Fusarium verticillioides: Advancements in Understanding the Toxicity, Virulence, and Niche Adaptations of a Model Mycotoxigenic Pathogen of Maize.
Alex A BlacuttScott E GoldKenneth A VossMinglu GaoAnthony E GlennPublished in: Phytopathology (2018)
The importance of understanding the biology of the mycotoxigenic fungus Fusarium verticillioides and its various microbial and plant host interactions is critical given its threat to maize, one of the world's most valuable food crops. Disease outbreaks and mycotoxin contamination of grain threaten economic returns and have grave implications for human and animal health and food security. Furthermore, F. verticillioides is a member of a genus of significant phytopathogens and, thus, data regarding its host association, biosynthesis of secondary metabolites, and other metabolic (degradative) capabilities are consequential to both basic and applied research efforts across multiple pathosystems. Notorious among its secondary metabolites are the fumonisin mycotoxins, which cause severe animal diseases and are implicated in human disease. Additionally, studies of these mycotoxins have led to new understandings of F. verticillioides plant pathogenicity and provide tools for research into cellular processes and host-pathogen interaction strategies. This review presents current knowledge regarding several significant lines of F. verticillioides research, including facets of toxin production, virulence, and novel fitness strategies exhibited by this fungus across rhizosphere and plant environments.
Keyphrases
- escherichia coli
- endothelial cells
- biofilm formation
- healthcare
- staphylococcus aureus
- pseudomonas aeruginosa
- human health
- cell wall
- microbial community
- induced pluripotent stem cells
- ms ms
- public health
- candida albicans
- risk assessment
- body composition
- pluripotent stem cells
- antimicrobial resistance
- physical activity
- mental health
- oxidative stress
- machine learning
- early onset
- plant growth
- high intensity
- artificial intelligence
- health information
- health risk
- quality improvement
- health promotion
- data analysis