Riddles in the cold: Antarctic endemism and microbial succession impact methane cycling in the Southern Ocean
Abstract
Antarctica is estimated to contain as much as a quarter of earth's marine methane, however we have not discovered an active Antarctic methane seep limiting our understanding of the methane cycle. In 2011, an expansive (70 m × 1 m) microbial mat formed at 10 m water depth in the Ross Sea, Antarctica which we identify here to be a high latitude hydrogen sulfide and methane seep. Through 16S rRNA gene analysis on samples collected 1 year and 5 years after the methane seep formed, we identify the taxa involved in the Antarctic methane cycle and quantify the response rate of the microbial community to a novel input of methane. One year after the seep formed, ANaerobic MEthane oxidizing archaea (ANME), the dominant sink of methane globally, were absent. Five years later, ANME were found to make up to 4% of the microbial community, however the dominant member of this group observed (ANME-1) were unexpected considering the cold temperature (−1.8°C) and high sulfate concentrations (greater than 24 mM) present at this site. Additionally, the microbial community had not yet formed a sufficient filter to mitigate the release of methane from the sediment; methane flux from the sediment was still significant at 3.1 mmol CH4 m−2 d−1. We hypothesize that this 5 year time point represents an early successional stage of the microbiota in response to methane input. This study provides the first report of the evolution of a seep system from a non-seep environment, and reveals that the rate of microbial succession may have an unrealized impact on greenhouse gas emission from marine methane reservoirs.
1. Introduction
The concentration of methane, the second most important greenhouse gas after CO2, has increased in the atmosphere 150% since 1750, up to 1.8 ppm, without a known cause [1–3]. Among significant knowledge gaps in the global methane cycle are the reservoir volume and biological sinks of Southern Ocean and Antarctic methane. Antarctica is estimated to contain between 80 and 400 Gt C methane which is a significant proportion of, and yet not included in, the approximately 1800 Gt C methane estimated to be contained in sediment-hosted marine reservoirs [1,4,5]. No active methane seeps have been discovered in Antarctica, hindering our understanding of the processes that regulate the release of Antarctica's methane. In 2011, a methane seep formed at 78° South, providing an opportunity to identify the microbial taxa involved in Antarctica's methane cycle and simultaneously track the microbial succession following the onset of methane emission.
Atmospheric forcing by marine methane sources remains minor compared to terrestrial sources largely owing to the activity of bacteria and archaea that consume methane (methanotrophy) prior to its release from the hydrosphere [6]; however, these taxa can be very slow growing and may be unable to rapidly respond to changing methane emissions. Climate change will increase the release of methane from subsurface marine reservoirs and while predicting the impact of this release is multifaceted [1], methanotrophy in the oceans is expected to minimize the atmospheric footprint of this release. At established methane seeps, a consortia of ANaerobic MEthane oxidizing archaea (ANMEs) and sulfate reducing δ-proteobacteria consume an estimated 70–90% of methane released from the subsurface through the anaerobic oxidation of methane (AOM; [1,7–10]). ANME microbial consortia are slow-growing, with previous measured doubling times of two to seven months [11,12]. This slow growth rate suggests that ANME have an inability to respond to both new areas of methane release or alterations in the rate of release at existing seeps. The few studies that have quantified the population dynamics of ANME following perturbation have shown responses in as little as five weeks [13], no response for a year [14], recruitment of ANME after 48 months [15], or a response by the community after several years [16]. The majority of methane not oxidized by ANME aggregates is aerobically oxidized by a diversity of bacteria including Methylococcaceae (γ-proteobacteria) in marine systems.
The Southern Ocean and the Antarctic continent remain enigmas in regards to methane content and knowledge of which microbiota involved in the methane cycle are present and active. Only two methane seeps are known in the Southern Ocean including the recently discovered South Georgia shelf habitat [17–20] and a now extinct seep that was discovered in the Larson B region of the Antarctic Peninsula. At this later seep, ANME-3 were discovered leading Niemann et al. [21] to hypothesize members of the ANME-3 clade may be adapted to cold temperatures, a finding supported by the global distribution of ANME-3 including at sites in the Arctic [16,21–23].
Two fundamental questions exist as we aim to understand the role of Antarctic and Southern Ocean methane the earth system: (i) does the physical isolation or cold temperatures of the Southern Ocean alter the fauna or processes responsible for consuming Antarctic methane? and (ii) how fast do microbial communities respond to changes in the methane cycle? Here, we begin to address these questions following the fortuitous discovery of an Antarctic marine methane seep at a site known as Cinder Cones in McMurdo Sound within the Ross Sea. This discovery has provided an opportunity to identify the taxa involved in the Antarctic methane cycle and the succession of microbiota in response to methane emissions.
2. Material and methods
(a) Site description
The Cinder Cones Seep (CCS) is on the flanks of the volcanic Ross Island (77° 47.998′ S 166° 40.241′ E). This feature is adjacent to cinder cones of Mt Erebus formed greater than 0.4 million years ago and is in an area that has elevated heat flow beyond what is expected from relic activity [24], however the water temperature is −1.8°C year round. In 2011, S. Kim (Moss Landing Marine Laboratories, personal communication) observed what appeared to be the beginnings of an expansive microbial mat at this site. In 2012, this feature had increased to a 70 m × 1 m microbial mat (figure 1). The mat was not seen in 2010 despite being a prominent feature when it appeared in 2011 and occurring at a site studied since the mid-1960s for its ecology, including as a site of an ice burg scour at deeper depths [25]. No imagery exists of the 10 m deep site until 2012. Opportunistic samples were collected via sediment cores in 2012, imagery was collected in 2014 and extensive sampling of the feature was performed in 2016 including biogeochemical characterization of the feature. A second linear microbial mat was discovered and sampled in 2016 that extended along the 7 m isobath.
