Population structure and species boundary delimitation of cryptic <i>Dioryctria</i> moths: an integrative approach
Bibliographic record
Abstract
Accurate delimitation of species boundaries is especially important in cryptic taxa where one or more character sources are uninformative or are in conflict. Rather than relying on a single marker to delimit species, integrative taxonomy uses multiple lines of evidence such as molecular, morphological, behavioural and geographic characters to test species limits. We examine the effectiveness of this approach by testing the delimitation of two cryptic Nearctic species of Dioryctria (Lepidoptera: Pyralidae) using three independent molecular markers [cytochrome c oxidase I (COI), second internal transcribed spacer unit (ITS2), and elongation factor 1alpha (EF1alpha)], forewing variation and larval host plant association. Although mitochondrial DNA (mtDNA) haplotypes do not form reciprocally monophyletic clades, restricted gene flow between COI haplotype groups, and concordance with ITS2 genotypes, forewing variation and host plant associations support delimitation of two Nearctic species: eastern Dioryctria reniculelloides and western Dioryctria pseudotsugella. Conversely, EF1alpha genotype variation was incongruent with the two previous markers. A case of discordance between COI and ITS2 was detected, suggesting either introgression due to hybridization or retained ancestral polymorphism due to incomplete coalescence. This study is consistent with other similar literature where molecular loci in closely related species progress from shared to fixed haplotypes/alleles, and from polyphyletic to reciprocally monophyletic relationships, although loci may vary in these characteristics despite maintenance of genomic integrity between distinct species. In particular, mtDNA in other studies generally showed a lower rate of fixation of differences than did X-linked or autosomal loci, reinforcing the need to use an integrative approach for delimiting species.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".