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Record W2779764380 · doi:10.1104/pp.17.01412

A New Barley Stripe Mosaic Virus Allows Large Protein Overexpression for Rapid Function Analysis

2017· article· en· W2779764380 on OpenAlexafffund
Arnaud Cheuk, Mario Houde

Bibliographic record

VenuePLANT PHYSIOLOGY · 2017
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Virus Research Studies
Canadian institutionsUniversité du Québec à Montréal
FundersNatural Sciences and Engineering Research Council of CanadaChina Agricultural University
KeywordsBiologyGeneFunction (biology)Functional genomicsGene silencingComputational biologyTransgeneGene expressionGenetically modified cropsPlant virusGeneticsCell biologyGenomicsVirusGenome

Abstract

fetched live from OpenAlex

Understanding the genetic and molecular bases of gene function is of increasing importance to harness their potential to produce plants with novel traits. One important objective is the improvement of plant productivity to meet future demands in food crop production. Gene function is mostly characterized through overexpression or silencing in transgenic plants. This approach is a lengthy procedure, especially in cereals. Plant viral expression systems can be used for rapid expression of proteins. However, current systems have a small cargo capacity and have mostly been used for gene silencing. Here, a four-component barley stripe mosaic virus-based system with high cargo capacity was constructed for the rapid and stable expression of recombinant proteins in different plant species, allowing function analyses at different stages of development. Fluorescent marker proteins are expressed at high levels within 1 week, and a proof of efficient function analysis is shown using the aluminum malate transporter1 gene. In addition to the ability of gene cotransformation, this work demonstrates that the four-component barley stripe mosaic virus-based system allows the overexpression of cDNAs of up to 2,100 nucleotides (encoding a protein of ∼78 kD), thereby providing an invaluable tool to accelerate functional genomics and proteomic research in monocot and dicot species.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.876
Threshold uncertainty score0.705

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 studies0.0010.000
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 head0.040
GPT teacher head0.272
Teacher spread0.232 · 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

Citations59
Published2017
Admission routes2
Has abstractyes

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