Targeting clusters of transferred genes in <i>Thermotoga maritima</i>
Bibliographic record
Abstract
We screened a Thermotoga sp. strain RQ2 lambda library for genes present in that strain but absent from the closely related completely sequenced relative Thermotoga maritima strain MSB8, by using probes generated in an earlier genomic subtraction study. Five lambda insert fragments were sequenced, containing, respectively, an archaeal type ATPase operon, rhamnose biosynthetic genes, ORFs with similarity to an arabinosidase, a Thermotoga sp. strain RQ2-specific alcohol dehydrogenase and a novel archaeal Mut-S homologue. All but one of these fragments contained additional Thermotoga sp. strain RQ2-specific sequences not screened for, suggesting that many such strain-specific genes will be found clustered in the genome. Moreover, phylogenetic analyses, phylogenetic distribution and/or G + C content suggests that all the Thermotoga sp. strain RQ2 specific sequences in the sequenced lambda clones have been acquired by lateral gene transfer. We suggest that the use of strain-specific small insert clones obtained by subtractive hybridization to target larger inserts for sequencing is an efficient, economical way to identify environmentally (or clinically) relevant interstrain differences and novel gene clusters, and will be invaluable in comparative genomics.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".