DNA metabarcoding of fungal diversity in air and snow of Livingston Island, South Shetland Islands, Antarctica

Abstract

We assessed fungal diversity present in air and freshly deposited snow samples obtained from Livingston Island, Antarctica, using DNA metabarcoding through high throughput sequencing (HTS). A total of 740 m³ of air were pumped through a 0.22 µm membrane. Snow obtained shortly after deposition was kept at room temperature and yielded 3.760 L of water, which was filtered using Sterivex membranes of 0.22 µm mesh size. The total DNA present was extracted and sequenced. We detected 171 fungal amplicon sequence variants (ASVs), 70 from the air and 142 from the snow. They were dominated by the phyla Ascomycota, Basidiomycota, Mortierellomycota and Mucoromycota. Pseudogymnoascus, Cladosporium, Mortierella and Penicillium sp. were the most dominant ASVs detected in the air in rank order. In snow, Cladosporium, Pseudogymnoascus, Penicillium, Meyerozyma, Lecidea, Malassezia, Hanseniaspora, Austroplaca, Mortierella, Rhodotorula, Penicillium, Thelebolus, Aspergillus, Poaceicola, Glarea and Lecanora were the dominant ASVs present. In general, the two fungal assemblages displayed high diversity, richness, and dominance indices, with the assemblage found in snow having the highest diversity indices. Of the total fungal ASVs detected, 29 were only present in the air sample and 101 in the snow sample, with only 41 present in both samples; however, when only the dominant taxa from both samples were compared none occurred only in the air and, among the rare portion, 26 taxa occurred in both air and snow. Application of HTS revealed the presence of a more diverse fungal community in the air and snow of Livingston Island in comparison with studies using traditional isolation methods. The assemblages were dominated by cold-adapted and cosmopolitan fungal taxa, including members of the genera Pseudogymnoascus, Malassezia and Rhodotorula, which include some taxa reported as opportunistic. Our results support the hypothesis that the presence of microbiota in the airspora indicates the possibility of dispersal around Antarctica in the air column. However, further aeromycology studies are required to understand the dynamics of fungal dispersal within and beyond Antarctica.

Introduction

Antarctica represents one of the most pristine regions of the planet and, despite the multiple extreme conditions that characterize it, harbours a considerable terrestrial biodiversity, mainly of microorganisms, that are able to survive and colonize its different environments. Due the continent’s isolation from lower latitudes by the oceanic Antarctic Circumpolar Current and atmospheric circulation, the lack of trophic complexity, and the vulnerability of its endemic biodiversity to environmental changes and anthropogenic influences, Antarctica provides a unique opportunity for microbial aerobiology studies seeking to understand how airspora are transported to and within Antarctica^1,2. The extent to which Antarctic environments receive microbial propagules, potentially including globally cosmopolitan species from outside Antarctica, remains largely unstudied, although they have been detected in the air column and after deposition, for instance in snow and ice^3–7. According to Archer et al.², microbial communities present in ecosystems of isolated regions of Antarctica, such as the Victoria Land Dry Valleys, display limited connectivity to the global microbial pool due the strong selection that occurs during atmospheric transport, resulting in regionally isolated airborne inputs and highly specialized soil communities, with fungi also displaying greater isolation from non-polar sources than bacteria. However, detailed information about the aerial routes by which microorganisms arrive and circulate in Antarctica is lacking^8,9.

Biological dispersal by aerial means can be an important factor shaping patterns of biodiversity^9,10. Viable organisms or their propagules present in the air column may be in dormant and cryptobiotic states, where they are metabolically inactive due the harsh dry, cold, low nutrient and high irradiance conditions. Diverse groups of microorganisms have been recorded in the few Antarctic aerobiological studies completed to date (reviewed by Pearce et al.⁹), including viruses, bacteria, microalgae and fungi.

Mycological studies in Antarctica have shown that much of the Antarctic fungal community is represented by cold tolerant (psychrophilic or psychrotolerant) species, many of which have wide and even globally cosmopolitan distributions, with presence in polar, temperate, and tropical environments¹¹. de Menezes et al.¹² suggested that the high densities of cosmopolitan fungi present in snow are consistent with them being present in air masses arriving at the Antarctic Peninsula from beyond Antarctica, which are then entrained in snow precipitation, and become concentrated in the snow. Snow and ice can provide an indirect record of the presence and deposition of fungal propagules (e.g. spores or hyphal fragments) from the air column over time¹². In snow samples obtained from six different regions of the Antarctic Peninsula, de Menezes et al.¹³ reported a rich fungal diversity assigned to 51 species in 26 genera and dominated by cold tolerant cosmopolitan fungi. However, in ice from continental Antarctica and the Antarctic Peninsula, Rogers et al.¹⁴ and de Menezes et al.¹⁵, respectively, reported much lower fungal diversity. In the present study, we assessed fungal diversity present in air and freshly deposited snow samples obtained from Livingston Island, Antarctica, using DNA metabarcoding through high-throughput sequencing (HTS).