Figure 1. Early succession of the Cinder Cones methane seep. The seep is a linear feature that extends across the 10 m isobath and marked by white, sulfide-oxidizing bacterial mats on the surface. The feature was first sampled in 2012 (left panel) and continued until 2016 (centre). The mat was slightly reduced in its surface manifestation by 2014 (lower right). In 2016, more areas of active seepage were discovered including the 7 m water depth ‘Shallow Site’ shown in the upper right. (Online version in colour.)
(b) Sediment core collection
To identify the microbial community, grain size and chemical environment of the CCS, sediment cores (6.4 cm diameter) were collected using SCUBA. Sampling points were randomly distributed within patches of white, putative sulfur-oxidizing filamentous bacteria in 2012 (n = 3) and 2016 (n = 12) along the feature and purposefully including both ends of the feature to capture along feature variance. For comparison, cores were also collected within 2 m of the seep (called reference; n = 4) and at control locations that were downslope, away from seep influence at Cinder Cones and two additional sites within McMurdo sound (‘Jetty’: 77° 51.101′ S 166° 39.933′ E and ‘Turtle Rocks’: 77° 44.615′ S 166° 46.297′ E; n = 3 at all control sites which were sampled at 20 m water depth). The shallow linear microbial mat was also sampled, however with a single core so it is not included in quantitative statistical analysis. Cores were transported at in situ temp (−1.8°C) to McMurdo Station and sliced vertically (intervals given in figure 4) and the sediment was frozen at −80°C for microbial characterization. A subset of cores had sequential 3 cm deep subcores taken vertically for methane analysis and preserved as described below.
Pore water was collected in situ using Rhyzon© porewater extraction devices and analysed for methane, ion and sulfide concentrations. Ex situ porewater extraction and oxygen microprofiling was confounded by the high porosity of the sediment, leading to rapid pore water loss and non-reproducible results; these data are not presented. For methane, 3 ml of porewater or sediment was placed in a serum bottles with 2 ml of 5 M NaOH and capped with butyl rubber stoppers and held upside down at 4°C until analysis. In 2012, to demonstrate the presence of methane, a non-quantitative sample was collected by placing a Rhyzon in a syringe of frozen sediment and extracting the porewater as the sediment thawed. To measure hydrogen sulfide, 1 ml of porewater was preserved in 0.05 M zinc acetate and analysed spectrophotometrically [26]. Ion's were analysed on a Dionex DX-100 at California Institute of Technology. Methane samples were analysed on a HP 5890 gas chromatograph with an AllTech Porapak N8/100 column at Oregon State University. Sediment grain size was measured by freeze-drying and then shaking the sediment in nested sieves. δ13C and δ2H of methane were analysed at the University of California, Davis on a Thermo Delta V Plus isotope ratio mass spectrometer.
Methane flux was measured in 2016 through the deployment of benthic flux chambers within the seep and at the reference site. Benthic chambers were 10 cm internal diameter sediment cores capped with a lid that included a septa allowing time point sample collection without perturbation and a magnetic propeller system which enabled water mixing prior to each sample collection. Each chamber sampled 0.08 m2 of the seafloor and samples were taken at 12 h intervals with a syringe through the septa. At no point were the chambers opened during the deployment. Upon recovery, the entire chamber was removed, including the sediment within it, by capping the bottom of the chamber and extracting it from the sediment including approximately the top 10 cm of sediment.
(c) Microbial community analysis
DNA was extracted from between 0.25 and 0.5 g of sediment using the MoBio (now Qiagen) DNeasy PowerSoil kit following manufacturer protocols. Earth Microbiome Project (EMP) Protocols were followed as specified in [27], including amplification with the 515f and 806rb primers [28]. For community analysis, we used forward reads generated on an Illumina MiSeq (V.2 chemistry and 2 × 250 paired end sequencing), trimmed to 250 bp and quality filtered using default parameters in QIIME2 2019.10 [29]. Amplicon sequence variants (ASVs) were identified using Deblur within Qiime2, and taxonomy assigned by comparison to the Silva v123 database formatted for QIIME (see the electronic supplementary material for Data pipeline; NCBI SRA archive PRJNA387720; and Dryad Repository doi:10.5061/dryad.0zpc866vh [30] for resultant ASV table). Non-rarified data were used throughout and samples were compared using a multidimensional framework on ASV level taxonomic assignments. Nonmetric multidimensional scaling (nMDS) based on Bray–Curtis similarity of log (x + 1) transformed data was used to visualize differences among communities. Differences between sites were analysed using a PERMANOVA framework with sediment depths compared separately to maintain assumptions of sample independence. Statistical analyses were performed in PRIMER-e (ver.7; [31]).
Sequences identified to be within Euryarchaeota were isolated and compared with taxa from other seep sites globally and the ice-covered lakes of the McMurdo Dry Valleys. Representative sequences (operational taxonomic units based on 97% similarity identified through the same pipeline as in [27]) were compared to sequences from the literature from areas of known seepage; sequences were compiled from GenBank and VAMPS (SBJ_BME_Bv4v5 and SBJ_BME_Av4v5 from [32]). We used this approach to conservatively compare known seep sites to the CCS and allowed us to use established groupings rather than taxonomic assignments based on the databases alone. Aligned sequences (of 250 bp length) were constructed into trees using the BOOSTER (BOOTstrap Support by Transfer) platform within the GTR model of the phyML software (v. 3.0; [33,34]). The standard options within the BOOSTER platform were used, which included: 100 bootstrap replicates, a random starting tree with the SPR option, transfer bootstrap normalized supports in place of the classical Fleinstein approach, six substitution rate categories, and optimized topology, branch lengths, and rate parameters [34]. Constructed trees were re-rooted, and rotated when necessary in FigTree (v. 1.4.4). An analogous treatment of sulfate reducing bacteria was also performed following the same methods.
