Current Approaches for Advancement in Understanding the Molecular Mechanisms of Mycotoxin Biosynthesis

International Journal of Molecular Sciences

Giancarlo Perrone¹  Antonia Gallo² 

[1] Institute of Sciences of Food Production (ISPA) National Research Council (CNR), 70126 Bari, Italy;Institute of Sciences of Food Production (ISPA) National Research Council (CNR), 73100 Lecce, Italy;

关键词: filamentous fungi;    biosynthetic gene clusters (BGCs);    genomics;    transcriptomics;    genome editing;    omics data;   

DOI  :  10.3390/ijms22157878

来源: DOAJ

【 摘 要 】

Filamentous fungi are able to synthesise a remarkable range of secondary metabolites, which play various key roles in the interaction between fungi and the rest of the biosphere, determining their ecological fitness. Many of them can have a beneficial activity to be exploited, as well as negative impact on human and animal health, as in the case of mycotoxins contaminating large quantities of food, feed, and agricultural products worldwide and posing serious health and economic risks. The elucidation of the molecular aspects of mycotoxin biosynthesis has been greatly sped up over the past decade due to the advent of next-generation sequencing technologies, which greatly reduced the cost of genome sequencing and related omic analyses. Here, we briefly highlight the recent progress in the use and integration of omic approaches for the study of mycotoxins biosynthesis. Particular attention has been paid to genomics and transcriptomic approaches for the identification and characterisation of biosynthetic gene clusters of mycotoxins and the understanding of the regulatory pathways activated in response to physiological and environmental factors leading to their production. The latest innovations in genome-editing technology have also provided a more powerful tool for the complete explanation of regulatory and biosynthesis pathways. Finally, we address the crucial issue of the interpretation of the combined omics data on the biology of the mycotoxigenic fungi. They are rapidly expanding and require the development of resources for more efficient integration, as well as the completeness and the availability of intertwined data for the research community.

【 授权许可】

Unknown