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Record W4312378089 · doi:10.4039/tce.2022.29

Primary structure and expression of vitellogenin A and vitellogenin B in the desert locust, <i>Schistocerca gregaria</i> (Orthoptera: Acrididae)

2022· article· en· W4312378089 on OpenAlexaff
Ahmed Sayed Ahmed, Norbert H. Haunerland

Bibliographic record

VenueThe Canadian Entomologist · 2022
Typearticle
Languageen
FieldNeuroscience
TopicNeurobiology and Insect Physiology Research
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsVitellogeninAcrididaeVitellogeninsBiologySchistocercaDesert locustOrthopteraJuvenile hormoneLocustMethopreneGeneticsAcridoideaInsectZoologyMigratory locustVitellogenesisGeneBotany

Abstract

fetched live from OpenAlex

Abstract Vitellogenins are the major yolk protein precursors found throughout the animal kingdom. In insects, the primary structures of vitellogenins have been determined in species from most major orders, except for Orthoptera, where only partial sequences have been reported. We amplified and sequenced the complete complementary DNA for two vitellogenins from the desert locust, Schistocerca gregaria (Orthoptera: Acrididae), which code for vitellogenin A and vitellogenin B, two proteins of approximately 200 kDa each. Both proteins are highly expressed at similar rates in adult females only, and their expression can be completely abolished by RNA interference–mediated silencing of the juvenile hormone receptor, methoprene-tolerant (Met). Homologous sequences were inferred from the genome of Locusta migratoria (Orthoptera: Acrididae), yielding complete coding sequences considerably larger than previously published. Vitellogenin A and vitellogenin B from S. gregaria are highly similar to their respective homologues from L. migratoria but show relatively low similarity between each other, suggesting that these genes originated from a common ancestor long before these species diverged.

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 score0.002
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 communication0.0000.000
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 head0.022
GPT teacher head0.245
Teacher spread0.223 · 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
Published2022
Admission routes1
Has abstractyes

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