Microbial ecology of the cryosphere (glacial and permafrost habitats): current knowledge
- 1.9k Downloads
Microorganisms in cold ecosystems play a key ecological role in their natural habitats. Since these ecosystems are especially sensitive to climate changes, as indicated by the worldwide retreat of glaciers and ice sheets as well as permafrost thawing, an understanding of the role and potential of microbial life in these habitats has become crucial. Emerging technologies have added significantly to our knowledge of abundance, functional activity, and lifestyles of microbial communities in cold environments. The current knowledge of microbial ecology in glacial habitats and permafrost, the most studied habitats of the cryosphere, is reported in this review.
KeywordsPsychrophiles Permafrost Cryoconite Glacial Climate change Biodiversity
The largest fraction of the Earth’s biosphere is exposed to temperatures below 5 °C throughout the year. Cold ecosystems are highly diverse and range from high mountains to deep oceans, polar region, and subterranean caves. They include aquatic and terrestrial ecosystems such as the deep sea (90% of the ocean volume is at a temperature below 5 °C), sea ice, lake ice, snow and glacial environments, cold water lakes, permafrost, cold soils and cold deserts, and even the atmosphere and clouds.
In recent years, studies on microorganisms in cold habitats has been mainly focused on the Earth’s cryosphere, i.e., frozen ecosystems, which include glaciers, ice sheets, sea ice, lake ice, and frozen ground (permafrost) (e.g., Anesio et al. 2017; Boetius et al. 2015; Hotaling et al. 2017a; Jansson and Tas 2014; Martin and McMinn 2018) and a recognition of the cryosphere as one of the biomes on Earth has even been proposed (Anesio and Laybourn-Parry 2012). Indeed, since ecosystems in the cryosphere are especially sensitive to climate changes (Beniston et al. 2018; Bibi et al. 2018; Huss et al. 2017), as indicated by the worldwide retreat of glaciers and ice sheets as well as permafrost thawing, an understanding of the role and potential of microbial life in these habitats has become crucial. Additionally, frozen ecosystems are also of much interest as analogues of extraterrestrial habitats (Cheptsov et al. 2017; Garcia-Lopez and Cid 2017; Jansson and Tas 2014) and as rich sources of various tools of promising biotechnological potential (Margesin 2017; Collins and Margesin 2019).
A better understanding of the role of microbial life in cold habitats has recently been attained by the incorporation of emerging new technologies (Aliyu et al. 2017; Jansson and Baker 2016; Nikrad et al. 2016; Raymond-Bouchard and Whyte 2017). In particular, metagenomics, the analysis of collective genomes of a microbial community in an environmental sample which gives information on gene presence and thus functional potential, has enhanced our knowledge significantly. As an example, about 1400 metagenome datasets were recently identified from cold environments (Aliyu et al. 2017). Nevertheless, a major limitation with metagenomic approaches lies in the uncertainty of the origin of the microbial community DNA, whether from living, dormant, or dead cells (Prosser 2015). Therefore, other –omic technologies have been developed to complement metagenomics. Among these, analysis of gene expression and proteomic analysis gives more insights into the mechanisms and metabolisms of microorganisms in cold habitats. Metatranscriptomics, the analysis of mRNAs, provides information on the regulation and expression profiles of complex microbiomes (Marchesi and Ravel 2015) and the analysis of numerous cold environments has added significantly to our knowledge of active functional groups in cold habitats. Over 20 transcriptomes are available for microorganisms from various cold habitats (Raymond-Bouchard and Whyte 2017). Similarly, metaproteomics, the large-scale characterization of the entire protein complement of an environmental sample at a given time point, provides an in-depth understanding of the molecular basis of biological processes in a given environmental sample and has allowed for the identification of many proteins involved in microbial cold adaptation (Kawamoto et al. 2017; Marchesi and Ravel 2015). Further insights into microbial function and growth in cold habitats has also been provided by stable isotope probing (SIP), which is based on DNA labeling of actively dividing microorganisms and allows for the estimation of taxon-specific population dynamics (Koch et al. 2018). Finally, nanoSIP, the combination of nanoscale secondary ion mass spectrometry (nanoSIMS)-generated information with molecular visualization methods, enables linking of in situ function with microbial identity and gene expression (Nunez et al. 2018).
In this review, the current state of cryomicrobiology in the two most studied cold habitats of the past 5 years, i.e., glacial habitats and permafrost, is summarized. Since it is not possible to cover all studies, the focus is on those reported mainly in the past five years. Regarding methodologies, most of the studies indicated here involve –omics approaches; however, other techniques such as SIP, FISH, and in situ studies are also included when they have contributed to significant advancements in the field.
Psychrophilic lifestyle: molecular cold adaptation
Even the most extreme cold and frozen environments harbor enormously diverse and metabolically active microbial populations. Microorganisms in cold habitats (termed psychrophilic, cold-tolerant, or cold-adapted) face a number of challenges and often show multiple adaptations to the extremes (D'Amico et al. 2006). Besides low temperatures, in which physical and biological processes are slowed down, they may also have to cope with low nutrient conditions, high salinity, dryness, and low water activity, or even high UV irradiation and oxidative stress at high altitudes, and high pressure in the deep sea.
The true limiting factor for life in the cold is the lack of liquid water at low temperatures and not temperature per se (Bakermans 2017; Clarke 2014). Microbial reproduction occurs at subzero temperatures down to − 20 °C and metabolic activity has been detected down to − 30 °C. Interestingly, activities at significantly lower temperatures have also been documented but these await verification. The temperature limit for the completion of a life cycle in microorganisms depends on the cellular structure and is lower for unicellular than multicellular microorganisms ((Bakermans 2017; Clarke 2014; and refs. therein). The low-temperature limit for active metabolism (not just survival) of free-living unicellular microorganisms in the presence of external ice appears to be set by the vitrification (glass transition; a liquid behaves as a solid during cooling) temperature of the cytoplasm. This vitrification (analogous to the vitrification of a colloid) is mainly the result of freeze-induced desiccation and because of the high internal viscosity caused, movement of gases and metabolites, and thus metabolism, stops. However, in contrast to intracellular freezing, vitrification is not lethal and metabolism can start again once the cell warms and rehydrates (Bakermans 2017; Clarke 2014).
Better efficiency of cell function
Chemotaxis, halotaxis, chemohalotaxis (Showalter and Deming 2018)
Colonization of sea ice
Incorporation of unsaturated (branched and short) fatty acids in cell membranes; carotenoid pigment biosynthesis
Maintenance of membrane fluidity
Cell wall (outer cell membrane of Gram-negative bacteria)
Modification of lipopolysaccharides
Maintenance of membrane integrity and fluidity
Cell protection from freezing, desiccation, and hyper-osmolality
Production of antioxidative enzymes (catalase, superoxide dismutase, dioxygen-consuming lipid desaturases)
Cell protection against reactive oxygen species to avoid membrane damage
Production of carotenoids and mycosporins (Hassan et al. 2016)
Production of cold-active enzymes with increased structural flexibility
High activity at low temperature, low thermostability
Production of cold shock and constitutively expressed cold-acclimation proteins (Keto-Timonen et al. 2016)
Improved response to sudden temperature decrease; improved protein synthesis
Cold-inducible promotors (Singh et al. 2014)
Regulation of gene expression at low temperatures
Genome plasticity (rapid genome adaptation)
Increased variety and number of chaperons; induction of peptidyl-prolyl-cis-trans isomerase to facilitate protein folding; modulation of RNA polymerase (Kawamoto et al. 2017)
Improved protein folding
Increased variety and number of tRNA species; increased flexibility of tRNA (Lorenz et al. 2017)
Mobile genetic elements (plasmids, transposons)
Exiguobacterium: multiple stress-responsive genes: cold shock, heat shock, chaperones, carbon starvation, oxidative stress, detoxification, resistance to toxic compounds (Kasana and Pandey 2018)
Efficient stress response
Microbial diversity and activity
The characteristics of glacial ecosystems have been recently described in detail in a number of reviews (Anesio et al. 2017; Boetius et al. 2015; Hotaling et al. 2017b; Laybourn-Parry and Pearce 2016) and book chapters (e.g., Margesin 2017).
