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The CRYPTOMARS project: a multi-omic approach for studying Antarctic cryptoendolithic communities as Martian-analog life-forms

Published online by Cambridge University Press:  08 August 2025

Laura Selbmann
Affiliation:
Department of Ecological and Biological Sciences, University of Tuscia, Viterbo, Italy Mycological Section, Italian Antarctic National Museum (MNA), Genoa, Italy Department of Earth Systems Science and Environmental Technologies (CNR-ISP), CNR - Institute of Polar Sciences, Messina, Italy
Carmen Del Franco*
Affiliation:
Department of Ecological and Biological Sciences, University of Tuscia, Viterbo, Italy
Gerardo Antonio Stoppiello
Affiliation:
Department of Ecological and Biological Sciences, University of Tuscia, Viterbo, Italy
Caterina Ripa
Affiliation:
Department of Ecological and Biological Sciences, University of Tuscia, Viterbo, Italy
Ricardo Belmonte Lopes
Affiliation:
Department of Ecological and Biological Sciences, University of Tuscia, Viterbo, Italy
Claudio Donati
Affiliation:
Research and Innovation Centre, Fondazione Edmund Mach, San Michele all’Adige, Italy
Pietro Franceschi
Affiliation:
Research and Innovation Centre, Fondazione Edmund Mach, San Michele all’Adige, Italy
Mar Garcia-Aloy
Affiliation:
Research and Innovation Centre, Fondazione Edmund Mach, San Michele all’Adige, Italy
Alessia Cemmi
Affiliation:
ENEA –Nuclear Department (NUC-IRAD-GAM), Rome, Italy
Ilaria Di Sarcina
Affiliation:
ENEA –Nuclear Department (NUC-IRAD-GAM), Rome, Italy
Giulia Bazzano
Affiliation:
ENEA –Nuclear Department (NUC-TECFIS-ACP), Frascati, Rome, Italy
Concetta Ronsivalle
Affiliation:
ENEA –Nuclear Department (NUC-TECFIS-ACP), Frascati, Rome, Italy
Paolo Nenzi
Affiliation:
ENEA –Nuclear Department (NUC-TECFIS-ACP), Frascati, Rome, Italy
Daniele Murra
Affiliation:
ENEA –Nuclear Department (NUC-PLAS-FIPI), Frascati, Rome, Italy
Sarah Bollanti
Affiliation:
ENEA –Nuclear Department (NUC-PLAS-FIPI), Frascati, Rome, Italy
Maria Aurora Vincenti
Affiliation:
ENEA –Nuclear Department (NUC-TECFIS-MNF), Frascati, Rome, Italy
Massimo Piccinini
Affiliation:
ENEA –Nuclear Department (NUC-TECFIS-MNF), Frascati, Rome, Italy
Mickael Baqué
Affiliation:
Planetary Laboratories Department, German Aerospace Center (DLR), Institute of Planetary Research, Berlin, Germany
Maria Pedone
Affiliation:
ASI- Italian Space Agency, Rome, Italy
Serena Pezzilli
Affiliation:
ASI- Italian Space Agency, Rome, Italy
*
Corresponding author: Carmen Del Franco; Email: carmen.delfranco@unitus.it
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Abstract

If life ever existed on Mars, it may have developed survival strategies similar to those adopted by extremophiles living in terrestrial Martian analogs, such as the cryptoendolithic communities found in the rocky substrates of the McMurdo Dry Valleys or other ice-free areas of continental Antarctica. Nearly thirty years of research on these super-adapted organisms laid the foundation for the CRYPTOMARS project, which aims to disclose the genomic and phenotypic features allowing these microbial communities to withstand specific physico-chemical stresses that may be encountered on the Red Planet. This information will provide tools to outline, in terms of diversity and competences, a putative microbial community able to survive, adapt or even perpetuate under early or present Martian conditions. The project and the background information are here presented.

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Review Article
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Copyright
© The Author(s), 2025. Published by Cambridge University Press

Introduction

“Is there or has ever been life on Mars?” and “How can we investigate it?” are two of the most intriguing questions in modern science. From its early geological stages until now, Mars is the planet most similar to Earth and, seeing its environmental conditions, it can be considered one of the most interesting candidates to evaluate the possibility of life beyond Earth (Hansen et al., Reference Hansen, Merrison, Nørnberg, Lomstein and Finster2005). In recent years, research on this fascinating topic has focused on searching for extraterrestrial life by defining its limits on our planet (Cockell et al., Reference Cockell, Bush, Bryce, Direito, Fox-Powell, Harrison and Zorzano2016), by adopting a method grounded in our current knowledge of terrestrial life-forms (Yamagishi et al., Reference Yamagishi2019) and their different characteristics, geological settings, ecosystems and environments (Raulin-Cerceau, Reference Raulin-Cerceau2004).

The Martian environment has undergone significant changes throughout its geological history, spanning three major eras: the Noachian, the Hesperian and the Amazonian (Head et al., Reference Head, Greeley, Golombek, Hartmann, Hauber, Jaumann and Carr2001). There is evidence suggesting that during the pre-Noachian period, Mars may have closely resembled early Earth and that subsequently, by the late-Noachian, environmental conditions were likely favorable for the spread of possible life-forms. However, from the Hesperian to the Amazonian period, conditions progressively deteriorated (Wordsworth, Reference Wordsworth2016; Wordsworth et al., Reference Wordsworth, Knoll, Hurowitz, Baum, Ehlmann, Head and Steakley2021; Dong et al, Reference Dong, Lee, Ma, Lingam, Bougher, Luhmann and Jakosky2018) reducing the habitability of the planet (Cabrol, Reference Cabrol2018). Currently, the surface of Mars results to be uninhabitable for life, as we know it, primarily due to the loss of its magnetic field and atmosphere resulting in an increase of radiation caused by unfiltered exposure to Galactic Cosmic Rays (GCRs) and Solar Energetic Particles (SEPs) (Zeitlin et al., Reference Zeitlin, Boynton, Mitrofanov, Hassler, Atwell, Cleghorn and Turner2010), with varying doses depending on solar activity and latitude (Hassler et al., Reference Hassler, Zeitlin and Wimmer-Schweingruber2014). Additionally, it also results in a very tenuous atmosphere (around 6 mbar), extremely low oxygen levels and temperatures, with a variation from −128.15 °C during the polar night to 26.85 °C at the equator (Sebastián et al., Reference Sebastián, Armiens, Gómez-Elvira, Zorzano, Martinez-Frias, Esteban and Ramos2010). Although GCRs are mostly composed of X-rays, gamma rays, protons and atomic nuclei at very high energies, the total dose due to GCRs is very small compared to that from the Sun (SEP). The latter are made up of protons, heavier atomic nuclei (significant up to iron) and electrons with energies up to about 1 GeV. In the case of the Martian surface, GCRs and SEPs are responsible for a dose rate ranging from 180 to 225 μGy/day (Hassler et al., Reference Hassler, Zeitlin and Wimmer-Schweingruber2014), with the SEPs being the major contributors to the absorbed dose. However, high energetic X-rays and gamma rays are produced as secondary radiation by the ionization processes or interaction of particles and primary radiation with matter.

