Phylogeny of γ-proteobacteria inferred from comparisons of 3’ end 16S rRNA gene and 5’ end 16S-23S ITS nucleotide sequences
Bibliographic record
Abstract
The phylogeny of γ-proteobacteria was inferred from nucleotide sequence comparisons of a short 232 nucleotide sequence marker. A total of 64 γ-proteobacterial strains from 13 Orders, 22 families, 40 genera and 59 species were analyzed. The short 232 nucleotide sequence marker used here was a combination of a 157 nucleotide sequence at the 3’ end of the 16S rRNA gene and a 75 nucleotide sequence at the 5’ end of the 16S-23S Internal Transcribed Spacer (ITS) sequence. Comparative analyses of the 3’ end of the 16S rRNA gene nucleotide sequence showed that the last 157 bp were conserved among strains from same species and less conserved in more distantly related species. This 157 bp sequence was selected as the first part in the construction of our nucleotide sequence marker. A bootstrapped neighbor-joining tree based on the alignment of this 157 bp was constructed. This 157 bp could distinguish γ-proteobacterial species from different genera from same family. Closely related species could not be distinguished. Next, an alignment of the 16S-23S ITS nucleotide sequences of alleles from same bacterial strain was performed. The first 75 bp at the 5’ end of the 16S-23S ITS was highly conserved at the intra-strain level. It was selected as the second part in the construction of our nucleotide sequence marker. Finally, a bootstrapped neighbor-joining tree based on the alignment of this 232 bp sequence was constructed. Based on the topology of the neighbour-joining tree, four major Groups, Group I to IV, were revealed with several sub-groups and clusters. Our results, based on the 232 bp sequence were, in general, in agreement with the phylogeny of γ-proteobacteria based on the 16S rRNA gene. The use of this 232 bp sequence as a phylogenetic marker presents several advantages over the use of the entire 16S rRNA gene or the generation of extensive phenotypic and genotypic data in phylogenetic analyses. First, this marker is not allele-dependant. Second, this 232 bp marker contains 157 bp from the 3’ end of the 16S rRNA gene and 75 bp from the 5’ end of the 16S-23S ITS. The 157 bp allows discrimination among distantly related species. Owing to its higher rate of nucleotide substitutions, the 75 bp adds discriminating power among closely related species from same genus and closely related genera from same family. Because of its higher percentage of nucleotide sequence divergence than the 16S rRNA gene, the 232 bp marker can better discriminate among closely related γ-proteobacterial species. Third, the method is simple, rapid, suited to large screening programs and easily accessible to most laboratories. Fourth, this marker can also reveal γ-proteobacterial species which may appear misassigned and for which additional characterization appear warranted.
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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 | 0.001 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".