Detection and identification of the heterogeneous novel subgroup 16SrXIII-(A/I)I phytoplasma associated with strawberry green petal disease and Mexican periwinkle virescence
Bibliographic record
Abstract
Phytoplasmas (species of the genus 'CandidatusPhytoplasma') are insect-vectored phytopathogenic bacteria associated with economically and ecologically important crop diseases. Strawberry production represents an important part of agricultural activity in Mexico and elsewhere, and infection of plants with phytoplasma renders the fruit inedible by altering plant development, resulting in virescence and phyllody. In this study we examined samples taken from four strawberry plants showing symptoms associated with strawberry green petal disease and from two periwinkle plants showing virescence, sampled in different areas of Mexico. Analysis of the 16S rRNA-encoding sequences showed that the plants were infected with a phytoplasma previously identified as Mexican periwinkle virescence (MPV; 16SrXIII). Examination of bacterial sequences from these samples revealed that two distinct 16S rRNA gene sequences were present in each sample along with a single chaperonin-60 (cpn60) sequence and a single rpoB sequence, suggesting that this strain displays 16S rRNA gene sequence heterogeneity. Two distinct rrn operons, identified with subgroup 16SrXIII-A and the newly described subgroup 16SrXIII-I, were identified from the six samples analyzed, delineating the novel subgroup 16SrXIII-(A/I)I, following the nomenclature proposed for heterogeneous subgroups.
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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 | 0.001 | 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) | 0.000 | 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 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".