Divergence among Genes Encoding the Elongation Factor Tu of <i>Yersinia</i> Species
Bibliographic record
Abstract
Elongation factor Tu (EF-Tu), encoded by tuf genes, carries aminoacyl-tRNA to the ribosome during protein synthesis. Duplicated tuf genes (tufA and tufB), which are commonly found in enterobacterial species, usually coevolve via gene conversion and are very similar to one another. However, sequence analysis of tuf genes in our laboratory has revealed highly divergent copies in 72 strains spanning the genus Yersinia (representing 12 Yersinia species). The levels of intragenomic divergence between tufA and tufB sequences ranged from 8.3 to 16.2% for the genus Yersinia, which is significantly greater than the 0.0 to 3.6% divergence observed for other enterobacterial genera. We further explored tuf gene evolution in Yersinia and other Enterobacteriaceae by performing directed sequencing and phylogenetic analyses. Phylogenetic trees constructed using concatenated tufA and tufB sequences revealed a monophyletic genus Yersinia in the family Enterobacteriaceae. Moreover, Yersinia strains form clades within the genus that mostly correlate with their phenotypic and genetic classifications. These genetic analyses revealed an unusual divergence between Yersinia tufA and tufB sequences, a feature unique among sequenced Enterobacteriaceae and indicative of a genus-wide loss of gene conversion. Furthermore, they provided valuable phylogenetic information for possible reclassification and identification of Yersinia species.
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How this classification was reachedexpand
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 | 0.000 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".