant development. This study identifies potential molecular targets for crop enhancement and improved agricultural productivity.
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