Searching for novel targets to control wheat head blight disease—I-Protein identification,3D modeling and virtual screening

A - Papers appearing in refereed journals

Martens, N. F., Bresso, E., Togawa, R. C., Urban, M., Antoniw, J. F., Maigret, B. and Hammond-Kosack, M. 2016. Searching for novel targets to control wheat head blight disease—I-Protein identification,3D modeling and virtual screening. Advances in Microbiology. 6 (11), pp. 811-830.

AuthorsMartens, N. F., Bresso, E., Togawa, R. C., Urban, M., Antoniw, J. F., Maigret, B. and Hammond-Kosack, M.
Abstract

Fusarium head blight (FHB) is a destructive disease of wheat and other cereals. FHB occurs in Europe, North America and around the world causing significant losses in production and endangers human and animal health. In this article, we provide the strategic steps for the specific target selection for the phytopathogen system wheat- Fusarium graminearum. The economic impact of FHB leads to the need for innovation. Currently used fungicides have been shown to be effective over the years, but recently cereal infecting Fusaria have developed resistance. Our work presents a new perspective on target selection to allow the development of new fungicides. We developed an innovative approach combining both genomic analysis and molecular modeling to increase the discovery for new chemical compounds with both safety and low environmental impact. Our protein targets selection revealed 13 candidates with high specificity, essentiality and potentially assayable with a favorable accessibility to drug activity. Among them, three proteins: trichodiene synthase, endoglucanase-5 and ERG6 were selected for deeper structural analyses to identify new putative fungicides. Overall, the bioinformatics filtering for novel protein targets applied for agricultural purposes is a response to the demand for chemical crop protection. The availability of the genome, secretome and PHI-base allowed the enrichment of the search that combined experimental data in planta. The homology modeling and molecular dynamics simulations allowed the acquisition of three robust and stable conformers. From this step, approximately ten thousand compounds have been virtually screened against three candidates. Forty-five top-ranked compounds were selected from docking results as presenting better interactions and energy at the binding pockets and no toxicity. These compounds may act as inhibitors and lead to the development of new fungicides.

KeywordsFusarium graminearum; Fungicide Development; 3D Protein Modeling; Target Selection
Year of Publication2016
JournalAdvances in Microbiology
Journal citation6 (11), pp. 811-830
Digital Object Identifier (DOI)doi:10.4236/aim.2016.611079
Open accessPublished as ‘gold’ (paid) open access
FunderBiotechnology and Biological Sciences Research Council
Funder project or codeWheat
[20:20 Wheat] Protecting yield potential of wheat
Pathogen-Host Interactions Database: PHI Database [2012-2017]
Evaluation of the susceptibility of aphids (Myzus persicae and Aphis gossypli) to a test compound through laboratory bioassays
Publisher's version
Output statusPublished
Publication dates
Online14 Sep 2016
Publication process dates
Accepted11 Sep 2016
Copyright licenseCC BY
ISSN2165-3410
PublisherScientific Research Publishing

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