Supraglacial environments cover ~ 11% of the Earth’s surface area; they are seasonally or perennially covered by snow and are habitats for very diverse and metabolically active microbial communities (Edwards and Cameron 2017). The supraglacial zone is influenced by solar irradiation and amended with nutrients and microorganisms via atmospheric deposition (Hotaling et al. 2017b and refs. therein).
Snow covers permanently or seasonally the Earth’s surface covered by glacial ice and affects the climate due to its interaction with various biosphere compartments (atmosphere, soil, meltwater). A number of studies, with a focus on bacteria, have demonstrated a high diversity of metabolically active microorganisms in snow (reviewed by Edwards and Cameron 2017). Recently, comparative metagenomic analysis of Arctic (Choudhari et al. 2014; Maccario et al. 2014) and Antarctic (Lopatina et al. 2016) snow samples have been carried out. These showed that snow samples from an Alaskan glacier contained a rich and diverse microbial community of about 2500 bacterial species, with Proteobacteria, Bacteroidetes, and Firmicutes being the most abundant bacterial groups, and about 30 archaeal species. A large community overlap with Arctic soil was also found, indicating a strong involvement of the snow community in soil development during glacier retreat (Choudhari et al. 2014). Furthermore, the composition of the microbial communities in Arctic spring snow samples was shown to be impacted by photochemical reactions and oxidative stress (Maccario et al. 2014). On the other hand, communities in Antarctic snow samples were site-specific and contained a high variety of members of the genus Flavobacterium, which—probably as a result of a strong selection process—were only found in Antarctica and could not be detected in the Northern hemisphere (Lopatina et al. 2016).
Nitrate is often quantified in polar snow and ice as the major sink of atmospheric nitrogen oxides. Shi et al. (2018) studied nitrate deposition and preservation in 140 snow samples collected along a traverse from the coast to the ice sheet summit in East Antarctica and found that nitrate content increased from the coast to the summit and decreased with snow depth (i.e., were higher in surface snow samples). Furthermore, nitrate contents in inland surface snow were found to be influenced by gaseous deposition of nitric acid (Shi et al. 2018).
Snow algae (unicellular freshwater algae) have been described in polar and Alpine regions and appear to be cosmopolitan (Lutz et al. 2016; Segawa et al. 2018). The successful integration of metagenomics, targeted metabolomics, functional gene inventory, and identification of functional groups has contributed to the elucidation of the snow algae phenomenon in adjacent green and red snow algae fields on a glacier in Svalbard. It was demonstrated that the green and red snows are not successive stages, but occur independently and differ in their environmental characteristics, metabolic profiles, and algal community compositions. The wet and nutrient-rich green snow is colonized by Microglena sp. and contains metabolites involved in growth and proliferation, while storage metabolites and Chloromonas species are abundant in the dry and nutrient-poor red snow (Lutz et al. 2015).
According to a survey of microbial communities on 12 glaciers and snow fields, nitrogen limitation, rather than phosphorus limitation, plays a major role in the production of metabolites in snow and ice algae (Lutz et al. 2017). In contrast, isotopic and microcosm studies of supraglacial and periglacial snow algae communities on stratovolcanoes of the Pacific Northwest indicated dissolved inorganic carbon as the limiting nutrient and demonstrated active sequestering of Fe, Mn, and P leached from rocks (Hamilton and Havig 2017). This can be explained by the volcanic terrain delivering nutrients to snow and ice communities, in contrast to carbonate or granitic bedrock types.
Cryoconite holes are “ice-cold hot-spots of microbial diversity and activity” (Edwards et al. 2013a) and biogeochemistry (Cook et al. 2016a). These water-filled ice depressions are found on glacier surfaces worldwide and are formed when dark particles like organic debris or inorganic dust deposited on the glacier surface are warmed by solar irradiation and sink into the ice. Due to the black body effect (accelerated thawing due to low albedo), cryoconite plays an important role in the acceleration of deglaciation processes. Cryoconite holes are microbe-mineral aggregates (Cook et al. 2016a, b) and rich in organic matter and are stable for several seasons in polar areas, in contrast to temperate mountain glaciers (Franzetti et al. 2017a). For a detailed literature survey on the physical, chemical, and biological properties of cryoconite and cryoconite holes, the reader is referred to Cook et al. (2016a).
The first metagenome from cryoconite was reported by Edwards et al. (2013b). This snapshot (i.e., without the consideration of temporal variability) of the phylogenetic and functional (see below) diversity of 14 Austrian Alpine cryoconite samples reported the dominance of bacteria (62% Proteobacteria) and a low abundance of eukaryotes (0.6%) and archaea (0.1%) (Edwards et al. 2013b). Network analysis of high-throughput DNA sequencing data detected that cryoconite holes host different and less diverse microbial communities than ice-marginal environments, such as moraines and glacier forefield, which differ in environmental conditions (temperature, solar irradiation, water availability) from cryoconite. For example, cyanobacteria were the most abundant taxon in cryoconite holes, but the least abundant taxon in ice-marginal environments. This shows that microbial communities not adapted to the specific environment may be sorted out and the composition of cryoconite communities may be driven by species-sorting processes (Franzetti et al. 2017a).
Both heterotrophic and autotrophic microbial communities are active in cryoconite. The ecological importance of phototrophs, principally cyanobacteria, as primary colonizers and net producers in supraglacial habitats is well known. Biogeographical analyses of cyanobacteria in cryoconite pointed to an endemic distribution of most of the 16S-23S ITS (internal transcribed spacer) derived phylotypes, attributed to geographically different selection pressures (Segawa et al. 2017). Using non-targeted metabolomics, it was shown that microbial processes contribute to the formation and maintenance of stable autotrophic conditions in cryoconite holes. Furthermore, cryoconite holes can change their shape in response to changes in light intensity and sediment thickness (Cook et al. 2016b). Irregular shape of cryoconite holes was interpreted as migration away from shady topographic settings over ice surfaces towards more illuminated and flat areas on ice (Cook et al. 2018). Indeed, the authors hypothesized the movement from net heterotrophy to net autotrophy with the promotion of carbon fixation; this however has not been confirmed.
