Optimizing Production and Evaluating Biosynthesis in Situ of a Herbicidal Compound, Mevalocidin, from Coniolariella Sp.
- UNCG Author/Contributor (non-UNCG co-authors, if there are any, appear on document)
- Tamam M. El-Elimat (Creator)
- Mario Figueroa Saldivar, Adjunct Faculty (Creator)
- Nicholas Oberlies, Patricia A. Sullivan Distinguished Professor of Chemistry (Creator)
- Cedric J Pearce, Adjunct Professor (Creator)
- Huzefa A. Raja, Research Scientist (Creator)
- Institution
- The University of North Carolina at Greensboro (UNCG )
- Web Site: http://library.uncg.edu/
Abstract: Mevalocidin is a fungal secondary metabolite produced by Coniolariella sp. It is a unique phytotoxin that demonstrates broad spectrum post-emergent herbicidal properties. With limited options for weed control, the commercialization of a natural product pesticide would be beneficial to organic farming. In this study, two mevalocidin-producing fungal strains, coded MSX56446 and MSX92917, were explored under a variety of growth conditions, including time, temperature, and media. The concentration of mevalocidin was quantitatively measured via LC–MS to determine the optimal setting for each condition. Maximum production was achieved for each condition at 20 days, at 30 °C, with YESD + agar, and with a media containing 2.5 % dextrose. Furthermore, an advanced surface sampling technique was incorporated to gain a better understanding of the fungal culture’s natural ability to biosynthesize and distribute this herbicide into its environment. It was shown that both fungi actively exude mevalocidin into their environment via liquid droplet formations known as guttates.
Optimizing Production and Evaluating Biosynthesis in Situ of a Herbicidal Compound, Mevalocidin, from Coniolariella Sp.
PDF (Portable Document Format)
449 KB
Created on 2/7/2019
Views: 1483
Additional Information
- Publication
- Journal of Industrial Microbiology & Biotechnology, 43(8): 1149-1157.
- Language: English
- Date: 2016
- Keywords
- Fungal secondary metabolites, Herbicide, Droplet-based liquid extraction, Spatial distribution