Among the main factors limiting life on the Red planet, are certainly extreme values of temperature and aridity. On present Mars, although temperatures vary considerably depending on the regions of the planet and the periods of the year, there is an average atmospheric temperature of −63 °C, and a surface temperature around 20 °C, with daily variations of up to about 80 °C (Martinez et al., Reference Martinez, Newman, De Vicente-Retortillo, Fischer, Rennó, Richardson and Vasavada2017). On the other hand, although there is no uniformity in the estimates of the temperatures of primordial Mars (late-Noachian/early-Hesperian period), the most recent models hypothesize a marked discontinuity in the planet’s climatic conditions, which would have seen colder and drier periods alternating with more humid and warm periods, the latter with average annual temperature values ranging from about 0 to 7 °C (Palumbo et al., Reference Palumbo, Head and Wordsworth2018; Rapin et al., Reference Rapin, Dromart, Rubin, Le Deit, Mangold, Edgar and Wiens2021; Wordsworth et al., Reference Wordsworth, Knoll, Hurowitz, Baum, Ehlmann, Head and Steakley2021). In addition to the extreme temperature values, the current Martian environment is also characterized by strong aridity. Early Mars was characterized by a strong climatic discontinuity whose conditions could have been similar to those described in the McMurdo Dry Valleys (Head and Marchant, Reference Head and Marchant2014). Such arid conditions would then have been further exacerbated in the more recent history of the planet where the relative humidity near the surface can reach, depending on the season, values above 90% and the vapor pressure does not exceed values of 1.4 × 10-5 bar (Martín-Torres et al., Reference Martín-Torres, Zorzano, Valentín-Serrano, Harri, Genzer, Kemppinen and Vaniman2015; Fischer et al., Reference Fischer, Martínez, Rennó, Tamppari and Zent2019). On the other hand, the low atmospheric pressure and the temperatures reached allow the presence of liquid water only in the form of transient brines in the superficial layers of the Martian regolith (Smith et al., Reference Smith, Claire, Catling and Zahnle2014; Jones, Reference Jones2018). Such conditions are not only not compatible with cellular processes, but can also induce oxidative stress in the microbial community (França et al., Reference França, Panek and Eleutherio2007; Gostinčar & Gunde-Cimerman, Reference Gostinčar and Gunde-Cimerman2018).

Earth’s Planetary Fields Analogs

Earth is characterized by a variety of environmental conditions and, depending on the specific physico-chemical characteristics of the various geographic locations, it is inhabited by different types of organisms (Pepper and Gentry, Reference Pepper and Gentry2015). In some terrestrial areas, environments are so extreme that they are referred to as Planetary Fields Analogs (Cassaro et al., Reference Cassaro, Pacelli, Aureli, Catanzaro, Leo and Onofri2021), including the “Martian analogues on Earth” (Cary et al., Reference Cary, McDonald, Barrett and Cowan2010). These regions are mostly uninhabitable (de Los Ríos et al., Reference de Los Ríos, Wierzchos and Ascaso2014) due to their very extreme environmental parameters, that are similar to the Martian ones and well known to be limitant for the development of life (Merino et al., Reference Merino, Aronson, Bojanova, Feyhl-Buska, Wong, Zhang and Giovannelli2019). The only exception is represented by extremophilic microbial species who display a wide range of strategies and adaptations to survive otherwise lethal stresses (Horneck, Reference Horneck2008; de Los Ríos et al., Reference de Los Ríos, Wierzchos and Ascaso2014). Among the Martian analogs on Earth there are the ice-free areas of Continental Antarctica, the widest of which are the McMurdo Dry Valleys in Victoria Land. The geological and climatic evolution of these areas are somehow comparable to that which led to the environmental conditions on Mars. Indeed, these regions are characterized by extreme parameters, such as very low temperatures, ranging from −20 °C to −50 °C in winter, fluctuations in freeze-thaw periods, prolonged dryness stages (Scalzi et al., Reference Scalzi, Selbmann, Zucconi, Rabbow, Horneck, Albertano and Onofri2012), high salt concentration, high oligotrophy and high levels of ultraviolet (UV) radiation (Onofri et al., Reference Onofri, Selbmann, de Hoog, Grube, Barreca, Ruisi and Zucconi2007). These conditions have been considered as incompatible with active life and these areas have been regarded as devoid of life until specialized microbial communities were discovered dwelling into rocks, finding a last refuge to avoid extinction in the endolithic niches (Friedmann and Ocampo-Friedmann, Reference Friedmann and Ocampo1976).

Antarctic cryptoendolithic microbial communities

The endolithic environment, the pore and spaces inside of rocks, is a ubiquitous habitat for microorganisms on the Earth and an important target of the search for life elsewhere in the Solar System (Walker and Pace, Reference Walker and Pace2007). In fact, the endolithic niche protects from direct exposure to most of the external environmental stresses, including the large spectrum of energetic radiation characterizing other planetary bodies. In the most extreme terrestrial climates, such as hot and cold deserts, endolithic microorganisms are often the main form of life hosting specialized microbial assemblages which endure the stringent conditions finding an ultimate refuge in the interstices of porous rocks (Pointing and Belnap, Reference Pointing and Belnap2012). These communities can mediate inputs and outputs of gases, regulating rock weathering and soil formation, biomineralization and hydrological and nutrient cycles keeping biologically active otherwise sterile lands.

Endolithic microbial assemblages are the main, and often the sole, form of life colonizing the ice-free areas of Continental Antarctica where they represent the main standing biomass in the McMurdo Dry Valleys, occupying approximately 4% of sandstone boulders (Pointing et al., Reference Pointing, Chan, Lacap, Lau, Jurgens and Farrell2009), up to 30% of granite boulders (Yung et al., Reference Yung, Chan, Lacap, Pérez-Ortega, de Los Rios-Murillo, Lee and Pointing2014), and 100% of sandstone cliffs (Friedmann, Reference Friedmann1982). The most widespread among endolithic adaptations is known as cryptoendolithism (microbial life dwelling within pores of sedimentary rocks) (Friedmann and Ocampo, Reference Friedmann and Ocampo1976; Nienow, Reference Nienow1993; de la Torre et al., Reference de la Torre, Goebel, Friedmann and Pace2003). Cryptoendoliths survive by exploiting a unique niche that offers thermal buffering, physical stability, protection from severe UV, solar radiation and, additionally, ensures water retention (Wollenzien et al., Reference Wollenzien, De Hoog, Krumbein and Urzi1995; Wierzchos et al., Reference Wierzchos, Ríos and Ascaso2012, Reference Wierzchos, Casero, Artieda and Ascaso2018, Reference Wierzchos, Ascaso, Artieda and Casero2020). Among them, the lichen-dominated cryptoendolithic communities are the most complex (Friedmann et al., Reference Friedmann1982) characterized by a very slow growth, with an estimated turnover of 10.000 years (Friedmann et al., Reference Friedmann1986, Reference Friedmann, Kappen, Meyer and Nienow1993); they are very widespread in Antarctic sandstone (Friedmann et al., Reference Friedmann1982) and one of the most resistant life-forms on Earth (Scalzi et al., Reference Scalzi, Selbmann, Zucconi, Rabbow, Horneck, Albertano and Onofri2012).

Antarctic cryptoendolithic lichen-dominated communities show a high diversity in terms of abundance of both eukaryotic and prokaryotic species, which in most cases only colonize these peculiar habitats on Earth (Coleine et al., Reference Coleine, Stajich, Zucconi, Onofri, Pombubpa, Egidi and Selbmann2018) (Figure 1A). Regarding the eukaryotic component, they are mainly composed by non-lichenized black fungi, lichenized fungi and algae; instead, the prokaryotic counterpart is mostly represented by cyanobacteria and heterotrophic bacteria (de Los Ríos et al., Reference de Los Ríos, Wierzchos and Ascaso2014). These assemblages show a tiny organization with a typical stratification in different colored and biologically distinct bands, developing within the first centimeter below the rocky surface; different microbial compartments are driven at specific depth and segregated from the others, like a chromatographic separation driven by specific physiological needs and requirements.