Material and methods

Snow and air sampling

Air and snow samples were collected at Punta Polaca (62°40′16″ S; 60°22′43″ W), Hurd Peninsula, Livingston Island, South Shetland Islands, near to the Spanish station Juan Carlos I (Fig. 1). Two air samples were collected with a high flow glass impinger following Šantl-Temkiv et al.^16,17. The chamber was filled with 2 L of sampling liquid (ddH₂O) and the sampler was run for 5 min, so that the liquid came in contact with the entire chamber, after which 0.5 L of the sampling liquid was removed, stored as a control, and analyzed along with the samples. The control represented a field blank to certify that the samples were not contaminated by external organisms. The resulting solution was filtered directly on the Sterivex filter units for the air, as described by Lever et al.¹⁸. Air was collected over c. 5 h on March 11th 2019. In addition, the two separate air DNA extractions were combined together in order to increase DNA yield. Two freshly deposited snow samples were collected on March 20^th 2019 at the same site using a sterilized shovel. Both pairs of samples were separately combined in order to increase DNA yield. Snow was melted at room temperature, under strictly sterile conditions, for 24 h in the laboratory at Juan Carlos I Station and then filtered using Sterivex filters¹⁸.

Figure 1.

Location of soil sample collections. (a) Antarctic Peninsula, (b) Livingston Island and (c) Punta Polaca at Hurd Peninsula, where the air and snow were sampled [62°40′16″ S; 60°22′43″ W]. Photo (c) by T Šantl-Temkiv.

DNA extraction and data analysis

Total DNA was extracted from environmental samples using the Qiagen Power Soil Kit (Qiagen, USA) following the manufacturer’s instructions. Extracted DNA was used as template for generating PCR amplicons. The internal transcribed spacer 2 (ITS2) of the nuclear ribosomal DNA was used as a DNA barcode for molecular species identification^19,20. PCR amplicons were generated using the universal primers ITS3 and ITS4²¹ and were sequenced by high-throughput sequencing at Macrogen Inc. (South Korea) on an Illumina MiSeq sequencer, using the MiSeq Reagent Kit v3 (600-cycle) following the manufacturer’s protocol.

Raw fastq files were filtered using BBDuk version 38.34 (BBMap—Bushnell B.—sourceforge.net/projects/bbmap/) to remove Illumina adapters, known Illumina artifacts, and PhiX Control v3 Library. Quality read filtering was carried out using Sickle version 1.33-q 30-l 50²², to trim ends 3′ or 5′ with low Phred quality score. Sequences shorter than 50 bases were discarded. These sequences were imported to QIIME2 version 2019.10 (https://qiime2.org/) for bioinformatics analyses²³. The qiime2-dada2 plugin is a complete pipeline that was used for filtering, dereplication, turning paired-end fastq files into merged reads, and removal of chimeras²⁴. Taxonomic assignment was carried out for the amplicon sequence variants (ASVs) using qiime2-feature-classifier²⁵ classify-sklearn against the UNITE fungal ITS database version 7.2²⁶ and trained with Naive Bayes classifier. A confidence threshold of 98.5% was used. All raw sequences have been deposited in the NCBI database under the codes SRR12830238, SRR12830240 and SRR12830239.

Many factors, including extraction, PCR, and primer bias, can affect the number of reads²⁷, and thus lead to misinterpretation of abundance²⁸. However, Giner et al.²⁹ concluded that such biases did not affect the proportionality between reads and cell abundance, implying that more reads are linked with higher abundance^29,30. Therefore, for comparative purposes we used the number of reads as a proxy for relative abundance.

All sequences obtained from air and snow samples were matched with sequences present in the list of the top 50 ‘most wanted’ fungi according to Nilsson et al.³¹. The sequences were merged, filtered, dereplicated, and clustered into > 97% identity ASVs using USEARCH version 10³². Nucleotide-Nucleotide BLAST 2.6.0 + was used to compare these ASVs against the top50_release_04.02.2020.fasta³³, considering just subject matches with aligned length longer than 250 bp and > 98% identity.