3. Results
(a) Temporal observations
In 2012, the white filamentous microbial mat extended 70 m along the 10 m isobaths and consisted of discrete patches of white sediment, that microscopic inspection found to be composed of sheath forming bacteria analogous to the genus Beggiatoa common at methane seeps. The abundant seastar, Odontaster validus, was occasionally observed on the mat (figure 1). While additional cores were sieved on a 300 µm sieve, no macrofauna were observed within the sediment in 2012. In 2014, the site was visited and a single image identified the continued presence of the mat, however no samples were collected to characterize the microbial community. In 2016, the extensive mat retained its patchy white distribution but had been reduced in linear extent to 50 m. While cores were sieved for macrofauna again in 2016, only a single dorvilled polychaete was observed although adjacent to the mats, terebellid polychaetes were occasionally found during in situ sampling. During further exploration of the region, an additional linear area of seepage was observed at 7 m water depth that appeared to extend greater than 25 m in length. Owing to ice conditions, further exploration would have been unsafe so the full extent of this feature remains unknown. As we swam over this shallower site in 2012, and did not notice it, it is unlikely that the shallow (7 m water depth feature) was present at that time.
(b) Sediment biogeochemistry
Methane in the 10 m water depth area (CCS) of seepage had an isotopic signature of δ13C = −78 ± 1‰ and δ2H = −361 ± 16‰ (mean ± standard error presented throughout manuscript unless otherwise indicated; n = 3). The 7 m water depth feature (the ‘Shallow Site’) had a divergent value δ13C = −47 ± 1‰ and a δ2H of −401‰. The concentration of methane within the CCS increased with increasing sediment depth up to 0.7 ± 0.2 mM methane in porewater at 5 cm sediment depth (figure 2a). When sediment plugs rather than in situ porewater extraction was used to quantify methane, the same pattern of increasing methane with depth was also observed; methane increased up to 0.4 ± 0.1 µmol CH4 (sediment cm)−3 at 12 cm (figure 2b). Overlying water methane concentrations were below our minimum reliable detection limit of 30 nM. The Shallow Site had methane present uniformly throughout the top 7 cm of the single core sampled with a concentration of 0.4 µmol CH4 (sediment cm)−3. There was no clear sulfate-methane transition zone (SMTZ) present in any of the cores. The single non-quantitative, methane value measured from 2012 porewater was 32.6 mM CH4, indicating that methane was present in 2012.
Figure 2. (a) The porewater at the Cinder Cones Seep showed non-complete exhaustion of sulfate with depth and no clear sulfate methane transition zone as measured from in situ porewater extraction in 2016 (n = 3). (b) In 2016, mean concentration of methane increased with depth within the Cinder Cones Seep and was below our detection limit in the reference site in 2016 (n = 3). Samples were from sediment plugs spanning 3 cm depth horizons (n = 3). (c) The vertical distribution of the relative per cent of rRNA genes belonging to taxa known to be methane oxidizers at the Cinder Cones methane seep. Cores were collected adjacent to porewater collected in (a), or from the same cores as methane concentrations in (b) and thus are a reduced dataset in contrast to figure 3. ANME, ANaerobic MEthane oxidizing archaea. No ANME were detected in 2012. All data show mean and standard error of three cores from each of the sites. (Online version in colour.)
The ion and anion concentrations reflected shifting biogeochemistry with increasing depth that in many ways mirrored the pattern of methane (electronic supplementary material, table S1). At no point was sulfate fully depleted, ranging between 24 and 28 mM sulfate, with the lowest concentration measured at 5 cm depth (figure 2b). Sulfide was high, exceeding 2 mM at sediment depths from 1 cm to 5 cm and had an opposite distribution from sulfate and mirroring the depth pattern of methane. A sulfate–methane transition was not observed (figure 2b). A similar pattern was also present for nitrate, which decreased from the overlying water value of 13 µM to 1 µM NO3 with depth. Ammonium increased with depth to 0.4 mM NH3 at 5 cm depth within the sediment. Potassium, magnesium and calcium all varied by less than 0.5 mM with depth.
(c) Methane flux
Along the 10 m depth feature, methane flux was measured as 3.1 ± 0.9 mmol methane m−2 d−1 (n = 4 chamber deployments) from the areas of seepage. The reference site had no measurable flux within our detection limit, meaning it never exceeded 0.02 ± 0.02 mmol CH4 m−2 d−1 (n = 2 deployments; ± provides range).
(d) Grain size
The sediment underlying the microbial mats consisted of larger grain sizes than adjacent reference sediment. The clearest shift was the sum of grains larger than 495 μm where 41 ± 6% of sediment were found in this fraction in the microbial mat compared to only 13 ± 6% within this size fraction at the adjacent control sites; there was a significant difference in the relative proportions of larger grains (n = 3 at each site, t = 3.4; p = 0.027; electronic supplementary material, figure S1). Microscopic examination revealed that basalt grains were interlaced with a crystalline matrix similar in appearance to calcite.
(e) Microbial community
The relative abundance of ASVs identified as methane oxidizing taxa increased over the 5 years following the onset of seepage. The microbial community was characterized by greater than 1900 sequence of the V4 region of the 16S rRNA gene per sample post quality control (electronic supplementary material, Supplemental results). No ASVs of known ANME taxa were found in 2012 whereas in 2016, we recovered ASVs identified as ANME-1 in every core taken from the microbial mat (figure 2c). This pattern was not driven by sequencing effort as sequencing depth was similar in both years, with greater than 9 k sequences post quality control for all vertical fractions within the CCS in both years. In 2016, these ANME-1 ASVs reached a maximum 4.1% of the microbial ASVs within the mat and were not found at the reference, Shallow Seep or control sites. ASVs identified as Methylococcales, an aerobic methane-oxidizing bacteria, increased in their proportional abundance from 0.33 ± 0.17% in 2012 to 0.83 ± 0.53% in 2016. Methylococcales ASVs were also present at the reference site, reaching a maximum of 0.35 ± 0.37% of the community at 1 cm sediment depth. No other known methanotrophs were identified at any of the sites (electronic supplementary material, Supplemental results and Discussion).
