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Record W1848992884 · doi:10.5539/jas.v7n9p66

Detoxification Enzyme Activity and Gene Expression in Diafenthiuron Resistant Whitefly, Bemisia tabaci

2015· article· en· W1848992884 on OpenAlexvenueno aff
Baizhong Zhang, Fan-chao Kong, Xinnian Zeng

Bibliographic record

VenueJournal of Agricultural Science · 2015
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicInsect-Plant Interactions and Control
Canadian institutionsnot available
FundersSpecial Fund for Agro-scientific Research in the Public Interest
KeywordsCarboxylesteraseStrain (injury)Cytochrome P450BiologyWhiteflyEnzymeGlutathione S-transferaseMonooxygenaseGlutathioneToxicologyBiochemistryBotany

Abstract

fetched live from OpenAlex

B-biotype Bemisia tabaci has developed high levels of resistance to many insecticides. To investigate the risks and explore possible mechanisms of resistance to the diafenthiuron in B. tabaci, a 24.7-fold diafenthiuron resistant strain (TH-R) was established after selection for 20 generations compared with the susceptible strain (TH-S). Biochemical assays showed that the activity of cytochrome P450 towards P-NA was significantly higher (3.6-fold higher) in the TH-R strain than in the TH-S strain. Similarly, the carboxylesterase (COE) activity and Glutathione S-transferase (GST) activity were also significantly higher (2.55- and 1.65-fold higher, respectively) in the TH-R strain than in the TH-S strain. The expression of 5 of 7 P450 genes was significantly higher (>2.3-fold) in the TH-R strain than in the TH-S strain. The expression of COE1 was significantly higher (>2.3-fold) in the TH-R strain than in the TH-S strain. Cytochrome P450, COE and GST appear to be responsible for the resistance to diafenthiuron in B. tabaci. It is also valuable for usage of insecticides for resistance management and control of this species.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.733
Threshold uncertainty score0.141

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.020
GPT teacher head0.232
Teacher spread0.213 · 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 teacher head, 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

Citations14
Published2015
Admission routes1
Has abstractyes

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