Diversification, niche adaptation, and evolution of a candidate phylum thriving in the deep Critical Zone
Bibliographic record
Abstract
The deep subsurface soil microbiome encompasses a vast amount of understudied phylogenetic diversity and metabolic novelty, and the metabolic capabilities and ecological roles of these communities remain largely unknown. We observed a widespread and relatively abundant bacterial phylum (CSP1-3) in deep soils and evaluated its phylogeny, ecology, metabolism, and evolutionary history. Genome analysis indicated that members of CSP1-3 were actively replicating in situ and were widely involved in the carbon, nitrogen, and sulfur cycles. We identified potential adaptive traits of CSP1-3 members for the oligotrophic deep soil environments, including a mixotrophic lifestyle, flexible energy metabolisms, and conservation pathways. The ancestor of CSP1-3 likely originated in an aquatic environment, subsequently colonizing topsoil and, later, deep soil environments, with major CSP1-3 clades adapted to each of these distinct niches. The transition into the terrestrial environment was associated with genome expansion, including the horizontal acquisition of a range of genes for carbohydrate and energy metabolism and, in one lineage, high-affinity terminal oxidases to support a microaerophilic lifestyle. Our results highlight the ecology and genome evolution of microbes in the deep Critical Zone.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 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".