Biodiversity studies conducted over three summer months in 60 Alpine cryoconite samples demonstrated temporal shifts between autotrophic cyanobacteria, dominating after snowmelt, and heterotrophic Sphingobacteriales, being more abundant later in the season. Interestingly, sampling time (July, August, and September 2013) had a higher influence on the composition of bacterial communities than the local environmental conditions prevailing in each cryoconite sample (Franzetti et al. 2017b). Metagenomic analysis of cryoconite on Himalayan and Alpine glaciers revealed a high abundance of heterotrophic anoxygenic phototrophic Proteobacteria (Franzetti et al. 2016). These bacteria use light on the glacier surface as an energy source to produce biomass from organic carbon of allochthonous origin, e.g., chitin. Alternatively, organic carbon would be converted by other microorganisms via heterotrophic respiration to CO2, which then would be converted to organic carbon by cyanobacteria via oxygenic photosynthesis (Franzetti et al. 2016).
RNA-based studies of microbial communities are used to evaluate potentially active organisms, which is not possible with DNA-based studies. However, rRNA is not a general indicator of microbial activity in environmental samples and should rather be seen as an indicator of protein synthesis potential (Blazewicz et al. 2013). Furthermore, rRNA:rRNA gene ratios are not reliable indicators for differentiating between active and inactive microbial taxa in environmental samples. In fact, the relationship between rRNA concentration and growth rate is very variable and differs, often significantly, among taxa. In addition, the presence of high numbers of ribosomes in dormant cells may result in an overestimation of microbial activity in environments with a high abundance of dormant microorganisms (Blazewicz et al. 2013). The comparison of bulk (rDNA) and potentially active (rRNA) bacterial communities in Greenland cryoconite revealed a higher abundance of potentially active bacteria (Cyanobacteria, Proteobacteria) in the interior than at the margin of the ice sheet (30-km distance), while diversity was higher in the margins (Stibal et al. 2015). Elevated nitrate levels, simulated in line with the predicted tropospheric nitrate content for the year 2100 (a 181% increase), had no significant effect on abundance and little effect on the composition of bulk or potentially active microbial communities in a 6-week in situ study using N-isotopes (Cameron et al. 2017).
Heterotrophic microorganisms in Himalayan and Antarctic cryoconite holes had a high potential to metabolize a range of organic compounds (carbohydrates, lipids, proteins, cellulose, lignin) and to produce extracellular enzymes (Sanyal et al. 2018). Biomarker and stable isotope analyses of organic carbon indicated that microorganisms in cryoconite do not use geological (aged) organic carbon, and that their primary source of carbon (carbon fixation) is recent (fresh) atmospheric carbon (McCrimmon et al. 2018). In microcosm-experiments, 13–60% of dissolved organic carbon in Himalayan and Antarctic cryoconite holes was bioavailable to heterotrophic microorganisms (Sanyal et al. 2018). Thus, microorganisms in cryoconite play an important role in carbon turnover (carbon cycling and fixation). During melting and flushing of cryoconite holes (glacial runoff), microorganisms and high amounts of microbially produced dissolved organic carbon are exported downstream, contributing to carbon cycling processes in glacial forefields, subglacial ecosystems, and coastal waters (Edwards et al. 2014; Sanyal et al. 2018).
The analysis of (metagenome-derived) functional genes, indicating the functional potential, in 14 Alpine cryoconite samples and a comparison with 32 metagenomes from comparable environments showed a high abundance of genes linked to the utilization of carbohydrates and amino acids, while genes linked to photosynthesis and dormancy/sporulation were low. The presence of genes associated with various nutrient cycles (N, S, Fe, P), with a trend towards assimilative metabolism, indicated an efficient microbial nutrient uptake. A preference for ammonia utilization compared to denitrification and N fixation, and the importance of phosphate, organic, and inorganic sulfur, Fe(II) and Fe(III) as nutrient sources were evident (Edwards et al. 2013b). Fe enrichment in cryoconite water was recently shown to exceed enrichment in marine phytoplankton, suggesting that supraglacial habitats are a source of Fe to downstream processes (Fortner and Lyons 2018).
Viral-induced lysis and lowering of the growth efficiency of bacteria is a dominant process for the release and recycling of carbon and nutrients in Arctic cryoconite holes (Bellas et al. 2013). Thus, viruses alter carbon cycling substantially, which impacts nutrient cycling (Rassner 2017). Some bacteria have developed defense mechanisms against viral attack. Janthinobacterium (belonging to Betaproteobacteria), a dominant bacterium in supraglacial meltwater and often found in cold habitats, produces vesicles on the outer membrane. These vesicles contain the binding sites recognized by the specific virus. In case of a viral attack, the virus cannot distinguish between host cells and host vesicles, binds to the vesicles and injects the genome into the vesicle, which prevents its replication (Rassner 2017; Rassner et al. 2016). In this way, this dominant bacterial taxa evades viral control.
Viruses in cryoconite and cryoconite holes have been reported in a number of studies (Rassner 2017 and ref.s therein). A study of viral content in Arctic cryoconite samples in Greenland and Svalbard showed a tenfold higher abundance of viruses compared to bacteria and a virus production (up to 9 × 107 g dry mass) comparable to that in sediments worldwide (Bellas et al. 2013). Novel dsDNA virus genomes with genes to control host genomes were found in the cryoconites. The majority of viruses (bacteriophages, cyanophages) belonged to Caudovirales (bacteriophages) and the most prominent bacterial hosts were members of Alpha- and Gammaproteobacteria, Actinobacteria, Firmicutes, and Cyanobacteria. Some viral groups were found to have unusual life strategies and possess genes to control host replication (Bellas et al. 2015). Importantly also, glacial viruses are characterized by longevity and can adapt to the cold separately from the host (Rassner 2017).
The characteristics of subglacial environments, including subglacial lakes, have been described in detail in a number of reviews (e.g., Hotaling et al. 2017b) and book chapters (Achberger et al. 2017). Since access to these often remote areas is difficult for technological, financial, and environmental reasons, knowledge of microbial life in subglacial habitats is still limited. The development of microbiologically clean core-drilling techniques, such as hot water drilling (Hodgson et al. 2016; Makinson et al. 2016; Priscu et al. 2013), and the application of radioglaciology (the study of glaciers and ice sheets using radar) have resulted in the detection and exploration of several polar subglacial lakes and allowed the detailed study of microbial diversity and metabolic activity (Achberger et al. 2017; Bulat 2016). Interestingly, despite several limiting conditions (permanently cold temperatures, darkness, low amounts of available nutrients), metabolically active chemolithoautotrophic and heterotrophic microorganisms have been found in all subglacial habitats examined so far (basal ice, sediment cores, subglacial lakes, subglacial outflows at glacial margins) (Achbergert et al. 2016; Mikucki et al. 2016; Vick-Majors et al. 2016).
Biodiversity and functional gene studies in subglacial habitats have been recently reviewed by Achberger et al. (2017) and are described here only briefly. Analyses of metagenomes (DNA, RNA, isolates) and of 16S rRNA genes and transcripts indicated the dominance of bacteria (Proteobacteria, Firmicutes, Actinobacteria, Bacteroidetes), while archaeal and eukaryotic members were rarely found in the subglacial Antarctic Lake Vostok (Bulat 2016) and in water and sediments of the subglacial Antarctic Lake Whillans (Achbergert et al. 2016). Active methane cycling, as demonstrated by the presence of methanotrophic and methanogenic taxa and methane monooxygenase (pmoA) transcripts, as well as the measurement of methane oxidation, was reported in subglacial water of the Greenland Ice Sheet (Dieser et al. 2014). The potential for methane oxidation was also detected beneath the Antarctic Ice Sheet (Michaud et al. 2017). The oxidation of reduced iron, sulfur, and nitrogen by chemolithoautotrophic microorganisms has also been shown in this area (Achbergert et al. 2016; Purcell et al. 2014) as well as in glacier sediments in the Canadian Rockies (Boyd et al. 2014). The metabolic activity of these microorganisms was confirmed via SIP (e.g., Boyd et al. 2014; Michaud et al. 2017) and microcosom/culture-based studies (e.g., Harrold et al. 2016) and the presence of active sulfide-oxidizing microorganisms was confirmed by 16S rRNA transcripts closely related to Thiobacillus and Sideroxydans spp. (Achbergert et al. 2016; Michaud et al. 2016). Such studies indicate that microbial chemolithotrophy plays an important role in biogeochemical processes in subglacial ecosystems (Anesio et al. 2017).
