Deciphering the patterns and timing of diversification of the genus Melanastera (Hemiptera: Psylloidea: Liviidae) in the Neotropics
Bibliographic record
Abstract
Even after decades of research on diversification in the Neotropics, our understanding of the evolutionary processes that shaped Neotropical clades is still incomplete. In the present study, we used different divergence times and likelihood-based methods to investigate the influence of biogeography and host plant associations on the diversification of the most species-rich psyllid genus Melanastera (Liviidae) from the Neotropics as a model group of herbivorous insects. We used molecular phylogenetic data from seven gene fragments (four mitochondrial and three nuclear). The putatively monophyletic group of Neotropical Melanastera species has an estimated crown node age of 20.2 Ma (ML, CI 20.2-30.6) or 23.2 Ma (BI, 95 % HPD 16.6-32.6), with diversification occurring mainly in the Upper Miocene, although some species groups diversified in the Pliocene or Pleistocene. Biogeographic analysis suggests that the Neotropical Melanastera originated from the Pacific region of South and Central America. We detected a shift in diversification rates that likely occurred either at the time of origin of Melanastera or during the main colonisation of the Atlantic and Amazon Forests, followed by a subsequent slowdown in speciation rates. State-dependent speciation and extinction models revealed a significant relationship between this diversification shift and the shift of Melanastera to the plant families Melastomataceae and Annonaceae, reflecting the impact of host switching on speciation rates in this group. This period also coincides with several independent dispersal events from the Atlantic and Amazon Forests to other parts of the Neotropics. Taken together, the results of the current study suggest that diversification of Melanastera was facilitated by shifts to new host families, which may have promoted the dispersal of Melanastera into new adaptive zones with subsequent processes of local speciation.
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 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".