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Record W4281771012 · doi:10.1002/leg3.154

A fast and efficient method to introduce apple latent spherical virus to legume plants via <scp><i>Agrobacterium rhizogenes</i></scp>‐mediated transformation of hairy roots

2022· article· en· W4281771012 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueLegume Science · 2022
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Virus Research Studies
Canadian institutionsUniversity of SaskatchewanAgriculture and Agri-Food Canada
FundersSaskatchewan Pulse Growers
KeywordsAgrobacteriumBiologySativumInoculationLegumePisumclone (Java method)Transformation (genetics)Gene silencingGeneFunctional genomicsBotanyVirusPlant virusVirologyGeneticsHorticultureGenomicsGenome

Abstract

fetched live from OpenAlex

Abstract Virus‐induced gene silencing (VIGS) is a functional genomics tool used to determine the function of unknown genes or assess the impact of gene silencing on plant phenotype. However, VIGS methods for analyzing gene function are not equally efficient across species, and virus inoculation is difficult for some legume species. We describe a fast and efficient inoculation method using Agrobacterium rhizogenes K599 harboring an apple latent spherical virus (ALSV) full‐length cDNA clone. Pisum sativum cv. AAC Lacombe and Lens culinaris cv. CDC Viceroy showed silencing rates of 100% and 47.7%, respectively, within 30 days starting from seed. To our knowledge, this is the first report of virus inoculation by A. rhizogenes ‐mediated introduction to legume plants. This work paves the way for high throughput gene function screening in Pisum sativum and other closely related legume crops using ALSV as a symptomless VIGS vector.

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)0.002
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 score0.253
Threshold uncertainty score0.576

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.001
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 head0.017
GPT teacher head0.253
Teacher spread0.235 · 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