Genome resequencing and genome‐wide polymorphisms in Chinese population of <i>Phyllotreta striolata</i> (Coleoptera, Chrysomelidae)
Bibliographic record
Abstract
Abstract The striped flea beetle, Phyllotreta striolata, is a globally notorious pest of cruciferous vegetables. In this study, we sequenced the genome of a Chinese population of P. striolata and aligned it with the reference genome from a Canadian population. Through Illumina sequencing and reference‐based genome polishing, we obtained a high‐quality genome of 131.31 Mb with an N50 size of 8.68 Mb. Genome comparison revealed that the Chinese and Canadian populations of P. striolata presented 175 and 122 population‐specific genes, respectively. Through a genome‐wide screening, six genes were identified as potential RNA interference targets influencing the development or survival of P. striolata. Additionally, we identified 1.16 million high‐confidence variants in the Chinese P. striolata population, including 0.69 million single‐nucleotide polymorphisms and 0.43 million insertions/deletions. Variant effect analysis and functional annotation revealed 7571 variants with high‐impact effects, and the related genes were involved in various basic biological processes in P. striolata. Overall, our findings provide valuable resources for advancing genomic research on P. striolata as well as for those pursuing targeted biopesticides for effective control strategies.
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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 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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".