Figure 1. (A) Sandstone cliffs at Linnaeus Terrace, McMurdo Dry Valleys, Antarctica; (B) biological weathering: patchwork colored surface of sandstone due to rock exfoliation as consequence of endolithic microbial activity; (C, D) typical stratification of cryptoendolithic lichen-dominated communities at different magnification. Scale bar (C) = 1 cm; scale bar (D) = 0.5 cm.

The survival capability in such extreme conditions of the cryptoendolithic communities is due to important adaptations strategies they adopted like, for example, the development of a melanized cell-wall system improved by the microcolonial black fungi (MCF) constituting the first layer of these assemblages. MCF act as a screen against the harmful intense solar radiation which can damage the photosystems of chlorophycean algae and cyanobacteria displayed in the lower green and sometime blue/green bands, acting as primary producers sustaining the whole community, while lichenized fungi and algae sit in the white band in the middle (Friedmann, Reference Friedmann1982) (Figure 1B, C, D).

Hypothesizing that on Mars, during the late-Noachian, there were life-permissive environmental conditions (McKay, Reference McKay2010; Westall et al., Reference Westall, Loizeau, Foucher, Bost, Betrand, Vago and Kminek2013; Cockell, Reference Cockell2014), putative microorganisms living there may have adopted survival strategies similar to the ones engaged by these terrestrial extremophiles before their extinction or, theoretically, they could still endure Martian conditions in protected niches of the Red Planet. Moreover, terrestrial contamination cannot be excluded caused by human activities through contaminated spacecrafts on the ground (Baqué et al., Reference Baqué, Verseux, Böttger, Rabbow, de Vera and Billi2016) and rovers inadequately sterilized, or even through accidental impact of orbiters (Mancinelli and Klovstad, Reference Mancinelli and Klovstad2000).

New advances on Antarctic cryptoendolithic communities

The study of Antarctic cryptoendolithic microbial communities spans over three decades and has taken advantage of progressive advances in scientific approaches and available techniques which have improved impressively over this timeframe, especially for what concerns molecular approaches.

The geographic and genetic isolation over a timescale of evolutionary significance, coupled with the exacerbated environmental pressure, promoted speciation of highly adapted guilds; to date, phylogenetic studies led to the description of 8 and 18 fungal genera and species, respectively (Selbmann et al., Reference Selbmann, De Hoog, Mazzaglia, Friedmann and Onofri2005, Reference Selbmann, De Hoog, Zucconi, Isola, Ruisi, Van Den Ende and Onofri2008; Egidi et al., Reference Egidi, de Hoog, Isola, Onofri, Quaedvlieg, De Vries and Selbmann2014; Muggia et al., Reference Muggia, Coleine, De Carolis, Cometto and Selbmann2021; Turchetti et al., Reference Turchetti, Selbmann, Blanchette, Di Mauro, Marchegiani, Zucconi and Buzzini2015, Reference Turchetti, Selbmann, Gunde-Cimerman, Buzzini, Sampaio and Zalar2018). Metabarcoding analyses confirmed that fungi are abundant guilds in these communities being composed mainly by Lecanoromycetes, Dothideomycetes and Eurotiomycetes (Coleine et al., Reference Coleine, Stajich, Zucconi, Onofri, Pombubpa, Egidi and Selbmann2018); for bacteria the phyla Actinobacteria and alpha-Proteobacteria largely prevail (de la Torre et al., Reference de la Torre, Goebel, Friedmann and Pace2003; Coleine et al., Reference Coleine, Stajich, Pombubpa, Zucconi, Onofri, Canini and Selbmann2019).

The rock substrate has a significant role on the endolithic inhabitants: sandstone appears as the most protective substratum, allowing the communities to push toward higher altitudes and longer sea distances (Selbmann et al., Reference Selbmann, Onofri, Coleine, Buzzini, Canini and Zucconi2017), while granites maintain higher biodiversity, particularly for the bacterial component and higher presence of cyanobacteria (Larsen et al., Reference Larsen, Coleine, Albanese, Stegen, Selbmann and Donati2024; Stoppiello et al., Reference Stoppiello, Muggia, De Carolis, Coleine and Selbmann2025).

Recent metagenomic and phylogenomic studies revealed the presence of a myriad of new prokaryotic species, exceeding 2,600 new candidates, some of which with very ancient roots dating back to the Precambrian period (Albanese et al., Reference Albanese, Coleine, Rota-Stabelli, Onofri, Tringe, Stajich and and Donati2021; Coleine et al., Reference Coleine, Albanese, Ray, Delgado-Baquerizo, Stajich, Williams and Selbmann2024). Others belong to new candidate bacterial classes and show peculiar alternative metabolic capabilities that appear fundamental for the fitness of a microbial community adapted at the edge of water stress tolerability in one of the driest and coldest environments on Earth (Williams et al., Reference Williams, Allen, Ray, Benaud, Chelliah, Albanese and Ferrari2024). These metabolisms include the capacity for trace gas oxidation using high-affinity uptake hydrogenases, which could provide energy and metabolic water required for survival and persistence (Ji et al., Reference Ji, Greening, Vanwonterghem, Carere, Bay, Steen and Ferrari2017). Furthermore, some Metagenome Assembled Genomes encode the capacity to couple the energy generated from H2 and CO oxidation to support carbon fixation (atmospheric chemosynthesis); differently from photosynthesis, this autotrophic metabolism does not require water, an issue of utmost importance for the success of organisms living under constant and very strong water stress. Moreover, it is becoming evident that a conspicuous presence of a largely undescribed, highly diverse and spatially structured virome, of which the final viral catalog was constituted of 14,796 viral sequences mainly associated with the endolithic bacteria and 15.2% of vOTUs only, may represent eukaryotic viruses. The predicted Auxiliary Metabolic Genes of these phages are enriched with functions indicating that they may potentially influence bacterial adaptation and biogeochemistry, playing a possible key role in the fitness of the whole community (Ettinger et al., Reference Ettinger, Saunders, Selbmann, Delgado-Baquerizo, Donati, Albanese and Coleine2023). Recent metabolomic studies on cryptoendolithic communities reanimated using appropriate wetting, light and temperature, indicate that several metabolic pathways are significantly differently up- or down-regulated in opposite sun-exposed communities suggesting a critical role in the adaptation to contrast intensities of environmental pressure (Fanelli et al., Reference Fanelli, Coleine, Gevi, Onofri, Selbmann and Timperio2021). These results supplied the first insight about the process through which Antarctic endolithic communities respond to stresses, maintaining biological activities under the harshest conditions accounted for as a Martian analog on Earth and that are typically incompatible with active life. Finally, these communities, and the microorganisms isolated from them, are incredibly resistant and capable of surviving, if dehydrated, both in space, exposed outside the International Space Station, and in simulated Martian conditions over a period of 18 months (Onofri et al., Reference Onofri, de la Torre, de Vera, Ott, Zucconi, Selbmann and Horneck2012, Reference Onofri, de Vera, Zucconi, Selbmann, Scalzi, Venkateswaran and Horneck2015; Selbmann et al., Reference Selbmann, Zucconi, Isola and Onofri2015).

Altogether these recent advances are giving unprecedented insights on these unique microcosms about “who is there, what are they doing, and what they are potentially able to do” and supplying tools for unraveling the evolution and adaptability of these communities, representing a very new wave of research with intriguing implications of astrobiological relevance, and have been of inspiration for the foundation of the CRYPTOMARS Project.

