The microbial diversity of a sulfur-rich and saline cold pool in the Canadian high Arctic
Bibliographic record
Abstract
Currently, the surface of Mars cannot sustain liquid water, but there is evidence suggesting that water was present in the Noachian. Although water might exist in the subsurface of Mars, it could not sustain in the present day unless it was highly saline. Thus, saline springs in polar desert environments are analogues with which to investigate martian conditions. An example of this is Axel Heiberg Island, located in a region of continuous permafrost in the Canadian High Arctic, which hosts sulfidic and highly saline springs. In this study, cultivation-dependant and independent techniques were used to investigate the microbial diversity of a sediment sample collected from a saline cold (3–8 °C) pool at Colour Peak Springs on Axel Heiberg. Both DNA and RNA were extracted from the samples, and the microbial community was characterised using the 16S rRNA gene from the extracted nucleic acids. The metabolic profile was characterised by screening DNA and cDNA for functional genes relating to the cycling of carbon (coxL, xoxF, cbbL), nitrogen (nifH, nosZ, nod) and sulfur (dsrB, soxB). The community profiles were used to inform enrichment strategies, allowing for the isolation and characterisation of several halophilic isolates including strains of Marinobacter, Halomonas, Halanaerobium and Loktanella. Through this work we have been able to develop an in-depth characterisation of the metabolic and phylogenetic diversity that is present and viable within this analogue site. This allows us to start building an understanding of the underlying mechanisms and strategies that enable organisms to persist in these environments.
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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 | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| 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".