Insights on <i>mauritiana</i>-like elements diversity in <i>Mayetiola destructor</i> and <i>M. hordei</i> (Diptera: Cecidomyiidae)
Bibliographic record
Abstract
Mariner-like elements (MLEs) are class II transposons belonging to the Tc1-mariner family that have successfully invaded many insect genomes. In the current study, the availability of the Hessian fly, Mayetiola destructor, genome has enabled us to perform in silico analysis of MLEs using a previously described mariner element (Desmar1) belonging to the mauritiana subfamily. Eighteen mauritiana-like elements were detected and clustered into three main groups: Desmar1-like, MauCons1, and MauCons2. Subsequently, in vitro analysis was carried out to investigate mauritiana-like elements in M. destructor as well as in Mayetiola hordei using primers designed from TIRs of previously identified MLEs. PCR amplifications were successful, and a total of 12 and 17 mauritiana-like elements were detected in M. destructor and M. hordei, respectively. Sequence analyses of mauritiana-like elements obtained in silico and in vitro have shown that MauCons1 and MauCons2 elements share low similarity with Desmar1 ranging from 50% to 55%, suggesting that different groups under the mauritiana subfamily have invaded the genomes of M. destructor and M. hordei. These groups were likely inherited by vertical transmission, which subsequently underwent different evolutionary histories. This work describes new mauritiana-like elements in M. destructor that are distinct from the previously discovered Desmar1 and provides the first evidence of MLEs belonging to the mauritiana subfamily in M. hordei.
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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".