The CRYPTOMARS project

CRYPTOMARS is a multi-disciplinary and interdisciplinary project aiming to unravel, applying a multi-omic approach, the metabolic responses and mechanisms of resistance of these communities after prolonged exposure to selected stresses characterizing the environment of early and present-day Mars. By integrating genomic, metabolomic and lipidomic data, the project aims to clarify how these communities have adapted to live, spread and even survive in Mars-like conditions on Earth. Data integration will unravel their structures, responses and adaptability at a level of accuracy and depth that would not have even been conceivable until very recently.

The Mycological Section of the National Museum of Antarctica (MNA), housed at the Department of Ecological and Biological Sciences (DEB) of the University of Tuscia, hosts the largest repository of rocks collected in the Antarctic desert, colonized by cryptoendolithic communities. This unique collection was built over a period of about 30 years in the frame of Antarctic expeditions funded by the Italian National Program for Research in Antarctica (PNRA). The sampling campaigns were carried out mainly in Northern and Southern Victoria Land, and covered a latitudinal gradient of 72°–77° South, an altitudinal gradient from 0 to 3,200 m above sea level, from 0 to 100 km distance from the coast and at different solar exposures (north-south), allowing to select communities, exposed and adapted to increasingly prohibitive environmental conditions up to the limit of extinction. The huge number of samples, and the related sequencing data, constitute together the KNOW HOW/HERITAGE of which this project takes advantage, allowing its notable valorization with the new experiments and analyses that will lead to a new vision and interpretation.

The innovation and originality of the project idea lies in unraveling the response to environmental challenges of microbial communities as a whole, rather than focusing on individual extremophiles, using cutting-edge experimental techniques, highlighting the adaptations coming out from emergent properties and synergies of microbial interactions. The multi-disciplinary nature of the project will provide, for the first time, a comprehensive characterization of the mechanisms and characteristics that allow microbial communities to adapt and survive in conditions similar to those that are found on Mars. Antarctic endolithic communities are perfectly suited to the proposed study: they are very stable due to the hard nature of rocks compared to soils and soil biological crusts; they display a physiologically very slow growth rate, with a calculated turnover of 10,000 years, due to the permanent sub-optimal conditions of their natural environment; their structure and functionality are tightly tailored and adapted to the features of the conditions in the locations where they have been collected, chosen along a scale of increasing environmental pressures, giving the picture of the optimal adaptation to specific environmental conditions acquired over an evolutionary timescale.

CRYPTOMARS work plan

Colonized rock samples from 5 selected ice-free sites of Victoria Land, Antarctica, and distributed at increasing environmental pressure over an altitudinal range from 834 to 3100 m asl were selected for the experiments (Figure 2).

Figure 2. Sampling map. (A) Map of Victoria Land (from Google Earth) indicating sampling locations selected for CRYPTOMARS. Landscapes of the sampling areas: (B) Timber Peak; (C) Mt New Zealand; (D) Pudding Butte; (E) Battleship Promontory; (F) Linnaeus Terrace.

Before the exposure to selected stresses, the rocks will be reactivated by rehydration and kept at optimal growth temperature (Selbmann et al., Reference Selbmann, De Hoog, Mazzaglia, Friedmann and Onofri2005, Reference Selbmann, De Hoog, Zucconi, Isola, Ruisi, Van Den Ende and Onofri2008) in an incubator equipped with a white light lamp (Fanelli et al., Reference Fanelli, Coleine, Gevi, Onofri, Selbmann and Timperio2021). Viability after metabolic reactivation will be tested before proceeding with the subsequent experiments (Pacelli et al., Reference Pacelli, Bryan, Onofri, Selbmann, Shuryak and Dadachova2017).

In the frame of CRYPTOMARS, Antarctic cryptoendolithic communities will be exposed to environmental factors characterizing two specific intervals of Martian geological history related to the late-Noachian/early-Hesperian period and to present-day Mars (Amazonian period). This will allow to understand how putative Martian life-forms may have been able to adapt and respond to the Martian environment i) when the environmental conditions of the planet began to become more discontinuous and hostile (late-Noachian/early-Hesperian), similarly to what happened in the geological history of Antarctica; ii) when the conditions on the surface of Mars became extremely inhospitable for life (Amazonian). To achieve our goal, a number of climatic and radiative stresses have been considered and detailed as follows.

To experimentally simulate the Martian environment irradiation for what concerns gamma radiation, the Calliope Facility (ENEA Research Centre, Casaccia Rome, Figure 3), which also allows simulating the gamma component associated with the presence of neutrons as primary radiation, will be used. The irradiation experiments will also be implemented with protons, which represent about 90% of the GCRs hitting the Martian surface (Simpson, Reference Simpson1983), using the TOP-IMPLART facility (ENEA Research Centre, Frascati, Rome, Figure 4). The characteristics of these facilities make it possible to modulate specific parameters (absorbed dose, dose rate). During the exposure, 1.8 cm discs of colonized Antarctic sandstone will be maintained at a temperature of 15 °C and a humidity of 65% to keep an active metabolism of the microbial communities during the experiment. At the end of the exposure, the samples will be immediately frozen in liquid nitrogen to have an unaltered picture of the metabolic responses during exposure to stress until downstream analyses.

Figure 3. Calliope facility.

Figure 4. TOP-IMPLART Accelerator.

For what concerns the spectrum of non-ionizing electromagnetic radiation (visible and UV light) on early and current Mars, as well as in the natural environment in which the communities live, it will be experimentally simulated using a UV lamp (250–400 nm) with a maximum intensity of 618 W/m2 (61,8 mW/cm2). The maximum UV irradiance values estimated for the three conditions (Cockell, Reference Cockell2000; Patel et al., Reference Patel, Zarnecki and Catling2002) have been considered: chronic dose of 25 W/m2, which corresponds to a maximum exposure value in primordial Martian conditions; chronic dose of 55 W/m2, which corresponds to a maximum exposure value in current Martian conditions; chronic dose of 2.30 W/m2, which corresponds to a maximum exposure value in natural conditions in Antarctica (from NASA Earth Observations [NEO]).

The ability of communities to cope with periods of extremely cold temperatures or low water availability could require the activation of ad hoc metabolic functions, the understanding of which is of primary importance in the study of possible life-forms on Mars. To study the effects and responses of the climatic parameters previously mentioned, we set –70 °C/+10 °C as thermal fluctuations to allow the rocks to reach temperatures like those observed on Mars at present. For early Mars, conditions of thermal fluctuations were set as −5 °C/+15 °C and, for simulating Antarctic natural conditions, we referred to what was reported as the average thermal fluctuations in the month of December which is the mildest (−18°C/+6°C) (Friedmann et al., Reference Friedmann, McKay and Nienow1987). Water stress (in terms of dehydration and rehydration cycles characterizing both early and present Mars conditions), will also be tested. UV exposure and climatic tests will be implemented in the Climatic Chamber (ENEA Research Centre, Casaccia Rome, ACS Angelantoni DM-340-C) (Figure 5).

Figure 5. Climatic Chamber.

Selected testing conditions and number of samples to be treated are displayed in Table 1 and include: (i) exposure to simulated natural Antarctic conditions; (ii) the spectrum of electromagnetic radiation (visible and UV light) present in early and current Martian environments; (iii) part of the spectrum of ionizing radiation that characterizes the Martian radioactive environment, represented by gamma rays and accelerated protons, which represent 90% of the cosmic rays (Galactic Cosmic Rays [GCR] and Solar Energetic Particles [SEP]) that strike the Martian surface; (iv) the temperature variation during the Martian day (sol); (v) water stress (dehydration and rehydration cycles); (vi) the effect of concomitant exposure to the atmosphere, temperature and spectrum of electromagnetic radiation (visible and UV light) of early Mars and present-day Mars in Mars simulation chambers (Figure 6).

Table 1. Selected stress conditions and replicates of treated colonized rocks

EM: Early Mars; PM: Present Mars; A: Antarctica; D: Dosimetry.