Fungal diversity and distribution

To quantify species diversity, richness, and dominance, we used the following indices: (i) Fisher’s α, (ii) Margalef’s, and (iii) Simpson’s, respectively. The numbers of DNA reads of the amplicon sequence variants (ASVs) were used to quantify the fungal taxa present in the air sampled, where fungal ASVs with more than 1,000 reads were considered dominant and < 1,000 minor components (rare) of the fungal community. All of the results were obtained with 95% confidence, and bootstrap values were calculated from 1,000 iterations. Taxon species accumulation curves were obtained using the Mao Tao index. All diversity indices and species accumulation curves calculations were performed using PAST v. 1.90³⁴. Venn diagrams were prepared according to Bardou et al.³⁵ to compare the fungal assemblages present in both air and snow samples. The functional assignments of fungal ASVs at species and genera levels are shown using FunGuild³⁶.

Results

Fungal taxonomy

The number of reads in the air sample was 162,038 and that in snow 268,710. From these, we detected 171 fungal amplicon sequence variants (ASVs), 70 in 740 m³ of air and 142 in 3.76 L of snow from Livingston Island, Antarctica (Table 1; Fig. 2). The ASVs were dominated by the phyla Ascomycota, Basidiomycota and Mortierellomycota. In the air sample, ASVs identified as Pseudogymnoascus roseus, Cladosporium sp., Mortierella sp. 1, Pseudogymnoascus sp. 3, Pseudogymnoascus sp. 2, Mortierella fimbricystis, Mortierella gamsii and Penicillium sp. were the most dominant taxa (all with > 1,000 reads), in rank order. In contrast, 27 fungal ASVs (Cladosporium sp., Pseudogymnoascus roseus, Penicillium sp., Meyerozyma guilliermondii, Lecidea sp., Malassezia restricta, Pseudogymnoascus sp. 3, Hanseniaspora lachancei, Pseudogymnoascus sp. 2, Austroplaca darbishirei, Mortierella gamsii, Malassezia globosa, Rhodotorula diobovata, Mortierella sp. 1, Ascomycota sp., Mortierella fimbricystis, Penicillium polonicum, Lecanorales sp., Thelebolus sp., Lecidea cancriformis, Aspergillus sp., Poaceicola agrostina, Glarea sp., Pseudogymnoascus sp. 1, Mortierella sp. 2, Thelebolus globosus and Lecanora physciella) were present as dominant fungi in snow. A further 177 ASVs (62 in air and 115 in snow) were detected less frequently (< 1,000 reads) and may represent the rare portion of the fungal assemblages. In addition, 78 ASVs could only be assigned to higher taxonomic levels (phylum, class, order or family). A total of 29,069 sequences from the air and 6,223 from the snow samples were matched with the sequences of 11 unidentified species hypotheses in the list of the top 50 most wanted fungi³¹ with the alignment length longer than 250 bp and > 98% identity (Suppl. Table 1).

Table 1.

Numbers of sequence reads of fungal amplicon sequence variants (ASVs) detected in air and snow samples from Livingston Island, South Shetlands, Antarctica.

