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Record W7062608790

Understanding insecticide detoxification in the leafcutter bee, Megachile rotundata.

2022· dissertation· en· W7062608790 on OpenAlexaboutno aff

Bibliographic record

VenueFigshare · 2022
Typedissertation
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
Fundersnot available
KeywordsThiaclopridCytochrome P450Detoxification (alternative medicine)BioassayPentatomidaePollinatorMode of action
DOInot available

Abstract

fetched live from OpenAlex

Recent research on three managed bee pollinators, namely the Western honeybee (Apis mellifera), buff-tailed bumblebee (Bombus terrestris) and red mason bee (Osmia bicornis), has demonstrated that cytochrome P450 enzymes belonging to the CYP9Q and CYP9BU lineages provide protection to certain insecticides from three different mode of action classes. The alfalfa leafcutter bee (Megachile rotundata) is the world’s most economically important solitary bee species. Nonetheless, it is unclear whether this species has a CYP9Q/BU ortholog that could afford similar levels of protection against insecticides, to those seen in other managed bee pollinators. To address this question, the M. rotundata CYPome was curated and examined using phylogenetic and syntenic analyses. These investigations revealed that this species lacks a CYP9Q/BU ortholog or closely related P450 enzyme. Topical insecticide bioassays using M. rotundata determined that the species exhibits high sensitivity to all the compounds known to be detoxified by the CYP9Q/BU lineage. For example, M. rotundata is >2,500-fold more sensitive to thiacloprid than A. mellifera. Functional studies, using M. rotundata native microsomes, revealed no significant level of metabolism of any of the insecticides known to be detoxified by the CYP9Q/BU lineages. Radioligand competition assays, on head membrane preparations, showed no significant difference in binding affinity of neonicotinoid and butanolide insecticides at the nicotinic acetylcholine receptor. Taken together these findings indicate that the lack of a CYP9Q/BU ortholog, or closely related P450, in M. rotundata correlates with an inability of microsomal P450s to metabolise certain insecticides in vitro and a high sensitivity to these compounds in vivo. To understand how wide spread the lack of a CYP9Q/BU ortholog might be, genomic and transcriptomic CYP9 sequences from 75 bee species were examined, using phylogenetic analyses. Five of the six bee families included in the phylogeny had genes that were closely related to, or shared a recent ancestor with CYP9Q/BU lineage (~97%). The Megachilidae showed a lower prevalence of CYP9Q/BU orthologs (50%), most notably in the two species of Megachile, where, based on phylogenetic and syntenic analyses, CYP9DM genes have evolved in place of the CYP9Q/BU lineage. Sequencing of the transcriptomes of three UK and one Canadian Megachile species further substantiated that this entire genus (~1500 species) may have CYP9DM rather than CYP9Q/BU genes. Functional expression of this P450 suggested that, in contrast to several Megachilidae CYP9BU-like enzymes, CYP9DM P450s lack the capacity to bind neonicotinoids. From the results generated in this thesis it is clear that the use of other managed bee species as a proxy for M. rotundata in ecotoxicological testing is unreliable. This has important implications for regulatory risk assessments. The data also illustrate the utility of using phylogenetic analyses, with targeted functional studies, as a tool to predict the level of sensitivity to insecticides of a bee 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 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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.004

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 communication0.0000.001
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 head0.125
GPT teacher head0.325
Teacher spread0.200 · 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 designObservational
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
Published2022
Admission routes1
Has abstractyes

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