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Precision drug design against Acidovorax oryzae: leveraging bioinformatics to combat rice brown stripe disease

Bacterial brown stripe disease caused by Acidovorax oryzae is a major threat to crop yields, and the current reliance on pesticides for control is unsustainable due to environmental pollution and resistance. To address this, bacterial-based ligands have been explored as a potential treatment solutio...

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Autores principales: Khattak, Arif Ali, Qian, Jiahui, Xu, Lihui, Tomah, Ali Athafah, Ibrahim, Ezzeldin, Khan, Muhammad Zafar Irshad, Ahmed, Temoor, Hatamleh, Ashraf Atef, Al-Dosary, Munirah Abdullah, Ali, Hayssam M., Li, Bin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10598866/
https://www.ncbi.nlm.nih.gov/pubmed/37886665
http://dx.doi.org/10.3389/fcimb.2023.1225285
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author Khattak, Arif Ali
Qian, Jiahui
Xu, Lihui
Tomah, Ali Athafah
Ibrahim, Ezzeldin
Khan, Muhammad Zafar Irshad
Ahmed, Temoor
Hatamleh, Ashraf Atef
Al-Dosary, Munirah Abdullah
Ali, Hayssam M.
Li, Bin
author_facet Khattak, Arif Ali
Qian, Jiahui
Xu, Lihui
Tomah, Ali Athafah
Ibrahim, Ezzeldin
Khan, Muhammad Zafar Irshad
Ahmed, Temoor
Hatamleh, Ashraf Atef
Al-Dosary, Munirah Abdullah
Ali, Hayssam M.
Li, Bin
author_sort Khattak, Arif Ali
collection PubMed
description Bacterial brown stripe disease caused by Acidovorax oryzae is a major threat to crop yields, and the current reliance on pesticides for control is unsustainable due to environmental pollution and resistance. To address this, bacterial-based ligands have been explored as a potential treatment solution. In this study, we developed a protein–protein interaction (PPI) network for A. oryzae by utilizing shared differentially expressed genes (DEGs) and the STRING database. Using a maximal clique centrality (MCC) approach through CytoHubba and Network Analyzer, we identified hub genes within the PPI network. We then analyzed the genomic data of the top 10 proteins, and further narrowed them down to 2 proteins by utilizing betweenness, closeness, degree, and eigenvector studies. Finally, we used molecular docking to screen 100 compounds against the final two proteins (guaA and metG), and Enfumafungin was selected as a potential treatment for bacterial resistance caused by A. oryzae based on their binding affinity and interaction energy. Our approach demonstrates the potential of utilizing bioinformatics and molecular docking to identify novel drug candidates for precision treatment of bacterial brown stripe disease caused by A. oryzae, paving the way for more targeted and sustainable control strategies. The efficacy of Enfumafungin in inhibiting the growth of A. oryzae strain RS-1 was investigated through both computational and wet lab methods. The models of the protein were built using the Swiss model, and their accuracy was confirmed via a Ramachandran plot. Additionally, Enfumafungin demonstrated potent inhibitory action against the bacterial strain, with an MIC of 100 µg/mL, reducing OD(600) values by up to 91%. The effectiveness of Enfumafungin was further evidenced through agar well diffusion assays, which exhibited the highest zone of inhibition at 1.42 cm when the concentration of Enfumafungin was at 100 µg/mL. Moreover, Enfumafungin was also able to effectively reduce the biofilm of A. oryzae RS-1 in a concentration-dependent manner. The swarming motility of A. oryzae RS-1 was also found to be significantly inhibited by Enfumafungin. Further validation through TEM observation revealed that bacterial cells exposed to Enfumafungin displayed mostly red fluorescence, indicating destruction of the bacterial cell membrane.
