Skip to main content

Thank you for visiting You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

A thin ice layer segregates two distinct fungal communities in Antarctic brines from Tarn Flat (Northern Victoria Land)


Brines are hypersaline solutions which have been found within the Antarctic permafrost from the Tarn Flat area (Northern Victoria Land). Here, an investigation on the possible presence and diversity of fungal life within those peculiar ecosystems has been carried out for the first time. Brines samples were collected at 4- and 5-meter depths (TF1 and TF2, respectively), from two brines separated by a thin ice layer. The samples were analyzed via Illumina MiSeq targeting the ITS region specific for both yeasts and filamentous fungi. An unexpected high alpha diversity was found. Beta diversity analysis revealed that the two brines were inhabited by two phylogenetically diverse fungal communities (Unifrac value: 0.56, p value < 0.01; Martin’s P-test p-value < 0.001) characterized by several specialist taxa. The most abundant fungal genera were Candida sp., Leucosporidium sp., Naganishia sp. and Sporobolomyces sp. in TF1, and Leucosporidium sp., Malassezia sp., Naganishia sp. and Sporobolomyces sp. in TF2. A few hypotheses on such differentiation have been done: i) the different chemical and physical composition of the brines; ii) the presence in situ of a thin layer of ice, acting as a physical barrier; and iii) the diverse geological origin of the brines.


Earth cryosphere includes some of the most extreme environments of the globe that, far to be considered abiotic, harbors a wide diversity of psychrophilic and psychrotolerant microorganisms1,2. These highly specialized microorganisms have developed a number of adaptation strategies to overcome the direct and indirect impact of low temperatures on microbial physiology. Besides, the extreme hydro-edaphic conditions in those hostile environments may affect the alpha-diversity of microbial communities3,4. In this framework, although Antarctica has been for decades the preferred area for studying the diversity of cold-adapted microorganisms, the ecology and diversity of psychrophilic and psychrotolerant fungi (including yeasts) have been reviewed only in recent years5,6,7,8,9. Continental Antarctic brines are hypersaline solutions within permafrost whose high salinity keep them unfrozen several degrees below 0 °C and, depending on the variety of brines, could maintain an aqueous phase even at −50 °C10. Their genesis and subsurface pattern of circulation are largely unknown11,12,13,14,15,16. Some of these Antarctic brines occur below ice-sealed lakes12,13, below the subglacial lakes17 and even underground in ice-free continental areas15. Recently, Forte et al.14 described a new system in which pressurized hypersaline brines were found below an ice-sealed lake, but probably coming from deeper circulation from outside the lake basin.

The recent discovery of brines on Mars surface by the Rover Environmental Monitoring Station on NASA’s Curiosity and the recent hypothesis of near-surface brine mobilization in one of the Jupiter’s satellites (i.e. Europe) has increased the interest in studying Earth analogues environments for possible speculations on the potential extra-terrestrial microbial life18,19.

In this context, the characterization of microbiota inhabiting Antarctic brines could also reveal interesting details about their possible geographical and geological origin. Although brines found in Antarctica have stimulated since early 2000 s a large interest as a possible new habitat for both bacterial and algal life16,20,21,22,23,24,25,26,27, only a few information are currently available on fungal communities colonizing those peculiar ecosystems20,24,28,29. Therefore, a clear picture of mycobiota colonizing Antarctic brines is so far lacking.

In this study, within the framework of the Italian National Research Programme in Antarctica, we have investigated the diversity of fungal communities occurring in hypersaline unfrozen brines found within a perennial frozen lake at Tarn Flat (Northern Victoria Land, Antarctica). In detail, two pockets of liquid brines, separated each other from a few cm layer of ice, were analyzed.


Chemical characteristics of the brines

Based on a preliminary direct visual observation, the two brines appeared different each other: the upper one (TF1) was transparent and free of gas while the deeper one (TF2) was yellow coloured and characterized by an intense gas bubbling. Physical and chemical analyses of both TF1 and TF2 are reported in Table 1.

Table 1 Chemical parameters of the two brines (TF1 and TF2). The mean (µ) concentration values, standard deviation and p-values are reported. Significantly different p-value are in bold whereas not significant values are abbreviated with n.s.

The two brines exhibited some differences in terms of chemical characteristics. As already reported in Forte et al. TF1 was more saline than TF2 (90 and 75 psu, respectively): based on these data it was possible to estimate a sodium concentration around 20 +/− 3 g L−1. Moreover, the two brines significantly differed also in the content of carbonaceous compounds: TOC and TIC where higher in TF2 (Table 1). Trace elements contents also showed that TF1 was significantly enriched in crustal elements such as Al, Ti, Fe, Cu and Zn with respect to TF2 (Table 1). Interestingly, although the two brines showed different salinity values, sulphate content was similar (p-value = 0.843).

Fungal diversity of the brines

Considering all the replicates (n = 3 in TF1 and n = 3 in TF2), after bioinformatics pipeline, a total of 246,928 reads assigned as Fungi clustered in 600 OTUs were found (see Supplementary Tables S1 and S2). They were taxonomically assigned to 3 Phyla, 16 classes, 38 orders, 57 families and 74 genera. Overall, 63 fungal OTUs shared both TF1 and TF2 (12.6% of the total), while 135 and 303 (26.9 and 60.5%) were found exclusively in TF1 or in TF2, respectively (Fig. 1). At the Genus level, only 35 genera out of 74 (47.3%) shared both brines, whereas 8 and 31 genera (10.8 and 41.9%) were found exclusively in TF1 or in TF2, respectively (Table 2).

