Metabolomic Profile of the Fungus Cryomyces antarctiucus Under Simulated Martian and Space Conditions as Support for Life-Detecion Missions on Mars

• Published in: Frontiers in Microbiology
• Main Authors: Gevi, Federica, Leo, Patrick, Cassaro, Allessia, Pacelli, Claudia, de Vera, Jean Pierre Paul, Rabbow, Elke, Timperio, Annamaria, Onofri, Silvano
• Format: Article in Journal/Newspaper
• Language: English
• Published: Frontiers Media S.A. 2022
• Subjects: Nutzerzentrum für Weltraumexperimente (MUSC); Strahlenbiologie; Antarctic; Antarc*; antarcticus
• Online Access: https://elib.dlr.de/186533/; https://doi.org/10.3389/fmicb.2022.749396

The identification of traces of life beyond Earth (e.g., Mars, icy moons) is a challenging task because terrestrial chemical-based molecules may be destroyed by the harsh conditions experienced on extraterrestrial planetary surfaces. For this reason, studying the effects on biomolecules of extremophilic microorganisms through astrobiological ground-based space simulation experiments is significant to support the interpretation of the data that will be gained and collected during the ongoing and future space exploration missions. Here, the stability of the biomolecules of the ryptoendolithic black fungus Cryomyces antarcticus, grown on two Martian regolith analogues and on Antarctic sandstone, were analysed through a metabolomic approach, after its exposure to Science Verification Tests (SVTs) performed in the frame of the European Space Agency (ESA) Biology and Mars Experiment (BIOMEX) project. These tests are building a set of ground-based experiments performed before the space exposure aboard the International Space Station (ISS). The analysis aimed to investigate the effects of different mineral mixtures on fungal colonies and the stability of the biomolecules synthetised by the fungus under simulated Martian and space conditions. The identification of a specific group of molecules showing good stability after the treatments allow the creation of a molecular database that should support the analysis of future data sets that will be collected in the ongoing and next space exploration missions.