Figure 6. Mars simulation facility in PASLAB at Berlin DLR (Lorenz et al., Reference Lorenz, Bianchi, Poggiali, Alemanno, Benesperi, Brucato and Baqué2023).

Viability pre- and after-treatments will be tested with culturomic, colorimetric and molecular approaches that will be implemented as part of the experimental work plan of the project (Del Franco et al., 2025, this issue).

A metagenomic study will display the genetic and functional characteristics of the analyzed communities, and how they vary according to the environment in which they have been collected to display their diversity, the functional genes and the potential metabolic pathways, tailored to the environmental pressure in which they are found and potentially involved in the stress response. Additionally, alternative metabolic pathways (i.e. atmospheric chemosynthesis, far-red photosynthesis) will also be identified and related to specific skills that can promote the ability to live and perpetuate in these terrestrial and possible extraterrestrial limit environments helping to define the possible genetic and predictive functional properties of hypothetical Martian microbial communities. These first data will also provide the necessary information for the scheduled metabolomic and lipidomic analyses.

The complete characterization of the metabolome of cryptoendolithic communities, both in optimal and stressed conditions, represents an essential contribution for understanding the genetic and molecular bases of their adaptability. Indeed, it is reasonable to hypothesize that the study of its composition represents an ideal proxy to evaluate and compare the mechanisms of response/resilience/adaptation of each community, allowing, at the same time, the identification of sets of metabolites that may be integrated into metabolic functions or associated with specific metabolic pathways that could constitute the basis for the survival of potential communities in extraterrestrial environments. For these reasons, the activities focus on the direct measurement of the metabolic/lipid profile of microbial communities by applying untargeted metabolomics and lipidomics techniques. These analyses will be performed using high-resolution mass spectrometry techniques coupled to liquid chromatography: (U) High-Performance Liquid Chromatography coupled with High-Resolution Mass Spectrometry [HPLC-HRMS] is one of the best choices for untargeted analysis techniques, given the versatility in metabolite coverage and the sensitivity of these instruments (Letertre, 2021), by detecting and profiling hundreds to thousands of metabolites with different chemical properties in a biological sample. All the experimental procedures for the metabolomic and lipidomic analyses will be implemented and optimized as part of the experimental work plan of the project, adapting the methods previously developed at the Metabolomics Research Unit of the Fondazione E. Mach (Garcia-Aloy et al., Reference Garcia-Aloy, Ulaszewska, Franceschi, Estruel-Amades, Weinert, Tor-Roca, Urpi-Sarda, Mattivi and Andres-Lacueva2020, Reference Garcia-Aloy, Masuero, Chitarrini, Škrab, Sivilotti, Guella, Vrhovsek and Franceschi2023).

The effect of each stress applied to the communities will be studied individually first and then by integrating all the responses together with other applied stresses and with the vitality and diversity data, in order to define in detail what the possible genetic and functional properties of hypothetical Martian microbial communities are.

An integrated approach, based on multivariate analysis and machine learning models, will be implemented to combine the relative abundance of genes and metabolic pathways predicted with metabolomic/lipidomic data and vitality tests to outline specific characteristics of communities that exhibit different responses to the applied stresses. Finally, the results obtained will allow the construction of ecological models predictive of the habitability of extraterrestrial environments, such as those of early and present-day Mars.

Expected results

The integrated application of -omic approaches and advanced bioinformatics strategies will enable the identification of metabolites, potentially linked to specific pathways, that allow a community to remain active, both in the limiting conditions of their natural environment and under selected Martian stresses to which they will be exposed, and to identify the genetic bases of such responses and adaptations. This information will also deepen our level of knowledge of the evolutionary mechanisms that have led to the establishment of microbial communities capable of being successful in Mars-like terrestrial environments. All together these results will provide new awareness of the genetic and functional characteristics that determine the “resilience” and “resistance” of cryptoendolithic communities, both at the level of single organisms and of the whole community and to outline the feature of a putative microbial community, in terms of diversity and competences, theoretically able to have colonized Mars or Mars-like bodies.

Acknowledgments

The authors wish to thank the Italian Space Agency (ASI) for coordination and financial support of the CRYPTOMARS project, under the contract n. 2023-12-U.0. The Italian National Program for Antarctic Research (PNRA) is kindly acknowledged for funding sampling campaigns and research activities in Italy in the frame of PNRA projects. The Italian Antarctic National Museum (MNA) is rewarded for financial support to the Mycological Section of the MNA and for providing rock samples used in this study and stored at the University of Tuscia, DEB, Italy.