Figure 1

Venn diagram showing the number and percentage of shared fungal OTUs between brine TF1 and TF2. Only OTUs presents in at least two replicates were considered. OTUs were defined by 97% sequence similarity.

Table 2 Distribution of common and specialist Taxa between TF1 and TF2.

Fungal communities showed a significantly (p-value < 0.01) higher richness in TF2 (number of OTUs observed = 337 ± 20) than in TF1 (208 ± 14). Additionally, Shannon index was higher (p-value < 0.05) in TF2 (3.00 ± 0.02) than TF1 (2.95 ± 0.01).

Martin’s P-test (p-value < 0.001) and significant Unifrac test (Unifrac value: 0.56; p value: 0.01) revealed that the brines were significantly different. Phylogenetic tree showed that the fungal OTUs found in the two brines were inhabited by two diverse fungal communities characterized by several specialist Taxa (Fig. 2).

Figure 2

Phylogenetic relationships of the OTUs found in the two brines. Red branches are indicative of fungal OTUs specific of TF1, whereas green OTUs are specific of TF2. Black branches represent fungal OTUs found in both TF1 and TF2.

Taxonomic composition of fungal community of the brines

Basidiomycota was the dominant phylum in both brines (71.8% in TF1 and 78.6% in TF2), while the OTUs referred as unclassified fungi accounted around 4% in both brines (Fig. 3). However, the taxonomic composition of fungal communities sharing the two brines began to diverge, ranging from classes, orders, families and, finally, to genera. Overall, the number of OTUs referred as “others” (i.e. Taxa found at a level < 1%+ unclassified OTUs in both brines) increased in parallel from class to genera (Fig. 3). Microbotryomycetes, Tremellomycetes and Saccharomycetes were found as dominant (82.3% of total) classes in TF1, whereas Tremellomycetes, Microbotryomycetes, and the subphylum Ustilaginomycotina (referred as incertae sedis) accounted for 71.5% of total OTUs in TF2 (Fig. 3). The dominant orders found in TF1, i.e. Leucosporidiales, Tremellales Sporidiobolales, and Saccharomycetales accounted for 68.8% of total OTUs, while Leucosporidiales, Malasseziales, Tremellales and Sporidiobolales were the dominant (46.4%) orders in TF2 (Fig. 3). Sporidiobolales, Saccharomycetales (both referred as incertae familiae), Tremellaceae and Leucosporidiaceae were found to be the dominant Taxa at the family level in TF1 (60.3% of total OTUs). On the contrary, Leucosporidiaceae, Malasseziaceae, Tremellaceae and Sporidiobolales (the last referred as incertae familiae) dominated in TF2 (45.5%). The family Erysiphaceae was found exclusively in TF1 (about 1%) (Fig. 3). At the genus level, Candida sp., Leucosporidium sp., Naganishia sp. and Sporobolomyces sp. accounted for 52.9% of total OTUs found in TF1, whereas Leucosporidium sp., Malassezia sp., Naganishia sp. and Sporobolomyces sp. for 44.2% in TF2. The genus Golovinomyces (belonging to the family Erysiphaceae) was found exclusively in TF1 (Fig. 3).

Figure 3

Fungal community composition at Phylum (A), Class (B), Order (C), Family (D) and Genus (E) level of TF1 and TF2. The data represent the means of three replicates per brine.


Although the present study has limitations due to the low number of brine samples analysed (due to sampling logistic problems), this is the first investigation on the diversity of fungal life within those peculiar Antarctic ecosystems. Furthermore, in McMurdo Dry Valleys brines have been rarely found in some perennially frozen lakes and only in one instance in an underground aquifer14.

Geochemical parameters, including total organic and inorganic content, and salinity showed substantial differences in the chemical composition of the two brines. Besides, the relatively high alpha-diversity of fungal communities found in TF1 and TF2 is apparently indicative of fungal communities well adapted to those peculiar ecosystems. Specifically, Shannon and richness diversity were higher in TF2 suggesting a most favourable environment for fungal growth. On the other hands, beta-diversity analysis (Martin’s P-test and Unifrac significance tests) revealed that TF1 and TF2 sequences clustered distinctly and that their overall phylogenetic and taxonomic composition varied significantly due to the presence of diverse fungal lineages in each brine. These data are confirmed by the high number of specialist Taxa detected: over 85% of fungal OTUs were found exclusively in TF1 or in TF2.