Hierarchical level	Fungal taxa (ASVs)*	Reference sequences	Reads by Samples		Total
			Air	Snow
Fungi	Fungi sp.		39**	20,958	20,997
Ascomycota	Pseudogymnoascus roseus	SH1557165.08FU	61,935	0	61,935
	Cladosporium sp.	SH1521536.08FU	20,801	0	20,801
	Pseudogymnoascus sp.	SH1557215.08FU	2,035	1,5650	17,685
	Meyerozyma sp.	SH1516625.08FU	0	1,5735	15,735
	Penicillium sp.	SH1530043.08FU	431	9,385	9,816
	Lecidea cancriformis	SH2711223.08FU	0	6,781	6,781
	Hanseniaspora sp.	SH1547214.08FU	0	4,708	4,708
	Austroplaca darbishirei	SH1633428.08FU	0	3,165	3,165
	Thelebolus globosus	SH1647628.08FU	271	1,614	1,885
	Helotiales sp.	SH1648813.08FU	1,075	404	1,479
	Penicillium polonicum	SH1529888.08FU	0	1,233	1,233
	Pseudogymnoascus appendiculatus	SH1939321.08FU	1138	0	1,138
	Septoriella sp.	SH1525156.08FU	0	902	902
	Lecanora physciella	SH1636780.08FU	0	738	738
	Cyberlindnera sp.	SH1648567.08FU	571	0	571
	Mitrulinia sp.	SH1574181.08FU	0	482	482
	Cleistothelebolus nipigonensis	SH1630064.08FU	0	433	433
	Chalara pseudoaffinis	SH1522386.08FU	368	0	368
	Pestalotiopsis sp.	SH1562655.08FU	0	364	364
	Neoascochyta paspali	SH1547057.08FU	329	4	333
	Paraconiothyrium africanum	SH1525457.08FU	0	331	331
	Debaryomyces sp.	SH1516581.08FU	62	251	313
	Phaeoacremonium hungaricum	SH1644597.08FU	0	287	287
	Lecidea sp.	SH1524770.08FU	0	277	277
	Colletotrichum sp.	SH1636843.08FU	186	90	276
	Rhizoscyphus sp.	SH1543082.08FU	169	103	272
	Aspergillus sp.	SH1536361.08FU	0	249	249
	Schwanniomyces polymorphus	SH1649127.08FU	0	244	244
	Septoriella hirta	SH2714710.08FU	0	225	225
	Ascomycota sp.	SH1574206.08FU	123	82	205
	Penicillium fluviserpens	SH1536160.08FU	0	199	199
	Saccharomyces cerevisiae	SH1583301.08FU	0	193	193
	Aspergillus niger	SH3322875.08FU	0	183	183
	Volucrispora graminea	SH1605412.08FU	0	154	154
	Aspergillus sydowii	SH1550060.08FU	38	113	151
	Penicillium steckii	SH1692788.08FU	0	150	150
	Leptosphaeria sclerotioides	SH1624038.08FU	147	0	147
	Leotiomycetes sp.	SH1647738.08FU	136	0	136
	Pseudallescheria sp.	SH2328594.08FU	0	132	132
	Buellia russa	SH1551132.08FU	0	130	130
	Chaetothyriales sp.	SH1545109.08FU	0	129	129
	Penicillium brasilianum	SH1692798.08FU	0	123	123
	Phaeosphaeria dennisiana	SH1530704.08FU	120	0	120
	Pseudallescheria ellipsoidea	SH2328455.08FU	0	112	112
	Lodderomyces elongisporus	SH1507873.08FU	103	0	103
	Candida tropicalis	SH1542296.08FU	101	0	101
	Yamadazyma sp.	SH1539910.08FU	101	0	101
	Trichoderma sp.	SH1542292.08FU	0	91	91
	Didymellaceae sp.	SH1547074.08FU	82	0	82
	Penicillium paxilli	SH1530009.08FU	8	73	81
	Parmeliaceae sp.	SH1541255.08FU	71	0	71
	Paraphoma fimeti	SH1616190.08FU	0	70	70
	Colletotrichum annellatum	SH2219599.08FU	0	67	67
	Polysporina subfuscescens	SH1596449.08FU	0	67	67
	Pseudeurotium sp.	SH3332798.08FU	67	0	67
	Dermateaceae sp.	SH1522957.08FU	66	0	66
	Penicillium astrolabium	SH1530010.08FU	0	66	66
	Cladosporium halotolerans	SH1525346.08FU	37	27	64
	Diaporthales sp.	SH1657193.08FU	64	0	64
	Lecanoromycetes sp.	SH1517968.08FU	0	60	60
	Lecanora contractula	SH1527996.08FU	0	55	55
	Ramalinaceae sp.	SH1522446.08FU	0	51	51
	Cystodendron sp.	SH1524864.08FU	50	0	50
	Penicillium cairnsense	SH2190109.08FU	0	50	50
	Cladonia rei	SH3326345.08FU	49	0	49
	Neodevriesia capensis	SH3331962.08FU	0	49	49
	Neopestalotiopsis sp.	SH3324784.08FU	49	0	49
	Penicillium sumatraense	SH1585145.08FU	9	37	46
	Mycosphaerella tassiana	SH1607937.08FU	0	44	44
	Pseudeurotiaceae sp.	SH1556184.08FU	44	0	44
	Fusarium solani	SH2721166.08FU	43	0	43
	Placopsis contortuplicata	SH1521544.08FU	0	40	40
	Schwanniomyces sp.	SH2154634.08FU	38	0	38
	Bacidina arnoldiana	SH3321741.08FU	0	28	28
	Penicillium citrinum	SH1539276.08FU	15	13	28
	Zymoseptoria verkleyi	SH1544001.08FU	21	0	21
	Sarocladium sp.	SH1542060.08FU	17	0	17
	Aspergillus penicillioides	SH1537266.08FU	16	0	16
	Pichia kluyveri	SH1527730.08FU	16	0	16
	Botryosphaeriaceae sp.	SH3317647.08FU	0	6	6
	Fusarium asiaticum	SH2456121.08FU	0	4	4
	Usnea sp.	SH1550545.08FU	0	3	3
Basidiomycota	Malassezia restricta	SH2734004.08FU	401	4,740	5,141
	Malassezia globosa	SH1565779.08FU	165	2,946	3,111
	Rhodotorula diobovata	SH1585138.08FU	0	3,060	3,060
	Agaricomycetes sp.	SH1575746.08FU	0	2,581	2,581
	Malassezia sp.	SH1546915.08FU	22	1,548	1,570
	Marasmius sp.	SH1514868.08FU	912	0	912
	Rhodotorula mucilaginosa	SH1558606.08FU	750	120	870
	Leucosporidiella creatinivora	SH1651377.08FU	404	0	404
	Heterochaete shearii	SH1561152.08FU	75	259	334
	Malasseziales sp.	SH1547455.08FU	46	266	312
	Calyptella capula	SH1635872.08FU	0	170	170
	Pluteus ephebeus	SH2724840.08FU	158	0	158
	Malassezia equina	SH2723257.08FU	0	95	95
	Vishniacozyma victoriae	SH1572254.08FU	94	0	94
	Phanerochaete sordida	SH1573517.08FU	83	0	83
	Hyphodontia microspora	SH1651385.08FU	82	0	82
	Peniophora laxitexta	SH1646415.08FU	56	0	56
	Gymnopus sp.	SH1560298.08FU	50	0	50
	Vishniacozyma tephrensis	SH1691243.08FU	48	0	48
	Microbotryomycetes sp.	SH2750674.08FU	40	0	40
	Vanrija humicola	SH1514178.08FU	30	0	30
	Basidiomycota sp.	SH1514435.08FU	0	19	19
	Polyporales sp.	SH1651381.08FU	15	0	15
	Malassezia sympodialis	SH3313592.08FU	0	12	12
Mortierellomycota	Mortierella sp.	SH1557435.08FU	5,878	744	6,622
	Mortierella fimbricystis	SH2452854.08FU	2,260	0	2,260
	Mortierella gamsii	SH1556972.08FU	1,416	155	1,571
	Mortierella parvispora	SH1629873.08FU	396	0	396
	Mortierella alpina	SH1503809.08FU	158	0	158
	Mortierella elongatula	SH1574597.08FU	0	74	74
	Mortierella turficola	SH3338068.08FU	0	56	56
Mucoromycota	Densospora sp.	SH3319965.08FU	0	145	145

