Psyllid communication: acoustic diversity, mate recognition and phylogenetic signal
Bibliographic record
Abstract
Acoustic signals play an important role in mate selection and speciation in diverse groups of insects. We report reciprocal acoustic mate signalling, often as highly synchronised duetting, for several species of psyllid (Hemiptera : Psylloidea). We reveal that considerable acoustic diversity is present in Australian psyllids belonging to the family Triozidae. The acoustic signals are species and gender specific. Our acoustic analysis and observations suggest that acoustic signals are important in both species recognition and mate selection in psyllids. We found a significant level of phylogenetic signal in the acoustic data when we compared divergence in genetic data (obtained from mitochondrial DNA sequences of the small subunit rRNA) with divergence in acoustic signals in two groups of Australian psyllids. Phylogenetic reconstruction based on DNA sequence data supports the monophyly of the Eucalyptus-feeding genus Schedotrioza Tuthill & Taylor, 1955, whereas a diverse but little known group on Casuarinaceae hosts appears to be paraphyletic. These two psyllid groups also differ in amounts of geographical and ecological sympatry. We found a significant positive correlation between acoustic distance and genetic distance using pairwise comparisons for all taxa, but the trends within the two groups differ due to a negative association between acoustic and genetic divergence among the sympatric taxa. Phylogenetic information in acoustic data may be greatest in recently speciating and allopatric groups because of increased acoustic divergence in sympatric taxa and greater acoustic convergence in more distantly related species.
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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 | 0.001 |
| 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 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".