An analysis of the Euryarchaeota illuminated the diversity of ANME in the Cinder Cones habitat (electronic supplementary material, figure S2). Phylogenetic analysis identified four taxa from the 2016 CCS that clustered within branches that included other ANME-2 taxa from known seep and reducing habitats. The ANME-2 clustering taxa were rare, never making up more than 0.04% relative abundance of the microbial community. Three sequences fell within a branch that included ANME-3 taxa however that branch also included cultured Methanococcoides methanogens and we do not interpret those sequences as belonging to ANME-3. The three ANME-1 ASVs were more than 97% similar, and were included as a single operational taxonomic unit that fell within a relatively well supported branch of other deep-sea vent and seep ANME-1. The closest ANME-1 relatives were from the Pacific Ocean including Eel River and a more proximate seep in New Zealand.
When looking at the overall community composition, the microbial community within the CCS became increasingly dissimilar from the reference sediment community from 2012 to 2016. The surface sediment communities in both 2012 and 2016 were distinct from the nearby reference communities and each other (figure 3a, PERMANOVA one-way analysis, psuedo-F3 = 6.63, p = 0.001; all pairwise comparisons were significant at p < 0.05). The overall trends were driven by an increase in the relative proportion of ASVs identified as sulfide-oxidizing bacteria (notably the non-mat forming Sulfurovum within the Campylobacterales) at the CCS compared to the reference and control sites and a decrease in these same sulfide-oxidizing ASVs from 2012 to 2016 within the CCS (figure 4; electronic supplementary material, figure S3B). Below the surface sediment layer, the microbial community in 2012 was not different from the adjacent reference site (figure 3b, PERMANOVA results provided in electronic supplementary material, table S2). The control sites remained significantly different from all seep and reference samples at all sediment depths. ASVs of sulfate-reducing Deltaproteobacteria were the most common constituents across all sites and sediment depths. Included in this group were multiple clades known to form syntrophic associations with ANME (SEEP-1,-2, and -4 SRB; electronic supplementary material, figure S4). The Archaeal ASVs were dominated by the Woesearchaeota at all sites but also included members of the Asgard group at the CCS and reference sites, including Heimdallarchaeia, Lokiarchaeia and Odinarchaeia (figure 4). Methane cycling was also not limited to ANME, ASVs from four groups associated with methanogenesis were present, including Methanosarcinales, Methanofastidiosales, Methanomassiliicoccales, in addition to Bathyarchaeia.
Figure 3. Non-metric multidimensional (nMDS) scaling to visualize microbial composition of the Cinder Cones methane seep (CCS) in comparison to reference (adjacent sediment) and control sites. (a) Surface sediment microbial composition demonstrating microbial shift over time at the CCS and in relation to control sites (all control sites are combined for this visualization). (b) nMDS showing all sites and depths sampled within the Ross Sea. Significant differences were present between control and both seep and reference sites. Statistical significance between sites are provided in the electronic supplementary material, table S2. S. Seep, Cinder Cones Shallow Seep; Turt. Rocks, Turtle Rocks; ref, reference site; cont, control site. (Online version in colour.) Figure 4. Per cent relative abundance of 16S rRNA genes identified as the indicated Bacteria (above) and Archaea (below) Orders in relation to vertical sediment depth across control (n = 7 cores at Turtle Rocks and Cinder Cones combined), the reference site (less than 2 m adjacent to seep; n = 4 cores), the Cinder Cones Seep itself in 2012 (n = 3 cores), and in 2016 (n = 12 cores). The 16 most dominant bacterial Orders, and 14 most dominant archaeal Orders are shown as they encompassed the dominant members of the community across all sites. (Online version in colour.)

4. Discussion
(a) Biogeochemical underpinnings of the seep
This CCS provides a unique opportunity to understand the biogeochemistry of a methane seep that is actively developing, contrasting with our understanding of seep biogeochemistry based on developed seep sites. The geochemistry of this seep, while in many ways perplexing, is not surprising when we take into consideration that it is a ‘new’ seep. Methane porewater concentrations were lower than expected at less than 1 mM however flux was 21 g methane m−2 d−1, which is similar to other seeps globally [35]. At established seeps, methane and sulfate are rarely found co-occurring as AOM exhausts the supply of sulfate and creates a sharp geochemical horizon within the sediment (known as the SMTZ). Changes in the depth of the SMTZ are driven by the rate of the AOM by ANME and can take years to centuries to stabilize following changes in methane seepage [36]. During multiple years of seepage in the CCS, ANME did not appear to be present and, thus, the driving force for the development of an SMTZ was absent. It is only with ANME becoming established at the CCS that a clear SMTZ should be expected to develop, however that development could take multiple years to decades.
The similarity of the microbial community to the adjacent reference site also provides insight into the trajectory of microbial response to methane input. Following the onset of seepage certain taxa responded prior to sampling in 2012 (i.e. Sulfurovum at the sediment surface and Methanosarcinales below the surface; figure 4), however it took between 1 and 5 years for seepage to overcome the biological inertia of the microbial community and shift the community composition below the sediment surface quantitatively. This can be clearly seen by no significant difference in the microbial communities below the sediment surface between the reference and 2012 CCS samples, and a divergence between the microbial community at the reference and 2016 CCS microbial community between 0 and 5 cm sediment depth (figure 3b). It is also important to note that the relative proportion of ASVs identified as Methylococcales continued to increase at the sediment surface from 2012 to 2016, suggesting that their population continued to change as a result of methane input on a multiyear timescale. Methylococcales ASVs were also present at the reference site, although methane concentrations were below our detection limit (figure 2b). The high porosity of the sediment may allow periodic advective mixing of porewater from the CCS into the reference sites which could have also led to the observed similarity between the microbial communities. Regardless, it remains clear that the CCS microbial community took multiple years to adapt to seepage.