The finding of two distinct fungal communities in two brines sampled a few centimeters apart and separated in situ only by a thin layer of ice is quite tricky to explain. Maybe, the physical and chemical structures (i.e. nutrient availability, ionic composition and ecological constraints) characterizing the two brines make them different enough to establish such dissimilarity. In addition, the thin ice layer dividing TF1 from TF2 may act as physical barrier, thus probably avoiding the microbial dispersion between the two brines and promoting a microbial divergence due to the local adaptation and/or random genetic drift30. Otherwise, the observed diversity of the fungal communities (together with the dissimilar chemical characteristics) found in the two brines could be also related to their possible different origins. Indeed, TF1 can be the results of the infiltration during the summer of surface run off from the lateral partial melting of the lake ice along the shorelines and/or the snow accumulated on the lake and/or around the lake. Therefore, TF1 could have had contacts with the atmosphere and with the surface around the lake. In contrast, TF2 could have been fed by an outside lake basin as suggested by GPR images14. This feeding could have enriched TF2 with organic compounds and gases originated from the nutrient rich lake sediments found below TF2 layer in the borehole drilled by Forte et al.14. On the other hands, TF1 and TF2 shared 12.6% of fungal OTUs. Although the causes of this observed similarity are not easy to explain, we could try to speculate that the thin ice layer segregating the two brines did not persist throughout the time giving the chance of a little exchange of fungal diversity.

Differences of microbial communities colonizing non-Antarctic stratified deep brines have been already investigated. Among them, some hypersaline anoxic basins located in the eastern Mediterranean Sea, namely Urania or L’Atalante26,31,32,33. In those cases, more than 2 meters of brines, characterized by a salinity gradient, were physically separated by different layers, differently from the TF1 and TF2, which were separated only by a few centimeters of ice.

Targeted environmental sequencing of deep-sea sediments from the East Indian Ocean defined 54% yeasts clones related to the former polyphyletic genera Cryptococcus and Rhodotorula, which have been reported for the majority of deep sub-seafloor samples. On the other hands, phylotypes related to Ascomycota (e.g. Candida sp. and Dipodascus sp.) were only rarely recovered34,35,36,37. Lesser abundant yeast taxa (i.e. Hortaea sp., Sporobolomyces sp. and Tausonia sp.) were also found. Fungi represented 17% of total 18 S rRNA gene sequences found in deep-sea super-haline anoxic basins of Bannock and Discovery at the Mediterranean Basin brine and brine/seawater interface, while no fungi were detected in the NaCl-rich Bannock brine and at the Discovery interface. Finally, OTUs related to Malassezia spp. and to Schizosaccharomyces spp. were found at the Bannock interface38.

Interestingly Basidiomycota dominated both TF1 and TF2. This result is in accordance with recent data on the superior ability of basidiomycetes to adapt their physiology to cold conditions39,40. However, as above reported, the taxonomic composition of fungal communities sharing the two brines began to diverge, ranging from classes, orders, families, and, finally, to genera. Considering the Taxa detected at genus level, the most abundant genera found in both brines were yeast or yeast-like organisms, suggesting that yeast cell forms can dominate the fungal biodiversity in both brines. This evidence is apparently consistent with previous observations reporting that yeasts are the prevalent form of fungi in the deep-sea habitats characterized by intense salinity41. Likewise, Fell42 also postulated that the unicellular lifestyle is apparently better adapted to the aqueous environment than fungal hyphae.

In particular, the dominant genera were Candida, Leucosporidium, Naganishia and Sporobolomyces in TF1, whereas (with very different relative abundances) Leucosporidium, Malassezia, Naganishia and Sporobolomyces in TF2. All above genera include either psychrophilic or psychrotolerant yeasts found in worldwide cold habitats, including Antarctica9. Besides, species belonging to the genera Candida, Naganishia and Sporobolomyces were also found in different worldwide saline environments43.

The family Erysiphaceae (found exclusively in TF1 with the genus Golovinomyces) includes a number of genera of obligate parasites causing powdery mildews on leaves and fruits of higher plants. This genus includes 63 biotrophic, obligate plant pathogenic species44 with a host range mostly restricted to herbaceous plants, including up to 2283 species from 58 families45,46.

Due to its peculiar ecology, this recovery in Antarctic brines is quite surprising, since angiosperms are totally absent in Continental Antarctica. Besides, fungal spores are easy to disperse even over very long distances and Antarctic environments continuously receive microbial propagules from outside the region47. As a result, the microflora found in Antarctic snow, ice, and permafrost may show high frequency of apparently cosmopolitan species48, including the ones which ecology is incompatible with Antarctic environments. Therefore, the complex balance between evolution, extinction and colonization may greatly influence the picture of Antarctic microbial diversity.

Fungal OTUs found in TF1 and TF2 represent fungal cells that have most probably remained entrapped in brine for at least several hundred years with temperatures down to −30 °C. The relative low abundance of unclassified OTUs could suggest that communities found in TF1 and TF2, although different, may be not so divergent from the fungal taxonomic structure so far described. This could be due to the transportation of these fungi through the saline brines flows from other sites. Alternatively, they may be resident species but segregated from the global gene pool over a not evolutionary significantly time-scale, as hypothesized for fungi isolated from permafrost samples in the McMurdo Dry Valleys49.

As above reported, interest in brines collected in extreme and cold environments has increased after recent observations of recurrent slope lineae (RSL) on Mars as a possible result of the flow of a liquid, likely a saline brine50,51,52. This finding gave special emphasis to the possibility that brines could constitute a terrestrial analogue for studying the possibility of microbial life in sub-surface extraterrestrial (i.e. Martian) habitats53. In this context, a few studies54,55 described the existence of a possible microbial ecosystem in a deep sub-permafrost talik (890–1,130 m of depth). This deep environment could be considered a terrestrial analog for the Martian subsurface where water could be liquid at kilometers depth beneath the Martian permafrost, thus allowing some speculations on the possible presence of chemoautolithotrophic microbial communities56. Of course, thinking that the evolution of life on another planet could have followed exactly the same path as it did on Earth is quite unlikely. However, if TF2 can be considered a brine fed by an open talik system, the possibility to study these environments as possible analogues for speculating on the possible presence of microbial life in sub-permafrost Martian talik could be taken into consideration.