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spelling pubmed-105988662023-10-26 Precision drug design against Acidovorax oryzae: leveraging bioinformatics to combat rice brown stripe disease Khattak, Arif Ali Qian, Jiahui Xu, Lihui Tomah, Ali Athafah Ibrahim, Ezzeldin Khan, Muhammad Zafar Irshad Ahmed, Temoor Hatamleh, Ashraf Atef Al-Dosary, Munirah Abdullah Ali, Hayssam M. Li, Bin Front Cell Infect Microbiol Cellular and Infection Microbiology Bacterial brown stripe disease caused by Acidovorax oryzae is a major threat to crop yields, and the current reliance on pesticides for control is unsustainable due to environmental pollution and resistance. To address this, bacterial-based ligands have been explored as a potential treatment solution. In this study, we developed a protein–protein interaction (PPI) network for A. oryzae by utilizing shared differentially expressed genes (DEGs) and the STRING database. Using a maximal clique centrality (MCC) approach through CytoHubba and Network Analyzer, we identified hub genes within the PPI network. We then analyzed the genomic data of the top 10 proteins, and further narrowed them down to 2 proteins by utilizing betweenness, closeness, degree, and eigenvector studies. Finally, we used molecular docking to screen 100 compounds against the final two proteins (guaA and metG), and Enfumafungin was selected as a potential treatment for bacterial resistance caused by A. oryzae based on their binding affinity and interaction energy. Our approach demonstrates the potential of utilizing bioinformatics and molecular docking to identify novel drug candidates for precision treatment of bacterial brown stripe disease caused by A. oryzae, paving the way for more targeted and sustainable control strategies. The efficacy of Enfumafungin in inhibiting the growth of A. oryzae strain RS-1 was investigated through both computational and wet lab methods. The models of the protein were built using the Swiss model, and their accuracy was confirmed via a Ramachandran plot. Additionally, Enfumafungin demonstrated potent inhibitory action against the bacterial strain, with an MIC of 100 µg/mL, reducing OD(600) values by up to 91%. The effectiveness of Enfumafungin was further evidenced through agar well diffusion assays, which exhibited the highest zone of inhibition at 1.42 cm when the concentration of Enfumafungin was at 100 µg/mL. Moreover, Enfumafungin was also able to effectively reduce the biofilm of A. oryzae RS-1 in a concentration-dependent manner. The swarming motility of A. oryzae RS-1 was also found to be significantly inhibited by Enfumafungin. Further validation through TEM observation revealed that bacterial cells exposed to Enfumafungin displayed mostly red fluorescence, indicating destruction of the bacterial cell membrane. Frontiers Media S.A. 2023-10-11 /pmc/articles/PMC10598866/ /pubmed/37886665 http://dx.doi.org/10.3389/fcimb.2023.1225285 Text en Copyright © 2023 Khattak, Qian, Xu, Tomah, Ibrahim, Khan, Ahmed, Hatamleh, Al-Dosary, Ali and Li https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Cellular and Infection Microbiology
Khattak, Arif Ali
Qian, Jiahui
Xu, Lihui
Tomah, Ali Athafah
Ibrahim, Ezzeldin
Khan, Muhammad Zafar Irshad
Ahmed, Temoor
Hatamleh, Ashraf Atef
Al-Dosary, Munirah Abdullah
Ali, Hayssam M.
Li, Bin
Precision drug design against Acidovorax oryzae: leveraging bioinformatics to combat rice brown stripe disease
title Precision drug design against Acidovorax oryzae: leveraging bioinformatics to combat rice brown stripe disease
title_full Precision drug design against Acidovorax oryzae: leveraging bioinformatics to combat rice brown stripe disease
title_fullStr Precision drug design against Acidovorax oryzae: leveraging bioinformatics to combat rice brown stripe disease
title_full_unstemmed Precision drug design against Acidovorax oryzae: leveraging bioinformatics to combat rice brown stripe disease
title_short Precision drug design against Acidovorax oryzae: leveraging bioinformatics to combat rice brown stripe disease
title_sort precision drug design against acidovorax oryzae: leveraging bioinformatics to combat rice brown stripe disease
topic Cellular and Infection Microbiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10598866/
https://www.ncbi.nlm.nih.gov/pubmed/37886665
http://dx.doi.org/10.3389/fcimb.2023.1225285
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