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Record W4387741183 · doi:10.3897/aca.6.e108883

Glacial secrets uncovered: Revealing the modes of survival of metabolically active microbial communities entrapped in polar glacial ice

2023· article· en· W4387741183 on OpenAlexafffundabout
Brady O'Connor, Lyle G. Whyte

Bibliographic record

VenueARPHA Conference Abstracts · 2023
Typearticle
Languageen
FieldEnvironmental Science
TopicPolar Research and Ecology
Canadian institutionsMcGill University
FundersNatural Sciences and Engineering Research Council of CanadaCanadian Space AgencyFonds Québécois de la Recherche sur la Nature et les Technologies
KeywordsGlacial periodGlacierMeltwaterEarth scienceAstrobiologyPhysical geographyBiogeochemical cycleEcologyGeologyGeographyGeomorphologyBiology

Abstract

fetched live from OpenAlex

Glaciers, once dismissed as inhospitable environments, have been overlooked in scientific investigations. Previous studies have primarily focused on the supraglacial (cryoconite holes, snow, and meltwater) and subglacial (bedrock and soils, among others) environments, neglecting the englacial (inside ice) realm. Despite evidence demonstrating the survival of cells in glacial/sea ice (Christner 2000, Junge et al. 2002, Miteva et al. 2004, Miteva and Brenchley 2005) and theoretical predictions and indirect evidence hinting at active microbial communities within glacial ice (Krembs et al. 2002, Junge et al. 2004, Price and Sowers 2004, Tung et al. 2005, Tung et al. 2006, Rohde et al. 2008), the englacial environment has remained largely unexplored. Recognizing that englacial ice hosts potentially active microbial communities carries significant implications for the future of these habitats in the face of escalating global warming and glacial retreat. As glaciers rapidly melt due to the effects of global warming, the liberation of these microbial communities will undoubtedly exert profound effects on local ecosystems and biogeochemical cycles, presenting an array of unknown consequences. Furthermore, considering the ability of microbial communities to persist in such extreme conditions on Earth, they become intriguing subjects for the search for life on celestial bodies such as Mars, Europa, Enceladus, and Titan, all of which house vast ice deposits. However, several fundamental questions persist. The extent of metabolic activity in glacial ice remains uncertain, as does the identification of microorganisms capable of sustaining metabolic processes. Most importantly, understanding the survival strategies employed by these organisms in such an extreme environment remains unknown. To answer these questions, we present metagenomes and what we believe to be the first metatranscriptomes ever analyzed from glacial ice. We have developed a method which allows us to melt ice cores without altering the mRNA profile of the microorganisms within, allowing us to directly determine how microorganisms are able to survive in such a hostile environment. One-to-two-meter cores were taken from the surface of White Glacier, Axel Heiberg Island and from the Devon Island ice cap, both in the Canadian High Arctic. A depth of 70 – 90 cm and 131 – 151 cm was chosen for analysis from White Glacier and Devon Island respectively. In the lab, to remove surface contamination from the cores, the outer 0.5 cm of the cores was removed, and the inner cores were sprayed with 70% ethanol. The decontaminated core subsections were melted at 4°C directly into DNA/RNA Shield (1:1 ratio) which preserved the microbial communities on contact, preventing changes to the metagenome or metatranscriptome during melt. Melted samples were filtered and nucleic acids extracted before DNA and RNA sequenced on an Illumina NovaSeq 6000 sequencer. Sequencing yield from Devon ice cap was low, resulting in few metagenomic and metatranscriptomic sequences however White Glacier produced a metagenome of 46 million reads and a metatranscriptome of 56 million reads. These data revealed that White Glacier is dominated by Cyanobacteria and Actinobacteria and the Devon ice cap is dominated by Proteobacteria. Furthermore, metatranscriptomic analysis of microorganisms from White Glacier revealed a metabolically active microbial community reliant on oxygenic photosynthesis, and carbon fixation via the Calvin and 3-hydroxypropionate Cycles. Transcripts related to aerobic respiration, aerobic carbon monoxide oxidation, sulfur oxidation, nitrite oxidation, nitric and nitrous oxide reduction and anoxygenic photosynthesis were also present. Cold adapted microorganisms possess many mechanisms to deal with low temperatures and the microbial community of White Glacier is no different. Cold response genes were highly expressed, principally membrane and peptidoglycan modifying proteins which increase membrane and cell wall fluidity at low temperatures, translation and transcription factors which increase the efficiency of protein synthesis at low temperatures, and cold shock proteins which stabilize RNA at low temperatures. Two high and five medium quality metagenome assembled genomes (MAGs) were also recovered from the White Glacier ice core, including a 99.86% complete Coleofasciculaceae Cyanobacterial genome with transcripts mapping to its genome related to aerobic respiration, oxygenic photosynthesis, carbon fixation (Calvin cycle) and nitrous oxide reduction. Transcripts related to cold response included those from categories such as cold shock proteins, DNA repair, membrane and peptidoglycan alteration, osmotic stress, and transcription and translation factors. Transcripts involved in DNA replication even mapped to the genome of this organism indicating it was capable of cell division in the ice. Overall, our research suggests that englacial ice can support an active microbial community where Cyanobacteria act as primary producers, generating energy from photosynthesis and fixing carbon from trapped atmospheric CO 2 . Carbon monoxide is also used as an energy source. As expected, cold adaptation genes are widespread and highly expressed indicating a community highly adapted to life in glacial environments and which may even be capable of growth. This research is significant because it presents the first metatranscriptomic profile of microorganisms trapped within glaciers, challenging preconceived notions about the habitability of ice. These results carry profound implications for the field of astrobiology and the quest to uncover signs of life within Martian glaciers or the ice-covered surfaces of Europa, Enceladus, and Titan.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.845
Threshold uncertainty score0.991

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.037
GPT teacher head0.280
Teacher spread0.243 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2023
Admission routes3
Has abstractyes

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