Materials and Methods

Study area

Tarn Flat area (75°4′S 162°30′E) is an ice-free area (ca. 100 km2) in the north to the McMurdo Dry Valley in Victoria Land (Antarctica; Fig. 4A). It exhibits a cold and dry climate with a Mean Annual Air Temperature (MAAT) of approximately −14 °C. Precipitations (always in the form of snow) range between 100 and 200 mm/yr57,58. During summers, the temperature can reach (or even exceed) +4 °C just for a few days, while the mean seasonal temperature is less than −2 °C59.

Figure 4

Location of the study area. (A) Location of Tarn Flat area within Antarctic continent; (B) view of the Tarn Flat area and of the analysed lake in which is clearly visible the PLF indicated by the black arrow where the brines were found; (C) Schematic stratigraphy of the borehole (from Forte et al., modified)14. The light blue levels are the zones where brines (TF1 and TF2) where sampled.

Sample collection

In the studied lake (280 m long and 100 m wide, maximum depth around 6 m) the brines were located only within a deep trough in correspondence of which a pingo like feature (PLF) occurs (Fig. 4B14). PLF is a frost mound that intruded the lake ice surface reaching a maximum height of 45 cm and extending within an area of approximately of 500 m2. Below that mound, brines have been preliminarily identified using GPR data; they were then reached and sampled through a 51 mm diameter borehole that was drilled in the center of the frost mound using a semi-portable core auger14. In particular, the first pocket of liquid brine (TF1) was found between 3.78 m, and 3.98 m (Fig. 4C). TF1 was separated by the second pocket of liquid brine (TF2) (0.84 m thick) by only a 12 cm layer of ice (containing some organic material inclusions). Below TF2 additional frozen sediments rich in organic content occurred between 4.94 m and the bottom of the borehole (5.68 m, Fig. 4C). Both brines were collected in sterile Pyrex bottles using a peristaltic pump and sterile tubing. Additional details of brine sampling are given in Forte et al.14. After collections, the brines were stored at −20 °C in the dark at Mario Zucchelli Station (MZS) prior to their delivery to laboratories for chemical and microbiological analyses.

Chemical analyses

Since salinity and pH in both TF1 and TF2 were already determined and reported in a previous study14, in this paper the analysis was mainly focused on the determination of chemical parameters potentially impacting on the heterotrophic metabolism of fungal communities under investigation. In particular, the determination of the organic carbon (TOC) and inorganic carbon (TIC, as carbonate/bicarbonate), nitrate, phosphate, sulphate, and trace elements (TE) such as Li, Mg, Al, K, Ca, Ti, V, Cr, Mn, Fe, Cu, Zn, Sr, I, Ba, U was carried out.

All liquid brine samples were filtered using a PTFE membrane (pore size 0.45 µm) before analyses. Total organic and inorganic carbon contents in the water phase were determined in triplicates using a Shimadzu 5050 A TOC analyzer, following the methodology reported by the manufacturer. The anions (NO3, PO43−, SO42−) were analyzed using ion chromatography (Metrohm 761 Compact IC Chromatography) equipped with a Metrosep A Supp4-250 column. Melted samples were diluted 1:100 before analysis using ultrapure water (ELGA LabWater, Marlow, UK). Three aliquots (n = 3) of each sample were analyzed. For the determination of trace elements (TE), melted samples were diluted 1:10000 (using Ultrapure Water, ELGA), acidified to pH = 1.00 using HNO3 (Romil, Cambridge, UK) and analyzed by Inductively Coupled Plasma Sector Field Mass Spectrometry (ICP-SFMS, Finnigan TM ELEMENT2, Thermo Fisher Scientific Inc. Bremen, Germany). Quantification of all chemicals was performed using external calibration curves and the limits of detection were determined from the average values of the procedural blanks (n = 3) plus three standards. Three aliquots of each sample were analyzed (n = 3).

DNA extraction

Total DNA from brines samples was aseptically extracted using Power Water DNA Isolation Kit (Qiagen, Germany) following the operating instructions. Prior to DNA extraction, the brines were thawed at 4 °C and aseptically filtered in order to collect the biomass present in each brine on sterile cellulose acetate filter (cutoff = pore size 0.2 µm Sartorius Stedim, Biotech, Germany). The quality and quantity of DNA extracted was determined by using QuBit 2.0 Fluorometer Assay (Life Technologies Corporation) and by NanoDrop 2000 c spectrophotometer (Thermo Fisher Scientific, Waltham, MA, USA).

Three replicates for each brine were run on Illumina MiSeq.

