Sequence analysis of<i>rpoB</i>and<i>rpoD</i>gene fragments reveals the phylogenetic diversity of actinobacteria of genus Frankia
Bibliographic record
Abstract
Partial rpoD, rpoB, and 16S rRNA gene sequences were obtained from databases and (or) amplified from 12 strains of Frankia. These strains belonged to either Cluster 1 (Alnus-, Myrica-, Comptonia-, and Casuarina-infective strains) or Cluster 3 (Elaeagnus-infective strain). An rpoD gene-based PCR approach was designed to allow the detection of frankiae in complex samples. Additionally, partial gene sequences obtained using 2 rpoB gene primer sets (named rpoB-1 and rpoB-2) were used to generate phylogenetic eurograms to find a molecular tool able to assess biodiversity among Frankia strains. The rpoB-2 primer set allowed separation of closely related strains and groupings representative of host plant compatibility groups. One exception to this was for strains ACN10a and ACN14a, isolated from the same geographical location. Results obtained showed that rpoB-2 is a tool of great interest to evaluate relatedness of Frankia strains, and assess biodiversity in this genus. Additionally, since rpoB-2 phylogenetic profiles of the Frankia strains studied reflected the species of host plants they were isolated from, the study of rpoB (a house-keeping gene) shows promise for future ecological studies on these symbioses.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| 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".