Genetic structure and population demographics of <i>Hypnoidus bicolor</i> ( <scp>C</scp> oleoptera: <scp>E</scp> lateridae) in the <scp>C</scp> anadian <scp>P</scp> rairies
Bibliographic record
Abstract
BACKGROUND: Following banning of the pesticide lindane in most counties, wireworms (i.e., the soil-living larval stages of click beetles) have become major pests of a variety of economically important field crops. Hypnoidus bicolor is a common pest species in the Canadian Prairies. However, little is known about its life history, which impedes the development of effective integrated pest management (IPM) strategies. Population genetic approaches have the potential to assist in the development of IPM. RESULTS: We sequenced a 622-bp fragment of the COX1 gene from 326 H. bicolor wireworm and click beetles collected from 13 localities on the Canadian Prairies. Two genetically distinct (>4.66% sequence divergence) clades were identified, suggesting that they may be part of a species complex. Clade A predominated and increased in prevalence the further east samples were collected, whereas the opposite was true for clade B. Clade B appears to be comprised of two mitochondrial DNA groups, however, one group was represented by only one haplotype. Both clades were characterized by uneven gene flow among populations with low levels of regional genetic structuring. Clade A appeared to have undergone population and range expansions, which may coincide with the advent of intensive agriculture practices in the prairies. CONCLUSION: Knowledge of species composition and population structure is important for the development of effective IPM strategies but is often lacking for wireworms. Our study fills these knowledge gaps for a predominant pest species in the prairies, H. bicolor, by providing robust evidence for cryptic forms and characterizing its dispersal patterns and population dynamics. © 2021 Society of Chemical Industry.
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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 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| 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".