MétaCan
Menu
Back to cohort
Record W4416313437 · doi:10.1111/eea.70036

Effects of Phytoplasma Infection on Aster Leafhopper ( <i>Macrosteles quadrilineatus</i> ) Settling Behavior and Development on <i>Brassica napus</i>

2025· article· en· W4416313437 on OpenAlexafffund
J. E. Irvine, Berenice Romero, Sean M. Prager

Bibliographic record

VenueEntomologia Experimentalis et Applicata · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPhytoplasmas and Hemiptera pathogens
Canadian institutionsUniversity of Saskatchewan
FundersNatural Sciences and Engineering Research Council of CanadaCanola Council of Canada
KeywordsLeafhopperPhytoplasmaAster yellowsNymphHost (biology)HomopteraVector (molecular biology)

Abstract

fetched live from OpenAlex

ABSTRACT Aster yellows phytoplasma (AYp) is a mollicute that infects numerous crops, including canola ( Brassica napus L.), in which it is pathogenic, and is transmitted by the aster leafhopper ( Macrosteles quadrilineatus Forbes). Understanding how AYp infection alters vector behavior and development is critical for predicting disease dynamics in agricultural systems. We used two‐choice and no‐choice bioassays to assess settling preferences and developmental performance of AYp‐infected and uninfected leafhoppers on AYp‐infected and uninfected B. napus . Arabidopsis thaliana L. was included as a reference host for developmental comparisons. At 2 weeks post‐infection, leafhoppers showed a significant preference for AYp‐infected plants; by 4 weeks, this preference disappeared. Uninfected leafhoppers produced significantly more nymphs on AYp‐uninfected plants than on AYp‐infected plants, although survival on B. napus was poor, and no individuals completed development. Phytoplasma titers in plants increased over time and corresponded with symptom severity. These results show that while AYp infection briefly influences vector settling behavior, B. napus is a marginal host that does not support full development, providing insight into vector–pathogen interactions and disease epidemiology in canola systems.

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)0.000
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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.021
Threshold uncertainty score0.557

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.012
GPT teacher head0.266
Teacher spread0.253 · 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

Citations0
Published2025
Admission routes2
Has abstractyes

Explore more

Same venueEntomologia Experimentalis et ApplicataSame topicPhytoplasmas and Hemiptera pathogensFrench-language works237,207