Research on permafrost has considerably increased in recent years due to emerging concerns about the impacts of climate change (global warming) and subsequent permafrost thawing on the activation of indigenous microorganisms. The availability of trapped organic carbon and other nutrients (nitrate) after thawing is likely to increase microbial activity, which results in an increased release of greenhouse gases from the biosphere to the atmosphere (Hultman et al. 2015; Mackelprang et al. 2016). In Alpine regions, permafrost thawing can affect the geotechnical stability of mountain permafrost as shown by recent rockfalls in the European Alps. Microbial responses to climate warming are still not fully understood. However, the development and application of a number of sophisticated techniques to permafrost ecosystems, such as next generation sequencing combined with various –omics approaches, SIP, and in situ studies, has allowed for demonstration of the presence and subzero temperature activity of a wide diversity of microorganisms while also enabling the study of their adaptive mechanisms to frozen conditions (Nikrad et al. 2016; Raymond-Bouchard and Whyte 2017).
Vast areas (ca. 25%) of the terrestrial surface on Earth are underlain by permafrost. Permafrost is defined as ground (lithosphere: soil, sediment, rock), which is permanently exposed to temperatures ≤ 0 °C and has remained frozen for at least two consecutive years. Permafrost-affected soils are seasonally (summer) thawed soils (active layers) underlain by permafrost. Permafrost soils contain 20–70% ice and 1–7% unfrozen water with a low water activity (0.8–0.85). Further characteristics that impact microbial life are oligotrophic conditions, constant darkness, and geological background gamma-radiation (Margesin 2009).
Permafrost regions occur at high latitudes and at high elevations. Research on permafrost microbiology has focused for many years on polar regions, while mountain permafrost has been largely neglected. Permafrost at high elevations occurs in the Alps, Andes, and Himalayas and is characterized by higher spatial variability than polar permafrost, higher mean temperatures, and a lower influence of vegetation (Frey et al. 2016; Hu et al. 2015). Arctic permafrost is characterized by a mean temperature of − 10 °C and low content of organic carbon and nitrogen, while Antarctic permafrost is subjected to much lower temperatures (− 18.5 to − 27 °C) and alkaline pH. Polar and mountain permafrost characteristics have been described in detail in various reviews (e.g., Jansson and Baker 2016; Jansson and Tas 2014) and book chapters (Altshuler et al. 2017; Margesin 2009).
Permafrost bacteria are often very small in size (dwarfed, ≤ 1 μm) and viable but non culturable (Margesin 2009). Culture-independent methods and the combination of various –omics approaches revealed a higher and different bacterial diversity compared to culture-dependent techniques (Hultman et al. 2015). Generally, the by far most abundant group is the bacteria. Archaea (often methanogenic and halophilic Euryarchaeota and Crenarchaeota) and fungi (with a prevalence of Ascomycota) have also been detected, at much lower abundances, both in polar and Alpine permafrost (Altshuler et al. 2017; Hu et al. 2015; Jansson and Tas 2014). Cyanobacteria were not detected in Arctic permafrost samples, while they were present but unculturable in Antarctic permafrost (Makhalanyane et al. 2015).
It has been often assumed that microorganisms in permafrost are in a dormant state; however, a number of studies have evidenced replication and active metabolism under frozen conditions (Nikrad et al. 2016; Vishnivetskaya et al. 2018). For example, bacterial genome replication in permafrost soils, determined by SIP via the incorporation of 13C-acetate into DNA in a 6-month microcosm study, was detected over a temperature range of 0 to − 20 °C for a number of bacterial phyla (Actinobacteria, Acidobacteria, Proteobacteria, Chloroflexi, Gemmatimonadetes) with the exception of Firmicutes. Interestingly, some bacteria were only able to replicate at temperatures lower than − 6 °C (Tuorto et al. 2014) and 16S rRNA sequencing demonstrated a greater diversity of active OTUs at subzero temperatures than at 0 °C (Tuorto et al. 2014). According to a proteomic study, subzero growth (− 10 °C) of Planococcus halocyrophilus from permafrost resulted in a series of complex responses and significant changes in the abundance of proteins involved in various cellular processes, such as synthesis of cell wall, fatty acids, carotenoids, amino acids, energy metabolism, nucleotide turnover, transcription, translation, and DNA replication and repair (Raymond-Bouchard et al. 2017). This bacterium is able to grow over an exceptionally wide temperature range, from − 15 to 37 °C, and modifies peptidoglycan metabolism (by reducing active peptidoglycan synthesis) and the iron acquisition strategy (by omitting siderophore-mediated iron and preferring ABC-type iron acquisition) after transition from optimal (24 °C) to subzero temperatures (Ronholm et al. 2015). Also, when grown at − 15 °C, its cell envelope differed from that of cells grown at 25 °C by the accumulation of high contents of calcium carbonate (due to biomineralization) and choline, which could represent cryoprotective mechanisms at subzero temperatures (Mykytczuk et al. 2016). Indeed, these surfaceomics studies are an interesting approach to evaluate the impact of subzero temperatures on microbial adaptation strategies. Similarly, comparative genomics has also enabled a better understanding of microbial adaptation, with, for example, comparison of the genome of Rhodococcus sp. JG3, isolated from Antarctic McMurdo Valley, with 14 mesophilic counterparts revealing a number of survival strategies in permafrost; including lipid alteration, osmotic stress response, nutrient acquisition via the utilization of reserve molecules, and carbon utilization via the full glyoxylate pathway (Goordial et al. 2016b).
Generally, metabolic activities involved in the cycling of carbon (degradation of carbon compounds, methanogenesis, methanotrophy), nitrogen (nitrification, denitrification, nitrogen fixation), sulfur (sulfate and thiosulfate reduction), and iron (Fe(III) reduction) have been evidenced in permafrost in a number of studies by the presence of the respective genes, proteins, and transcripts (Altshuler et al. 2017). Studies have also indicated that archaeal methanogens may be enriched in microcosms of Antarctic Dry Valleys permafrost sediments and the metagenome-assembled genome of an unculturable Methanosarcina representative was shown to contain cold-active enzymes and metabolic pathways (Vishnivetskaya et al. 2018). An excellent summary of metatranscriptome studies in permafrost and permafrost-affected environments is given by Raymond-Bouchard and Whyte (2017). A multi-omics study (Hultman et al. 2015) of microbial processes and phylogenetic composition in Alaskan permafrost was based on metagenomics, metatranscriptomics, and metaproteomics. In this study, the analysis of nucleic acid ratios (RNA:DNA; functional gene transcripts to genes) identified Proteobacteria, Acidobacteria, and Firmicutes as the most active members of microbial communities, acclimated for activity at subzero temperatures. Furthermore, different microbial strategies in permafrost and seasonally thawed active layers were demonstrated. Permafrost microorganisms were characterized by low process rates, applied dissimilatory Fe(III) reduction as a potential metabolic strategy, and had a lower general functional potential than thawed soils. However, the relative abundance of transcripts and proteins for some pathways, such as methane oxidation, was comparable in permafrost and active layers. In addition, microbial communities in the active layer expressed genes and proteins necessary for energy and nutrient supply and for survival under freeze-thaw conditions (Hultman et al. 2015).