Fungal ITS genes data analysis

Fungal internal transcribed spacer region 2 (ITS2) was amplified using IlluAdp_ITS31_NeXTf 5′-CATCGATGAAGAACGCAG-3′ and IlluAdp_ITS4_NeXTr5′-TCCTCCGCTTATTGATATGC-3′60. The PCR products were sequenced using the Illumina MiSeq platforms, following the standard protocols of the company STAB Vida Lda. (Caparica, Portugal). Raw data derived from fungal ITS genes Illumina run were processed according to the following pipeline. Paired-end reads from each library were paired via Pear61. Sequences with a quality score threshold lower than 30 and shorter than 150 bp were discarded. Assembled reads were analyzed via Qiime v.1.8 software package62. Sequences were checked for chimeras with the Chimera VSEARCH63. Next, fungal sequences were taxonomically annotated using UNITE + INSDC dataset June 2017 release64. Operational taxonomic units (OTUs) table was generated using demultiplexed sequences at 97% similarity and singletons were removed. All sequences have been submitted to the European Nucleotide Archive (EMBL - EBI) under accession number PRJEB23181.

Statistical analysis and estimation of fungal alpha and beta diversity

R software was used to perform the statistical analysis65. Alpha diversity (richness and Shannon) was estimated using multiple functions of the library vegan66. Alpha diversity indices and chemical parameters of TF1 and TF2 were compared using the t-test at a confidence level of 95% for each variable. The statistical equality of variances was firstly evaluated using the F-test. Where the F-test indicates the non-equality of variances (i.e. in the case of lithium and iron), the mean values (µTF) were compared using the Welch’s t-test at a confidence level of 95%.

Venn diagram was generated using Venny67, considering only OTUs present in at least two replicates.

Representative OTUs were aligned via MUSCLE version 3.8.3168,69 using default parameters. A phylogenetic tree was generated within QIIME using FastTree version 2.1.470 and visualized via Interactive Tree of Life (iTOL) software71. Beta diversity was calculated within QIIME using Martin’s P-test and Unifrac significance tests62,72,73.


  1. 1.

    Cavicchioli, R. & Tortsen, T. In Encyclopaedia of Microbiology (ed. Lederberg, J.) 317–337 (Academic Press, London, 2000).

  2. 2.

    Margesin, R., Neuner, G. & Storey, K. B. Cold-loving microbes, plants, and animals - Fundamental and applied aspects. Naturwissenschaften 94, 77–99 (2007).

    ADS  CAS  Article  PubMed  Google Scholar 

  3. 3.

    Margesin, R. & Miteva, V. Diversity and ecology of psychrophilic microorganisms. Res. Microbiol. 162, 346–361 (2011).

    Article  PubMed  Google Scholar 

  4. 4.

    Buzzini, P. & Margesin, R. Cold-adapted Yeasts. Biodiversity, adaptation strategies and biotechnological significance. (Springer-Verlag Berlin Heidelberg, 2014).

  5. 5.

    Onofri, S., Zucconi, L. & Tosi, S. Continental Antarctic fungi. (2007).

  6. 6.

    Buzzini, P., Branda, E., Goretti, M. & Turchetti, B. Psychrophilic yeasts from worldwide glacial habitats: Diversity, adaptation strategies and biotechnological potential. FEMS Microbiol. Ecol. 82, 217–241 (2012).

    CAS  Article  PubMed  Google Scholar 

  7. 7.

    Dreesens, L., Lee, C. & Cary, S. The Distribution and Identity of Edaphic Fungi in the McMurdo Dry Valleys. Biology (Basel). 3, 466–483 (2014).

    PubMed  PubMed Central  Google Scholar 

  8. 8.

    Connell, L. B., Rodriguez, R. R., Redman, R. S. & Dalluge, J. J. In Cold-adapted yeasts (eds. Buzzini, P. & Margesin, R.) 75–78 (Springer Berlin Heidelberg, 2014).

  9. 9.

    Buzzini, P., Turk, M., Perini, L., Turchetti, B. & Gunde-Cimerman, N. In Yeasts in Natural Ecosystems: Diversity (eds. Buzzini, P., Lachance, M.-A. & Yurkov, A.) 331–365, (Springer International Publishing, 2017).

  10. 10.

    Brass, G. W. Stability of brines on Mars. Icarus 42, 20–28 (1980).

    ADS  CAS  Article  Google Scholar 

  11. 11.

    Dickson, J. L., Head, J. W., Levy, J. S. & Marchant, D. R. Don Juan Pond, Antarctica: Near-surface CaCl2-brine feeding Earth’s most saline lake and implications for Mars. Sci. Rep. 3, 1166 (2013).

    ADS  Article  PubMed  PubMed Central  Google Scholar 

  12. 12.

    Doran, P. T., Fritsen, C. H., McKay, C. P., Priscu, J. C. & Adams, E. E. Formation and character of an ancient 19-m ice cover and underlying trapped brine in an “ice-sealed” east Antarctic lake. Proc. Natl. Acad. Sci. USA 100, 26–31 (2002).

    ADS  Article  PubMed  PubMed Central  Google Scholar 

  13. 13.

    Dugan, H. A. et al. Subsurface imaging reveals aquiferbeneath an ice-sealed Antarctic lake. Geophys. Res. Lett. 42, 96–103 (2014).

    ADS  Article  Google Scholar 

  14. 14.

    Forte, E., Dalle Fratte, M., Azzaro, M. & Guglielmin, M. Pressurized brines in continental Antarctica as a possible analogue of Mars. Sci. Rep. 6, 33158 (2016).

    ADS  CAS  Article  PubMed  PubMed Central  Google Scholar 

  15. 15.

