Phylogenetic Analyses of Two “Archaeal” Genes in Thermotoga maritima Reveal Multiple Transfers Between Archaea and Bacteria
Bibliographic record
Abstract
The genome sequence of Thermotoga maritima revealed that 24% of its open reading frames (ORFs) showed the highest similarity scores to archaeal genes in BLAST analyses. Here we screened 16 strains from the genus Thermotoga and other related Thermotogales for the occurrence of two of these "archaeal" genes: the gene encoding the large subunit of glutamate synthase (gltB) and the myo-inositol 1P synthase gene (ino1). Both genes were restricted to the Thermotoga species within the Thermotogales. The distribution of the two genes, along with results from phylogenetic analyses, showed that they were acquired from Archaea during the divergence of the Thermotogales. Database searches revealed that three other bacteria-Dehalococcoides ethenogenes, Sinorhizobium meliloti, and Clostridium difficile-possess archaeal-type gltBs, and the phylogenetic analyses confirmed at least two lateral gene transfer (LGT) events between Bacteria and Archaea. These LGT events were also strongly supported by gene structure data, as the three domains in bacterial-type gltB are homologous to three independent ORFs in Archaea and Bacteria with archaeal-type gltBs. The ino1 gene has a scattered distribution among Bacteria, and apart from the Thermotoga strains it is found only in Aquifex aeolicus, D. ethenogenes, and some high-G+C Gram-positive bacteria. Phylogenetic analysis of the ino1 sequences revealed three highly supported prokaryotic clades, all containing a mixture of archaeal and bacterial sequences, and suggested that all bacterial ino1 genes had been recruited from archaeal donors. The Thermotoga strains and A. aeolicus acquired this gene independently from different archaeal species. Although transfer of genes from hyperthermophilic Archaea may have facilitated the evolution of bacterial hyperthermophily, between-domain transfers also affect mesophilic species. For hyperthermophiles, we hypothesize that LGT may be as much a consequence as the cause of adaptation to hyperthermophily.
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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".