Work

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

Year: 2024

Type: article

Abstract: High Resolution Image Download MS PowerPoint Slide 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.

Source: ACS Omega

DOI: 10.1021/acsomega.4c07971

Authors: Xiaoyu Wang, Heqian Zhang, Xuanlin Zhan, Jie Li, Jiaquan Huang, Zhiwei Qin

Institutions: Beijing Normal University, Beijing Normal University, Zhuhai, John Innes Centre, Norwich Research Park

Language: English

Topic: Plant-Microbe Interactions and Immunity

Subfield: Plant Science

Field: Agricultural and Biological Sciences

Domain: Life Sciences

SDG: Zero hunger

Open Access status: gold

Estimated APC paid: $1,935