Cloacimonadota metabolisms include adaptations in engineered environments that are reflected in the evolutionary history of the phylum
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Phylum Cloacimonadota (previously Cloacimonetes, WWE1) is an understudied bacterial lineage frequently associated with engineered and wastewater systems. Cloacimonadota members were abundant and diverse in metagenomic datasets from a municipal landfill, prompting an examination of phylogenetic relationships, metabolic diversity, and pangenomic dynamics across the phylum, based on the 30 publicly available genomes and 24 new metagenome-assembled genomes (MAGs) from landfill samples. We found that Cloacimonadota have distinct evolutionary histories associated with engineered versus natural environments and identified genomic features and metabolic strategies that correlate to habitat of origin. Metabolic reconstructions for MAGs predict an anaerobic, acetogenic, and mixed fermentative and flavin-bifurcation-based anaerobic respiratory lifestyle for the majority of Cloacimonadota surveyed. Genomes from engineered ecosystems encode a suite of genes not typically found in genomes from natural environments including acetate kinase, genes for cysteine degradation to pyruvate, increased diversity of carbon utilization enzymes, and different mechanisms for generating membrane potential and ATP synthesis. This phylum-level examination also clarifies the distribution of functions previously observed for members of the phylum, where propionate oxidation and reverse TCA cycles are not common components of Cloacimonadota metabolism.
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.
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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 it