Species delimitation of <i>Melia dubia</i> Cav. from <i>Melia azedarach</i> L. complex based on DNA barcoding
Bibliographic record
Abstract
The genus Melia L., which belongs to the “Mahogany” family Meliaceae, is a source of important phytochemicals with marked medicinal properties. Species identification in Melia is complex due to the existence of overlapping morphological features. Although Melia dubia Cav. is listed as a synonym of Melia azedarach L., it is not clear from the available literature whether they are the same species or different, and the species complexity still remains unresolved. In the present study, 10 accessions of M. dubia and M. azedarach were analysed by DNA barcoding using three chloroplast DNA markers (rbcL, matK, and trnH–psbA), and one nuclear marker (ITS2). Intraspecific divergence was not found in any of the four markers. However, the interspecific divergence between M. azedarach and M. dubia ranged between 0.3% (rbcL) and 4.7% (ITS2) for individual markers, and for the combined dataset, it was 8.5%. Among the four markers, ITS2 was found to be the most suitable marker for differentiating M. azedarach and M. dubia. Parsimony analysis of the DNA barcoding data showed a clear segregation between M. azedarach and M. dubia as distinct monophyletic clades in all the markers, except the rbcL marker. Our results based on Bayesian analysis of the concatenated dataset strongly support the view that M. dubia be considered a distinct species; not a synonym of M. azedarach.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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 teacher head, 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".