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Multidisciplinary characterization of melanin pigments from the black fungus Cryomyces antarcticus.

Claudia PacelliAlessia CassaroAlessandro MaturilliAnna Maria TimperioFederica GeviBarbara CavalazziMariana StefanDaniela GhicaSilvano Onofri
Published in: Applied microbiology and biotechnology (2020)
Melanin is a natural pigment present in almost all biological groups, and is composed of indolic polymers and characterized by black-brown colorization. Furthermore, it is one of the pigments produced by extremophiles including those living in the Antarctic desert, and is mainly involved in their protection from high UV radiation, desiccation, salinity and oxidation. Previous studies have shown that melanized species have an increased capability to survive high level of radiation compared with the non-melanized counterpart. Understanding the molecular composition of fungal melanin could help to understand this peculiar capability. Here, we aimed to characterize the melanin pigment extracted from the Antarctic black fungus Cryomyces antarcticus, which is a good test model for radioprotection researches, by studying its chemical properties and spectral data. Our results demonstrated that, in spite of having a specific type of melanin as the majority of fungi, the fungus possesses the ability to produce both 1,8-dihydroxynaphthalene (DHN) and L 3-4 dihydroxyphenylalanine (L-DOPA) melanins, opening interesting scenarios for the protection role against radiation. Researches on fungal melanin have a huge application in different fields, including radioprotection, bioremediation, and biomedical applications. KEY POINTS: • Isolation and characterization by multidisciplinary approaches of fungal melanins. • Discovery that pathways for producing DOPA and DHN are both active even in its extreme habitat. • Hypothesis supporting the possibility of using melanin pigment for radioprotection.
Keyphrases
  • climate change
  • radiation induced
  • quality improvement
  • electronic health record
  • magnetic resonance
  • microbial community
  • machine learning
  • big data
  • hydrogen peroxide
  • artificial intelligence