Identification, Molecular Characterization of a Phytoplasma Affecting Dodonaeaviscosa Plants and Determination of Some Biochemical Constituents in Leaves
Bibliographic record
Abstract
During June-2019, Dodonaea viscosa (L.) Jacq.plants showing typical symptoms of phytoplasma infection such as leaf yellowing, severe malformation, and crinkling were observed in the Agricultural experimental fields of Giza, Egypt.The causal agent of the yellows disease was identified based on symptoms, light microscopic observations, graft transmission, and sequencing of the 16S rRNA gene.Light microscopy of hand-cut sections treated with Dienes' stain showed blue areas in the phloem region of infected plants and the xylem stained turquoise.Phytoplasma was successfully grafttransmitted to D. viscosa and Catharanthus roseus plants.Nested-PCR assay was used for detecting the phytoplasma in the naturally infected plants as well as in the grafted plants with the causal agent, which gave the expected products of 1202 bp with the primer pair R16F2n/R16R2.The 16S rRNA gene sequence of the amplified region was submitted to the GenBank database (NCBI), followed by the accession number "MT940834", under Egy-SAM name, and shown to be identical (100%) to the 16S rRNA gene of phytoplasmas that isolated from Vitis vinifera (FJ824597), Muscari armeniacum (MN080270), and Lactuca sativa (KF573456), in Canada, Hungary, and the USA.The aster yellows phytoplasma group (16SrI) was associated with the D. viscosa plants.On the other hand, changes in the chemical contents of infected leaves of D. viscosa plants showed an increase in total flavonoid content with decreasing the content of total phytosterol.
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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 | 0.000 |
| 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 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".