A very diverse and largely under-characterized permafrost microbiome was described in a comprehensive diversity analysis of all three microbial domains in high alpine permafrost located at 2979 m above sea level in Switzerland (Frey et al. 2016). In contrast to studies at high latitudes, where deeper permafrost layers are often compared with the overlaying active layer, soils at the same depths on two slopes were compared, i.e., permafrost soils at the NW slope and non-permafrost soils at the SE slope. High-throughput sequencing of ribosomal markers detected the enrichment of unculturable bacteria in the permafrost, especially members of the candidate superphylum Patescibacteria (phyla OD1 Parcubacteria, TM7 Saccharibacteria, GN02 Gracilibacteria, OP11 Microgenomates). Interestingly, these bacteria were found to be characterized by small streamlined genomes and anaerobic fermentative metabolism and this combination appears to be the key for microbial survival and adaptation in alpine permafrost (Frey et al. 2016 and refs. therein).
Environmental conditions determine the strategies of microbial communities to cope with the cold. Permafrost soils at lower elevations in the McMurdo Dry Valleys of Antarctica contained active microbial populations, while those at higher elevations had a high richness of genes involved in dormancy and sporulation and a low richness of stress response genes and thus favor survival or dormancy (Goordial et al. 2016a, 2017). In contrast, cryptoendolithic communities (colonizing cavities in porous rock) in porous sandstone at higher elevations were metabolically active at in situ temperatures and had a high richness of genes involved in metabolic activity (carbon fixation) and stress response, which are needed for growth under the prevailing oligotrophic, arid, and cold conditions (Goordial et al. 2017). Organic biomarker and radiocarbon analyses indicated that these crypotendolithic microbial communities are active and recycle carbon on timescales faster than previously assumed (Brady et al. 2018).
Permafrost thawing results in increased microbial activity and consequently increased emission of greenhouse gases such as CO2, CH4, and N2O. The effect of permafrost thawing on microbial communities and their activities has thus become an important research topic (Graham et al. 2012; Mondav et al. 2017).
Increased methane emission after permafrost thawing resulted in a tenfold increase in the abundance of methanogenic archaea and in significant shifts in archaeal community composition and their activities. The dominance of Methanosarcinales with increased transcriptional activities in thawed permafrost indicates a shift of metabolic processes of methanogens from hydrogenotrophic to partly acetoclastic methane production (Wei et al. 2018). A metatranscriptomic study on metabolic pathways in up to 70 cm deep Alaskan permafrost soils before and 11 days after thawing showed a rapid activity increase (enzymes, carbohydrate metabolism, methanogenesis) after thawing, resulting from the decomposition of soil organic matter by Bacteroidetes, Firmicutes, Ascomycetes, and methanogens. The exclusive expression of transcripts involved in acetogenesis after thawing indicated acetogenic bacteria as the potential acetate source for acetoclastic methanogens in freshly thawed permafrost (Coolen and Orsi 2015).
Thawing permafrost results in the formation of lakes and ponds which are a source of emission of CO2 and CH4 to the atmosphere. A study of aerobic methanotrophic bacteria in such ponds pointed to the resilience of methanotrophs (mainly Methylobacter) and their methanotrophic potential activity (pmoA transcripts), regardless of oxygen content (Crevecoeur et al. 2017). Field and laboratory methane flux measurements, combined with –omics approaches, demonstrated the presence of active atmospheric methane-oxidizing (methanotrophic) bacteria in permafrost-affected Arctic mineral (carbon-poor) cryosols (Lau et al. 2015). Atmospheric methane oxidation in microcosms of these soils increased with increasing temperature (10 °C versus 4 °C), but decreased with decreasing water saturation and soil depth, independent of temperature. According to stable isotope mass balance, ca. 50% of the oxidized methane was incorporated in microbial biomass, regardless of temperature, water saturation, or soil depth (Stackhouse et al. 2017).
SIP was applied to study the processes responsible for high N2O emissions from subarctic permafrost peatlands (Gil et al. 2017) and identified denitrification as the main process responsible for increased N2O emission to the atmosphere as a consequence of global warming. SIP was also used to demonstrate enhanced microbial nitrification, due to the release of nitrogen (nitrate), after permafrost disturbance in the Canadian High Arctic (Louiseize et al. 2014).
Soil structure plays an important role in long-term storage of organic carbon. A combination of physical fractionation, reflected light microscopy, scanning electron microscopy, and NanoSIMS was used to investigate soil structure at the microscale in a cross section from an Arctic permafrost layer in Alaska (Mueller et al. 2017). It was shown that plant residues, accounting for 58% of the organic carbon stored in the studied soil section (80–126-cm depth), act as nuclei for the formation of microaggregates composed of mineral-associated organic matter. Such microaggregates are important for organic matter preservation in soils, which is of relevance for the deepening of active layers of permafrost-affected soils in the context of warming.
In contrast to land permafrost, submarine permafrost is not only subjected to heat transfer, but also to the penetration of salt from the ocean water, which lowers the freezing temperature (Mitzscherling et al. 2017). The effect of thawing of submarine permafrost on microbial communities has been poorly investigated. A recent study identified anaerobic archaeal methanotrophs of marine and terrestrial origin in frozen and thawed deep submarine permafrost (Winkel et al. 2018). Here, potential activity of anaerobic methane-oxidizing communities at low temperatures was revealed by using functional marker genes (mcrA) and catalyzed reporter deposition fluorescence in situ hybridization (CARD-FISH). The modeling of potential methane oxidation activity predicted the consumption of 72–100% of submarine permafrost methane, which the authors proposed for consideration in global methane budgets (Winkel et al. 2018). In another study, the investigation of two submarine permafrost cores from the East Siberian Arctic shelf, flooded 540 and 2500 years ago, resulted in the detection of stratified site-specific bacterial communities in permafrost, marine-affected permafrost and seabed permafrost. Interestingly, the ice-bonded seawater of the 2500 years inundated core, unaffected by warmed permafrost, contained the highest microbial abundance. The authors concluded that proliferation of submarine permafrost bacterial communities starts only millennia after warming (Mitzscherling et al. 2017).
Conclusions and future perspectives
At present, there is a limited ability to predict, and manage, the dynamics and functions of microbial communities. Empirical approaches (field and laboratory studies) currently dominate the study of microorganisms in cold habitats while ecological modeling approaches, such as recently reported for the supraglacial ecosystem (Stibal et al. 2017), are rare. Progress towards a better fundamental understanding of microbial communities in the cold could be achieved in the near future by the development of predictive mathematical models to complement the empirical studies (Bradley et al. 2016; Widder et al. 2016). Such an approach would require increased interdisciplinarity, linking theory and experiment.