References

Albanese, D, Coleine, C, Rota-Stabelli, O, Onofri, S, Tringe, SG, Stajich, JE, Selbmann L and Donati, C (2021) Pre-Cambrian roots of novel Antarctic cryptoendolithic bacterial lineages. Microbiome 9(1), 63.10.1186/s40168-021-01021-0CrossRefGoogle ScholarPubMed
Baqué, M, Verseux, C, Böttger, U, Rabbow, E, de Vera, JPP and Billi, D (2016) Preservation of biomarkers from cyanobacteria mixed with Marslike regolith under simulated Martian atmosphere and UV flux. Origins of Life and Evolution of Biospheres 46, 289310.10.1007/s11084-015-9467-9CrossRefGoogle ScholarPubMed
Cabrol, NA (2018) The coevolution of life and environment on Mars: an ecosystem perspective on the robotic exploration of biosignatures.10.1089/ast.2017.1756CrossRefGoogle Scholar
Cary, SC, McDonald, IR, Barrett, JE and Cowan, DA (2010) On the rocks: the microbiology of Antarctic Dry Valley soils. Nature Reviews Microbiology 8(2), 129138.10.1038/nrmicro2281CrossRefGoogle ScholarPubMed
Cassaro, A, Pacelli, C, Aureli, L, Catanzaro, I, Leo, P and Onofri, S (2021) Antarctica as a reservoir of planetary analogue environments. Extremophiles, 122.Google ScholarPubMed
Cockell, CS (2000) The ultraviolet history of the terrestrial planets—implications for biological evolution. Planetary and Space Science 48(2-3), 203214.10.1016/S0032-0633(99)00087-2CrossRefGoogle Scholar
Cockell, CS (2014) 11. The subsurface habitability of terrestrial rocky planets: Mars. In Microbial Life of the Deep Biosphere, pp. 225260.10.1515/9783110300130.225CrossRefGoogle Scholar
Cockell, CS, Bush, T, Bryce, C, Direito, S, Fox-Powell, M, Harrison, JP, Lammer H, Landenmark H, Martin-Torres J, Nicholson N, Noack L, O'Malley-James J, Payler SJ, Rushby A, Samuels T, Schwendner P, Wadsworth J and Zorzano, MP (2016) Habitability: a review. Astrobiology 16(1), 89117.10.1089/ast.2015.1295CrossRefGoogle ScholarPubMed
Coleine, C, Albanese, D, Ray, AE, Delgado-Baquerizo, M, Stajich, JE, Williams, TJ, Larsen S, Tringe S, Pennacchio C, Ferrari BC, Donati C and Selbmann, L (2024) Metagenomics untangles potential adaptations of Antarctic endolithic bacteria at the fringe of habitability. Science of the Total Environment 917, 170290.10.1016/j.scitotenv.2024.170290CrossRefGoogle ScholarPubMed
Coleine, C, Stajich, JE, Pombubpa, N, Zucconi, L, Onofri, S, Canini, F and Selbmann, L (2019) Altitude and fungal diversity influence the structure of Antarctic cryptoendolithic Bacteria communities. Environmental Microbiology Reports 11(5), 718726.10.1111/1758-2229.12788CrossRefGoogle ScholarPubMed
Coleine, C, Stajich, JE, Zucconi, L, Onofri, S, Pombubpa, N, Egidi, E, Franks A, Buzzini P and Selbmann, L (2018) Antarctic cryptoendolithic fungal communities are highly adapted and dominated by Lecanoromycetes and Dothideomycetes. Frontiers in Microbiology 9, 1392.10.3389/fmicb.2018.01392CrossRefGoogle ScholarPubMed
de la Torre, JR, Goebel, BM, Friedmann, EI and Pace, NR (2003) Microbial diversity of cryptoendolithic communities from the McMurdo Dry Valleys, Antarctica. Applied and Environmental Microbiology 69(7), 38583867.10.1128/AEM.69.7.3858-3867.2003CrossRefGoogle ScholarPubMed
de Los Ríos, A, Wierzchos, J and Ascaso, C (2014) The lithic microbial ecosystems of Antarctica’s McMurdo Dry Valleys. Antarctic Science 26(5), 459477.10.1017/S0954102014000194CrossRefGoogle Scholar
Dong, C, Lee, Y, Ma, Y, Lingam, M, Bougher, S, Luhmann, J, Curry S, Toth G, Nagy A, Tenishev V, Fang X, Mitchell D, Brain D and Jakosky, B (2018) Modeling Martian atmospheric losses over time: implications for exoplanetary climate evolution and habitability. The Astrophysical Journal Letters 859(1), L14.10.3847/2041-8213/aac489CrossRefGoogle Scholar
Egidi, E, de Hoog, GS, Isola, D, Onofri, S, Quaedvlieg, W, De Vries, M, Verkley GJM, Stielow JB, Zucconi L and Selbmann, L (2014) Phylogeny and taxonomy of meristematic rock-inhabiting black fungi in the Dothideomycetes based on multi-locus phylogenies. Fungal Diversity 65, 127165.10.1007/s13225-013-0277-yCrossRefGoogle Scholar
Ettinger, CL, Saunders, M, Selbmann, L, Delgado-Baquerizo, M, Donati, C, Albanese, D, Roux S, Tringe S, Pennacchio C, del Rio TG, Stajich JE and Coleine, C (2023) Highly diverse and unknown viruses may enhance Antarctic endoliths’ adaptability. Microbiome 11(1), 103.10.1186/s40168-023-01554-6CrossRefGoogle ScholarPubMed
Fanelli, G, Coleine, C, Gevi, F, Onofri, S, Selbmann, L and Timperio, AM (2021) Metabolomics of dry versus reanimated antarctic lichen-dominated endolithic communities. Life 11(2), 96.10.3390/life11020096CrossRefGoogle ScholarPubMed
Fischer, E, Martínez, GM, Rennó, NO, Tamppari, LK and Zent, AP (2019) Relative humidity on Mars: new results from the Phoenix TECP sensor. Journal of Geophysical Research: Planets 124(11), 27802792.10.1029/2019JE006080CrossRefGoogle ScholarPubMed
França, MB, Panek, AD and Eleutherio, ECA (2007) Oxidative stress and its effects during dehydration. Comparative Biochemistry and Physiology Part A: Molecular & Integrative Physiology 146(4), 621631.10.1016/j.cbpa.2006.02.030CrossRefGoogle ScholarPubMed
Friedmann, EI (1982) Endolithic microorganisms in the Antarctic cold desert. Science 215(4536), 10451053.10.1126/science.215.4536.1045CrossRefGoogle ScholarPubMed
Friedmann, EI (1986) The Antarctic cold desert and the search for traces of life on Mars. Advances in Space Research 6(12), 265268.10.1016/0273-1177(86)90095-5CrossRefGoogle ScholarPubMed
Friedmann, EI and Ocampo, R (1976) Endolithic blue-green algae in the dry valleys: primary producers in the Antarctic desert ecosystem. Science 193(4259), 12471249.10.1126/science.193.4259.1247CrossRefGoogle ScholarPubMed
Friedmann, EI, Kappen, L, Meyer, MA and Nienow, JA (1993) Long-term productivity in the cryptoendolithic microbial community of the Ross Desert, Antarctica. Microbial Ecology 25, 5169.10.1007/BF00182129CrossRefGoogle ScholarPubMed
Friedmann, EI, McKay, CP and Nienow, JA (1987) The cryptoendolithic microbial environment in the Ross Desert of Antarctica: satellite-transmitted continuous nanoclimate data, 1984 to 1986. Polar Biology 7, 273287.10.1007/BF00443945CrossRefGoogle ScholarPubMed
Garcia-Aloy, M, Masuero, D, Chitarrini, G, Škrab, D, Sivilotti, P, Guella, G, Vrhovsek, U and Franceschi, P (2023) Untargeted lipidomic profiling of grapes highlights the importance of modified lipid species beyond the traditional compound classes. Food Chemistry 410, 135360.10.1016/j.foodchem.2022.135360CrossRefGoogle ScholarPubMed
Garcia-Aloy, M, Ulaszewska, M, Franceschi, P, Estruel-Amades, S, Weinert, C.H, Tor-Roca, A, Urpi-Sarda, M, Mattivi, F and Andres-Lacueva, C (2020) Discovery of intake biomarkers of lentils, chickpeas, and white beans by untargeted LC-MS metabolomics in serum and urine. Molecular Nutrition & Food Research 64(13), e1901137.10.1002/mnfr.201901137CrossRefGoogle ScholarPubMed
Gostinčar, C and Gunde-Cimerman, N (2018) Overview of oxidative stress response genes in selected halophilic fungi. Genes 9(3), 143.10.3390/genes9030143CrossRefGoogle ScholarPubMed
