Microbiology of the sulfur-dominated glacial ecosystem at Borup Fiord Pass, and high arctic low-temperature spring associated microbial mats, The
Bibliographic record
Abstract
Borup Fiord Pass (BFP) located on Ellesmere Island in the Canadian High Arctic is a unique low-temperature environment.BFP is a sulfur-dominated ecosystem that occurs within the Krieger mountains.Here, a subglacial spring emergences from the toe of a coalescence glacier.The presence of high concentrations of sulfur and low temperatures make BFP an excellent terrestrial analog for the study of potential astrobiological targets.High concentrations of sulfur also make BFP an ideal location for studying how microbial organisms can utilize reduced and oxidized forms of sulfur to thrive in cold environments.Yet, due to human influence Arctic research sites may not remain cold perpetually also making the location ideal to study climate change.Over field campaigns in 2014, 2016, and 2017, numerous samples were collected and analyzed for microbial community composition (16S rRNA gene sequencing), function (metagenomic sequencing), and aqueous geochemistry.16S rRNA gene sequencing data revealed Flavobacterium was common to almost all samples.Sulfur-oxidizing microorganisms (Sulfurimonas, Sulfurovum, and Sulfuricurvum), and an organism that specializes in the disproportionation of inorganic sulfur compounds (Desulfocapsa) were also abundant in samples with high concentrations of sulfur compounds.To link the identified microbial taxa to function, assembly and binning of metagenomic sequence data was carried out and produced 31 reportable metagenome assembled genomes (MAGs), which revealed that sulfur oxidation may be a cosmopolitan process at BFP.Overall, results suggest that while sulfur cycling organisms dominate during acute events, a basal community structure appears to dominate over time and site type and that functional redundancy may be a key mechanism utilized by microorganisms for energy generation in this low-temperature environment.Finally, to address the changing Arctic climate the community composition and function of microbial iv mats found across Ellesmere Island was characterized.To my knowledge these are the most northern microbial mats ever identified, potentially acting as a barometer to study climate change and its effect on polar environments.Microbial community composition varied significantly between sample sites.Metagenomes were sequenced from one site, Ice River, revealing the potential for sulfur oxidation, nitrate/nitrite reduction, and carbon fixation via the reductive acetyl-CoA and reverse TCA cycles.Also found were genes that allow microorganisms to adapt to adverse conditions in extreme environments.High Arctic microbial communities help to guide our search for potential life on extraterrestrial worlds, and further enhance our knowledge of low-temperature ecosystems on Earth as our climate continues to change.v
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".