Studies on interactions between micro- and macroorganisms in cold habitats, such as feedback between tropic levels, are currently underrepresented. In addition, there is a need for more extensive studies on interactions between (micro)biology and environmental conditions (temperature), which should include microhabitats and microclimates.
Climate change represents a threat to biodiversity, especially in cold habitats. Linkage of biodiversity, climate, and function is an important emerging question.
The role and behavior of cold-adapted microorganisms in various processes associated with climate warming (e.g., deglaciation, permafrost thawing) is far from being clear. To answer this question (over the long-term time range), an integrative view of all involved aspects (spatial and temporal, chemical, and physical effects, interactions between micro- and macroorganisms) is required.
Open access funding provided by University of Innsbruck and Medical University of Innsbruck. T.C. is supported by the Fundação para a Ciência e a Tecnologia (FCT), the European Social Fund, the Programa Operacional Potencial Humano, and the Investigador FCT Programme (IF/01635/2014).
Compliance with ethical standards
Conflict of interest
The authors declare that they have no conflict of interest.
This article does not contain any studies with human participants or animals performed by any of the authors.
- Achbergert AM, Christner BC, Michaud AB, Priscu JC, Skidmore ML, Vick-Majors TJ, Team WS (2016) Microbial community structure of subglacial Lake Whillans, West Antarctica. Front Microbiol 7:1457. https://doi.org/10.3389/fmicb.2016.01457
- Barauna RA, Freitas DY, Pinheiro JC, Folador ARC, Silva A (2017) A proteomic perspective on the bacterial adaptation to cold: integrating OMICs data of the psychrotrophic bacterium Exiguobacterium antarcticum B7. Proteomes 5(1). https://doi.org/10.3390/proteomes5010009
- Bellas CM, Anesio AM, Telling J, Stibal M, Tranter M, Davis S (2013) Viral impacts on bacterial communities in Arctic cryoconite. Environ Res Lett 8(4). https://doi.org/10.1088/1748-9326/8/4/045021
- Bellas CM, Anesio AM, Barker G (2015) Analysis of virus genomes from glacial environments reveals novel virus groups with unusual host interactions. Front Microbiol 6. https://doi.org/10.3389/fmicb.2015.00656
- Beniston M, Farinotti D, Stoffel M, Andreassen LM, Coppola E, Eckert N, Fantini A, Giacona F, Hauck C, Huss M, Huwald H, Lehning M, Lopez-Moreno JI, Magnusson J, Marty C, Moran-Tejeda E, Morin S, Naaim M, Provenzale A, Rabatel A, Six D, Stotter J, Strasser U, Terzago S, Vincent C (2018) The European mountain cryosphere: a review of its current state, trends, and future challenges. Cryosphere 12(2):759–794. https://doi.org/10.5194/tc-12-759-2018 CrossRefGoogle Scholar
- Bradley JA, Anesio AM, Arndt S (2016) Bridging the divide: a model-data approach to Polar and Alpine microbiology. FEMS Microbiol Ecol 92(3). https://doi.org/10.1093/femsec/fiw015
- Brady AL, Goordial J, Sun HJ, Whyte LG, Slater GF (2018) Variability in carbon uptake and (re)cycling in Antarctic cryptoendolithic microbial ecosystems demonstrated through radiocarbon analysis of organic biomarkers. Geobiology 16(1):62–79. https://doi.org/10.1111/gbi.12263 CrossRefPubMedGoogle Scholar
- Cheptsov VS, Vorobyova EA, Manucharova NA, Gorlenko MV, Pavlov AK, Vdovina MA, Lomasov VN, Bulat SA (2017) 100 kGy gamma-affected microbial communities within the ancient Arctic permafrost under simulated Martian conditions. Extremophiles 21(6):1057–1067. https://doi.org/10.1007/s00792-017-0966-7 CrossRefPubMedGoogle Scholar
- Cid FP, Rilling JI, Graether SP, Bravo LA, Mora MD, Jorquera MA (2016) Properties and biotechnological applications of ice-binding proteins in bacteria. FEMS Microbiol Lett 363:fnw099. https://doi.org/10.1093/femsle/fnw099
- Collins T, Margesin R (2019) Psychrophilic lifestyles: mechanisms of adaptation and biotechnological tools. Appl Microbiol Biotechnol. https://doi.org/10.1007/s00253-019-09659-5
- Cook JM, Edwards A, Bulling M, Mur LAJ, Cook S, Gokul JK, Cameron KA, Sweet M, Irvine-Fynn TDL (2016b) Metabolome-mediated biocryomorphic evolution promotes carbon fixation in Greenlandic cryoconite holes. Environ Microbiol 18(12):4674–4686. https://doi.org/10.1111/1462-2920.13349 CrossRefPubMedGoogle Scholar
- Coolen MJL, Orsi WD (2015) The transcriptional response of microbial communities in thawing Alaskan permafrost soils. Front Microbiol 6. https://doi.org/10.3389/fmicb.2015.00197
- Dieser M, Broemsen E, Cameron KA, King GM, Achberger A, Choquette K, Hagedorn B, Sletten R, Junge K, Christner BC (2014) Molecular and biogeochemical evidence for methane cycling beneath the western margin of the Greenland Ice Sheet. ISME J 8(11):2305–2316. https://doi.org/10.1038/ismej.2014.59 CrossRefPubMedPubMedCentralGoogle Scholar
- Dsouza M, Taylor MW, Turner SJ, Aislabie J (2015) Genomic and phenotypic insights into the ecology of Arthrobacter from Antarctic soils. BMC Genomics 16:36. https://doi.org/10.1186/s12864-015-1220-2
- Edwards A, Pachebat JA, Swain M, Hegarty M, Hodson AJ, Irvine-Fynn TDL, Rassner SME, Sattler B (2013b) A metagenomic snapshot of taxonomic and functional diversity in an alpine glacier cryoconite ecosystem. Environ Res Lett 8(3):03500310. https://doi.org/10.1088/1748-9326/8/3/035003 CrossRefGoogle Scholar
- Edwards A, Mur LAJ, Girdwood SE, Anesio AM, Stibal M, Rassner SME, Hell K, Pachebat JA, Post B, Bussell JS, Cameron SJS, Griffith GW, Hodson AJ, Sattler B (2014) Coupled cryoconite ecosystem structure-function relationships are revealed by comparing bacterial communities in alpine and Arctic glaciers. FEMS Microbiol Ecol 89(2):222–237. https://doi.org/10.1111/1574-6941.12283 CrossRefPubMedGoogle Scholar
- Fortner SK, Lyons WB (2018) Dissolved trace and minor elements in cryoconite holes and supraglacial streams, Canada Glacier, Antarctica. Front Earth Sci 6. https://doi.org/10.3389/feart.2018.00031