While we have been able to identify the source of methane as microbial and supporting evidence that the seep is associated with subsurface fluid flow, it is unclear why the feature began seeping in 2011. Although the site itself occurs on the flank of an active volcano, stable isotopic analysis identified that the methane was produced by methanogenic archaea degrading an organic carbon source. When viewed in isolation, individual samples had δ2H and δ13C values that could indicate thermogenic methane (up to −320 and −48‰, respectively), however when both isotopes are viewed in concert all samples fell within the expected values for microbially produced methane (following [37]). Combining our porewater methane concentrations and methane flux, we calculate that fluid efflux from the sediment was 5.1 l m−2 d−1. This efflux suggests that the seep is fuelled by a significant subsurface fluid flow that advects in sulfide and methane to the microbial community. One hypothesis for this is that significant carbon burial led to fermentative methanogenesis in a quantity that was sufficient enough to, when paired with subsurface fluid flow, result in the formation of the seep structure. A logical source of this would be deposition of phytodetritus either from the annual phytoplankton bloom (sensu [38]) or significant input of ice algae and benthic diatom growth [39]; macroalgae is largely unknown from this region of McMurdo Sound and would be an unlikely cause.
We have no definitive geological explanation for the linear nature of both the 10 m and 7 m seep sites, yet cinder cone formation can often lead to diverse subsurface plumbing that could plausibly lead to the observed pattern of seepage. Cinder cones, normally formed as the result of explosive pyroclastic flows, can also form linear features of lava emission known as splatter ramparts or ‘curtains of fire’. Following the active period of cinder cones, complex subsurface fissures can also form providing potential conduits for fluid flow that could manifest on the surface as linear features [40]. The different grain size observed in the microbial mat compared to sediment directly adjacent is also congruent with the geological past leading to the surface manifestation of seepage. For now, the underlying cause for the conduit to become an area of active fluid flow in 2011 remains a mystery.
(b) Microbial response to methane input: a model system
Antarctica is estimated to have a vast reservoir of methane trapped underneath ice sheets [5]. With increasing loss of ice sheets, such as the current retreat of the West Antarctic Ice Sheet [41], it is predicted that a significant volume of organic carbon could be released leading to both methanogenesis as well as the release of methane from subsurface reservoirs. This methane would be exposed to both benthic and pelagic communities that are largely naive to the input of methane. Upon the release of methane from under the melting ice sheets, a new microbial niche would open up and probably fuel methanotrophy in both aerobic and anaerobic forms. This model is what has been observed at the CCS, where the novel release of methane from a reservoir resulted in the input of a new electron donor to the sediment, leading to a shift in the microbial community. This discovery has allowed us to constrain, albeit on a coarse time scale, the rate in which methanotrophic communities can respond to methane release in the Antarctic.
We found that it took between 1 and 5 years for the microbial community to respond to the introduction of methane to the sediment. Estimated to consume between 70 and 90% of the methane that is released by benthic reservoirs, anaerobic methane-oxidizing archaea are among the most important microbes in the mitigation of the greenhouse gas on our planet [10]. These taxa, while slow growing, can be highly abundant within the sediment, for example making up (in addition to their sulfate reducing syntrophic partners) 30% of the microbial community and reaching population densities of 1010 microbes cm−3 of the sediment [42]. In extreme cases, ANME have been shown to make up 50% of the total microbial community, although their abundance is often more in the range of 2–4% (of DNA) across a broad range of seep habitats [27]. In our samples, ANME ASVs were never more than 4.1% of the community, with few samples even reaching that proportion of the community and no ANME ASVs detected in the year 2012. With our sequencing depth (mean of 11 k sequence per depth horizon in 2012), if ANME were present in 2012 they made up less than 0.01% of the community. This result agrees with numerous other studies that have found it takes multiple years for microbial community to adapt, or begin to adapt, to the input of methane to the seafloor ecosystem [15,16].
(c) Antarctic endemism, unknown taxa or early succession?
Surprisingly, the ANME lineages present were different than emerging biogeographic patterns would have suggested. The dominant ANME group within the CCS were ANME-1 with a small subset of the community being composed of ANME 2a-b lineages (max = 0.04%). ANME-1 ASVs were present in every sediment core from the CCS in 2016. However, these taxa are thought to be less adapted to cold temperatures than ANME-2 [43] and are rarely the dominant ANME group [10]. Furthermore, one of the global dominant taxa ANME-2c (found at 83% of seeps; [10]), that we would have expected at the observed methane flux rates [44], was exceedingly rare (a total of four sequences out of 1.4 M). In addition, ANME-3, the dominant taxa at high latitude (the dormant Larson B seep; [21] and the HMMV; [22]) and cold-temperature seeps [45] were absent. This raises two potential possibilities for our observations: (i) there are taxa consuming methane that do not fall within the known groups of ANME as speculated by Saxton et al. [32]; or (ii) we are at an early successional stage of the microbial community.
The Antarctic is typified by a high proportion of endemic fauna, however, the impact of this on microbial biogeography is not completely known. The Drake Passage opened 30+ million years ago resulting in a strong oceanographic barrier to dispersal. This, combined with the subsequent cooling of the continent, has resulted in a high proportion of fauna found in the Antarctic being endemic at the genus level [46,47]. This same selection may have led to unique microbial groups, including methane oxidizing taxa that are currently not known from elsewhere. Within the McMurdo Dry Valleys, Saxton et al. [32] found the biogeochemical fingerprint of anaerobic methane oxidizing taxa but no known ANME lineages. In comparing Euryarchaeota between the CCS and the Dry Valley site, we found similar taxa including branches that appeared to fall within the Thermoplasmata and Methanomicrobiales. While different primers were used, and Archaea and rarer members of the community are especially sensitive to primer choice [48], the potential for endemic high latitude, Antarctic methanotrophs is provocative. Continued investigations at this site may help disentangle the role of novel methanotrophs and potential endemism versus ecological succession on the microbial community structure observed.
Microbial communities that take multiple years to adapt to methane release from Antarctica and the Southern Ocean may impact the role of Southern Ocean methane in global atmospheric forcing. A guiding principle in microbial ecosystems, known as the Baas-Becking hypothesis, is that ‘everything is everywhere and the environment selects’, however, we rarely consider the time scale that this environmental selection takes, even though this time scale could be on the order of years or more. When we traditionally model the impact of methane on the atmosphere we assume that the microbial oxidation of methane is complete and thus methane release will just increase the amount of CO2 into the atmosphere (sensu [5]). We show here that the response of the microbial ecosystem is not rapid enough to validate this assumption. We found that it took years for the beginnings of a methanotrophic community to develop in response to novel methane release.
