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Record W2620533629 · doi:10.1111/plb.12582

Epistatic influence in tomato Ve1‐mediated resistance

2017· article· en· W2620533629 on OpenAlexafffund
Christian Danve M. Castroverde, Xin Xu, Josefa Blaya Fernández, Ross N. Nazar, Jane Robb

Bibliographic record

VenuePlant Biology · 2017
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant-Microbe Interactions and Immunity
Canadian institutionsUniversity of Guelph
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsBiologyEpistasisGeneTransgeneLocus (genetics)Wild typeGeneticsMutant

Abstract

fetched live from OpenAlex

Resistance to Verticillium wilt disease is associated with the tomato Ve-locus; however, the individual functional roles of Ve1 and Ve2 in host plants remain controversial. As a first step towards Ve mutational analyses in planta, the Ve1 coding region from a resistant tomato near-isoline (cv. Craigella GCR218) was introduced into a susceptible near-isoline (cv. Craigella GCR26). 35S:Ve1 plants segregated into two distinct classes; roughly half were resistant and half were susceptible. Ve1 transcript levels were up-regulated in both classes compared to wild-type plants, showing stable transgenic expression. Expression analysis of Ve2 revealed that mRNA levels were similar between 35S:Ve1 and wild-type tomatoes, demonstrating that Ve1 transgene introduction does not alter endogenous Ve2 expression. Overall, the results of this study confirm the functional role of Ve1 protein in resistance to the vascular fungal pathogen V. dahliae race 1 (Vd1), but suggest that a yet undefined factor exerts an epistatic influence on the Ve1 gene.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.021
GPT teacher head0.246
Teacher spread0.225 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations5
Published2017
Admission routes2
Has abstractyes

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