*ASVs = amplicon sequence variants; **number of the reads.

Figure 2.

Krona chart of (a) fungal assemblages detected in the air and (b) in snow from Livingston Island, South Shetland Islands, Antarctica.

Fungal diversity

The Mao Tao rarefaction curves of the fungal assemblages present in air and snow reached asymptote for both fungal assemblages (Fig. 3), indicating that the data provided a good description of the diversity present. In general, both fungal assemblages displayed high diversity, richness, and dominance indices (Table 2). The assemblage present in the snow was more diverse, rich, and included a wider range of dominant fungi when compared with that from the air sample. Of the total fungal ASVs detected, 29 were only present in the air sample and 101 in the snow sample, with 41 present in both samples (Fig. 4a). However, when only the dominant ASVs (> 1,000 reads) from both samples were compared, none occurred only in the air (Fig. 4b) and, among the rare portion, 26 occurred in both air and snow (Fig. 4c). In addition, the ecological functional assignments of fungal ASVs in species and genera levels were showed in Suppl. Table 2 and Suppl. Table 3, respectively.

Figure 3.

Rarefaction curves for samples from fungal assemblages present in the (a) air and (b) snow on Livingston Island, South Shetlands, Antarctica. Blue lines represent confidence limits inferred using bootstrap values calculated from 1,000 iterations using PAST, version 1.90³⁴.

Table 2.

