Antimicrobial activity of methanolic extracts of Vernonia cinerea against Xanthomonas oryzae and identification of their compounds using in silico techniques.

Bacterial Leaf Blight (BLB) disease is an extremely ruinous disease in rice, caused by Xanthomonas oryzae pv. oryzae (Xoo). Although various chemicals are available to manage BLB, they are toxic to the environment as well as humans. Hence there is a need to develop new pesticides as alternatives to...

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Autores principales:	Tushar Joshi, Satish Chandra Pandey, Priyanka Maiti, Manish Tripathi, Ashutosh Paliwal, Mahesha Nand, Priyanka Sharma, Mukesh Samant, Veena Pande, Subhash Chandra
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/e544e27b094f49a4aa61e70d62289512
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spelling	oai:doaj.org-article:e544e27b094f49a4aa61e70d622895122021-12-02T20:07:08ZAntimicrobial activity of methanolic extracts of Vernonia cinerea against Xanthomonas oryzae and identification of their compounds using in silico techniques.1932-620310.1371/journal.pone.0252759https://doaj.org/article/e544e27b094f49a4aa61e70d622895122021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0252759https://doaj.org/toc/1932-6203Bacterial Leaf Blight (BLB) disease is an extremely ruinous disease in rice, caused by Xanthomonas oryzae pv. oryzae (Xoo). Although various chemicals are available to manage BLB, they are toxic to the environment as well as humans. Hence there is a need to develop new pesticides as alternatives to hazardous chemicals. Therefore, a study was carried out to discover new potent natural pesticides against Xoo from different solvent extracts of Vernonia cinerea. Among all the fractions, the methanolic extract showed the highest inhibition zone. Further, to gain mechanistic insight of inhibitory action, 40 molecules of methanolic extracts were subjected for in silico study against two enzymes D-alanine-D-alanine ligase (Ddl) and Peptide deformylase (PDF). In silico study showed Rutin and Methanone, [1,4-dimethyl-7-(1- methylethyl)-2- azulenyl]phenyl have a good binding affinity with Ddl while Phenol, 2,4-bis(1-phenylethyl)- and 1,2-Benzenedicarboxylic acid, diisooctyl ester showed an excellent binding affinity to PDF. Finally, the system biology approach was applied to understand the agrochemical's effect in the cell system of bacteria against both the enzymes. Conclusively, these four-hit compounds may have strong potential against Xoo and can be used as biopesticides in the future.Tushar JoshiSatish Chandra PandeyPriyanka MaitiManish TripathiAshutosh PaliwalMahesha NandPriyanka SharmaMukesh SamantVeena PandeSubhash ChandraPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 6, p e0252759 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Tushar Joshi Satish Chandra Pandey Priyanka Maiti Manish Tripathi Ashutosh Paliwal Mahesha Nand Priyanka Sharma Mukesh Samant Veena Pande Subhash Chandra Antimicrobial activity of methanolic extracts of Vernonia cinerea against Xanthomonas oryzae and identification of their compounds using in silico techniques.
description	Bacterial Leaf Blight (BLB) disease is an extremely ruinous disease in rice, caused by Xanthomonas oryzae pv. oryzae (Xoo). Although various chemicals are available to manage BLB, they are toxic to the environment as well as humans. Hence there is a need to develop new pesticides as alternatives to hazardous chemicals. Therefore, a study was carried out to discover new potent natural pesticides against Xoo from different solvent extracts of Vernonia cinerea. Among all the fractions, the methanolic extract showed the highest inhibition zone. Further, to gain mechanistic insight of inhibitory action, 40 molecules of methanolic extracts were subjected for in silico study against two enzymes D-alanine-D-alanine ligase (Ddl) and Peptide deformylase (PDF). In silico study showed Rutin and Methanone, [1,4-dimethyl-7-(1- methylethyl)-2- azulenyl]phenyl have a good binding affinity with Ddl while Phenol, 2,4-bis(1-phenylethyl)- and 1,2-Benzenedicarboxylic acid, diisooctyl ester showed an excellent binding affinity to PDF. Finally, the system biology approach was applied to understand the agrochemical's effect in the cell system of bacteria against both the enzymes. Conclusively, these four-hit compounds may have strong potential against Xoo and can be used as biopesticides in the future.
format	article
author	Tushar Joshi Satish Chandra Pandey Priyanka Maiti Manish Tripathi Ashutosh Paliwal Mahesha Nand Priyanka Sharma Mukesh Samant Veena Pande Subhash Chandra
author_facet	Tushar Joshi Satish Chandra Pandey Priyanka Maiti Manish Tripathi Ashutosh Paliwal Mahesha Nand Priyanka Sharma Mukesh Samant Veena Pande Subhash Chandra
author_sort	Tushar Joshi
title	Antimicrobial activity of methanolic extracts of Vernonia cinerea against Xanthomonas oryzae and identification of their compounds using in silico techniques.
title_short	Antimicrobial activity of methanolic extracts of Vernonia cinerea against Xanthomonas oryzae and identification of their compounds using in silico techniques.
title_full	Antimicrobial activity of methanolic extracts of Vernonia cinerea against Xanthomonas oryzae and identification of their compounds using in silico techniques.
title_fullStr	Antimicrobial activity of methanolic extracts of Vernonia cinerea against Xanthomonas oryzae and identification of their compounds using in silico techniques.
title_full_unstemmed	Antimicrobial activity of methanolic extracts of Vernonia cinerea against Xanthomonas oryzae and identification of their compounds using in silico techniques.
title_sort	antimicrobial activity of methanolic extracts of vernonia cinerea against xanthomonas oryzae and identification of their compounds using in silico techniques.
publisher	Public Library of Science (PLoS)
publishDate	2021
url	https://doaj.org/article/e544e27b094f49a4aa61e70d62289512
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Antimicrobial activity of methanolic extracts of Vernonia cinerea against Xanthomonas oryzae and identification of their compounds using in silico techniques.

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