MétaCan
Menu
Back to cohort
Record W7161815090 · doi:10.82308/4302

Characterization of active microbial communities in extreme High Arctic cold saline spring systems with meta’omics

2023· dissertation· en· W7161815090 on OpenAlexaboutno aff
Elisse Magnuson

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldEnvironmental Science
TopicPolar Research and Ecology
Canadian institutionsnot available
Fundersnot available
KeywordsArchaeaMicrobial population biologyMicrobial matExtreme environmentGammaproteobacteriaAnoxic watersExtremophileCold seepGeomicrobiologySulfate

Abstract

fetched live from OpenAlex

Cryoenvironments, or environments with continuously sub-zero temperatures, present unique challenges to microbial life, including freezing temperatures and high solute concentrations. Study of inhabitant microbes informs our understanding of the cold and saline limits of life on Earth and extraterrestrial bodies. Lost Hammer and Gypsum Hill springs, located on Axel Heiberg Island, Nunavut, in the Canadian High Arctic, are rare examples of perennial cold springs arising in an area of thick permafrost. These springs are perennially sub- or near-zero (-5 to 7°C), hypersaline (7-24%), and anoxic (<1 ppm O2). Lost Hammer is also the coldest known terrestrial methane seep on Earth. Multi-omics methods were used to characterize the metabolic activities and adaptations sustaining microbial life in situ in these extreme environments. In Lost Hammer, a combination of metagenomics, single-amplified genomics, and metatranscriptomics identified a predominantly lithotrophic active microbial community in the sediment utilizing inorganic compounds (hydrogen sulfide, hydrogen, carbon dioxide) as energy and carbon sources, driven in part by sulfide-oxidizing Gammaproteobacteria scavenging trace oxygen. Genomes from active methane-oxidizing archaea (ANME-1), the first identified under ambient sub-zero and hypersaline conditions, showed evidence of putative metabolic flexibility and cold and saline adaptations. Evidence of anaerobic heterotrophic and fermentative lifestyles were identified in candidate phyla DPANN archaea and CG03 bacteria. In Gypsum Hill, metagenomic and metatranscriptomic sequencing and isotopic analysis identified an active microbial community in the spring sediment dominated by sulfur cycling Desulfobacterota and Gammaproteobacteria. Sulfate reduction was dominated by hydrogen-oxidizing chemolithoautotrophic Desulfovibrionaceae sp. and was identified in phyla not typically associated with sulfate reduction in novel lineages of Spirochaetota and Bacteroidota. Highly abundant and active sulfur-reducing Desulfuromusa sp. expressed non-coding RNAs associated with transcriptional regulation, showing potential evidence of putative metabolic flexibility in response to substrate availability. Despite low oxygen availability, sulfide oxidation was primarily attributed to aerobic chemolithoautotrophic Halothiobacillaceae. In the Gypsum Hill spring outflow channels, seasonal microbial streamers were formed by a novel chemolithoautotrophic Thiomicrorhabdus sp. oxidizing sulfide to elemental sulfur. The Thiomicrorhabdus sp. genome contained osmotic and cold stress adaptations, including for the production of extracellular polymeric substances suggested to promote streamer formation and provide cold stress protection. This study identified active, predominantly chemolithoautotrophic microbial communities in extreme cold and hypersaline Arctic springs, providing insights into how microbial life is sustained in Earth’s cryosphere and what types of microbial life could exist in analogous environments on Mars and other astrobiology targets

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.006
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.047
GPT teacher head0.245
Teacher spread0.198 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2023
Admission routes1
Has abstractyes

Explore more

Same topicPolar Research and EcologyFrench-language works237,207