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Record W4408240352 · doi:10.5376/me.2024.15.0021

Aphids as Vectors of Plant Viruses: Mechanisms of Transmission and Host Interaction

2024· article· en· W4408240352 on OpenAlex
Yunping Huang, Xuan Jia

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueMolecular Entomology · 2024
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Virus Research Studies
Canadian institutionsnot available
Fundersnot available
KeywordsHost (biology)VirologyBiologyTransmission (telecommunications)Plant virusComputer scienceVirusGeneticsTelecommunications

Abstract

fetched live from OpenAlex

This study systematically reviews the mechanisms by which aphids act as vectors for plant viruses and their interactions with host plants. By synthesizing recent findings on the molecular and ecological aspects of aphid-transmitted plant viruses, this study explores the significant roles of aphid biology, morphology, and endosymbionts in virus transmission. Plant viruses can manipulate host plant physiology to enhance transmission efficiency, with changes including virus-induced impacts on host metabolism and gene expression, thereby altering aphid behavior and increasing transmission effectiveness. This study also reveals that aphids exhibit complex behavioral and physiological adaptations in virus transmission. Understanding the interactions between aphids, viruses, and host plants is crucial for developing effective management strategies to mitigate the global agricultural impact of aphid-transmitted plant viruses.

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.

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 score0.005
Threshold uncertainty score0.135

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 head0.022
GPT teacher head0.281
Teacher spread0.259 · 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