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Record W4417409557 · doi:10.64898/2025.12.13.694159

Adaptation of an herbivorous arthropod to green tea plants by overcoming catechin defenses

2025· article· W4417409557 on OpenAlexaff
Naoki Takeda, Brendan Abiskaroon, Ricardo Hernández Arriaza, Ryutaro Murakami, Masanobu Yamamoto, Vladimir Zhurov, Vojislava Grbić, M. Chruszcz, Takeshi Suzuki

Bibliographic record

VenuebioRxiv (Cold Spring Harbor Laboratory) · 2025
Typearticle
Language
FieldAgricultural and Biological Sciences
TopicInsect-Plant Interactions and Control
Canadian institutionsWestern University
FundersU.S. Department of AgricultureJapan Society for the Promotion of ScienceCabinet Office, Government of JapanMoonshot Research and Development ProgramNational Institute of Food and AgricultureBio-oriented Technology Research Advancement InstitutionNational Science Foundation
KeywordsCatechinHerbivoreAdaptation (eye)Green leaf volatilesGeneralist and specialist speciesGreen teaMite

Abstract

fetched live from OpenAlex

Abstract Green tea catechins are known antioxidants that benefit human health and protect tea plants from biotic stressors. However, some herbivores can counteract catechin defenses and can use tea plants as a host. Among herbivorous mites, an extreme generalist Tetranychus urticae has not been reported as a tea pest. Instead, T. kanzawai , another generalist, has some populations that thrive on tea plants. Here, we investigated the mechanism of the adaptation of these mites to tea plants. Comparative study of the intra- and inter-specific variations in mite performances uncovered differences in their behavioral and xenobiotic responsiveness to green tea catechins. We showed that green tea catechins exert complex defensive roles. They were repellent and toxic to T. urticae and tea non-adapted T. kanzawai mites. In addition, they had an antifeedant effect on tea non-adapted T. kanzawai mites. Matching the catechin structure, we identified an intradiol ring-cleavage dioxygenase DOG15 , a gene horizontally transferred from fungi, as one required for the adaptation of T. kanzawai mites to tea plants. The DOG15 gene has an enhanced inducible expression in tea-adapted T. kanzawai mites, with mRNA and protein levels up to 31.6 and 12.1 times higher than in T. urticae mites fed on tea plants. Furthermore, we identified two amino acid substitutions in DOG15 between Tetranychus species leading to the increased efficacy of the T. kanzawai encoded enzyme toward cleavage of green tea catechins. Thus, we showed that mite adaptation to tea plants occurred in a two-step process. The amino acid substitutions in DOG15 predispose T. kanzawai but not T. urticae for the adaptation to tea plants. Further increased expression of modified DOG15 enables T. kanzawai mites to efficiently detoxify green tea catechins, leading to intra- and inter-specific differences in mites’ ability to use tea plants as a host. Our findings reveal how a horizontally transferred gene can be co-opted through structural and regulatory changes to overcome plant chemical defenses, with implications for herbivore host adaptation and tea pest management.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.010
GPT teacher head0.209
Teacher spread0.199 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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