Hansen, AA, Merrison, J, Nørnberg, P, Lomstein, BA and Finster, K (2005) Activity and stability of a complex bacterial soil community under simulated Martian conditions. International Journal of Astrobiology 4(2), 135144.10.1017/S1473550405002557CrossRefGoogle Scholar
Hassler, DM, Zeitlin, C, Wimmer-Schweingruber, RF, … (2014) Mars’ surface radiation environment measured with the Mars Science Laboratory’s Curiosity rover. Science 343(6169), 1244797.10.1126/science.1244797CrossRefGoogle ScholarPubMed
Head, JW, Greeley, R, Golombek, MP, Hartmann, WK, Hauber, E, Jaumann, R, Masson P, Neukum G, Nyquist LE and Carr, MH (2001) Geological processes and evolution. Space Science Reviews 96, 263292.10.1023/A:1011953424736CrossRefGoogle Scholar
Head, JW and Marchant, DR (2014) The climate history of early Mars: insights from the Antarctic McMurdo Dry Valleys hydrologic system. Antarctic Science 26(6), 774800.10.1017/S0954102014000686CrossRefGoogle Scholar
Horneck, G (2008). The microbial case for Mars and its implication for human expeditions to Mars. Acta Astronautica 63(7-10), 10151024.10.1016/j.actaastro.2007.12.002CrossRefGoogle Scholar
Ji, M, Greening, C, Vanwonterghem, I, Carere, CR, Bay, SK, Steen, JA, Montgomery K, Lines T, Beardall J, van Dorst J, Snape I, Stott MB, Hugenholtz P and Ferrari, BC (2017) Atmospheric trace gases support primary production in Antarctic desert surface soil. Nature 552(7685), 400403.10.1038/nature25014CrossRefGoogle ScholarPubMed
Jones, EG (2018) Shallow transient liquid water environments on present-day mars, and their implications for life. Acta Astronautica 146, 144150.10.1016/j.actaastro.2018.02.027CrossRefGoogle Scholar
Larsen, S, Coleine, C, Albanese, D, Stegen, J. C, Selbmann, L and Donati, C (2024) Geology and elevation shape bacterial assembly in Antarctic endolithic communities. Science of the Total Environment 907, 168050.10.1016/j.scitotenv.2023.168050CrossRefGoogle Scholar
Letertre, MP, Giraudeau, P and De Tullio, P (2021) Nuclear magnetic resonance spectroscopy in clinical metabolomics and personalized medicine: current challenges and perspectives. Frontiers in Molecular Biosciences 8, 698337.10.3389/fmolb.2021.698337CrossRefGoogle ScholarPubMed
Lorenz, C, Bianchi, E, Poggiali, G, Alemanno, G, Benesperi, R, Brucato, JR, Garland S, Helbert J, Loppi S, Lorek A, Maturilli A, Papini A, de Vera JP and Baqué, M (2023) Survivability of the lichen Xanthoria parietina in simulated Martian environmental conditions. Scientific Reports 13(1), 4893.10.1038/s41598-023-32008-6CrossRefGoogle ScholarPubMed
Mancinelli, RL and Klovstad, M (2000) Martian soil and UV radiation: microbial viability assessment on spacecraft surfaces. Planetary and Space Science 48(11), 10931097.10.1016/S0032-0633(00)00083-0CrossRefGoogle Scholar
Martinez, GM, Newman, CN, De Vicente-Retortillo, A, Fischer, E, Rennó, NO, Richardson, MI, Fairén G, Genzer M, Guzewich SD, Haberle RM, Harri AM, Kemppinen O, Lemmon MT, Smith MD, de la Torre-Juárez M and Vasavada, AR (2017) The modern near-surface Martian climate: A review of in-situ meteorological data from Viking to Curiosity. Space Science Reviews 212, 295338.10.1007/s11214-017-0360-xCrossRefGoogle Scholar
Martín-Torres, FJ, Zorzano, MP, Valentín-Serrano, P, Harri, AM, Genzer, M, Kemppinen, O, Rivera-Valentin EG, Jun I, Wray J, Madsen MB, Goetz W, McEwen AS, Hardgrove C, Renno N, Chevrier VF, Mischna M, Navarro-González R, Martínez-Frías J, Conrad P, McConnochie T, Cockell C, Berger G, Vasavada AR, Sumner D and Vaniman, D (2015). Transient liquid water and water activity at Gale crater on Mars. Nature Geoscience 8(5), 357361.10.1038/ngeo2412CrossRefGoogle Scholar
McKay, CP (2010) An origin of life on Mars. Cold Spring Harbor Perspectives in Biology 2(4), a003509.10.1101/cshperspect.a003509CrossRefGoogle ScholarPubMed
Merino, N, Aronson, HS, Bojanova, DP, Feyhl-Buska, J, Wong, ML, Zhang, S and Giovannelli, D (2019) Living at the extremes: extremophiles and the limits of life in a planetary context. Frontiers in Microbiology 10, 780.10.3389/fmicb.2019.00780CrossRefGoogle Scholar
Muggia, L, Coleine, C, De Carolis, R, Cometto, A and Selbmann, L (2021) Antarctolichenia onofrii gen. nov. sp. nov. from Antarctic endolithic communities untangles the evolution of rock-inhabiting and lichenized fungi in Arthoniomycetes. Journal of Fungi 7(11), 935.10.3390/jof7110935CrossRefGoogle ScholarPubMed
Nienow, JA (1993) Terrestrial lithophytic (rock) communities. Antarctic Microbiology, 343412.Google Scholar
Onofri, S, de la Torre, R, de Vera, JP, Ott, S, Zucconi, L, Selbmann, L, Scalzi G, Venkateswaran KJ, Rabbow E, Sánchez Iñigo FJ and Horneck, G (2012) Survival of rock-colonizing organisms after 1.5 years in outer space. Astrobiology 12(5), 508516.10.1089/ast.2011.0736CrossRefGoogle ScholarPubMed
Onofri, S, de Vera, JP, Zucconi, L, Selbmann, L, Scalzi, G, Venkateswaran, KJ, Rabbow E, de la Torre R and Horneck, G (2015) Survival of Antarctic cryptoendolithic fungi in simulated Martian conditions on board the International Space Station. Astrobiology 15(12), 10521059.10.1089/ast.2015.1324CrossRefGoogle ScholarPubMed
Onofri, S, Selbmann, L, de Hoog, GS, Grube, M, Barreca, D, Ruisi, S and Zucconi, L (2007) Evolution and adaptation of fungi at boundaries of life. Advances in Space Research 40(11), 16571664.10.1016/j.asr.2007.06.004CrossRefGoogle Scholar
Pacelli, C, Bryan, RA, Onofri, S, Selbmann, L, Shuryak, I and Dadachova, E (2017) Melanin is effective in protecting fast and slow growing fungi from various types of ionizing radiation. Environmental Microbiology 19(4), 16121624.10.1111/1462-2920.13681CrossRefGoogle ScholarPubMed
Palumbo, AM, Head, JW and Wordsworth, RD (2018) Late Noachian Icy Highlands climate model: Exploring the possibility of transient melting and fluvial/lacustrine activity through peak annual and seasonal temperatures. Icarus 300, 261286.10.1016/j.icarus.2017.09.007CrossRefGoogle Scholar
Patel, MR, Zarnecki, JC and Catling, DC (2002) Ultraviolet radiation on the surface of Mars and the Beagle 2 UV sensor. Planetary and Space Science 50(9), 915927.10.1016/S0032-0633(02)00067-3CrossRefGoogle Scholar
Pepper, IL and Gentry, TJ (2015). Earth environments. In Environmental Microbiology. Academic Press, pp. 5988.10.1016/B978-0-12-394626-3.00004-1CrossRefGoogle Scholar
Pointing, SB and Belnap, J (2012) Microbial colonization and controls in dryland systems. Nature Reviews Microbiology 10(8), 551562.10.1038/nrmicro2831CrossRefGoogle ScholarPubMed
Pointing, SB, Chan, Y, Lacap, DC, Lau, MC, Jurgens, JA and Farrell, RL (2009) Highly specialized microbial diversity in hyper-arid polar desert. Proceedings of the National Academy of Sciences 106(47), 1996419969.10.1073/pnas.0908274106CrossRefGoogle ScholarPubMed
Rapin, W, Dromart, G, Rubin, D, Le Deit, L, Mangold, N, Edgar, LA, Gasnault O, Herkenhoff K, Le Mouélic S, Anderson RB, Maurice S, Fox V, Ehlmann BL, Dickson JL and Wiens, RC (2021) Alternating wet and dry depositional environments recorded in the stratigraphy of Mount Sharp at Gale crater, Mars. Geology 49(7), 842846.10.1130/G48519.1CrossRefGoogle Scholar