- Franzetti A, Tagliaferri I, Gandolfi I, Bestetti G, Minora U, Mayer C, Azzoni RS, Diolaiuti G, Smiraglia C, Ambrosini R (2016) Light-dependent microbial metabolisms drive carbon fluxes on glacier surfaces. ISME J 10(12):2984–2988. https://doi.org/10.1038/ismej.2016.72 CrossRefPubMedPubMedCentralGoogle Scholar
- Franzetti A, Navarra F, Tagliaferri I, Gandolfi I, Bestetti G, Minora U, Azzoni RS, Diolaiuti G, Smiraglia C, Ambrosini R (2017a) Potential sources of bacteria colonizing the cryoconite of an Alpine glacier. PLoS One 12(3):e0174786. https://doi.org/10.1371/journal.pone.0174786 CrossRefPubMedPubMedCentralGoogle Scholar
- Franzetti A, Navarra F, Tagliaferri I, Gandolfi I, Bestetti G, Minora U, Azzoni RS, Diolaiuti G, Smiraglia C, Ambrosini R (2017b) Temporal variability of bacterial communities in cryoconite on an alpine glacier. Environ Microbiol Rep 9(2):71–78. https://doi.org/10.1111/1758-2229.12499 CrossRefPubMedGoogle Scholar
- Frey B, Rime T, Phillips M, Stierli B, Hajdas I, Widmer F, Hartmann M (2016) Microbial diversity in European alpine permafrost and active layers. FEMS Microbiol Ecol 92(3). https://doi.org/10.1093/femsec/fiw018
- Garcia-Lopez E, Cid C (2017) Glaciers and ice sheets as analog environments of potentially habitable icy worlds. Front Microbiol 8. https://doi.org/10.3389/fmicb.2017.01407
- Gil J, Perez T, Boering K, Martikainen PJ, Biasi C (2017) Mechanisms responsible for high N2O emissions from subarctic permafrost peatlands studied via stable isotope techniques. Glob Biogeochem Cy 31(1):172–189. https://doi.org/10.1002/2015gb005370
- Goordial J, Davila A, Lacelle D, Pollard W, Marinova MM, Greer CW, DiRuggiero J, McKay CP, Whyte LG (2016a) Nearing the cold-arid limits of microbial life in permafrost of an upper dry valley, Antarctica. ISME J 10(7):1613–1624. https://doi.org/10.1038/ismej.2015.239 CrossRefPubMedPubMedCentralGoogle Scholar
- Goordial J, Raymond-Bouchard I, Zolotarov Y, de Bethencourt L, Ronholm J, Shapiro N, Woyke T, Stromvik M, Greer CW, Bakermans C, Whyte L (2016b) Cold adaptive traits revealed by comparative genomic analysis of the eurypsychrophile Rhodococcus sp JG3 isolated from high elevation McMurdo Dry Valley permafrost, Antarctica. FEMS Microbiol Ecol 92(2):fiv154. https://doi.org/10.1093/femsec/fiv154
- Graham DE, Wallenstein MD, Vishnivetskaya TA, Waldrop MP, Phelps TJ, Pfiffner SM, Onstott TC, Whyte LG, Rivkina EM, Gilichinsky DA, Elias DA, Mackelprang R, VerBerkmoes NC, Hettich RL, Wagner D, Wullschleger SD, Jansson JK (2012) Microbes in thawing permafrost: the unknown variable in the climate change equation. ISME J 6(4):709–712. https://doi.org/10.1038/ismej.2011.163 CrossRefPubMedGoogle Scholar
- Harrold ZR, Skidmore ML, Hamilton TL, Desch L, Amada K, van Gelder W, Glover K, Roden EE, Boyd ES (2016) Aerobic and anaerobic thiosulfate oxidation by a cold-adapted, subglacial chemoautotroph. Appl Environ Microbiol 82(5):1486–1495. https://doi.org/10.1128/aem.03398-15 CrossRefPubMedCentralGoogle Scholar
- Hodgson DA, Bentley MJ, Smith JA, Klepacki J, Makinson K, Smith AM, Saw K, Scherer R, Powell R, Tulaczyk S, Rose M, Pearce D, Mowlem M, Keen P, Siegert MJ (2016) Technologies for retrieving sediment cores in Antarctic subglacial settings. Phils Trans R Soc A 374(2059):20150056. https://doi.org/10.1098/rsta.2015.0056 CrossRefGoogle Scholar
- Hultman J, Waldrop MP, Mackelprang R, David MM, McFarland J, Blazewicz SJ, Harden J, Turetsky MR, McGuire AD, Shah MB, VerBerkmoes NC, Lee LH, Mavrommatis K, Jansson JK (2015) Multi-omics of permafrost, active layer and thermokarst bog soil microbiomes. Nature 521(7551):208–212. https://doi.org/10.1038/nature14238 CrossRefPubMedGoogle Scholar
- Jansson JK, Baker ES (2016) A multi-omic future for microbiome studies. Nat Microbiol 1(5). https://doi.org/10.1038/nmicrobiol.2016.49
- Kasana RC, Pandey CB (2018) Exiguobacterium: an overview of a versatile genus with potential in industry and agriculture. Crit Rev Biotechnol 38(1):141–156. https://doi.org/10.1080/07388551.2017.1312273
- Keto-Timonen R, Hietala N, Palonen E, Hakakorpi A, Lindstrm M, Korkeala H (2016) Cold shock proteins: a minireview with special emphasis on csp-family of enteropathogenic Yersinia. Front Microbiol 7:1151. https://doi.org/10.3389/fmicb.2016.01151
- Koch BJ, McHugh TA, Hayer M, Schwartz E, Blazewicz SJ, Dijkstra P, van Gestel N, Marks JC, Mau RL, Morrissey EM, Pett-Ridge J, Hungate BA (2018) Estimating taxon-specific population dynamics in diverse microbial communities. Ecosphere 9(1):e02090. https://doi.org/10.1002/ecs2.2090 CrossRefGoogle Scholar
- Koh HY, Park H, Lee JH, Han SJ, Sohn YC, Lee SG (2017) Proteomic and transcriptomic investigations on cold-responsive properties of the psychrophilic Antarctic bacterium Psychrobacter sp PAMC 21119 at subzero temperatures. Environ Microbiol 19(2):628–644. https://doi.org/10.1111/1462-2920.13578 CrossRefPubMedGoogle Scholar
- Lau MCY, Stackhouse BT, Layton AC, Chauhan A, Vishnivetskaya TA, Chourey K, Ronholm J, Mykytczuk NCS, Bennett PC, Lamarche-Gagnon G, Burton N, Pollard WH, Omelon CR, Medvigy DM, Hettich RL, Pfiffner SM, Whyte LG, Onstott TC (2015) An active atmospheric methane sink in high Arctic mineral cryosols. ISME J 9(8):1880–1891. https://doi.org/10.1038/ismej.2015.13 CrossRefPubMedPubMedCentralGoogle Scholar
- Lopatina A, Medvedeva S, Shmakov S, Logacheva MD, Krylenkov V, Severinov K (2016) Metagenomic analysis of bacterial communities of Antarctic surface snow. Front Microbiol 7. https://doi.org/10.3389/fmicb.2016.00398
- Lorenz C, Lunse CE, Morl M (2017) tRNA Modifications: impact on structure and thermal adaptation. Biomolecules 7(2):35. https://doi.org/10.3390/biom7020035
- Louiseize NL, Lafreniere MJ, Hastings MG (2014) Stable isotopic evidence of enhanced export of microbially derived NO3 - following active layer slope disturbance in the Canadian High Arctic. Biogeochemistry 121(3):565–580. https://doi.org/10.1007/s10533-014-0023-x
- Lutz S, Anesio AM, Field K, Benning LG (2015) Integrated ‘omics’, targeted metabolite and single-cell analyses of Arctic snow algae functionality and adaptability. Front Microbiol 6. https://doi.org/10.3389/fmicb.2015.01323