The assumption that methanotrophs will respond rapidly to novel methane release is not supported across a variety of other ocean ecosystems including other sites in the Southern Ocean. Methane release from South Georgia island was not oxidized completely in the sediment [19]. Further, the water column dynamics of the Bransfield Straight lead to this region being a net source of methane into the atmosphere [49]. If we use shallow water habitats from the Arctic as a model [50], significant methane flux from the sediment into the atmosphere is possible. Here, we found that methane release on the order of 3 mmol m−2 d−1 continued after a minimum of 5 years after methane seepage began and highlights the importance of microbial succession in determining the magnitude of methane release in future climate scenarios. Including this variable in future modelling studies, such as the landmark work of Wadham et al. [5], would probably allow for better prediction of the role of the Southern Ocean in the global methane cycle and future global change.
(d) Summary
Here, we describe the formation and development of a novel methane seep in the High Antarctic and quantify the evolution of the microbial community over a 5 year time period. We found that it took up to 5 years for microorganisms capable of forming a methane ‘sediment filter’ to develop. In this time period we observed a sequential shift in the microbial community to a group of taxa that were unexpected based on the temperature, biogeochemical environment, and location. We also observed a continued release of methane out of the sediment surface after this time period. While the ultimate source of this methane remains unknown, the ability of the CCS to inform our understanding of microbial succession and to predict the magnitude of methane release from our oceans in response to warming and ice shelf retreat are significant. Although we focus on one particular area, the Ross Sea is an exciting area of methane research with observed bottom simulating reflectors indicative of methane hydrates present just north of our study site [51]. Our results suggest that the accuracy of future global climate models may be improved by considering the time it will take for microbial communities to respond to novel methane input.
Data accessibility
DNA Sequence: GenBank SRA Archives PRJNA387720. Final Amplicon Sequence Variant Table: Dryad Digital Repository: https://doi.org/10.5061/dryad.0zpc866vh [30]. Porewater Solute Composition: BCO-DMO doi:10.1575/1912/bco-dmo.770638.1.
Authors' contributions
A.R.T., S.S. and R.M.W. collected samples, processed those samples and wrote the manuscript. A.R.T. and S.S. prepared figures and did all data analysis. Funding for this project was obtained by A.R.T.
Competing interests
We declare we have no competing interests.
Funding
This work was supported by the National Science Foundation Office of Polar Program grants 1642570 and 1103428.
Acknowledgements
This work was made possible owing to information provided by Dr Stacy Kim who found the site. We thank Rob Robbins and Steve Rupp for their support of this research as well as the community of McMurdo station. We are indebted to R. Vega Thurber, A. Pasulka and V. Orphan for sample analysis and guidance on this work.
Footnotes
References
- 1.
Ruppel CD, Kessler JD . 2017The interaction of climate change and methane hydrates. Rev. Geophys. 55, 126-168. (doi:10.1002/2016RG000534) Crossref, ISI, Google Scholar - 2. Intergovernmental Panel on Climate Change. 2014Climate Change 2013—The Physical Science Basis: Working Group I Contribution to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge, UK: Cambridge University Press. Google Scholar
- 3.
Gålfalk M, Olofsson G, Crill P, Bastviken D . 2015Making methane visible. Nat. Clim. Chang. 6, 426-430. (doi:10.1038/nclimate2877) Crossref, ISI, Google Scholar - 4.
Boswell R, Collett TS . 2011Current perspectives on gas hydrate resources. Energy Environ. Sci. 4, 1206-1215. (doi:10.1039/C0EE00203H) Crossref, ISI, Google Scholar - 5.
Wadham JL 2012Potential methane reservoirs beneath Antarctica. Nature 488, 633-637. (doi:10.1038/nature11374) Crossref, PubMed, ISI, Google Scholar - 6.
Reeburgh WS . 2007Oceanic methane biogeochemistry. Chem. Rev. 107, 486-513. (doi:10.1021/cr050362v) Crossref, PubMed, ISI, Google Scholar - 7.
Orphan VJ, House CH, Hinrichs KU, McKeegan KD, DeLong EF . 2001Methane-consuming archaea revealed by directly coupled isotopic and phylogenetic analysis. Science 293, 484-487. (doi:10.1126/science.1061338) Crossref, PubMed, ISI, Google Scholar - 8.
Orphan VJ, Hinrichs KU, Ussler W, Paull CK, Taylor LT, Sylva SP, Hayes JM, Delong EF . 2001Comparative analysis of methane-oxidizing archaea and sulfate-reducing bacteria in anoxic marine sediments. Appl. Environ. Microbiol. 67, 1922-1934. (doi:10.1128/AEM.67.4.1922-1934.2001) Crossref, PubMed, ISI, Google Scholar - 9.
Orphan VJ, House CH, Hinrichs K-U, McKeegan KD, DeLong EF . 2002Multiple archaeal groups mediate methane oxidation in anoxic cold seep sediments. Proc. Natl Acad. Sci. USA 99, 7663-7668. (doi:10.1073/pnas.072210299) Crossref, PubMed, ISI, Google Scholar - 10.
Knittel K, Boetius A . 2009Anaerobic oxidation of methane: progress with an unknown process. Annu. Rev. Microbiol. 63, 311-334. (doi:10.1146/annurev.micro.61.080706.093130) Crossref, PubMed, ISI, Google Scholar - 11.
Mueller TJ, Grisewood MJ, Nazem-Bokaee H, Gopalakrishnan S, Ferry JG, Wood TK, Maranas CD . 2015Methane oxidation by anaerobic archaea for conversion to liquid fuels. J. Ind. Microbiol. Biotechnol. 42, 391-401. (doi:10.1007/s10295-014-1548-7) Crossref, PubMed, ISI, Google Scholar - 12.
