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Record W13621076

Assessment of promoter function and enhancing disease resistance in transgenic carrot (Daucus carota L.)

2010· dissertation· en· W13621076 on OpenAlexfundno aff
Owen Wally

Bibliographic record

Venue˜The œJournal of the Maine Medical Association · 2010
Typedissertation
Languageen
FieldAgricultural and Biological Sciences
TopicAgricultural Practices and Plant Genetics
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of CanadaDirectorate for Biological Sciences
KeywordsDaucus carotaTransgeneResistance (ecology)BiologyHorticultureBotanyGeneGeneticsAgronomy
DOInot available

Abstract

fetched live from OpenAlex

Genetic engineering is a promising strategy for creating agriculturally significant resistance in carrot. Several different transgenic strategies, in addition to conducting a detailed quantification of commonly used promoters to achieve disease resistance were investigated. Tissue-specific patterns and levels of protein expression were characterized in transgenic carrot plants transformed with the ?-glucuronidase gene driven by five promoters: Cauliflower moasaic virus 35S, double 35S (D35S), Arabidopsis ubiquitin (UBQ3), mannopine synthase (mas2) or rooting loci promoter (rolD). UBQ3 promoter provided the highest levels of expression in roots, while D35S and 35S promoters had high expression in leaves. rolD and Mas2 promoters had enhanced root expression; however levels were much lower compared to the constitutive promoters, which were subsequently used in this research. Genes encoding a rice peroxidase (POC1), wheat chitinase (383) and ?1,3- glucanase (638) were introduced into carrot. Lines expressing 638 alone had no enhanced resistance to B. cinerea or S. scleorotiorum, while 383 lines reduced disease symptoms by up to 40%. When 638 and 383 were co-expressed resistance levels were similar to 383 alone. High levels of disease resistance were seen in lines expressing POC1 with 70-90% reduction in symptoms to B. cinerea and S. sclerotiorum. POC1 lines had 20-30% increases in lignin levels in petioles and roots, which was enhanced with pathogen challenge. Several defence genes exhibited strong induction in POC1 expressing plants when induced with fungal cell wall elicitor. Additionally, POC1 lines had reduced H2O2 accumulation during oxidative burst response. POC1 derived resistance was effective towards necrotrophic pathogens. Over-expression of Arabidopsis Nonexpressor of Pathogenesis Related protein 1 was studied in carrot, with two independent lines successfully generated and analyzed. There was no detectable activation of the systemic acquire resistance (SAR) pathways in the absence of pathogens, however, the lines exhibited more intense and longer lasting activation of SAR when elicited with fungal cell walls or Salicylic acid. Both lines were highly resistant against biotrophic and necrotrophic foliar pathogens and the roots were resistant towards A. radicina, indicating broad-spectrum disease resistance. The results from this study demonstrate the feasibility of engineering disease resistance in carrot using several different approaches.

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)0.002
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.740
Threshold uncertainty score0.975

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.006
GPT teacher head0.230
Teacher spread0.224 · 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 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

Citations0
Published2010
Admission routes1
Has abstractyes

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