Raulin-Cerceau, F (2004) Historical review of the origin of life and astrobiology. In Origins: Genesis, Evolution and Diversity of Life. Dordrecht: Springer Netherlands, pp. 1533.Google Scholar
Scalzi, G, Selbmann, L, Zucconi, L, Rabbow, E, Horneck, G, Albertano, P and Onofri, S (2012) LIFE experiment: isolation of cryptoendolithic organisms from Antarctic colonized sandstone exposed to space and simulated Mars conditions on the International Space Station. Origins of Life and Evolution of Biospheres 42, 253262.10.1007/s11084-012-9282-5CrossRefGoogle ScholarPubMed
Sebastián, E, Armiens, C, Gómez-Elvira, J, Zorzano, MP, Martinez-Frias, J, Esteban, B and Ramos, M (2010) The rover environmental monitoring station ground temperature sensor: A pyrometer for measuring ground temperature on Mars. Sensors 10(10), 92119231.10.3390/s101009211CrossRefGoogle ScholarPubMed
Selbmann, L, De Hoog, GS, Mazzaglia, A, Friedmann, EI and Onofri, S (2005) Fungi at the edge of life: cryptoendolithic black fungi from Antarctic desert. Studies in Mycology 51(1), 132.Google Scholar
Selbmann, L, De Hoog, GS, Zucconi, L, Isola, D, Ruisi, S, Van Den Ende, AHG, Ruibal C, De Leo F, Urzì C and Onofri, S (2008) Drought meets acid: three new genera in a dothidealean clade of extremotolerant fungi. Studies in Mycology 61(1), 120.10.3114/sim.2008.61.01CrossRefGoogle Scholar
Selbmann, L, Onofri, S, Coleine, C, Buzzini, P, Canini, F and Zucconi, L (2017) Effect of environmental parameters on biodiversity of the fungal component in lithic Antarctic communities. Extremophiles 21, 10691080.10.1007/s00792-017-0967-6CrossRefGoogle ScholarPubMed
Selbmann, L, Zucconi, L, Isola, D and Onofri, S (2015) Rock black fungi: excellence in the extremes, from the Antarctic to space. Current Genetics 61, 335345.10.1007/s00294-014-0457-7CrossRefGoogle ScholarPubMed
Simpson, JA (1983) Elemental and isotopic composition of the galactic cosmic rays. Annual Review of Nuclear and Particle Science 33.10.1146/annurev.ns.33.120183.001543CrossRefGoogle Scholar
Smith, ML, Claire, MW, Catling, DC and Zahnle, KJ (2014) The formation of sulfate, nitrate and perchlorate salts in the martian atmosphere. Icarus 231, 5164.10.1016/j.icarus.2013.11.031CrossRefGoogle Scholar
Stoppiello, GA, Muggia, L, De Carolis, R, Coleine, C and Selbmann, L (2025) Ecological niche drives fungal and bacterial diversity in endolithic and epilithic communities inhabiting granites in Victoria Land, Antarctica. Polar Biology 48(1), 16.10.1007/s00300-024-03328-8CrossRefGoogle Scholar
Turchetti, B, Selbmann, L, Blanchette, RA, Di Mauro, S, Marchegiani, E, Zucconi, L, Arenz BE and Buzzini, P (2015) Cryptococcus vaughanmartiniae sp. nov. and Cryptococcus onofrii sp. nov.: two new species isolated from worldwide cold environments. Extremophiles 19, 149159.10.1007/s00792-014-0692-3CrossRefGoogle ScholarPubMed
Turchetti, B, Selbmann, L, Gunde-Cimerman, N, Buzzini, P, Sampaio, JP and Zalar, P (2018) Cystobasidium alpinum sp. nov. and Rhodosporidiobolus oreadorum sp. nov. from European Cold Environments and Arctic Region. Life 8(2), 9.10.3390/life8020009CrossRefGoogle ScholarPubMed
Walker, JJ and Pace, NR (2007) Endolithic microbial ecosystems. Annual Review of Microbiology 61(1), 331347.10.1146/annurev.micro.61.080706.093302CrossRefGoogle ScholarPubMed
Westall, F, Loizeau, D, Foucher, F, Bost, N, Betrand, M, Vago, J and Kminek, G (2013) Habitability on Mars from a microbial point of view. Astrobiology 13(9), 887897.10.1089/ast.2013.1000CrossRefGoogle ScholarPubMed
Wierzchos, J, Ascaso, C, Artieda, O and Casero, MC (2020) The desert polyextreme environment and endolithic habitats. In Microbial Ecosystems in Central Andes Extreme Environments: Biofilms, Microbial Mats, Microbialites and Endoevaporites, pp. 3749.10.1007/978-3-030-36192-1_3CrossRefGoogle Scholar
Wierzchos, J, Casero, MC, Artieda, O and Ascaso, C (2018) Endolithic microbial habitats as refuges for life in polyextreme environment of the Atacama Desert. Current Opinion in Microbiology 43, 124131.10.1016/j.mib.2018.01.003CrossRefGoogle ScholarPubMed
Wierzchos, J, Ríos, ADL and Ascaso, C (2012) Microorganisms in desert rocks: the edge of life on Earth.Google Scholar
Williams, TJ, Allen, MA, Ray, AE, Benaud, N, Chelliah, DS, Albanese, D, Donati C, Selbmann L, Coleine C and Ferrari, BC (2024) Novel endolithic bacteria of phylum Chloroflexota reveal a myriad of potential survival strategies in the Antarctic desert. Applied and Environmental Microbiology 90(3), e0226423.Google ScholarPubMed
Wollenzien, U, De Hoog, GS, Krumbein, WE and Urzi, C (1995) On the isolation of microcolonial fungi occurring on and in marble and other calcareous rocks. Science of the Total Environment 167(1-3), 287294.10.1016/0048-9697(95)04589-SCrossRefGoogle Scholar
Wordsworth, RD (2016). The climate of early Mars. Annual Review of Earth and Planetary Sciences 44, 381408.10.1146/annurev-earth-060115-012355CrossRefGoogle Scholar
Wordsworth, R, Knoll, AH, Hurowitz, J, Baum, M, Ehlmann, BL, Head, JW and Steakley, K (2021) A coupled model of episodic warming, oxidation and geochemical transitions on early Mars. Nature Geoscience 14(3), 127132.10.1038/s41561-021-00701-8CrossRefGoogle Scholar
Yamagishi, A (2019) What Is Astrobiology?. Singapore: Springer, pp. 37.Google Scholar
Yung, CC, Chan, Y, Lacap, DC, Pérez-Ortega, S, de Los Rios-Murillo, A, Lee, CK, Craig Cary S and Pointing, SB (2014) Characterization of chasmoendolithic community in Miers Valley, McMurdo dry valleys, Antarctica. Microbial Ecology 68, 351359.10.1007/s00248-014-0412-7CrossRefGoogle ScholarPubMed
Zeitlin, C, Boynton, W, Mitrofanov, I, Hassler, D, Atwell, W, Cleghorn, TF, Cucinotta FA, Dayeh M, Desai M, Guetersloh SB, Kozarev K, Lee KT, Pinsky L, Saganti P, Schwadron NA and Turner, R (2010) Mars Odyssey measurements of galactic cosmic rays and solar particles in Mars orbit, 2002–2008. Space Weather 8(11).10.1029/2009SW000563CrossRefGoogle Scholar
Figure 0

Figure 1. (A) Sandstone cliffs at Linnaeus Terrace, McMurdo Dry Valleys, Antarctica; (B) biological weathering: patchwork colored surface of sandstone due to rock exfoliation as consequence of endolithic microbial activity; (C, D) typical stratification of cryptoendolithic lichen-dominated communities at different magnification. Scale bar (C) = 1 cm; scale bar (D) = 0.5 cm.

Figure 1

Figure 2. Sampling map. (A) Map of Victoria Land (from Google Earth) indicating sampling locations selected for CRYPTOMARS. Landscapes of the sampling areas: (B) Timber Peak; (C) Mt New Zealand; (D) Pudding Butte; (E) Battleship Promontory; (F) Linnaeus Terrace.

Figure 2

Figure 3. Calliope facility.

Figure 3

Figure 4. TOP-IMPLART Accelerator.

Figure 4

Figure 5. Climatic Chamber.

Figure 5

Table 1. Selected stress conditions and replicates of treated colonized rocks

Figure 6

Figure 6. Mars simulation facility in PASLAB at Berlin DLR (Lorenz et al., 2023).