Nauhaus K, Albrecht M, Elvert M, Boetius A, Widdel F . 2007In vitro cell growth of marine archaeal-bacterial consortia during anaerobic oxidation of methane with sulfate. Environ. Microbiol. 9, 187-196. (doi:10.1111/j.1462-2920.2006.01127.x) Crossref, PubMed, ISI, Google Scholar - 13.
Girguis PR, Orphan VJ, Hallam SJ, DeLong EF . 2003Growth and methane oxidation rates of anaerobic methanotrophic archaea in a continuous-flow bioreactor. Appl. Environ. Microbiol. 69, 5472-5482. (doi:10.1128/AEM.69.9.5472-5482.2003) Crossref, PubMed, ISI, Google Scholar - 14.
Steeb P, Linke P, Treude T . 2014A sediment flow-through system to study the impact of shifting fluid and methane flow regimes on the efficiency of the benthic methane filter. Limnol. Oceanogr. 12, 25-45. (doi:10.4319/lom.2014.12.25) Crossref, ISI, Google Scholar - 15.
Goffredi SK, Wilpiszeski R, Lee R, Orphan VJ . 2008Temporal evolution of methane cycling and phylogenetic diversity of archaea in sediments from a deep-sea whale-fall in Monterey Canyon, California. ISME J. 2, 204-220. (doi:10.1038/ismej.2007.103) Crossref, PubMed, ISI, Google Scholar - 16.
Ruff SE, Felden J, Gruber-Vodicka HR, Marcon Y, Knittel K, Ramette A, Boetius A . 2019In situ development of a methanotrophic microbiome in deep-sea sediments. ISME J. 13, 197-213. (doi:10.1038/s41396-018-0263-1) Crossref, PubMed, ISI, Google Scholar - 17.
Bell JB, Aquilina A, Woulds C, Glover AG, Little CTS, Reid WDK, Hepburn LE, Newton J, Mills RA . 2016Geochemistry, microbiotal composition and trophic structure in reducing sediments on the southwest South Georgia margin. R. Soc. Open Sci. 3, 160284. (doi:10.1098/rsos.160284) Link, ISI, Google Scholar - 18.
Geprägs P, Torres ME, Mau S, Kasten S, Römer M, Bohrmann G . 2016Carbon cycling fed by methane seepage at the shallow Cumberland Bay, South Georgia, sub-Antarctic. Geochem. Geophys. Geosyst. 17, 1401-1418. (doi:10.1002/2016GC006276) Crossref, ISI, Google Scholar - 19.
Römer M 2014First evidence of widespread active methane seepage in the Southern Ocean, off the sub-Antarctic island of South Georgia. Earth Planet. Sci. Lett. 403, 166-177. (doi:10.1016/j.epsl.2014.06.036) Crossref, ISI, Google Scholar - 20.
von Neuhoff H 2017Emissions of free gas from cross-shelf troughs of South Georgia: distribution, quantification, and sources for methane ebullition sites in Sub-Antarctic waters. R/V Meteor Cruise Report M134317, 220. Google Scholar - 21.
Niemann H 2009Biogeochemistry of a low-activity cold seep in the Larsen B area, western Weddell Sea, Antarctica. Biogeosciences 6, 2383-2395. (doi:10.5194/bg-6-2383-2009) Crossref, ISI, Google Scholar - 22.
Niemann H 2006Novel microbial communities of the Haakon Mosby mud volcano and their role as a methane sink. Nature 443, 854-858. (doi:10.1038/nature05227) Crossref, PubMed, ISI, Google Scholar - 23.
Lösekann T, Knittel K, Nadalig T, Fuchs B, Niemann H, Boetius A, Amann R . 2007Diversity and abundance of aerobic and anaerobic methane oxidizers at the Haakon Mosby Mud Volcano, Barents Sea. Appl. Environ. Microbiol. 73, 3348-3362. (doi:10.1128/AEM.00016-07) Crossref, PubMed, ISI, Google Scholar - 24.
Risk GF, Hochstein MP . 1974Heat flow at arrival heights, Ross Island, Antarctica. N. Z. J. Geol. Geophys. 17, 629-644. (doi:10.1080/00288306.1973.10421586) Crossref, ISI, Google Scholar - 25.
Kim S, Hammerstrom K, Dayton P . 2019Epifaunal community response to iceberg-mediated environmental change in McMurdo Sound, Antarctica. Mar. Ecol. Prog. Ser. 613, 1-14. (doi:10.3354/meps12899) Crossref, ISI, Google Scholar - 26.
Cline JD . 1969Spectrophotometric determination of hydrogen sulfide in natural waters. Limnol. Oceanogr. 14, 454-458. (doi:10.4319/lo.1969.14.3.0454) Crossref, ISI, Google Scholar - 27.
Seabrook S, De Leo F C, Baumberger T, Raineault N, Thurber AR . 2018Heterogeneity of methane seep biomes in the Northeast Pacific. Deep Sea Res. Part 2 Top. Stud. Oceanogr. 150, 195-209. (doi:10.1016/j.dsr2.2017.10.016) Crossref, ISI, Google Scholar - 28.
Apprill A, McNally S, Parsons R, Weber L . 2015Minor revision to V4 region SSU rRNA 806R gene primer greatly increases detection of SAR11 bacterioplankton. Aquat. Microb. Ecol. 75, 129-137. (doi:10.3354/ame01753) Crossref, ISI, Google Scholar - 29.
Bolyen E 2019Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2. Nat. Biotechnol. 37, 852-857. (doi:10.1038/s41587-019-0209-9) Crossref, PubMed, ISI, Google Scholar - 30.
Thurber AR, Seabrook S, Welsh RM . 2020Data from: Riddles in the cold: Antarctic endemism and microbial succession impact methane cycling in the Southern Ocean . Dryad Digital Repository. (https://doi.org/10.5061/dryad.0zpc866vh) Google Scholar - 31.
Gorley AM, Clarke KR . 2008PERMANOVA+ for PRIMER: guide to software and statistical methods. Plymouth, UK: PRIMER-E. Google Scholar - 32.