Sample data and ecological indices of the fungal DNA recovered from air and snow samples from Livingston Island, South Shetlands, Antarctica.

Ecological indices	Sample
	Air	Snow	Total
Number of reads	162,038	268,710	430,748
Number of taxa	70	142	171
Fisher α	6.96	14.44	16.85
Margalef	5.75	11.3	13
Simpson	0.6	0.92	0.85

Figure 4.

(a) Venn diagram showing the (a) total, (b) dominant (those with > 1,000 reads) and (c) rare fungal taxa distribution detected in air and snow of Livingston Island, South Shetlands, Antarctica.

Discussion

Fungal taxonomy and diversity

Despite an increase in mycological studies, fungal diversity in Antarctica remains poorly known¹¹. According to Bridge and Spooner³⁷, around 1,000 fungal species have been described from Antarctica, identified using a range of approaches including traditional methods for cultivable fungi such as macro- and/or micromorphology of colonies and fruiting bodies as well as DNA sequencing of mycelia of cultivable fungi. Most airborne mycological studies in Antarctica have relied on traditional morphological methods. Marshall⁴ monitored airborne fungal spores over 13.6 months at three sites on Signy Island (South Orkney Islands) in the maritime Antarctic, reporting that Epicoccum spp. and Cladosporium spp. dominated the diversity present. Duncan et al.³⁸ sampled air inside the historic wooden huts on Ross Island, finding Cladosporium cladosporioides, Pseudeurotium desertorum, Pseudogymnoascus sp. and Antarctomyces psychrotrophicus as dominant viable fungal propagules and Cadophora sp. and Thebolus sp. as minor components of the outdoor airborne fungal assemblage. Archer et al.² compared microbial diversity in near-ground and high-altitude air above the Victoria Land Dry Valleys as well as that of underlying soil microbial communities, finding basidiomycete yeasts to be dominant in the air and unclassified fungi to be common in soils. However, the more recent fungal inventories using metabarcoding approaches have demonstrated that fungal diversity in Antarctica is greater than previously recognised^39–41.

As air and snow are typically ultra-oligotrophic microhabitats, few viable fungal taxa are expected to be present, as reported by de Menezes et al.¹² who, using cultivation techniques, reported only 14 fungal taxa in snow samples from several different Antarctic islands. However, despite analysing only a small a small absolute sample size of air and snow collected in the Livingston Island, use of the HTS approach in the current study revealed the presence of much greater fungal diversity in both air and snow, many of which display mechanisms that render them well-adapted to survive atmospheric transport, such as the production of resistant spores and UV protective compounds^42,43.

The dominant taxa detected in the air included representatives of Pseudogymnoascus, Cladosporium, Mortierella and Penicillium. However, even though recently deposited snow would be expected to contain microbial airborne particles entrained from the air column as the snow fell, fungal diversity in the snow sampled was very different to that in the air over the same location. In snow sample, the dominant taxa found included representatives of Cladosporium, Pseudogymnoascus, Penicillium, Meyerozyma, Lecidea, Malassezia, Hanseniaspora, Austroplaca, Mortierella, Rhodotorula, Penicillium, Thelebolus, Aspergillus, Poaceicola, Glarea and Lecanora. The diversity present in both the air and snow samples also included dominant taxa that could only be assigned to higher taxonomic levels such as Fungal sp., Ascomycota sp., Basidiomycota sp., Agaricales sp., Chaetothyriales sp., Helotiales sp., Lecanorales sp. and Polyporales sp. These may represent currently undescribed or otherwise unsequenced species, further supporting the assertion that much of the true fungal diversity present in Antarctica is currently unknown.

Pseudogymnoascus were detected as dominant fungi in both air and snow samples. Pseudogymnoascus (previously known as Geomyces) is a genus often detected in cold environments including those of polar, alpine, and temperate regions^11,44–47. In Antarctica, it has been reported from soils^44,48–50, associated with plants^51–54 and macroalgae⁵⁵, in freshwater lakes⁵⁶, and associated with lichens⁵⁷. Cladosporium and Penicillium also represent common airborne fungi reported globally, including Antarctica. Cladosporium is a dematiaceous fungal group with global distribution⁵⁸. In Antarctic microhabitats, Cladosporium has mainly been detected in association with plants and soil¹¹. Penicillium is a ubiquitous genus, again detected in multiple substrates in Antarctica including soils^50,59,60, permafrost^61,62 and associated with macroalgae⁶³. The abundant presence of Pseudogymnoascus, Cladosporium, and Penicillium both in air and snow sampled indicated that these fungi may circulate at least around the Antarctic Peninsula.

