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Dissecting the Herbicidal Mechanism of Microbial Natural Product Lydicamycins Using a Deep Learning-Based Nonlinear Regression Model. | LitMetric

Dissecting the Herbicidal Mechanism of Microbial Natural Product Lydicamycins Using a Deep Learning-Based Nonlinear Regression Model.

ACS Omega

Center for Biological Science and Technology, Advanced Institute of Natural Sciences, Beijing Normal University, Zhuhai, Guangdong 519087, China.

Published: November 2024

The plant microbiome significantly influences plant-microbe interactions, but the mechanisms are often complex and nonlinear. Here we show the nonlinear regulatory effects of G7 on 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 , on the PIN protein family's role in auxin transport. Our findings indicate that lydicamycin regulates auxin transport by inducing flavonol overaccumulation in , affecting plant development. This study identifies potential molecular targets for crop enhancement and improved agricultural productivity.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11541792PMC
http://dx.doi.org/10.1021/acsomega.4c07971DOI Listing

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