Phenotypic and genetic variation within the Cricotopus sylvestris species-group (Diptera, Chironomidae), across a Nearctic - Palaearctic gradient
Bibliographic record
Abstract
Intraspecific variation sometimes obscures species boundaries and makes identification of certain Chironomidae difficult. This is true for many species in the genus Cricotopus. We used DNA barcode data and multivariate statistical analyses to investigate which phenotypic characters in populations of the Cricotopus sylvestris species-group are useful for species identification. Specimens collected across a broad latitudinal range from the Southwest United States through subarctic Canada to northern Norway formed nine distinct barcode clusters. Body size of adult flies decreased by 51% from the northern to southernmost populations. Meristic characters in wings and legs were strongly related to overall body size, and related morphometric ratios were not species specific. Antennal ratio increased significantly with body size, thus limiting its value in species delimitation. Non-metric ordinations of setal and coloration pattern data were characteristic for most species in the sylvestris-group. DNA barcode data worked well in separating morphologically different populations, except for the case of C. (I.) sylvestris and C. (I.) trifasciatus, which were distinguished by ordination of color pattern, but not by barcoding data. These two species appeared closely related, and we conclude that sequence data from neutral nuclear markers will be necessary to determine if these are genetically distinct species, or whether there is merely a high level of environmental plasticity in pigmentation within this geographically widespread barcode cluster.doi: 10.5324/fn.v31i0.1417.Published online: 17 October 2012.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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".