MétaCan
Menu
Back to cohort
Record W2340325599

Discovery and characterization of olfactory-related genes in the wheat stem sawfly, Cephus cinctus, a major pest of wheat in the northern plains

2014· dissertation· en· W2340325599 on OpenAlexaboutno aff
Joanna C. Gress

Bibliographic record

VenueMontana State University ScholarWorks (Montana State University) · 2014
Typedissertation
Languageen
FieldAgricultural and Biological Sciences
TopicInsect Pest Control Strategies
Canadian institutionsnot available
Fundersnot available
KeywordsSawflyPEST analysisBiologyAgronomyBotanyEcologyLarva
DOInot available

Abstract

fetched live from OpenAlex

The wheat stem sawfly (WSS), Cephus cinctus (Hymenoptera: Cephidae), is one of the most important insect pests of wheat in the northern Great Plains region of the United States and Canada, with economic losses exceeding $100 million per year. Traditional pest management strategies including pesticides are generally unsuccessful due to an extended adult flight time and the inaccessible larval stage that feeds within the wheat stem. Research towards integrated pest management strategies based on olfaction has proved promising. However, little is known about the molecular basis of olfaction in this important insect pest. We have identified and annotated 131 members of the major olfactory-related gene families from antennal transcriptome and whole genome sequences, including: 6 odorant binding proteins (OBP), 8 chemosensory proteins (CSP), 53 odorant receptors (OR), 14 ionotropic receptors (IR), 12 carboxylesterases (CCE), 8 gluthatione S-transferases (GST), and 29 cytochrome P450s (P450). Expression levels in the antennae, sawfly bodies, and whole larvae were analyzed using RNA-seq. Gene expression results were used to identify candidate genes for further functional characterization based on higher enriched expression in antennae and/or sex-biased expression in the antennae. These candidate WSS olfactory genes may mediate important pest behaviors and serve as molecular targets for future insect management strategies.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.565
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
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 head0.009
GPT teacher head0.163
Teacher spread0.154 · 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.

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
Published2014
Admission routes1
Has abstractyes

Explore more

Same venueMontana State University ScholarWorks (Montana State University)Same topicInsect Pest Control StrategiesFrench-language works237,207