The genome and stage‐specific transcriptomes of the carrot weevil, <i>Listronotus oregonensis</i> , reveal adaptive mechanisms for host specialisation and symbiotic interactions
Bibliographic record
Abstract
Throughout their evolution, insects have become specialised to occupy diverse ecological niches. The carrot weevil, Listronotus oregonensis, is an important agricultural pest that exhibits a very specific host range. In this study, we characterised the genome and transcriptomes of each developmental stage of L. oregonensis and its Wolbachia endosymbiont to gain deeper knowledge of the genetic determinants controlling its biology. We annotated 14,637 genes and showed expression profiles across the developmental stages. We also compared orthologous genes between L. oregonensis and nine other species, with particular focus on chemoreceptors and detoxification genes. We identified 24 distinct odorant-binding protein genes and 41 genes for receptors involved in stimulus perception, relatively low numbers compared with other species, which would be consistent with a narrow host range. In contrast, we found a high number of detoxification genes, with significant expansion of certain gene families. Among the annotated genes, 46 were putatively acquired through horizontal gene transfer, with 17 showing strong evidence for this, including several cell-wall degrading enzymes. The phylogeny of a cytolethal distending toxin gene also suggests an initial transfer from a prokaryotic source and vertical dissemination in members of Curculionidae through recent evolution. The presence of the endosymbiotic bacterium Wolbachia (supergroup A) was confirmed in all tested L. oregonensis individuals from several regions in northeastern North America and showed very little diversity. This study enhances our understanding of the genomic, functional, and evolutionary aspects of a significant agricultural pest and makes important and useful databases available to the scientific community.
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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 | 0.000 | 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".