Analysis of carbohydrate-active enzymes in <i>Thermogemmatispora</i> sp. strain T81 reveals carbohydrate degradation ability
Bibliographic record
Abstract
The phylum Chloroflexi is phylogenetically diverse and is a deeply branching lineage of bacteria that express a broad spectrum of physiological and metabolic capabilities. Members of the order Ktedonobacteriales, including the families Ktedonobacteriaceae, Thermosporotrichaceae, and Thermogemmatisporaceae, all have flexible aerobic metabolisms capable of utilizing a wide range of carbohydrates. A number of species within these families are considered cellulolytic and are capable of using cellulose as a sole carbon and energy source. In contrast, Ktedonobacter racemifer, the type strain of the order, does not appear to possess this cellulolytic phenotype. In this study, we confirmed the ability of Thermogemmatispora sp. strain T81 to hydrolyze cellulose, determined the whole-genome sequence of Thermogemmatispora sp. T81, and using comparative bioinformatics analyses, identified genes encoding putative carbohydrate-active enzymes (CAZymes) in the Thermogemmatispora sp. T81, Thermogemmatispora onikobensis, and Ktedonobacter racemifer genomes. Analyses of the Thermogemmatispora sp. T81 genome identified 64 CAZyme gene sequences belonging to 57 glycoside hydrolase families. The genome of Thermogemmatispora sp. T81 encodes 19 genes for putative extracellular CAZymes, similar to the number of putative extracellular CAZymes identified in T. onikobensis (17) and K. racemifer (17), despite K. racemifer not possessing a cellulolytic phenotype. These results suggest that these members of the order Ktedonobacteriales may use a broader range of carbohydrate polymers than currently described.
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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 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".