    Mikucki, J. A. et al. Deep groundwater and potential subsurface habitats beneath an Antarctic dry valley. Nat. Commun. 6, 6831 (2015).

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  16. 16.

    Murray, A. E. et al. Microbial life at −13 °C in the brine of an ice-sealed Antarctic lake. Proc. Natl. Acad. Sci. USA 109, 2–7 (2012).

    Article  Google Scholar 

  17. 17.

    Siegert, M. J. & Kennicutt, M. C. Antarctic Subglacial Aquatic Environments. (2013).

  18. 18.

    Chan, K., Grima, C., Blankenship, D. D., Young, D. A. & Soderlund, K. M. Mobilization of Near-Surface Brine on Europa. in LPI Contrib. No. 2048 (Europa Deep Dive I, 2017).

  19. 19.

    Martín-Torres, F. J. et al. Transient liquid water and water activity at Gale crater on Mars. Nat. Geosci. 8, 357–361 (2015).

    ADS  Article  Google Scholar 

  20. 20.

    Bowman, J. P. & Nichols, D. S. Novel members of the family Flavobacteriaceae from Antarctic maritime habitats including Subsaximicrobium wynnwilliamsii gen. nov., sp. nov., Subsaximicrobium saxinquilinus sp. nov., Subsaxibacter broadyi gen. nov., sp. nov., Lacinutrix copepodicola gen. Int. J. Syst. Evol. Microbiol. 55, 1471–1486 (2005).

    CAS  Article  PubMed  Google Scholar 

  21. 21.

    Mikucki, J. A. & Priscu, J. C. Bacterial diversity associated with blood falls, a subglacial outflow from the Taylor Glacier, Antarctica. Appl. Environ. Microbiol. 73, 4029–4039 (2007).

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  22. 22.

    Mikucki, J. A. et al. A Contemporary Microbially Maintained Subglacial Ferrous ‘Ocean’. Science (80-). 397, 397–400 (2009).

    Article  Google Scholar 

  23. 23.

    Peeters, K., Hodgson, D. A., Convey, P. & Willems, A. Culturable Diversity of Heterotrophic Bacteria in Forlidas Pond (Pensacola Mountains) and Lundstr?m Lake (Shackleton Range), Antarctica. Microb. Ecol. 62, 399–413 (2011).

    Article  PubMed  Google Scholar 

  24. 24.

    Kuhn, E. et al. Brine assemblages of ultrasmall microbial cells within the ice cover of Lake Vida, Antarctica. Appl. Environ. Microbiol. 80, 3687–3698 (2014).

    Article  PubMed  PubMed Central  Google Scholar 

  25. 25.

    Torstensson, A. et al. Physicochemical control of bacterial and protist community composition and diversity in Antarctic sea ice. Environ. Microbiol. 17, 3869–3881 (2015).

    Article  PubMed  Google Scholar 

  26. 26.

    Tregoning, G. S. et al. A halophilic bacterium inhabiting the warm, CaCl2-rich brine of the perennially ice-covered Lake Vanda, McMurdo Dry Valleys, Antarctica. Appl. Environ. Microbiol. 81, 1988–1995 (2015).

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  27. 27.

    Liu, C., Wang, X., Wang, X. & Sun, C. Acclimation of Antarctic Chlamydomonas to the sea-ice environment: a transcriptomic analysis. Extremophiles 20, 437–450 (2016).

    CAS  Article  PubMed  Google Scholar 

  28. 28.

    Kriss, A. E., Mitskevich, I. N., Rozanova, E. P. & Osnitskaia, L. K. Microbiological studies of the Wanda Lake (Antarctica). Mikrobiologiia 45, 1075–1081 (1976).

    CAS  PubMed  Google Scholar 

  29. 29.

    Nishikawa, J. & Ashima, H. N. A. G. Characterization and Habitats of Bacteria and Yeasts. Habitat 190–200 (1990).

  30. 30.

    Whitaker, R. J., Grogan, D. W. & Taylor, J. W. Geographic Barriers Isolate Endemic Populations of Hyperthermophilic Archaea. Science (80-.). 301, 976–978 (2003).

    ADS  CAS  Article  Google Scholar 

  31. 31.

    Alexander, E. et al. Microbial eukaryotes in the hypersaline anoxic L’Atalante deep-sea basin. Environ. Microbiol. 11, 360–381 (2009).

    CAS  Article  PubMed  Google Scholar 

  32. 32.

    Yakimov, M. M. et al. Microbial life in the Lake Medee, the largest deep-sea salt-saturated formation. Sci. Rep. 3, 3554 (2013).

    Article  PubMed  PubMed Central  Google Scholar 

  33. 33.

    Borin, S. et al. Sulfur cycling and methanogenesis primarily drive microbial colonization of the highly sulfidic Urania deep hypersaline basin. Proc. Natl. Acad. Sci. USA 106, 9151–9156 (2009).

    ADS  CAS  Article  PubMed  PubMed Central  Google Scholar 

  34. 34.

    Zhang, X. Y., Tang, G. L., Xu, X. Y., Nong, X. H. & Qi, S. H. Insights into deep-sea sediment fungal communities from the East Indian ocean using targeted environmental sequencing combined with traditional cultivation. PLoS One 9 (2014).

  35. 35.

    Burgaud, G. et al. Effects of hydrostatic pressure on yeasts isolated from deep-sea hydrothermal vents. Res. Microbiol. 166, 700–709 (2015).

