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Systemic induction of phytoalexins in cucumber in response to treatments with fluorescent pseudomonads

2000· article· en· W1965919242 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.

Bibliographic record

VenuePlant Pathology · 2000
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant-Microbe Interactions and Immunity
Canadian institutionsMinistère de l'Agriculture, des Pêcheries et de l'AlimentationUniversité LavalHealth PEIMcGill UniversityAgriculture and Agri-Food Canada
Fundersnot available
KeywordsPythium aphanidermatumBiologyPhytoalexinPythium ultimumSalicylic acidBotanyHyphaBlightRoot rotPhycomycetesHorticultureBiochemistryBiological pest controlInoculation

Abstract

fetched live from OpenAlex

The Pseudomonas putida isolate BTP1 and its sid − mutant M3 were recently reported to protect cucumber against Pythium aphanidermatum root rot. This protection was mainly associated with an accumulation of antifungal phenolics in the treated roots. In this study, analyses of root extracts from split‐root experiments showed that these phytoalexins were produced systemically. Indeed, several antifungal molecules accumulated similarly in both treated and nontreated root parts of plants protected against P. aphanidermatum with BTP1 or M3. In addition, analyses of leaf samples also revealed increased amounts of fungitoxic molecules in PGPR‐treated plants, although the nature of these molecules appeared to be different from those detected in roots. The antifungal compounds isolated both from roots and leaves were mainly detected in acid‐hydrolyzed extracts containing aglycones. These results suggest that PGPR can elicit phytoalexins systemically in cucumber and that the overall defence response is not based on a single phytoalexin but is chemically complex and organ‐specific.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.936
Threshold uncertainty score0.483

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 head0.015
GPT teacher head0.221
Teacher spread0.206 · 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