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Genetic, Epigenetic, and Physicochemical Strategies to Improve the Pharmacological Potential of Fungal Endophytes

  • Mayur G. Naitam,
  • Viabhav Kumar Upadhyay,
  • A. K. Lavanya,
  • Aman Jaiswal,
  • Geeta Kumari,
  • M. N. Jha,
  • Himanshu Mahawar,
  • Rajeev Kaushik

摘要

Endophytic fungi are ubiquitous microorganisms that reside within healthy plant tissues without causing any apparent harm to the host. The myriad of diverse pharmacological properties makes these fungi a valuable source of bioactive compounds. Research on fungal endophytes has gained significant momentum in recent years, with an increasing focus on their potential for pharmaceuticals. The present scenario of endophytic fungi’s pharmacological potential involves identifying novel compounds, elucidating their mechanisms of action, and evaluating their efficacy and safety. Numerous studies have documented the discovery of endophytic fungi bioactive metabolites with potent immunomodulatory, antimicrobial, anticancer, and antioxidant properties. The demand for such compounds in the pharmaceutical industry is high owing to their therapeutic potential and low toxicity. Improving the yield and quality of bioactive compounds from endophytic fungi is crucial for meeting market demand. Various approaches, including genetic, epigenetic, and physicochemical methods, have been employed to enhance the production of bioactive metabolites. Genetic manipulation of fungal endophytes using techniques such as CRISPR/Cas9 and RNA interference has shown promising results in increasing the yield of biologically active compounds. Epigenetic modifications and physicochemical treatments such as elicitation and fermentation optimization have also been explored to improve bioactive metabolite production. Endophytic fungi have enormous pharmacological potential, which has substantial implications for drug research and development. The market need for such compounds can be met by increasing the production of bioactive substances from endophytic fungi utilizing a variety of methods.