    Article  PubMed  Google Scholar 

  36. 36.

    López-García, P. et al. Bacterial diversity in hydrothermal sediment and epsilonproteobacterial dominance in experimental microcolonizers at the Mid-Atlantic Ridge. Environ. Microbiol. 5, 961–976 (2003).

    Article  PubMed  Google Scholar 

  37. 37.

    Singh, P., Raghukumar, C., Verma, P. & Shouche, Y. Assessment of fungal diversity in deep-sea sediments by multiple primer approach. World J. Microbiol. Biotechnol. 28, 659–667 (2012).

    CAS  Article  PubMed  Google Scholar 

  38. 38.

    Edgcomb, V. et al. Protistan community patterns within the brine and halocline of deep hypersaline anoxic basins in the eastern Mediterranean Sea. Extremophiles 13, 151–167 (2009).

    Article  PubMed  Google Scholar 

  39. 39.

    Vishniac, H. S. In Biodiversity and ecophysiology of yeasts (eds Rosa, C. & Gabor, P.) 419–440 (Springer, 2006).

  40. 40.

    Timling, I., Walker, D. A., Nusbaum, C., Lennon, N. J. & Taylor, D. L. Rich and cold: Diversity, distribution and drivers of fungal communities in patterned-ground ecosystems of the North American Arctic. Mol. Ecol. 23, 3258–3272 (2014).

    CAS  Article  PubMed  Google Scholar 

  41. 41.

    Bass, D. et al. Yeast forms dominate fungal diversity in the deep oceans. Proc. R. Soc. B Biol. Sci. 274, 3069–3077 (2007).

    CAS  Article  Google Scholar 

  42. 42.

    Fell, J. W. In Yeast in marine environments (eds. Jones, E. B. G. & Pang, K.-L.) 91–102 (2012).

  43. 43.

    Zajc, J., Zalar, P. & Gunde-Cimerman, N. In Yeasts in Natural Ecosystems: Diversity (eds Buzzini, P., Lachance, M.-A. & Yurkov, A.) 293–329, (Springer International Publishing, 2017).

  44. 44.

    Wijayawardene, N. N. et al. Notes for genera: Ascomycota. Fungal Divers. 86, 1–594 (2017).

    Article  Google Scholar 

  45. 45.

    Amano, K. Host Range and Geographical Distribution of the Powdery Mildew Fungi. Japan Scientific Societies Press, Tokyo, Japan. (Japan Scientific Societies Press, 1986).

  46. 46.

    Matsuda, S. & Takamatsu, S. Evolution of host-parasite relationships of Golovinomyces (Ascomycete: Erysiphaceae) inferred from nuclear rDNA sequences. Mol. Phylogenet. Evol. 27, 314–327 (2003).

    CAS  Article  PubMed  Google Scholar 

  47. 47.

    Pearce, D. A. et al. Microorganisms in the atmosphere over Antarctica. FEMS Microbiol. Ecol. 69, 143–157 (2009).

    CAS  Article  PubMed  Google Scholar 

  48. 48.

    Vincent, W. F. Evolutionary origins of Antarctic microbiota: invasion, selection and endemism. Antarct. Sci. 12, 374–385 (2000).

    ADS  Article  Google Scholar 

  49. 49.

    Zucconi, L. et al. Searching for eukaryotic life preserved in Antarctic permafrost. Polar Biol. 35, 749–757 (2012).

    Article  Google Scholar 

  50. 50.

    Rennó, N. O. et al. Possible physical and thermodynamical evidence for liquid water at the Phoenix landing site. J. Geophys. Res. E Planets 114, 1–11 (2009).

    Article  Google Scholar 

  51. 51.

    Levy, J. Hydrological characteristics of recurrent slope lineae on Mars: Evidence for liquid flow through regolith and comparisons with Antarctic terrestrial analogs. Icarus 219, 1–4 (2012).

    ADS  Article  Google Scholar 

  52. 52.

    Martínez, G. M. & Renno, N. O. Water and brines on mars: Current evidence and implications for MSL. Space Sci. Rev. 175, 29–51 (2013).

    ADS  Article  Google Scholar 

  53. 53.

    Wentworth, S. J., Gibson, E. K., Velbel, M. A. & McKay, D. S. Antarctic Dry Valleys and indigenous weathering in Mars meteorites: Implications for water and life on Mars. Icarus 174, 383–395 (2005).

    ADS  CAS  Article  Google Scholar 

  54. 54.

    Perreault, N. N., Andersen, D. T., Pollard, W. H., Greer, C. W. & Whyte, L. G. Characterization of the prokaryotic diversity in cold saline perennial springs of the Canadian high arctic. Appl. Environ. Microbiol. 73, 1532–1543 (2007).

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  55. 55.

    Onstott, T. C. et al. Microbial communities in subpermafrost saline fracture water at the Lupin Au mine, Nunavut, Canada. Microb. Ecol. 58, 786–807 (2009).

    CAS  Article  PubMed  Google Scholar 

  56. 56.

    Boston, P. J., Ivanov, M. V. & McKay, P. C. On the possibility of chemosynthetic ecosystems in subsurface habitats on Mars. Icarus 95, 300–308 (1992).

    ADS  CAS  Article  PubMed  Google Scholar 

  57. 57.

