Genetic and phenotypic effects of hybridization in independently introduced populations of the invasive maize pest <em>Diabrotica virgifera virgifera</em> in Europe
Bibliographic record
Abstract
The North American western corn rootworm, Diabrotica virgifera virgifera LeConte (Coleoptera: Chrysomelidae) was introduced into Europe several times during the end of the 20th century. Outbreaks in north-western Italy (NW Italian) and central and south-eastern Europe (CSE European) have merged in 2008 and insects interbreed since then. This study compared the genetic diversity (multi-locus genotype analyses at 13 microsatellites markers) and ten phenotypic traits among the CSE European and NW Italian populations as well as their hybrid offspring. All insects were reared under standardised laboratory conditions. Neutral genetic polymorphism appeared moderate in parental and hybrid populations, compared to North American populations. Some increase in neutral genetic variability was detected in the hybrids` expected heterozygosity and allelic richness compared to parental populations when family structures were considered. In 70% of the assessed phenotypic traits, the population type (CSE European, NW Italian, hybrids) influenced a trait, but averages in hybrids never exceeded those in their parents. Population type did not influence fecundity or adult lifespan (reflecting fitness) and not the proportion of adults flying (reflecting dispersal capabilities). There was no evidence yet that hybridization influences variability of phenotypic traits. In conclusion, there are only few indications that hybrids between the two overlapping invading European populations may in the longer term, take advantage through higher neutral genetic diversity and subsequent phenotypic adaptability.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".