Identification of ISSR Markers for Studying the Biodiversity of Bulgarian Representatives of Genus<i>Orobanche</i>Subsection<i>Minores</i>
Bibliographic record
Abstract
The family Orobanchaceae consists of parasitic species. One group of taxonomically problematic species is subsection Minores (Beck) Teryokhin genus Orobanche. The species in this subsection (except O. crenata) have been often assigned to aggregate O. minor because of their great morphological similarity. The aim of this study was to find useful molecular makers for characterization of the biodiversity of subsection Minores, Orobanche in Bulgaria and their phylogenetic relationships.Six species of subsection Minores were examined: O. minor Sm.; O. amethystea Thuill.; O. esulae Pančić var. bulgarica T. Georgiev, O. pubescens d'Urv. O. loricata Rchb. and O. crenata Forssk. Genomic DNA was isolated from flowering stems and used as a template for ISSR PCR performed with ten different ISSR primers. The ISSR products were separated on agarose gel and visualized by UV-light. The molecular masses of the polymorphic bands were determined and used to fill Boolean matrices that were subjected to cluster analysis. The suitability of each primer for distinguishing each of the studied species was discussed. The resulting cladogram, based on the average Euclidean distances, displayed grouping by species and by geographic populations. This study confirmed that the assignment of the small-flowered species to agg. O. minor has only practical value and is not genetically justified. The study confirmed the independent taxonomic status of the Balkan endemic species O. esulae.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.002 |
| 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".