- Lutz S, Anesio AM, Raiswell R, Edwards A, Newton RJ, Gill F, Benning LG (2016) The biogeography of red snow microbiomes and their role in melting arctic glaciers. Nat Commun 7(9):11968. https://doi.org/10.1038/ncomms11968
- Maccario L, Vogel TM, Larose C (2014) Potential drivers of microbial community structure and function in Arctic spring snow. Front Microbiol 5. https://doi.org/10.3389/fmicb.2014.00413
- Mackelprang R, Saleska SR, Jacobsen CS, Jansson JK, Tas N (2016) Permafrost meta-omics and climate change. In: Jeanloz R, Freeman KH (eds) Annual review of Earth and planetary sciences, vol 44, pp 439–462Google Scholar
- Margesin R (ed) (2009) Permafrost soils, vol 16. Springer, BerlinGoogle Scholar
- Margesin R (ed) (2017) Psychrophiles: from biodiversity to biotechnology, 2nd edn. Springer, BerlinGoogle Scholar
- Mikucki JA, Lee PA, Ghosh D, Purcell AM, Mitchell AC, Mankoff KD, Fisher AT, Tulaczyk S, Carter S, Siegfried MR, Fricker HA, Hodson T, Coenen J, Powell R, Scherer R, Vick-Majors T, Achberger AA, Christner BC, Tranter M, Team WS (2016) Subglacial Lake Whillans microbial biogeochemistry: a synthesis of current knowledge. Phils Trans R Soc A 374(2059):20140290. https://doi.org/10.1098/rsta.2014.0290 CrossRefGoogle Scholar
- Mondav R, McCalley CK, Hodgkins SB, Frolking S, Saleska SR, Rich VI, Chanton JP, Crill PM (2017) Microbial network, phylogenetic diversity and community membership in the active layer across a permafrost thaw gradient. Environ Microbiol 19(8):3201–3218. https://doi.org/10.1111/1462-2920.13809 CrossRefPubMedGoogle Scholar
- Nikrad MP, Kerkhof LJ, Haggblom MM (2016) The subzero microbiome: microbial activity in frozen and thawing soils. FEMS Microbiol Ecol 92(6). https://doi.org/10.1093/femsec/fiw081
- Priscu JC, Achberger AM, Cahoon JE, Christner BC, Edwards RL, Jones WL, Michaud AB, Siegfried MR, Skidmore ML, Spigel RH, Switzer GW, Tulaczyk S, Vick-Majors TJ (2013) A microbiologically clean strategy for access to the Whillans Ice Stream subglacial environment. Antarct Sci 25(5):637–647. https://doi.org/10.1017/s0954102013000035 CrossRefGoogle Scholar
- Purcell AM, Mikucki JA, Achberger AM, Alekhina IA, Barbante C, Christner BC, Ghosh D, Michaud AB, Mitchell AC, Priscu JC, Scherer R, Skidmore ML, Vick-Majors TJ, Team WS (2014) Microbial sulfur transformations in sediments from Subglacial Lake Whillans. Front Microbiol 5. https://doi.org/10.3389/fmicb.2014.00594
- Rassner SME, Anesio AM, Girdwood SE, Hell K, Gokul JK, Whitworth DE, Edwards A (2016) Can the bacterial community of a high Arctic glacier surface escape viral control? Front Microbiol 7. https://doi.org/10.3389/fmicb.2016.00956
- Raymond-Bouchard I, Goordial J, Zolotarov Y, Ronholm J, Stromvik M, Bakermans C, Whyte LG (2018a) Conserved genomic and amino acid traits of cold adaptation in subzero-growing Arctic permafrost bacteria. FEMS Microbiol Ecol 94(4). https://doi.org/10.1093/femsec/fiy023
- Raymond-Bouchard I, Tremblay J, Altshuler I, Greer CW, Whyte LG (2018b) Comparative transcriptomics of cold growth and adaptive features of a eury- and steno-psychrophile. Front Microbiol 9. https://doi.org/10.3389/fmicb.2018.01565
- Shi GT, Hastings MG, Yu JH, Ma TM, Hu ZY, An CL, Li CJ, Ma HM, Jiang S, Li YS (2018) Nitrate deposition and preservation in the snowpack along a traverse from coast to the ice sheet summit (Dome A) in East Antarctica. Cryosphere 12(4):1177–1194. https://doi.org/10.5194/tc-12-1177-2018 CrossRefGoogle Scholar
- Siddiqui KS, Williams TJ, Wilkins D, Yau S, Allen MA, Brown MV, Lauro FM, Cavicchioli R (2013) Psychrophiles. In: Jeanloz R (ed) Annual Review of Earth and Planetary Sciences, vol 41, pp 87–115Google Scholar
- Stackhouse B, Lau MCY, Vishnivetskaya T, Burton N, Wang R, Southworth A, Whyte L, Onstott TC (2017) Atmospheric CH4 oxidation by Arctic permafrost and mineral cryosols as a function of water saturation and temperature. Geobiology 15(1):94–111. https://doi.org/10.1111/gbi.12193
- Stibal M, Schostag M, Cameron KA, Hansen LH, Chandler DM, Wadham JL, Jacobsen CS (2015) Different bulk and active bacterial communities in cryoconite from the margin and interior of the Greenland ice sheet. Environ Microbiol Rep 7(2):293–300. https://doi.org/10.1111/1758-2229.12246 CrossRefPubMedGoogle Scholar
- Stibal M, Bradley JA, Box JE (2017) Ecological modeling of the supraglacial ecosystem: a process-based perspective. Front Earth Sci 5. https://doi.org/10.3389/feart.2017.00052
- Vick-Majors TJ, Mitchell AC, Achberger AM, Christner BC, Dore JE, Michaud AB, Mikucki JA, Purcell AM, Skidmore ML, Priscu JC, Team WS (2016) Physiological ecology of microorganisms in subglacial Lake Whillans. Front Microbiol 7:1705. https://doi.org/10.3389/fmicb.2016.01705
- Vishnivetskaya TA, Buongiorno J, Bird J, Krivushin K, Spirina EV, Oshurkova V, Shcherbakova VA, Wilson G, Lloyd KG, Rivkina EM (2018) Methanogens in the Antarctic Dry Valley permafrost. FEMS Microbiol Ecol 94(8). https://doi.org/10.1093/femsec/fiy109
- Widder S, Allen RJ, Pfeiffer T, Curtis TP, Wiuf C, Sloan WT, Cordero OX, Brown SP, Momeni B, Shou WY, Kettle H, Flint HJ, Haas AF, Laroche B, Kreft JU, Rainey PB, Freilich S, Schuster S, Milferstedt K, van der Meer JR, Grosskopf T, Huisman J, Free A, Picioreanu C, Quince C, Klapper I, Labarthe S, Smets BF, Wang H, Soyer OS, Fellows INI (2016) Challenges in microbial ecology: building predictive understanding of community function and dynamics. ISME J 10(11):2557–2568. https://doi.org/10.1038/ismej.2016.45 CrossRefPubMedPubMedCentralGoogle Scholar
- Winkel M, Mitzscherling J, Overduin PP, Horn F, Winterfeld M, Rijkers R, Grigoriev MN, Knoblauch C, Mangelsdorf K, Wagner D, Liebner S (2018) Anaerobic methanotrophic communities thrive in deep submarine permafrost. Sci Rep 8:1291. https://doi.org/10.1038/s41598-018-19,505-9 CrossRefPubMedPubMedCentralGoogle Scholar
Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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.