Saxton MA, Samarkin VA, Schutte CA, Bowles MW, Madigan MT, Cadieux SB, Pratt LM, Joye SB . 2016Biogeochemical and 16S rRNA gene sequence evidence supports a novel mode of anaerobic methanotrophy in permanently ice-covered Lake Fryxell, Antarctica. Limnol. Oceanogr. 61, S119-S130. (doi:10.1002/lno.10320) Crossref, ISI, Google Scholar - 33.
Guindon S, Dufayard J-F, Lefort V, Anisimova M, Hordijk W, Gascuel O . 2010New algorithms and methods to estimate maximum-likelihood phylogenies: assessing the performance of PhyML 3.0. Syst. Biol. 59, 307-321. (doi:10.1093/sysbio/syq010) Crossref, PubMed, ISI, Google Scholar - 34.
Lemoine F, Entfellner JBD, Wilkinson E, Correia D, Felipe MD, De Oliveira T, Gascuel O . 2018Renewing Felsenstein's phylogenetic bootstrap in the era of big data. Nature 556, 452-456. (doi:10.1038/s41586-018-0043-0) Crossref, PubMed, ISI, Google Scholar - 35.
Hovland M, Judd AG, Burke RA . 1993The global flux of methane from shallow submarine sediments. Chemosphere 26, 559-578. (doi:10.1016/0045-6535(93)90442-8) Crossref, ISI, Google Scholar - 36.
Hong W-L, Torres ME, Carroll J, Crémière A, Panieri G, Yao H, Serov P . 2017Seepage from an arctic shallow marine gas hydrate reservoir is insensitive to momentary ocean warming. Nat. Commun. 8, 15745. (doi:10.1038/ncomms15745) Crossref, PubMed, ISI, Google Scholar - 37.
Whiticar MJ . 1999Carbon and hydrogen isotope systematics of bacterial formation and oxidation of methane. Chem. Geol. 161, 291-314. (doi:10.1016/S0009-2541(99)00092-3) Crossref, ISI, Google Scholar - 38.
Dayton PK, Oliver JS . 1977Antarctic soft-bottom benthos in oligotrophic and eutrophic environments. Science 197, 55-58. (doi:10.1126/science.197.4298.55) Crossref, PubMed, ISI, Google Scholar - 39.
Dayton PK, Watson D, Palmisano A, Barry JP, Oliver JS, Rivera D . 1986Distribution patterns of benthic microalgal standing stock at McMurdo Sound, Antarctica. Polar Biol. 6, 207-213. (doi:10.1007/BF00443397) Crossref, ISI, Google Scholar - 40.
Sánchez MC, Sarrionandia F, Ibarguchi JIG . 2014Post-depositional intrusion and extrusion through a scoria and spatter cone of fountain-fed nephelinite lavas (Las Herrerías volcano, Calatrava, Spain). Bull. Volcanol. 76, 860. (doi:10.1007/s00445-014-0860-4) Crossref, ISI, Google Scholar - 41.
Joughin I, Smith BE, Medley B . 2014Marine ice sheet collapse potentially under way for the Thwaites Glacier Basin, West Antarctica. Science 344, 735-738. (doi:10.1126/science.1249055) Crossref, PubMed, ISI, Google Scholar - 42.
Marlow JJ, Steele JA, Case DH, Connon SA, Levin LA, Orphan VJ . 2014Microbial abundance and diversity patterns associated with sediments and carbonates from the methane seep environments of Hydrate Ridge, OR. Front. Mar. Sci. 1, 44. Crossref, ISI, Google Scholar - 43.
Nauhaus K, Treude T, Boetius A . 2005Environmental regulation of the anaerobic oxidation of methane: a comparison of ANME-I and ANME-II communities. Environ. Microbiol. 7, 98-106. (doi:10.1111/j.1462-2920.2004.00669.x) Crossref, PubMed, ISI, Google Scholar - 44.
Knittel K, Lösekann T, Boetius A, Kort R, Amann R . 2005Diversity and distribution of methanotrophic archaea at cold seeps. Appl. Environ. Microbiol. 71, 467-479. (doi:10.1128/AEM.71.1.467-479.2005) Crossref, PubMed, ISI, Google Scholar - 45.
Ruff SE, Biddle JF, Teske AP, Knittel K, Boetius A, Ramette A . 2015Global dispersion and local diversification of the methane seep microbiome. Proc. Natl Acad. Sci. USA 112, 4015-4020. (doi:10.1073/pnas.1421865112) Crossref, PubMed, ISI, Google Scholar - 46.
Dayton PK, Mordida BJ, Bacon F . 1994Polar marine communities. Integr. Comp. Biol. 34, 90-99. Google Scholar - 47.
Linse K, Griffiths HJ, Barnes DKA, Clarke A . 2006Biodiversity and biogeography of Antarctic and sub-Antarctic mollusca. Deep Sea Res. Part 2 Top. Stud. Oceanogr. 53, 985-1008. Crossref, ISI, Google Scholar - 48.
Fischer MA, Güllert S, Neulinger SC, Streit WR, Schmitz RA . 2016Evaluation of 16S rRNA gene primer pairs for monitoring microbial community structures showed high reproducibility within and low comparability between datasets generated with multiple archaeal and bacterial primer pairs. Front. Microbiol. 7, 1297. (doi:10.3389/fmicb.2016.01297) Crossref, PubMed, ISI, Google Scholar - 49.
Tilbrook BD, Karl DM . 1994Dissolved methane distributions, sources, and sinks in the western Bransfield Strait, Antarctica. J. Geophys. Res. 99, 16383. (doi:10.1029/94JC01043) Crossref, ISI, Google Scholar - 50.
Shakhova N 2013Ebullition and storm-induced methane release from the East Siberian Arctic Shelf. Nat. Geosci. 7, 64. (doi:10.1038/ngeo2007) Crossref, ISI, Google Scholar - 51.
Geletti R, Busetti M . 2011A double bottom simulating reflector in the western Ross Sea, Antarctica. J. Geophys. Res. 116, 235. (doi:10.1029/2010JB007864) Crossref, ISI, Google Scholar