The genus Mortierella includes about 85 species, which occur mainly in soils⁶⁴. Mortierella species are found worldwide, particularly in temperate and polar regions. Representatives of the genus are abundant in Antarctica and reported in association with plants^51,52, macroalgae⁶³, lichens⁵⁷, soils⁶⁵, freshwater⁵⁶, and permafrost⁶². Some species of Mortierella are known as snow moulds and have the capability to growth and produce spores at 0°C⁶⁶. They occur abundantly in the interstitial water in Antarctic snow where snow melting occurs in summer, for instance in association with snow algal communities.

The genus Malassezia includes 17 species of basidiomycetous pigmented black yeast species generally present in the skin and mucosa microbiome of humans and other warm-blooded animals⁶⁷. According to Prohic et al.⁶⁸, several Malassezia species found on human and animal skin are commensals, but they can also be associated with Pityriasis versicolor, Malassezia folliculitis, seborrheic dermatitis/dandruff, atopic dermatitis, and psoriasis. The detection of Malassezia in Antarctica is unusual. Rosa et al.⁵⁴ detected different Malassezia taxa in soil samples from undisturbed and disturbed (by human activity) sites on Deception Island (South Shetland Islands) using HTS metabarcoding techniques.

The genus Meyerozyma includes species that are typically widely distributed or cosmopolitan⁶⁹. Species of Meyerozyma have previously been isolated from aquatic environments in Antarctica^69,70 and associated with macroalgae⁶³. The genus Hanseniaspora (anamorph Kloeckera) includes ascomycete yeast species commonly associated with alcoholic fermentation, but is also recorded from soil, plants, fruit-eating insects, birds, and seafood⁷¹. Some Hanseniaspora species have been reported as unusual opportunistic superficial mycosis in humans^72–75.

The genus Rhodotorula includes cosmopolitan pigmented yeast species and is often dominant in extreme environments⁷⁶, including those of Antarctica^63,70. Our study represents the first report of high abundance of R. muscilagionsa in Antarctic snow samples, although de Menezes et al.¹³ reported the species among the dominant fungi detected in snow samples from several Antarctic islands. The genus Thelebolus is distributed globally and representatives occur in diverse habitats⁷⁷. Species of Thelebolus have been reported in Arctic and Antarctic environments^78,79, as being abundant in lakes, and in association with birds (skuas)⁸⁰, in freshwater^56,81 and in ice¹⁵. Finally, from the air and snow sampled in Livingston Island, Antarctica, we detected 11 unidentified species hypotheses in the list of the top 50 most wanted fungi³¹, suggesting the both habitats may shelter rare species that merit further taxonomic attention.

Conclusions

We used DNA metabarcoding to catalogue the fungi present in air and snow samples from Livingston Island, South Shetland Islands. This revealed a diverse fungal community comprising taxa from the phyla Ascomycota, Basidiomycota, Mortierellomycota and Mucoromycota. The assemblages were dominated by cold-adapted and cosmopolitan (psychrophilic) taxa, including members of the genera Pseudogymnoascus, Malassezia and Rhodotorula, which include taxa reported as opportunistic fungi. Our results confirm the presence of fungi in the airspora, supporting the possibility of dispersal over different geographical scales around Antarctica in the air column. Given that many of the taxa identified in this study are known from Antarctic fungal communities, a local source for those present in the air column is plausible. The large proportion of unassigned taxa highlight the poor level of baseline knowledge of Antarctic fungal diversity, and further aeromicrobiology and diversity studies are required to understand the dynamics of fungal dispersal within and beyond Antarctica. However, as metabarcoding detects environmental DNA, the technique can also detect DNA from dead fungi or otherwise non-viable material. Further studies will be necessary to develop strategies to isolate these fungi into culture.

Author contributions

L.H.R., P.E.A.S.C., T.S. conceived the study. L.H.R. and P.E.A.S.C. performed DNA extraction from snow and air. L.H.R., P.E.A.S.C., O.H.B.P., T.S., P.C., M.C.S., and C.A.R. analyzed the results and wrote the manuscript. All authors read and approved the final manuscript.

Competing interests

The authors declare no competing interests.

Supplementary Information

The online version contains supplementary material available at 10.1038/s41598-020-78630-6.