    Monaghan, A. J., Bromwich, D. H. & Wang, S.-H. Recent trends in Antarctic snow accumulation from Polar MM5 simulations. Philos. Trans. R. Soc. A Math. Phys. Eng. Sci. 364, 1683–1708 (2006).

    ADS  Article  Google Scholar 

  58. 58.

    Grigioni, P., De Silvestri, L., Pellegrini, A. & Sarao, L. In Italian Research on AntarcticAtmosphere (eds. Colacino, M., Giovanelli, G. & Stefanutti, L.) (1992).

  59. 59.

    Guglielmin, M., Dalle Fratte, M. & Cannone, N. Permafrost warming and vegetation changes in continental Antarctica. Environ. Res. Lett. 9, 45001 (2014).

    Article  Google Scholar 

  60. 60.

    Tedersoo, L. et al. Shotgun metagenomes and multiple primer pair-barcode combinations of amplicons reveal biases in metabarcoding analyses of fungi. MycoKeys 10, 1–43 (2015).

    Article  Google Scholar 

  61. 61.

    Zhang, J., Kobert, K., Flouri, T. & Stamatakis, A. PEAR: A fast and accurate Illumina Paired-End reAd mergeR. Bioinformatics 30, 614–620 (2014).

    CAS  Article  PubMed  Google Scholar 

  62. 62.

    Caporaso, J. G. et al. QIIME allows analysis of high-throughput community sequencing data. Nat. Methods 7, 335–336 (2010).

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  63. 63.

    Rognes, T., Flouri, T., Nichols, B., Quince, C. & Mahé, F. VSEARCH: a versatile open source tool for metagenomics. PeerJ 4, e2584 (2016).

    Article  PubMed  PubMed Central  Google Scholar 

  64. 64.

    Abarenkov, K. et al. The UNITE database for molecular identification of fungi - recent updates and future perspectives. New Phytol. 186, 281–285 (2010).

    Article  PubMed  Google Scholar 

  65. 65.

    R Core Team. R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. at, (2013).

  66. 66.

    Oksanen, J. et al. The vegan package. Community Ecol. Packag. 10, 631–637 (2007).

    Google Scholar 

  67. 67.

    Oliveros, J. C. An interactive tool for comparing lists with Venn Diagrams. at, (2007).

  68. 68.

    Edgar, R. C. MUSCLE: a multiple sequence alignment method with reduced time and space complexity. BMC Bioinformatics 5, 113 (2004).

    Article  PubMed  PubMed Central  Google Scholar 

  69. 69.

    Edgar, R. C. MUSCLE: Multiple sequence alignment with high accuracy and high throughput. Nucleic Acids Res. 32, 1792–1797 (2004).

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  70. 70.

    Price, M. N., Dehal, P. S. & Arkin, A. P. FastTree 2 - Approximately maximum-likelihood trees for large alignments. PLoS One 5 (2010).

  71. 71.

    Letunic, I. & Bork, P. Interactive tree of life (iTOL)v3: an online tool for the display and annotation of phylogenetic and other trees. Nucleic Acids Res. 44, W242–W245 (2016).

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  72. 72.

    Lozupone, C. & Knight, R. UniFrac: a New Phylogenetic Method for Comparing Microbial Communities UniFrac: a New Phylogenetic Method for Comparing Microbial Communities. Appl. Environ. Microbiol. 71, 8228–8235 (2005).

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  73. 73.

    Martin, A. P. Phylogenetic Approaches for Describing and Comparing the Diversity of Microbial Phylogenetic Approaches for Describing and Comparing the Diversity of Microbial Communities. DNA Seq. 68, 3673–3682 (2002).

    CAS  Google Scholar 

Download references


The authors are grateful to all of the staff at “Mario Zucchelli” Station for the logistic help and support, which made possible the expedition. This research was supported by grants from the National Antarctic Research Program (PNRA), Italian Ministry of Education and Research (Research Project PNRA AZ/1.05) and from the National Antarctic Museum (MNA). The authors thank Samuel Senoner (eurac/unibz) for IT technical support. The computational results presented have been achieved [in part] using the Vienna Scientific Cluster (VSC).

Author information




L.B. and C.S. carried out DNA extraction, bioinformatics and statistical analyses; D.B. carried out chemical analyses; M.A. and M.G. sampled the brines; L.B., C.S., L.S., L.Z. and P.B. drafted and discussed the taxonomic and phylogenetic analysis; B.T., P.B. and M.G. designed the study; all authors reviewed, improved and approved the manuscript.

Corresponding author

Correspondence to Pietro Buzzini.

Ethics declarations

Competing Interests

The authors declare no competing interests.

Additional information

Publisher's note: Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Electronic supplementary material

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Borruso, L., Sannino, C., Selbmann, L. et al. A thin ice layer segregates two distinct fungal communities in Antarctic brines from Tarn Flat (Northern Victoria Land). Sci Rep 8, 6582 (2018).

Download citation

Further reading


By submitting a comment you agree to abide by our Terms and Community Guidelines. If you find something abusive or that does not comply with our terms or guidelines please flag it as inappropriate.


Quick links

Nature Briefing

Sign up for the Nature Briefing newsletter — what matters in science, free to your inbox daily.

Get the most important science stories of the day, free in your inbox. Sign up for Nature Briefing