1Department of Biochemistry and Molecular Biology, Brazil
2Department of Phytopathology, Brazil
*Corresponding author: Gabriela Piccolo Maitan-Alfenas, Department of Biochemistry and Molecular Biology, Federal University of Viçosa, Brazil
Submission: November 02, 2022;Published: December 05, 2022
ISSN: 2637-7659 Volume12 Issue 1
The industrial enzymes market is mainly segmented into carbohydrases, proteases, and lipases, being the first responsible to catalyze the depolymerization of lignocellulosic biomasses and applied to several industrial processes. Microorganisms, plant and animal tissues can be used as sources of these enzymes. However, nowadays microorganisms dominate the market as enzymes sources. The phytopathogenic fungi can secrete several carbohydrases able to degrade the host plant cell wall and important for the infection processes, which generates great appeal to produce enzymes from these fungi. Therefore, unraveling all protein arsenal secreted by a phytopathogenic fungus is interesting because these proteins may be useful for different biotechnological processes. Previous research has shown that several phytopathogenic fungi considered promising for enzymes production, such as Chrysoporthe cubensis, Ceratocystis fimbriata and Kretzschmaria zonata. In addition, computational tools have significantly contributed to these studies, allowing a better understanding of the fungal enzymatic profile and their biotechnological applications. This work shows a brief overview of the importance of understanding the enzymatic profile secreted by phytopathogenic fungi and their biotechnological applications, as well as a brief overview of computational tools applied for proteomic analysis.
Keywords:Phytopatogenic fungi; Secretome; Computational tools; Biotechnological processes
Highlights
A. Phytopathogenic fungi secrete carbohydrases of great appeal to industrial processes.
B. Secretome analysis of fungal enzymatic profiles is essential for their application.
C. Advances in fungal enzyme-based bioprocesses are possible using computational tools.