Cross-Resistance, Inheritance, and Biochemistry of Mitochondrial Electron Transport Inhibitor-Acaricide Resistance in <I>Tetranychus urticae</I> (Acari: Tetranychidae)
Bibliographic record
Abstract
Resistance of the twospotted spider mite, Tetranychus urticae Koch, to acaricides acting as mitochondrial electron transport inhibitors (METIs) is an increasing problem. Because of their high levels of cross-resistance to all commercially available METI-acaricides, a Japanese strain (AKITA) and an English strain (UK-99) of T. urticae were investigated in detail. Larvae of both strains, AKITA and UK-99, showed 1,100- and 480-fold resistance against pyridaben, 870- and 45-fold resistance against fenpyroximate, and 33- and 44-fold resistance against tebufenpyrad, respectively, in a foliar spray application bioassay compared with the susceptible strain GSS. These resistance factors remained stable even when maintained in the laboratory without further selection. Furthermore, strain AKITA showed cross-resistance to dicofol. The METI resistant strains AKITA and UK-99 showed 2.4- and 1.7-fold enhanced O-ethoxycoumarin O-deethylation (cytochrome P450) activity. Increased oxidative metabolism of the METI-acaricides in the resistant strains could be partially suppressed in vivo by the monooxygenase-inhibitor piperonyl butoxide. Reciprocal crosses of homozygous, diploid females and hemizygous, haploid males of strains GSS (susceptible) and AKITA (resistant) revealed that resistance to pyridaben and fenpyroximate was inherited incompletely dominant with slight differences between maternal and paternal inheritance. This is the first attempt to mechanistically describe METI-acaricide resistance in T. urticae. The implications for resistance management strategies are discussed.
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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".