Using multiple lines of evidence to delimit protogynes and deutogynes of four-legged mites: a case study on Epitrimerus sabinae s.l. (Acari : Eriophyidae)
Bibliographic record
Abstract
Accurate species delimitation is essential for the study of biodiversity, but morphological approaches often provide a limited ability to connect different life stages, sexes or other phenotypic variants in eriophyoid mites because many species possess two phenotypically distinct forms: protogynes and deutogynes. In this study, we analysed the morphological variation in 26 populations of the eriophyoid mite, Epitrimerus sabinae Xue & Hong, 2005 s.l., from sites across its entire known distribution and revealed three morphotypes (LNS: large, normal palp seta d; MBS: medium, bifurcated palp seta d; SBS: small, bifurcated palp seta d) distinguished by body size and structure of dorsal pedipalp genual seta. Five lines of evidence (morphometrics, DNA-based species delimitation, phylogenetics, haplotype network, mitochondrial genome architecture) indicated that the MBS and SBS groups were very distinct from LNS (E. sabinae s.s.). In fact, the MBS and SBS morphotypes are properly placed in the genus Leipothrix with the MBS lineage representing the protogyne of L. juniperensis, sp. nov., whereas the SBS lineage is its deutogyne. By expanding the approaches used to link protogynes and deutogynes of eriophyoid mites, this study provides a way to accelerate the delineation of species boundaries in this important group of plant pests.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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".